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ORCIDFrancisco Herrera
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- affiliation: University of Granada, Department of Computer Science and Artificial Intelligence
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2020 – today
- 2025
[j587]Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez Barroso, Cristina Zuheros, Ignacio Aguilera-Martos
, Beatriz Bello, Mario García-Márquez, María Victoria Luzón:
FLEX: Flexible Federated Learning Framework. Inf. Fusion 117: 102792 (2025)- [j586]Diego García-Gil, David López, Daniel Argüelles-Martino, Jacinto Carrasco, Ignacio Aguilera-Martos, Julián Luengo, Francisco Herrera:
Developing Big Data anomaly dynamic and static detection algorithms: AnomalyDSD spark package. Inf. Sci. 690: 121587 (2025) - [j585]Alberto Argente-Garrido, Cristina Zuheros, María Victoria Luzón, Francisco Herrera:
An interpretable client decision tree aggregation process for federated learning. Inf. Sci. 694: 121711 (2025) - [j584]José Daniel Pascual-Triana, Alberto Fernández, Javier Del Ser, Francisco Herrera:
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A data-morphology-based counterfactual generation method for trustworthy artificial intelligence. Inf. Sci. 701: 121844 (2025) - [i78]Daniel Molina, Javier Del Ser, Javier Poyatos, Francisco Herrera:
The Paradox of Success in Evolutionary and Bioinspired Optimization: Revisiting Critical Issues, Key Studies, and Methodological Pathways. CoRR abs/2501.07515 (2025) - [i77]Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera:
Krum Federated Chain (KFC): Using blockchain to defend against adversarial attacks in Federated Learning. CoRR abs/2502.06917 (2025) - [i76]Andrés Herrera-Poyatos, Javier Del Ser, Marcos López de Prado, Fei-Yue Wang, Enrique Herrera-Viedma, Francisco Herrera:
Responsible Artificial Intelligence Systems: A Roadmap to Society's Trust through Trustworthy AI, Auditability, Accountability, and Governance. CoRR abs/2503.04739 (2025) - [i75]Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera:
Membership Inference Attacks fueled by Few-Short Learning to detect privacy leakage tackling data integrity. CoRR abs/2503.09365 (2025) - [i74]Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera:
Improving (α, f)-Byzantine Resilience in Federated Learning via layerwise aggregation and cosine distance. CoRR abs/2503.21244 (2025) - 2024
- [j583]Juan-Luis Suárez, Germán González-Almagro, Salvador García, Francisco Herrera:
Metric learning for monotonic classification: turning the space up to the limits of monotonicity. Appl. Intell. 54(5): 4443-4466 (2024) - [j582]Diego García-Gil, Salvador García, Ning Xiong, Francisco Herrera:
Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data. Cogn. Comput. 16(4): 1572-1588 (2024) - [j581]María Victoria Luzón, Nuria Rodríguez Barroso, Alberto Argente-Garrido, Daniel Jiménez-López, Jose M. Moyano, Javier Del Ser, Weiping Ding, Francisco Herrera:
A Tutorial on Federated Learning from Theory to Practice: Foundations, Software Frameworks, Exemplary Use Cases, and Selected Trends. IEEE CAA J. Autom. Sinica 11(4): 824-850 (2024) - [j580]Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera:
General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance. Inf. Fusion 103: 102135 (2024) - [j579]Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf:
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions. Inf. Fusion 106: 102301 (2024) - [j578]Jeronimo Duran, Antonio-Francisco Roldán-López-de-Hierro, Francisco Herrera, Rosana Montes:
On-line linguistic Decision Support System based on Citizen Crowd Decision Making. Inf. Fusion 108: 102416 (2024) - [j577]Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Anna Saranti, Andreas Holzinger:
On generating trustworthy counterfactual explanations. Inf. Sci. 655: 119898 (2024) - [j576]Nuria Rodríguez Barroso, Eugenio Martínez Cámara, José Camacho-Collados, María Victoria Luzón, Francisco Herrera:
Federated Learning for Exploiting Annotators' Disagreements in Natural Language Processing. Trans. Assoc. Comput. Linguistics 12: 630-648 (2024) - [j575]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7391-7404 (2024) - [j574]Yao Li, Meiqian Chen, Cong-Cong Li, Yucheng Dong, Francisco Herrera:
Measuring Additive Consistency of Linguistic Preference Relations in a Personalized-Individual-Semantics Context: A Systematic Investigation With Axiomatic Design. IEEE Trans. Syst. Man Cybern. Syst. 54(4): 2613-2624 (2024) - [c236]Francisco Herrera:
Attentiveness on criticisms and definition about Explainable Artificial Intelligence. FedCSIS 2024: 45-52 - [c235]Nuria Rodríguez Barroso, Javier Del Ser, María Victoria Luzón, Francisco Herrera:
Defense Strategy against Byzantine Attacks in Federated Machine Learning: Developments towards Explainability. FUZZ 2024: 1-8 - [c234]Ignacio Antequera-Sánchez, Juan Luis Suárez-Díaz, Rosana Montes, Francisco Herrera:
Establishing the Foundation for Out-of-Distribution Detection in Monument Classification Through Nested Dichotomies. HAIS (2) 2024: 165-176 - [c233]Juan José Herrera Aranda, Francisco Herrera, Isaac Triguero:
A Preliminary Study on Preprocessing the Semantic Space in Zero-Shot Learning. HAIS (2) 2024: 177-189 - [c232]Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo, Francisco Herrera:
Local Attention: Enhancing the Transformer Architecture for Efficient Time Series Forecasting. IJCNN 2024: 1-8 - [c231]David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes-Soldado, Paloma de Palacios, Luis G. Esteban, Alberto García-Iruela, Francisco G. Fernández, Francisco Herrera:
Deep Learning methodology for the identification of wood species using high-resolution macroscopic images. IJCNN 2024: 1-8 - [c230]Javier Del Ser, Aitor Martínez-Seras, Miren Nekane Bilbao, Jesus L. Lobo, Ibai Laña, Francisco Herrera:
Balancing Performance, Efficiency and Robustness in Open-World Machine Learning via Evolutionary Multi-objective Model Compression. IJCNN 2024: 1-8 - [d2]Rosana Montes, David Herrera-Poyatos, Andrés Herrera-Poyatos, Francisco Herrera, Paloma de Palacios, Alberto García-Iruela, G. Estevan Luis:
GOIMAI DataSet-Phase-I of high-resolution macroscopic images for the identification of wood species. Zenodo, 2024
- [d1]Rosana Montes, David Herrera-Poyatos, Andrés Herrera-Poyatos, Francisco Herrera, Paloma de Palacios, Antonio de Marco Blanco, Alberto García-Iruela, Francisco G. Fernández, Luis G. Esteban:
GOIMAI DataSet-Phase-I of high-resolution macroscopic images for the identification of wood species. Zenodo, 2024 - [i73]Rosana Montes, Cristina Zuheros, Jeovani M. Morales, Noe Zermeño, Jeronimo Duran, Francisco Herrera:
Design and consensus content validity of the questionnaire for b-learning education: A 2-Tuple Fuzzy Linguistic Delphi based Decision Support Tool. CoRR abs/2402.01775 (2024) - [i72]Rosana Montes, Ana M. Sánchez, Pedro Villar, Francisco Herrera:
Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust. CoRR abs/2403.05550 (2024) - [i71]Cristina Zuheros, David Herrera-Poyatos, Rosana Montes, Francisco Herrera:
Large language models for crowd decision making based on prompt design strategies using ChatGPT: models, analysis and challenges. CoRR abs/2403.15587 (2024) - [i70]Alberto Argente-Garrido, Cristina Zuheros, María Victoria Luzón, Francisco Herrera:
An Interpretable Client Decision Tree Aggregation process for Federated Learning. CoRR abs/2404.02510 (2024) - [i69]Iván Sevillano-García, Julián Luengo, Francisco Herrera:
SHIELD: A regularization technique for eXplainable Artificial Intelligence. CoRR abs/2404.02611 (2024) - [i68]Francisco Herrera, Daniel Jiménez-López, Alberto Argente-Garrido, Nuria Rodríguez Barroso, Cristina Zuheros, Ignacio Aguilera-Martos, Beatriz Bello, Mario García-Márquez, María Victoria Luzón:
FLEX: FLEXible Federated Learning Framework. CoRR abs/2404.06127 (2024) - [i67]José Daniel Pascual-Triana, Alberto Fernández, Javier Del Ser, Francisco Herrera:
Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence. CoRR abs/2405.12326 (2024) - [i66]David Herrera-Poyatos, Andrés Herrera-Poyatos, Rosana Montes, Paloma de Palacios, Luis G. Esteban, Alberto García-Iruela, Francisco G. Fernández, Francisco Herrera:
Deep Learning methodology for the identification of wood species using high-resolution macroscopic images. CoRR abs/2406.11772 (2024) - [i65]Javier Poyatos, Javier Del Ser, Salvador García, Hisao Ishibuchi, Daniel Molina, Isaac Triguero, Bing Xue, Xin Yao, Francisco Herrera:
Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects. CoRR abs/2407.08745 (2024) - [i64]José Daniel Pascual-Triana, Alberto Fernández, Paulo Novais, Francisco Herrera:
Fair Overlap Number of Balls (Fair-ONB): A Data-Morphology-based Undersampling Method for Bias Reduction. CoRR abs/2407.14210 (2024) - [i63]David Herrera-Poyatos, Jacinto Domínguez-Rull, Rosana Montes, Inés Hernández, Ignacio Barrio, Carlos Poblete-Echeverría, Javier Tardáguila, Francisco Herrera, Andrés Herrera-Poyatos:
Small data deep learning methodology for in-field disease detection. CoRR abs/2409.17119 (2024) - [i62]Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
A Tutorial on the Design, Experimentation and Application of Metaheuristic Algorithms to Real-World Optimization Problems. CoRR abs/2410.03205 (2024) - [i61]Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Julián Luengo, Francisco Herrera:
Local Attention Mechanism: Boosting the Transformer Architecture for Long-Sequence Time Series Forecasting. CoRR abs/2410.03805 (2024) - [i60]Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera:
RAB2-DEF: Dynamic and explainable defense against adversarial attacks in Federated Learning to fair poor clients. CoRR abs/2410.08244 (2024) - 2023
- [j573]Rosana Montes, Cristina Zuheros, Jeovani Morales, Noe Zermeño, Jeronimo Duran, Francisco Herrera:
Design and consensus content validity of the questionnaire for b-learning education: A 2-Tuple Fuzzy Linguistic Delphi based Decision Support Tool. Appl. Soft Comput. 147: 110755 (2023) - [j572]Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera:
Multiobjective evolutionary pruning of Deep Neural Networks with Transfer Learning for improving their performance and robustness. Appl. Soft Comput. 147: 110757 (2023) - [j571]Mengqi Li, Xia Liu, Yejun Xu, Francisco Herrera:
An improved multiplicative acceptability consistency-driven group decision making with triangular fuzzy reciprocal preference relations. Comput. Ind. Eng. 176: 108981 (2023) - [j570]Mengqi Li, Jing Huang, Xia Liu, Yejun Xu, Francisco Herrera:
Corrigendum to "An improved multiplicative acceptability consistency-driven group decision making with triangular fuzzy reciprocal preference relations" [Comput. Ind. Eng. 176 (2023) 108981]. Comput. Ind. Eng. 183: 109431 (2023) - [j569]Iván Sevillano-García, Julián Luengo, Francisco Herrera:
REVEL Framework to Measure Local Linear Explanations for Black-Box Models: Deep Learning Image Classification Case Study. Int. J. Intell. Syst. 2023: 1-34 (2023) - [j568]Ignacio Aguilera-Martos, Ángel Miguel García-Vico, Julián Luengo, Sergio Damas, Francisco J. Melero, José Javier Valle-Alonso, Francisco Herrera:
TSFEDL: A python library for time series spatio-temporal feature extraction and prediction using deep learning. Neurocomputing 517: 223-228 (2023) - [j567]Ignacio Aguilera-Martos, Marta García-Bárzana, Diego García-Gil, Jacinto Carrasco, David López, Julián Luengo, Francisco Herrera:
Multi-step histogram based outlier scores for unsupervised anomaly detection: ArcelorMittal engineering dataset case of study. Neurocomputing 544: 126228 (2023) - [j566]Nuria Rodríguez Barroso, Daniel Jiménez-López, María Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara:
Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges. Inf. Fusion 90: 148-173 (2023) - [j565]Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma, Iyad A. Katib, Francisco Herrera:
Explainable Crowd Decision Making methodology guided by expert natural language opinions based on Sentiment Analysis with Attention-based Deep Learning and Subgroup Discovery. Inf. Fusion 97: 101821 (2023) - [j564]Sajid Ali, Tamer Abuhmed, Shaker H. Ali El-Sappagh, Khan Muhammad, Jose Maria Alonso-Moral, Roberto Confalonieri, Riccardo Guidotti, Javier Del Ser, Natalia Díaz Rodríguez, Francisco Herrera:
Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. Inf. Fusion 99: 101805 (2023) - [j563]Iosu Rodríguez-Martínez, Tiago da Cruz Asmus, Graçaliz Pereira Dimuro, Francisco Herrera, Zdenko Takác, Humberto Bustince:
Generalizing max pooling via (a,b)-grouping functions for Convolutional Neural Networks. Inf. Fusion 99: 101893 (2023) - [j562]Natalia Díaz Rodríguez, Javier Del Ser, Mark Coeckelbergh, Marcos López de Prado, Enrique Herrera-Viedma, Francisco Herrera:
Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation. Inf. Fusion 99: 101896 (2023) - [j561]David López, Ignacio Aguilera-Martos, Marta García-Bárzana, Francisco Herrera, Diego García-Gil, Julián Luengo:
Fusing anomaly detection with false positive mitigation methodology for predictive maintenance under multivariate time series. Inf. Fusion 100: 101957 (2023) - [j560]Javier Poyatos, Daniel Molina, Aritz D. Martinez, Javier Del Ser, Francisco Herrera:
EvoPruneDeepTL: An evolutionary pruning model for transfer learning based deep neural networks. Neural Networks 158: 59-82 (2023) - [j559]Zhaogang Ding, Xia Chen, Yucheng Dong, Shui Yu, Francisco Herrera:
Consensus Convergence Speed in Social Network DeGroot Model: The Effects of the Agents With High Self-Confidence Levels. IEEE Trans. Comput. Soc. Syst. 10(5): 2882-2892 (2023) - [j558]Mengqi Li, Yejun Xu, Xia Liu, Francisco Chiclana, Francisco Herrera:
A Trust Risk Dynamic Management Mechanism Based on Third-Party Monitoring for the Conflict-Eliminating Process of Social Network Group Decision Making. IEEE Trans. Cybern. 53(6): 3399-3413 (2023) - [j557]Alejandro Rosales-Pérez, Salvador García, Francisco Herrera:
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization. IEEE Trans. Cybern. 53(8): 4735-4747 (2023) - [j556]Jiang Deng, Jianming Zhan, Enrique Herrera-Viedma, Francisco Herrera:
Regret Theory-Based Three-Way Decision Method on Incomplete Multiscale Decision Information Systems With Interval Fuzzy Numbers. IEEE Trans. Fuzzy Syst. 31(3): 982-996 (2023) - [j555]Zhibin Wu, Qinyue Zhou, Yucheng Dong, Jiuping Xu, Abdulrahman H. Altalhi, Francisco Herrera:
Mixed Opinion Dynamics Based on DeGroot Model and Hegselmann-Krause Model in Social Networks. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 296-308 (2023) - [j554]Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma, Francisco Herrera:
Crowd Decision Making: Sparse Representation Guided by Sentiment Analysis for Leveraging the Wisdom of the Crowd. IEEE Trans. Syst. Man Cybern. Syst. 53(1): 369-379 (2023) - [c229]Francisco Herrera:
Toward Responsible Artificial Intelligence Systems: Safety and Trustworthiness. ECBS 2023: 7-11 - [c228]Ignacio Aguilera-Martos, Julián Luengo, Francisco Herrera:
Revisiting Histogram Based Outlier Scores: Strengths and Weaknesses. HAIS 2023: 39-48 - [c227]Iván Sevillano-García, Julián Luengo, Francisco Herrera:
Optimizing LIME Explanations Using REVEL Metrics. HAIS 2023: 304-313 - [c226]Iván Sevillano-García, Julián Luengo, Francisco Herrera:
Low-Impact Feature Reduction Regularization Term: How to Improve Artificial Intelligence with Explainability. xAI (Late-breaking Work, Demos, Doctoral Consortium) 2023: 135-139 - [i59]Javier Poyatos, Daniel Molina, Aitor Martínez-Seras, Javier Del Ser, Francisco Herrera:
Multiobjective Evolutionary Pruning of Deep Neural Networks with Transfer Learning for improving their Performance and Robustness. CoRR abs/2302.10253 (2023) - [i58]Natalia Díaz Rodríguez, Javier Del Ser, Mark Coeckelbergh, Marcos López de Prado, Enrique Herrera-Viedma, Francisco Herrera:
Connecting the Dots in Trustworthy Artificial Intelligence: From AI Principles, Ethics, and Key Requirements to Responsible AI Systems and Regulation. CoRR abs/2305.02231 (2023) - [i57]Isaac Triguero, Daniel Molina, Javier Poyatos, Javier Del Ser, Francisco Herrera:
General Purpose Artificial Intelligence Systems (GPAIS): Properties, Definition, Taxonomy, Open Challenges and Implications. CoRR abs/2307.14283 (2023) - [i56]Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lécué, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf:
Explainable Artificial Intelligence (XAI) 2.0: A Manifesto of Open Challenges and Interdisciplinary Research Directions. CoRR abs/2310.19775 (2023) - [i55]Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera:
Can we infer the presence of Differential Privacy in Deep Learning models' weights? Towards more secure Deep Learning. CoRR abs/2311.11717 (2023) - 2022
- [j553]Xiu Liu, Ning Wang, Daniel Molina, Francisco Herrera:
A least square support vector machine approach based on bvRNA-GA for modeling photovoltaic systems. Appl. Soft Comput. 117: 108357 (2022) - [j552]Tong Wu, Cristina Zuheros, Xinwang Liu, Francisco Herrera:
Managing minority opinions in large-scale group decision making based on community detection and group polarization. Comput. Ind. Eng. 170: 108337 (2022) - [j551]Mohammed Ibrahim Al-Twijri, José María Luna, Francisco Herrera, Sebastián Ventura:
Course Recommendation based on Sequences: An Evolutionary Search of Emerging Sequential Patterns. Cogn. Comput. 14(4): 1474-1495 (2022) - [j550]Víctor Adrián Sosa-Hernández, Raúl Monroy, Miguel Angel Medina-Pérez, Octavio Loyola-González, Francisco Herrera:
A Practical Tutorial for Decision Tree Induction: Evaluation Measures for Candidate Splits and Opportunities. ACM Comput. Surv. 54(1): 18:1-18:38 (2022) - [j549]Juan Fernández Salas, Manuel Chiachío, Juan Chiachío, Rafael Muñoz, Francisco Herrera:
Uncertainty quantification in Neural Networks by Approximate Bayesian Computation: Application to fatigue in composite materials. Eng. Appl. Artif. Intell. 107: 104511 (2022) - [j548]Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera:
Dynamic defense against byzantine poisoning attacks in federated learning. Future Gener. Comput. Syst. 133: 1-9 (2022) - [j547]Alberto Lamas, Siham Tabik, Antonio Cano Montes, Francisco Pérez-Hernández, Jorge García-Torres Fernández, Roberto Olmos, Francisco Herrera:
Human pose estimation for mitigating false negatives in weapon detection in video-surveillance. Neurocomputing 489: 488-503 (2022) - [j546]Xia Liu, Yejun Xu, Zaiwu Gong, Francisco Herrera:
Democratic consensus reaching process for multi-person multi-criteria large scale decision making considering participants' individual attributes and concerns. Inf. Fusion 77: 220-232 (2022) - [j545]Julián Luengo, Raúl Moreno, Iván Sevillano-García, David Charte, Adrián Peláez-Vegas, Marta Fernández-Moreno, Pablo Mesejo, Francisco Herrera:
A tutorial on the segmentation of metallographic images: Taxonomy, new MetalDAM dataset, deep learning-based ensemble model, experimental analysis and challenges. Inf. Fusion 78: 232-253 (2022) - [j544]Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera:
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: The MonuMAI cultural heritage use case. Inf. Fusion 79: 58-83 (2022) - [j543]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data harmonisation for information fusion in digital healthcare: A state-of-the-art systematic review, meta-analysis and future research directions. Inf. Fusion 82: 99-122 (2022) - [j542]Rubén R. Fernández, Isaac Martín de Diego, Javier M. Moguerza, Francisco Herrera:
Explanation sets: A general framework for machine learning explainability. Inf. Sci. 617: 464-481 (2022) - [j541]Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera:
Backdoor attacks-resilient aggregation based on Robust Filtering of Outliers in federated learning for image classification. Knowl. Based Syst. 245: 108588 (2022) - [j540]Alaiñe Iturria, Jokin Labaien, Santi Charramendieta, Aizea Lojo, Javier Del Ser, Francisco Herrera:
A framework for adapting online prediction algorithms to outlier detection over time series. Knowl. Based Syst. 256: 109823 (2022) - [j539]Iosu Rodríguez-Martínez, Julio Lafuente, Regivan H. N. Santiago, Graçaliz Pereira Dimuro, Francisco Herrera, Humberto Bustince:
Replacing pooling functions in Convolutional Neural Networks by linear combinations of increasing functions. Neural Networks 152: 380-393 (2022) - [j538]David Charte, Francisco Charte, Francisco Herrera:
Reducing Data Complexity Using Autoencoders With Class-Informed Loss Functions. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9549-9560 (2022) - [j537]Sebastián Maldonado, Carla Vairetti, Alberto Fernández, Francisco Herrera:
FW-SMOTE: A feature-weighted oversampling approach for imbalanced classification. Pattern Recognit. 124: 108511 (2022) - [j536]Aritz D. Martinez, Javier Del Ser, Eneko Osaba, Francisco Herrera:
Adaptive Multifactorial Evolutionary Optimization for Multitask Reinforcement Learning. IEEE Trans. Evol. Comput. 26(2): 233-247 (2022) - [j535]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
Trust-Consensus Multiplex Networks by Combining Trust Social Network Analysis and Consensus Evolution Methods in Group Decision-Making. IEEE Trans. Fuzzy Syst. 30(11): 4741-4753 (2022) - [j534]Cong-Cong Li, Yucheng Dong, Witold Pedrycz, Francisco Herrera:
Integrating Continual Personalized Individual Semantics Learning in Consensus Reaching in Linguistic Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 52(3): 1525-1536 (2022) - [j533]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
A New Clustering Algorithm With Preference Adjustment Cost to Reduce the Cooperation Complexity in Large-Scale Group Decision Making. IEEE Trans. Syst. Man Cybern. Syst. 52(8): 5271-5283 (2022) - [c225]Juan-Luis Suárez, Germán González-Almagro, Salvador García, Francisco Herrera:
A Preliminary Approach for using Metric Learning in Monotonic Classification. IEA/AIE 2022: 773-784 - [i54]Yang Nan, Javier Del Ser, Simon Walsh, Carola Schönlieb, Michael Roberts, Ian Selby, Kit Howard, John Owen, Jon Neville, Julien Guiot, Benoit Ernst, Ana Pastor, Angel Alberich-Bayarri, Marion I. Menzel, Sean Walsh, Wim Vos, Nina Flerin, Jean-Paul Charbonnier, Eva M. van Rikxoort, Avishek Chatterjee, Henry C. Woodruff, Philippe Lambin, Leonor Cerdá Alberich, Luis Martí-Bonmatí, Francisco Herrera, Guang Yang:
Data Harmonisation for Information Fusion in Digital Healthcare: A State-of-the-Art Systematic Review, Meta-Analysis and Future Research Directions. CoRR abs/2201.06505 (2022) - [i53]Nuria Rodríguez Barroso, Daniel Jiménez-López, María Victoria Luzón, Francisco Herrera, Eugenio Martínez-Cámara:
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges. CoRR abs/2201.08135 (2022) - [i52]Javier Poyatos, Daniel Molina, Aritz D. Martinez, Javier Del Ser, Francisco Herrera:
EvoPruneDeepTL: An Evolutionary Pruning Model for Transfer Learning based Deep Neural Networks. CoRR abs/2202.03844 (2022) - [i51]Alejandro Rosales-Pérez, Salvador García, Francisco Herrera:
Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization. CoRR abs/2204.10231 (2022) - [i50]Javier Del Ser, Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Francisco Herrera, Andreas Holzinger:
Exploring the Trade-off between Plausibility, Change Intensity and Adversarial Power in Counterfactual Explanations using Multi-objective Optimization. CoRR abs/2205.10232 (2022) - [i49]Ignacio Aguilera-Martos, Ángel Miguel García-Vico, Julián Luengo, Sergio Damas, Francisco J. Melero, José Javier Valle-Alonso, Francisco Herrera:
TSFEDL: A Python Library for Time Series Spatio-Temporal Feature Extraction and Prediction using Deep Learning (with Appendices on Detailed Network Architectures and Experimental Cases of Study). CoRR abs/2206.03179 (2022) - [i48]Yang Nan, Javier Del Ser, Zeyu Tang, Peng Tang, Xiaodan Xing, Yingying Fang, Francisco Herrera, Witold Pedrycz, Simon Walsh, Guang Yang:
Fuzzy Attention Neural Network to Tackle Discontinuity in Airway Segmentation. CoRR abs/2209.02048 (2022) - [i47]Iván Sevillano-García, Julián Luengo-Martín, Francisco Herrera:
REVEL Framework to measure Local Linear Explanations for black-box models: Deep Learning Image Classification case of study. CoRR abs/2211.06154 (2022) - 2021
- [j532]Ismay Pérez-Sánchez, Bárbara Cervantes, Miguel Angel Medina-Pérez, Raúl Monroy, Octavio Loyola-González, Salvador García, Francisco Herrera:
An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification. IEEE Access 9: 85488-85499 (2021) - [j531]Iván Palomares, Eugenio Martínez-Cámara, Rosana Montes, Pablo García-Moral, Manuel Chiachío, Juan Chiachío, Sergio Alonso, Francisco J. Melero, Daniel Molina, Bárbara Fernández, Cristina Moral, Rosario Marchena, Javier Pérez de Vargas, Francisco Herrera:
A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects. Appl. Intell. 51(9): 6497-6527 (2021) - [j530]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
An interval type-2 fuzzy Kano-prospect-TOPSIS based QFD model: Application to Chinese e-commerce service design. Appl. Soft Comput. 111: 107665 (2021) - [j529]Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera:
CURIE: a cellular automaton for concept drift detection. Data Min. Knowl. Discov. 35(6): 2655-2678 (2021) - [j528]Ernesto León-Castro, Luis F. Espinoza-Audelo, José M. Merigó, Enrique Herrera-Viedma, Francisco Herrera:
Measuring volatility based on ordered weighted average operators: The case of agricultural product prices. Fuzzy Sets Syst. 422: 161-176 (2021) - [j527]Alberto Lamas, Siham Tabik, Policarpo Cruz, Rosana Montes, Álvaro Martínez-Sevilla, Teresa Cruz, Francisco Herrera:
MonuMAI: Dataset, deep learning pipeline and citizen science based app for monumental heritage taxonomy and classification. Neurocomputing 420: 266-280 (2021) - [j526]Juan-Luis Suárez, Salvador García, Francisco Herrera:
A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges. Neurocomputing 425: 300-322 (2021) - [j525]Sergio González, Salvador García, Sheng-Tun Li, Robert Ivor John, Francisco Herrera:
Fuzzy k-nearest neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise. Neurocomputing 439: 106-121 (2021) - [j524]Jacinto Carrasco, David López, Ignacio Aguilera-Martos, Diego García-Gil, Irina Markova, Marta García-Bárzana, Manuel Arias-Rodil, Julián Luengo, Francisco Herrera:
Anomaly detection in predictive maintenance: A new evaluation framework for temporal unsupervised anomaly detection algorithms. Neurocomputing 462: 440-452 (2021) - [j523]J. A. Fdez-Sánchez, José Daniel Pascual-Triana, Alberto Fernández, Francisco Herrera:
Learning interpretable multi-class models by means of hierarchical decomposition: Threshold Control for Nested Dichotomies. Neurocomputing 463: 514-524 (2021) - [j522]Yuzhu Wu, Zhen Zhang, Gang Kou, Hengjie Zhang, Xiangrui Chao, Cong-Cong Li, Yucheng Dong, Francisco Herrera:
Distributed linguistic representations in decision making: Taxonomy, key elements and applications, and challenges in data science and explainable artificial intelligence. Inf. Fusion 65: 165-178 (2021) - [j521]Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera:
Lights and shadows in Evolutionary Deep Learning: Taxonomy, critical methodological analysis, cases of study, learned lessons, recommendations and challenges. Inf. Fusion 67: 161-194 (2021) - [j520]Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma, Francisco Herrera:
Sentiment Analysis based Multi-Person Multi-criteria Decision Making methodology using natural language processing and deep learning for smarter decision aid. Case study of restaurant choice using TripAdvisor reviews. Inf. Fusion 68: 22-36 (2021) - [j519]Amir Hussain, Erik Cambria, Soujanya Poria, Ahmad Y. A. Hawalah, Francisco Herrera:
Information fusion for affective computing and sentiment analysis. Inf. Fusion 71: 97-98 (2021) - [j518]Giancarlo Fortino, Rajkumar Buyya, Min Chen, Francisco Herrera:
Special Issue on Methods and Infrastructures for Data Mining at the Edge of Internet of Things. IEEE Internet Things J. 8(13): 10220-10221 (2021) - [j517]Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
LUNAR: Cellular automata for drifting data streams. Inf. Sci. 543: 467-487 (2021) - [j516]Mingwei Lin, Zheyu Chen, Zeshui Xu, Xunjie Gou, Francisco Herrera:
Score function based on concentration degree for probabilistic linguistic term sets: An application to TOPSIS and VIKOR. Inf. Sci. 551: 270-290 (2021) - [j515]David López, Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera:
BELIEF: A distance-based redundancy-proof feature selection method for Big Data. Inf. Sci. 558: 124-139 (2021) - [j514]Xiaoli Tian, Zeshui Xu, Jing Gu, Francisco Herrera:
A consensus process based on regret theory with probabilistic linguistic term sets and its application in venture capital. Inf. Sci. 562: 347-369 (2021) - [j513]Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Francisco Herrera:
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. Inf. Sci. 570: 577-598 (2021) - [j512]Xiangrui Chao, Gang Kou, Yi Peng, Enrique Herrera-Viedma, Francisco Herrera:
An efficient consensus reaching framework for large-scale social network group decision making and its application in urban resettlement. Inf. Sci. 575: 499-527 (2021) - [j511]Julián Luengo, Dánel Sánchez Tarragó, Ronaldo C. Prati, Francisco Herrera:
Multiple instance classification: Bag noise filtering for negative instance noise cleaning. Inf. Sci. 579: 388-400 (2021) - [j510]Ming Tang, Huchang Liao, Xiaomei Mi, Xuanhua Xu, Francisco Herrera:
Dynamic subgroup-quality-based consensus in managing consistency, nearness, and evenness quality indices for large-scale group decision making under hesitant environment. J. Oper. Res. Soc. 72(4): 865-878 (2021) - [j509]Xunjie Gou, Zeshui Xu, Huchang Liao, Francisco Herrera:
Probabilistic double hierarchy linguistic term set and its use in designing an improved VIKOR method: The application in smart healthcare. J. Oper. Res. Soc. 72(12): 2611-2630 (2021) - [j508]José Daniel Pascual-Triana, David Charte, Marta Andrés Arroyo, Alberto Fernández, Francisco Herrera:
Revisiting data complexity metrics based on morphology for overlap and imbalance: snapshot, new overlap number of balls metrics and singular problems prospect. Knowl. Inf. Syst. 63(7): 1961-1989 (2021) - [j507]Miguel López, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera:
ADOPS: Aspect Discovery OPinion Summarisation Methodology based on deep learning and subgroup discovery for generating explainable opinion summaries. Knowl. Based Syst. 231: 107455 (2021) - [j506]Juan-Luis Suárez, Salvador García, Francisco Herrera:
Ordinal regression with explainable distance metric learning based on ordered sequences. Mach. Learn. 110(10): 2729-2762 (2021) - [j505]Néstor Rodríguez, David López, Alberto Fernández, Salvador García, Francisco Herrera:
SOUL: Scala Oversampling and Undersampling Library for imbalance classification. SoftwareX 15: 100767 (2021) - [j504]Francisco Pérez-Hernández, José Rodríguez-Ortega, Yassir Benhammou, Francisco Herrera, Siham Tabik:
CI-Dataset and DetDSCI Methodology for Detecting Too Small and Too Large Critical Infrastructures in Satellite Images: Airports and Electrical Substations as Case Study. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 14: 12149-12162 (2021) - [j503]Eneko Osaba, Esther Villar-Rodriguez, Javier Del Ser, Antonio J. Nebro, Daniel Molina, Antonio LaTorre, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
A Tutorial On the design, experimentation and application of metaheuristic algorithms to real-World optimization problems. Swarm Evol. Comput. 64: 100888 (2021) - [j502]Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Poyatos, Javier Del Ser, Francisco Herrera:
A prescription of methodological guidelines for comparing bio-inspired optimization algorithms. Swarm Evol. Comput. 67: 100973 (2021) - [j501]Xunjie Gou, Zeshui Xu, Huchang Liao, Francisco Herrera:
Consensus Model Handling Minority Opinions and Noncooperative Behaviors in Large-Scale Group Decision-Making Under Double Hierarchy Linguistic Preference Relations. IEEE Trans. Cybern. 51(1): 283-296 (2021) - [j500]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
Balance Dynamic Clustering Analysis and Consensus Reaching Process With Consensus Evolution Networks in Large-Scale Group Decision Making. IEEE Trans. Fuzzy Syst. 29(2): 357-371 (2021) - [j499]Yucheng Dong, Min Zhan, Zhaogang Ding, Haiming Liang, Francisco Herrera:
Numerical Interval Opinion Dynamics in Social Networks: Stable State and Consensus. IEEE Trans. Fuzzy Syst. 29(3): 584-598 (2021) - [j498]Haiming Liang, Cong-Cong Li, Yucheng Dong, Francisco Herrera:
Linguistic Opinions Dynamics Based on Personalized Individual Semantics. IEEE Trans. Fuzzy Syst. 29(9): 2453-2466 (2021) - [j497]Enrique Herrera-Viedma, Iván Palomares, Cong-Cong Li, Francisco Javier Cabrerizo, Yucheng Dong, Francisco Chiclana, Francisco Herrera:
Revisiting Fuzzy and Linguistic Decision Making: Scenarios and Challenges for Making Wiser Decisions in a Better Way. IEEE Trans. Syst. Man Cybern. Syst. 51(1): 191-208 (2021) - [j496]Yucheng Dong, Quanbo Zha, Hengjie Zhang, Francisco Herrera:
Consensus Reaching and Strategic Manipulation in Group Decision Making With Trust Relationships. IEEE Trans. Syst. Man Cybern. Syst. 51(10): 6304-6318 (2021) - [c224]Juan-Luis Suárez, Salvador García, Francisco Herrera:
Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences: Extended Abstract. DSAA 2021: 1-2 - [c223]David Charte, Iván Sevillano-García, María Jesús Lucena-González, José Luis Martín-Rodríguez, Francisco Charte, Francisco Herrera:
Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study. HAIS 2021: 305-315 - [c222]Juan-Luis Suárez, Salvador García, Francisco Herrera:
Distance Metric Learning with Prototype Selection for Imbalanced Classification. HAIS 2021: 391-402 - [c221]Ángel Miguel García-Vico, Francisco Herrera:
A Preliminary Analysis on Software Frameworks for the Development of Spiking Neural Networks. HAIS 2021: 564-575 - [c220]Lukas Johannes Dust, Marina López Murcia, Andreas Mäkilä, Petter Nordin, Ning Xiong, Francisco Herrera:
Federated Fuzzy Learning with Imbalanced Data. ICMLA 2021: 1130-1137 - [c219]Javier Del Ser, Eneko Osaba, Aritz D. Martinez, Miren Nekane Bilbao, Javier Poyatos, Daniel Molina, Francisco Herrera:
More is not Always Better: Insights from a Massive Comparison of Meta-heuristic Algorithms over Real-Parameter Optimization Problems. SSCI 2021: 1-7 - [e10]Paulo Novais, Gianni Viardo Vercelli, Josep Lluís Larriba-Pey, Francisco Herrera, Pablo Chamoso:
Ambient Intelligence - Software and Applications - 11th International Symposium on Ambient Intelligence, ISAmI 2020, L'Aquila, Italy, October 7 - 9, 2020. Advances in Intelligent Systems and Computing 1239, Springer 2021, ISBN 978-3-030-58355-2 [contents] - [i46]Roberto Olmos, Siham Tabik, Francisco Pérez-Hernández, Alberto Lamas, Francisco Herrera:
MULTICAST: MULTI Confirmation-level Alarm SysTem based on CNN and LSTM to mitigate false alarms for handgun detection in video-surveillance. CoRR abs/2104.11653 (2021) - [i45]Natalia Díaz Rodríguez, Alberto Lamas, Jules Sanchez, Gianni Franchi, Ivan Donadello, Siham Tabik, David Filliat, Policarpo Cruz, Rosana Montes, Francisco Herrera:
EXplainable Neural-Symbolic Learning (X-NeSyL) methodology to fuse deep learning representations with expert knowledge graphs: the MonuMAI cultural heritage use case. CoRR abs/2104.11914 (2021) - [i44]Francisco Pérez-Hernández, José Rodríguez-Ortega, Yassir Benhammou, Francisco Herrera, Siham Tabik:
Small and large scale critical infrastructures detection based on deep learning using high resolution orthogonal images. CoRR abs/2105.11844 (2021) - [i43]Jacinto Carrasco, Irina Markova, David López, Ignacio Aguilera, Diego García, Marta García-Bárzana, Manuel Arias-Rodil, Julián Luengo, Francisco Herrera:
Anomaly Detection in Predictive Maintenance: A New Evaluation Framework for Temporal Unsupervised Anomaly Detection Algorithms. CoRR abs/2105.12818 (2021) - [i42]Anabel Gómez-Ríos, Julián Luengo, Francisco Herrera:
A robust approach for deep neural networks in presence of label noise: relabelling and filtering instances during training. CoRR abs/2109.03748 (2021) - [i41]David Charte, Francisco Charte, Francisco Herrera:
Reducing Data Complexity using Autoencoders with Class-informed Loss Functions. CoRR abs/2111.06142 (2021) - 2020
- [b7]Julián Luengo, Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
Big Data Preprocessing - Enabling Smart Data. Springer 2020, ISBN 978-3-030-39104-1, pp. 1-186 - [j495]Jesús Maillo, Isaac Triguero, Francisco Herrera:
Redundancy and Complexity Metrics for Big Data Classification: Towards Smart Data. IEEE Access 8: 87918-87928 (2020) - [j494]Andres Jesus Sanchez, Luis F. Romero, Daniel Peralta, Miguel Angel Medina-Pérez, Yvan Saeys, Francisco Herrera, Siham Tabik:
Asynchronous Processing for Latent Fingerprint Identification on Heterogeneous CPU-GPU Systems. IEEE Access 8: 124236-124253 (2020) - [j493]Huchang Liao, Ming Tang, Rui Qin, Xiaomei Mi, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera:
Overview of Hesitant Linguistic Preference Relations for Representing Cognitive Complex Information: Where We Stand and What Is Next. Cogn. Comput. 12(1): 25-48 (2020) - [j492]Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera:
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations. Cogn. Comput. 12(5): 897-939 (2020) - [j491]Sahar Tahvili, Leo Hatvani, Enislay Ramentol, Rita Pimentel, Wasif Afzal, Francisco Herrera:
A novel methodology to classify test cases using natural language processing and imbalanced learning. Eng. Appl. Artif. Intell. 95: 103878 (2020) - [j490]Carla Vairetti, Eugenio Martínez-Cámara, Sebastián Maldonado, María Victoria Luzón, Francisco Herrera:
Enhancing the classification of social media opinions by optimizing the structural information. Future Gener. Comput. Syst. 102: 838-846 (2020) - [j489]Jesús Giráldez-Cru, Manuel Chica, Oscar Cordón, Francisco Herrera:
Modeling agent-based consumers decision-making with 2-tuple fuzzy linguistic perceptions. Int. J. Intell. Syst. 35(2): 283-299 (2020) - [j488]Tong Wu, Xinwang Liu, Zaiwu Gong, Huanhuan Zhang, Francisco Herrera:
The minimum cost consensus model considering the implicit trust of opinions similarities in social network group decision-making. Int. J. Intell. Syst. 35(3): 470-493 (2020) - [j487]Alaiñe Iturria, Jacinto Carrasco, Santi Charramendieta, Angel Conde, Francisco Herrera:
otsad: A package for online time-series anomaly detectors. Neurocomputing 374: 49-53 (2020) - [j486]Yassir Benhammou, Boujemâa Achchab, Francisco Herrera, Siham Tabik:
BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights. Neurocomputing 375: 9-24 (2020) - [j485]Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik, Luigi Troiano, Roberto Tagliaferri, Francisco Herrera:
Deep learning in video multi-object tracking: A survey. Neurocomputing 381: 61-88 (2020) - [j484]Francisco Herrera, Ajith Abraham, Michal Wozniak, Hilde Pérez, Emilio Corchado:
Special Issue SOCO 2017: New trends in soft computing and its application in industrial and environmental problems. Neurocomputing 391: 280-281 (2020) - [j483]David Charte, Francisco Charte, María José del Jesus, Francisco Herrera:
An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges. Neurocomputing 404: 93-107 (2020) - [j482]Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera:
Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI. Inf. Fusion 58: 82-115 (2020) - [j481]Ru-Xi Ding, Iván Palomares, Xueqing Wang, Guo-Rui Yang, Bingsheng Liu, Yucheng Dong, Enrique Herrera-Viedma, Francisco Herrera:
Large-Scale decision-making: Characterization, taxonomy, challenges and future directions from an Artificial Intelligence and applications perspective. Inf. Fusion 59: 84-102 (2020) - [j480]Hengjie Zhang, Sihai Zhao, Gang Kou, Cong-Cong Li, Yucheng Dong, Francisco Herrera:
An overview on feedback mechanisms with minimum adjustment or cost in consensus reaching in group decision making: Research paradigms and challenges. Inf. Fusion 60: 65-79 (2020) - [j479]Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera:
MNIST-NET10: A heterogeneous deep networks fusion based on the degree of certainty to reach 0.1% error rate. Ensembles overview and proposal. Inf. Fusion 62: 73-80 (2020) - [j478]Sergio González, Salvador García, Javier Del Ser, Lior Rokach, Francisco Herrera:
A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities. Inf. Fusion 64: 205-237 (2020) - [j477]Nuria Rodríguez Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, María Victoria Luzón, Miguel Angel Veganzones, Francisco Herrera:
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. Inf. Fusion 64: 270-292 (2020) - [j476]Francisco Luque Sánchez, Isabelle Hupont, Siham Tabik, Francisco Herrera:
Revisiting crowd behaviour analysis through deep learning: Taxonomy, anomaly detection, crowd emotions, datasets, opportunities and prospects. Inf. Fusion 64: 318-335 (2020) - [j475]Huchang Liao, Xunjie Gou, Zeshui Xu, Xiao-Jun Zeng, Francisco Herrera:
Hesitancy degree-based correlation measures for hesitant fuzzy linguistic term sets and their applications in multiple criteria decision making. Inf. Sci. 508: 275-292 (2020) - [j474]Juan Antonio Cortés-Ibáñez, Sergio González, José Javier Valle-Alonso, Julián Luengo, Salvador García, Francisco Herrera:
Preprocessing methodology for time series: An industrial world application case study. Inf. Sci. 514: 385-401 (2020) - [j473]Qinyue Zhou, Zhibin Wu, Abdulrahman H. Altalhi, Francisco Herrera:
A two-step communication opinion dynamics model with self-persistence and influence index for social networks based on the DeGroot model. Inf. Sci. 519: 363-381 (2020) - [j472]Marcelino Lázaro, Francisco Herrera, Aníbal R. Figueiras-Vidal:
Ensembles of cost-diverse Bayesian neural learners for imbalanced binary classification. Inf. Sci. 520: 31-45 (2020) - [j471]Yao Li, Xia Chen, Yucheng Dong, Francisco Herrera:
Linguistic group decision making: Axiomatic distance and minimum cost consensus. Inf. Sci. 541: 242-258 (2020) - [j470]Ana Valdivia, Eugenio Martínez-Cámara, Iti Chaturvedi, María Victoria Luzón, Erik Cambria, Yew-Soon Ong, Francisco Herrera:
What do people think about this monument? Understanding negative reviews via deep learning, clustering and descriptive rules. J. Ambient Intell. Humaniz. Comput. 11(1): 39-52 (2020) - [j469]Delia Irazú Hernández Farías, Ronaldo C. Prati, Francisco Herrera, Paolo Rosso:
Irony detection in Twitter with imbalanced class distributions. J. Intell. Fuzzy Syst. 39(2): 2147-2163 (2020) - [j468]Juan-Luis Suárez, Salvador García, Francisco Herrera:
pyDML: A Python Library for Distance Metric Learning. J. Mach. Learn. Res. 21: 96:1-96:7 (2020) - [j467]Saeed-Ul Hassan, Naif R. Aljohani, Nimra Idrees, Raheem Sarwar, Raheel Nawaz, Eugenio Martínez-Cámara, Sebastián Ventura, Francisco Herrera:
Predicting literature's early impact with sentiment analysis in Twitter. Knowl. Based Syst. 192: 105383 (2020) - [j466]Francisco Pérez-Hernández, Siham Tabik, Alberto Castillo Lamas, Roberto Olmos, Hamido Fujita, Francisco Herrera:
Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance. Knowl. Based Syst. 194: 105590 (2020) - [j465]David Muñoz, Camilo Narváez, Carlos Cobos, Martha Mendoza, Francisco Herrera:
Incremental learning model inspired in Rehearsal for deep convolutional networks. Knowl. Based Syst. 208: 106460 (2020) - [j464]Emilio Guirado, Domingo Alcaraz-Segura, Javier Cabello, Sergio Puertas-Ruíz, Francisco Herrera, Siham Tabik:
Tree Cover Estimation in Global Drylands from Space Using Deep Learning. Remote. Sens. 12(3): 343 (2020) - [j463]Saeed-Ul Hassan, Naif R. Aljohani, Mudassir Shabbir, Umair Ali, Sehrish Iqbal, Raheem Sarwar, Eugenio Martínez-Cámara, Sebastián Ventura, Francisco Herrera:
Tweet Coupling: a social media methodology for clustering scientific publications. Scientometrics 124(2): 973-991 (2020) - [j462]Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam Das, Francisco Herrera:
Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review. Swarm Evol. Comput. 54: 100665 (2020) - [j461]Arian Hafezalkotob, Ashkan Hafezalkotob, Huchang Liao, Francisco Herrera:
Interval MULTIMOORA Method Integrating Interval Borda Rule and Interval Best-Worst-Method-Based Weighting Model: Case Study on Hybrid Vehicle Engine Selection. IEEE Trans. Cybern. 50(3): 1157-1169 (2020) - [j460]Jesús Maillo, Salvador García, Julián Luengo, Francisco Herrera, Isaac Triguero:
Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data. IEEE Trans. Fuzzy Syst. 28(5): 874-886 (2020) - [j459]Fei-Yue Wang, Witold Pedrycz, Francisco Herrera, Shun-Feng Su:
Editorial: Fuzzy Logic and Artificial Intelligence: A Special Issue on Emerging Techniques and Their Applications. IEEE Trans. Fuzzy Syst. 28(12): 3063-3064 (2020) - [j458]Siham Tabik, Anabel Gómez-Ríos, J. L. Martín-Rodríguez, I. Sevillano-García, Manuel Rey-Area, David Charte, Emilio Guirado, Juan-Luis Suárez, Julián Luengo, M. A. Valero-González, P. García-Villanova, Eulalia Olmedo-Sánchez, Francisco Herrera:
COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images. IEEE J. Biomed. Health Informatics 24(12): 3595-3605 (2020) - [c218]Aritz D. Martinez, Eneko Osaba, Javier Del Ser, Francisco Herrera:
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial optimization. CEC 2020: 1-8 - [c217]Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis. CEC 2020: 1-8 - [c216]Jesús Giráldez-Cru, Manuel Chica, Oscar Cordón, Francisco Herrera:
2-tuple fuzzy linguistic perceptions and probabilistic awareness-based heuristics for modeling consumer purchase behaviors. FUZZ-IEEE 2020: 1-8 - [c215]José Ramón Trillo, Alberto Fernández, Francisco Herrera:
HFER: Promoting Explainability in Fuzzy Systems via Hierarchical Fuzzy Exception Rules. FUZZ-IEEE 2020: 1-8 - [e9]Francisco Herrera, Kenji Matsui, Sara Rodríguez-González:
Distributed Computing and Artificial Intelligence, 16th International Conference, DCAI 2019, Avila, Spain, 26-28 June, 2019. Advances in Intelligent Systems and Computing 1003, Springer 2020, ISBN 978-3-030-23886-5 [contents] - [i40]Diego García-Gil, Johan Holmberg, Salvador García, Ning Xiong, Francisco Herrera:
Smart Data based Ensemble for Imbalanced Big Data Classification. CoRR abs/2001.05759 (2020) - [i39]Siham Tabik, Ricardo F. Alvear-Sandoval, María M. Ruiz, José-Luis Sancho-Gómez, Aníbal R. Figueiras-Vidal, Francisco Herrera:
A tutorial on ensembles and deep learning fusion with MNIST as guiding thread: A complex heterogeneous fusion scheme reaching 10 digits error. CoRR abs/2001.11486 (2020) - [i38]Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
LUNAR: Cellular Automata for Drifting Data Streams. CoRR abs/2002.02164 (2020) - [i37]Daniel Molina, Javier Poyatos, Javier Del Ser, Salvador García, Amir Hussain, Francisco Herrera:
Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration versus Algorithmic Behavior, Critical Analysis and Recommendations. CoRR abs/2002.08136 (2020) - [i36]Jacinto Carrasco, Salvador García, María del Mar Rueda, Swagatam Das, Francisco Herrera:
Recent Trends in the Use of Statistical Tests for Comparing Swarm and Evolutionary Computing Algorithms: Practical Guidelines and a Critical Review. CoRR abs/2002.09227 (2020) - [i35]Aritz D. Martinez, Eneko Osaba, Javier Del Ser, Francisco Herrera:
Simultaneously Evolving Deep Reinforcement Learning Models using Multifactorial Optimization. CoRR abs/2002.12133 (2020) - [i34]Sergio González, Salvador García, Sheng-Tun Li, Robert I. John, Francisco Herrera:
Fuzzy k-Nearest Neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise. CoRR abs/2003.02601 (2020) - [i33]Eneko Osaba, Aritz D. Martinez, Jesus L. Lobo, Javier Del Ser, Francisco Herrera:
Multifactorial Cellular Genetic Algorithm (MFCGA): Algorithmic Design, Performance Comparison and Genetic Transferability Analysis. CoRR abs/2003.10768 (2020) - [i32]Antonio LaTorre, Daniel Molina, Eneko Osaba, Javier Del Ser, Francisco Herrera:
Fairness in Bio-inspired Optimization Research: A Prescription of Methodological Guidelines for Comparing Meta-heuristics. CoRR abs/2004.09969 (2020) - [i31]David Charte, Francisco Charte, María José del Jesus, Francisco Herrera:
A Showcase of the Use of Autoencoders in Feature Learning Applications. CoRR abs/2005.04321 (2020) - [i30]David Charte, Francisco Charte, María José del Jesus, Francisco Herrera:
An analysis on the use of autoencoders for representation learning: fundamentals, learning task case studies, explainability and challenges. CoRR abs/2005.10516 (2020) - [i29]Siham Tabik, Anabel Gómez-Ríos, J. L. Martín-Rodríguez, I. Sevillano-García, Manuel Rey-Area, David Charte, Emilio Guirado, Juan-Luis Suárez, Julián Luengo, M. A. Valero-González, P. García-Villanova, Eulalia Olmedo-Sánchez, Francisco Herrera:
COVIDGR dataset and COVID-SDNet methodology for predicting COVID-19 based on Chest X-Ray images. CoRR abs/2006.01409 (2020) - [i28]Nuria Rodríguez Barroso, Goran Stipcich, Daniel Jiménez-López, José Antonio Ruiz-Millán, Eugenio Martínez-Cámara, Gerardo González-Seco, María Victoria Luzón, Miguel Ángel Veganzones, Francisco Herrera:
Federated Learning and Differential Privacy: Software tools analysis, the Sherpa.ai FL framework and methodological guidelines for preserving data privacy. CoRR abs/2007.00914 (2020) - [i27]José Daniel Pascual-Triana, David Charte, Marta Andrés Arroyo, Alberto Fernández, Francisco Herrera:
Revisiting Data Complexity Metrics Based on Morphology for Overlap and Imbalance: Snapshot, New Overlap Number of Balls Metrics and Singular Problems Prospect. CoRR abs/2007.07935 (2020) - [i26]Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, María Victoria Luzón, Gerardo González-Seco, Miguel Ángel Veganzones, Francisco Herrera:
Dynamic Federated Learning Model for Identifying Adversarial Clients. CoRR abs/2007.15030 (2020) - [i25]Cristina Zuheros, Eugenio Martínez-Cámara, Enrique Herrera-Viedma, Francisco Herrera:
Sentiment Analysis based Multi-person Multi-criteria Decision Making Methodology: Using Natural Language Processing and Deep Learning for Decision Aid. CoRR abs/2008.00032 (2020) - [i24]Yuzhu Wu, Zhen Zhang, Gang Kou, Hengjie Zhang, Xiangrui Chao, Cong-Cong Li, Yucheng Dong, Francisco Herrera:
Distributed Linguistic Representations in Decision Making: Taxonomy, Key Elements and Applications, and Challenges in Data Science and Explainable Artificial Intelligence. CoRR abs/2008.01499 (2020) - [i23]Aritz D. Martinez, Javier Del Ser, Esther Villar-Rodriguez, Eneko Osaba, Javier Poyatos, Siham Tabik, Daniel Molina, Francisco Herrera:
Lights and Shadows in Evolutionary Deep Learning: Taxonomy, Critical Methodological Analysis, Cases of Study, Learned Lessons, Recommendations and Challenges. CoRR abs/2008.03620 (2020) - [i22]Jesus L. Lobo, Javier Del Ser, Eneko Osaba, Albert Bifet, Francisco Herrera:
CURIE: A Cellular Automaton for Concept Drift Detection. CoRR abs/2009.09677 (2020) - [i21]Eneko Osaba, Javier Del Ser, Aritz D. Martinez, Jesus L. Lobo, Francisco Herrera:
AT-MFCGA: An Adaptive Transfer-guided Multifactorial Cellular Genetic Algorithm for Evolutionary Multitasking. CoRR abs/2010.03917 (2020)
2010 – 2019
- 2019
- [j457]Xiaomei Mi, Xingli Wu, Ming Tang, Huchang Liao, Abdullah Al-Barakati, Abdulrahman H. Altalhi, Francisco Herrera:
Hesitant Fuzzy Linguistic Analytic Hierarchical Process With Prioritization, Consistency Checking, and Inconsistency Repairing. IEEE Access 7: 44135-44149 (2019) - [j456]Danilo Valdes-Ramirez, Miguel Angel Medina-Pérez, Raúl Monroy, Octavio Loyola-González, Jorge Rodríguez-Ruiz, Aythami Morales, Francisco Herrera:
A Review of Fingerprint Feature Representations and Their Applications for Latent Fingerprint Identification: Trends and Evaluation. IEEE Access 7: 48484-48499 (2019) - [j455]Alberto Fernández, Francisco Herrera, Oscar Cordón, María José del Jesus, Francesco Marcelloni:
Evolutionary Fuzzy Systems for Explainable Artificial Intelligence: Why, When, What for, and Where to? IEEE Comput. Intell. Mag. 14(1): 69-81 (2019) - [j454]Alberto Fernández, Isaac Triguero, Mikel Galar, Francisco Herrera:
Guest Editorial: Computational Intelligence for Big Data Analytics. Cogn. Comput. 11(3): 329-330 (2019) - [j453]Jesus Para, Javier Del Ser, Antonio J. Nebro, Urko Zurutuza, Francisco Herrera:
Analyze, Sense, Preprocess, Predict, Implement, and Deploy (ASPPID): An incremental methodology based on data analytics for cost-efficiently monitoring the industry 4.0. Eng. Appl. Artif. Intell. 82: 30-43 (2019) - [j452]Bingsheng Liu, Qi Zhou, Ru-Xi Ding, Iván Palomares, Francisco Herrera:
Large-scale group decision making model based on social network analysis: Trust relationship-based conflict detection and elimination. Eur. J. Oper. Res. 275(2): 737-754 (2019) - [j451]Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, A. S. M. Shihavuddin, Bartosz Krawczyk, Francisco Herrera:
Towards highly accurate coral texture images classification using deep convolutional neural networks and data augmentation. Expert Syst. Appl. 118: 315-328 (2019) - [j450]Yejun Xu, Francisco Herrera:
Visualizing and rectifying different inconsistencies for fuzzy reciprocal preference relations. Fuzzy Sets Syst. 362: 85-109 (2019) - [j449]Miguel León Ortiz, Ning Xiong, Daniel Molina, Francisco Herrera:
A Novel Memetic Framework for Enhancing Differential Evolution Algorithms via Combination With Alopex Local Search. Int. J. Comput. Intell. Syst. 12(2): 795-808 (2019) - [j448]Xia Liu, Yejun Xu, Rosana Montes, Yucheng Dong, Francisco Herrera:
Analysis of self-confidence indices-based additive consistency for fuzzy preference relations with self-confidence and its application in group decision making. Int. J. Intell. Syst. 34(5): 920-946 (2019) - [j447]Saeed-Ul Hassan, Hajra Waheed, Naif R. Aljohani, Mohsen Ali, Sebastián Ventura, Francisco Herrera:
Virtual learning environment to predict withdrawal by leveraging deep learning. Int. J. Intell. Syst. 34(8): 1935-1952 (2019) - [j446]Diego García-Gil, Francisco Luque Sánchez, Julián Luengo, Salvador García, Francisco Herrera:
From Big to Smart Data: Iterative ensemble filter for noise filtering in Big Data classification. Int. J. Intell. Syst. 34(12): 3260-3274 (2019) - [j445]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
Dealing with difficult minority labels in imbalanced mutilabel data sets. Neurocomputing 326-327: 39-53 (2019) - [j444]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
REMEDIAL-HwR: Tackling multilabel imbalance through label decoupling and data resampling hybridization. Neurocomputing 326-327: 110-122 (2019) - [j443]Alberto Castillo, Siham Tabik, Francisco Pérez, Roberto Olmos, Francisco Herrera:
Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning. Neurocomputing 330: 151-161 (2019) - [j442]Ana Valdivia, Emiliya Hrabova, Iti Chaturvedi, María Victoria Luzón, Luigi Troiano, Erik Cambria, Francisco Herrera:
Inconsistencies on TripAdvisor reviews: A unified index between users and Sentiment Analysis Methods. Neurocomputing 353: 3-16 (2019) - [j441]Francisco Javier Martínez de Pisón Ascacíbar, Francisco Herrera, Ajith Abraham, Michal Wozniak, Emilio Corchado:
Special issue on hybrid artificial intelligence systems from the HAIS 2017 conference - Editorial. Neurocomputing 354: 1-2 (2019) - [j440]Ignacio Cordón, Julián Luengo, Salvador García, Francisco Herrera, Francisco Charte:
Smartdata: Data preprocessing to achieve smart data in R. Neurocomputing 360: 1-13 (2019) - [j439]Huchang Liao, Rui Qin, Chenyuan Gao, Xingli Wu, Arian Hafezalkotob, Francisco Herrera:
Score-HeDLiSF: A score function of hesitant fuzzy linguistic term set based on hesitant degrees and linguistic scale functions: An application to unbalanced hesitant fuzzy linguistic MULTIMOORA. Inf. Fusion 48: 39-54 (2019) - [j438]Roberto Olmos, Siham Tabik, Alberto Castillo Lamas, Francisco Pérez-Hernández, Francisco Herrera:
A binocular image fusion approach for minimizing false positives in handgun detection with deep learning. Inf. Fusion 49: 271-280 (2019) - [j437]Ru-Xi Ding, Xueqing Wang, Kun Shang, Francisco Herrera:
Social network analysis-based conflict relationship investigation and conflict degree-based consensus reaching process for large scale decision making using sparse representation. Inf. Fusion 50: 251-272 (2019) - [j436]Arian Hafezalkotob, Ashkan Hafezalkotob, Huchang Liao, Francisco Herrera:
An overview of MULTIMOORA for multi-criteria decision-making: Theory, developments, applications, and challenges. Inf. Fusion 51: 145-177 (2019) - [j435]Cong-Cong Li, Yucheng Dong, Yejun Xu, Francisco Chiclana, Enrique Herrera-Viedma, Francisco Herrera:
An overview on managing additive consistency of reciprocal preference relations for consistency-driven decision making and fusion: Taxonomy and future directions. Inf. Fusion 52: 143-156 (2019) - [j434]Xia Liu, Yejun Xu, Francisco Herrera:
Consensus model for large-scale group decision making based on fuzzy preference relation with self-confidence: Detecting and managing overconfidence behaviors. Inf. Fusion 52: 245-256 (2019) - [j433]Tong Wu, Xinwang Liu, Jindong Qin, Francisco Herrera:
Consensus evolution networks: A consensus reaching tool for managing consensus thresholds in group decision making. Inf. Fusion 52: 375-388 (2019) - [j432]Sergio González, Salvador García, Sheng-Tun Li, Francisco Herrera:
Chain based sampling for monotonic imbalanced classification. Inf. Sci. 474: 187-204 (2019) - [j431]Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera:
Enabling Smart Data: Noise filtering in Big Data classification. Inf. Sci. 479: 135-152 (2019) - [j430]Miguel López, Ana Valdivia, Eugenio Martínez-Cámara, María Victoria Luzón, Francisco Herrera:
E2SAM: Evolutionary ensemble of sentiment analysis methods for domain adaptation. Inf. Sci. 480: 273-286 (2019) - [j429]Zhaogang Ding, Xia Chen, Yucheng Dong, Francisco Herrera:
Consensus reaching in social network DeGroot Model: The roles of the Self-confidence and node degree. Inf. Sci. 486: 62-72 (2019) - [j428]Xunjie Gou, Huchang Liao, Zeshui Xu, Rui Min, Francisco Herrera:
Group decision making with double hierarchy hesitant fuzzy linguistic preference relations: Consistency based measures, index and repairing algorithms and decision model. Inf. Sci. 489: 93-112 (2019) - [j427]Xia Liu, Yejun Xu, Rosana Montes, Francisco Herrera:
Social network group decision making: Managing self-confidence-based consensus model with the dynamic importance degree of experts and trust-based feedback mechanism. Inf. Sci. 505: 215-232 (2019) - [j426]Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera:
Instance reduction for one-class classification. Knowl. Inf. Syst. 59(3): 601-628 (2019) - [j425]Ronaldo C. Prati, Julián Luengo, Francisco Herrera:
Emerging topics and challenges of learning from noisy data in nonstandard classification: a survey beyond binary class noise. Knowl. Inf. Syst. 60(1): 63-97 (2019) - [j424]Yejun Xu, Feng Ma, Francisco Herrera:
Revisiting inconsistent judgments for incomplete fuzzy linguistic preference relations: Algorithms to identify and rectify ordinal inconsistencies. Knowl. Based Syst. 163: 305-319 (2019) - [j423]Cristina Zuheros, Siham Tabik, Ana Valdivia, Eugenio Martínez-Cámara, Francisco Herrera:
Deep recurrent neural network for geographical entities disambiguation on social media data. Knowl. Based Syst. 173: 117-127 (2019) - [j422]David Charte, Francisco Herrera, Francisco Charte:
Ruta: Implementations of neural autoencoders in R. Knowl. Based Syst. 174: 4-8 (2019) - [j421]Ming Tang, Xiaoyang Zhou, Huchang Liao, Jiuping Xu, Hamido Fujita, Francisco Herrera:
Ordinal consensus measure with objective threshold for heterogeneous large-scale group decision making. Knowl. Based Syst. 180: 62-74 (2019) - [j420]Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, A. S. M. Shihavuddin, Francisco Herrera:
Coral species identification with texture or structure images using a two-level classifier based on Convolutional Neural Networks. Knowl. Based Syst. 184 (2019) - [j419]Bingsheng Liu, Qi Zhou, Ru-Xi Ding, Wei Ni, Francisco Herrera:
Defective alternatives detection-based multi-attribute intuitionistic fuzzy large-scale decision making model. Knowl. Based Syst. 186 (2019) - [j418]David Charte, Francisco Charte, Salvador García, Francisco Herrera:
A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations. Prog. Artif. Intell. 8(1): 1-14 (2019) - [j417]M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera:
OCAPIS: R package for Ordinal Classification and Preprocessing in Scala. Prog. Artif. Intell. 8(3): 287-292 (2019) - [j416]Anastasiia Safonova, Siham Tabik, Domingo Alcaraz-Segura, Alexey Rubtsov, Yuriy Maglinets, Francisco Herrera:
Detection of Fir Trees (Abies sibirica) Damaged by the Bark Beetle in Unmanned Aerial Vehicle Images with Deep Learning. Remote. Sens. 11(6): 643 (2019) - [j415]Salma Elhag, Alberto Fernández, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera:
A multi-objective evolutionary fuzzy system to obtain a broad and accurate set of solutions in intrusion detection systems. Soft Comput. 23(4): 1321-1336 (2019) - [j414]Javier Del Ser, Eneko Osaba, Daniel Molina, Xin-She Yang, Sancho Salcedo-Sanz, David Camacho, Swagatam Das, Ponnuthurai N. Suganthan, Carlos A. Coello Coello, Francisco Herrera:
Bio-inspired computation: Where we stand and what's next. Swarm Evol. Comput. 48: 220-250 (2019) - [j413]Xia Liu, Yejun Xu, Rosana Montes, Ru-Xi Ding, Francisco Herrera:
Alternative Ranking-Based Clustering and Reliability Index-Based Consensus Reaching Process for Hesitant Fuzzy Large Scale Group Decision Making. IEEE Trans. Fuzzy Syst. 27(1): 159-171 (2019) - [j412]Cong-Cong Li, Yucheng Dong, Francisco Herrera:
A Consensus Model for Large-Scale Linguistic Group Decision Making With a Feedback Recommendation Based on Clustered Personalized Individual Semantics and Opposing Consensus Groups. IEEE Trans. Fuzzy Syst. 27(2): 221-233 (2019) - [j411]Cong-Cong Li, Rosa M. Rodríguez, Luis Martínez-López, Yucheng Dong, Francisco Herrera:
Consensus Building With Individual Consistency Control in Group Decision Making. IEEE Trans. Fuzzy Syst. 27(2): 319-332 (2019) - [j410]Ru-Xi Ding, Xueqing Wang, Kun Shang, Bingsheng Liu, Francisco Herrera:
Sparse Representation-Based Intuitionistic Fuzzy Clustering Approach to Find the Group Intra-Relations and Group Leaders for Large-Scale Decision Making. IEEE Trans. Fuzzy Syst. 27(3): 559-573 (2019) - [j409]Javier Cózar, Alberto Fernández, Francisco Herrera, José A. Gámez:
A Metahierarchical Rule Decision System to Design Robust Fuzzy Classifiers Based on Data Complexity. IEEE Trans. Fuzzy Syst. 27(4): 701-715 (2019) - [j408]Lei-Lei Chang, Zhi-Jie Zhou, Huchang Liao, Yu-Wang Chen, Xu Tan, Francisco Herrera:
Generic Disjunctive Belief-Rule-Base Modeling, Inferencing, and Optimization. IEEE Trans. Fuzzy Syst. 27(9): 1866-1880 (2019) - [j407]Isaac Triguero, Diego García-Gil, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera:
Transforming big data into smart data: An insight on the use of the k-nearest neighbors algorithm to obtain quality data. WIREs Data Mining Knowl. Discov. 9(2) (2019) - [c214]Daniel Molina, Francisco Herrera:
Applying Memetic algorithm with Improved L-SHADE and Local Search Pool for the 100-digit challenge on Single Objective Numerical Optimization. CEC 2019: 7-13 - [c213]Francisco Herrera:
Quality Data Processing for Deep Learning. COMPLEXIS 2019: 5 - [c212]Eugenio Martínez Cámara, Nuria Rodríguez Barroso, Antonio R. Moya, José Alberto Fernández, Elena Romero, Francisco Herrera:
Deep Learning Hyper-parameter Tuning for Sentiment Analysis in Twitter based on Evolutionary Algorithms. FedCSIS 2019: 255-264 - [c211]Besay Montesdeoca, Julián Luengo, Jesús Maillo, Diego García-Gil, Salvador García, Francisco Herrera:
A First Approach on Big Data Missing Values Imputation. IoTBDS 2019: 315-323 - [c210]Diego García-Gil, Alejandro Alcalde-Barros, Julián Luengo, Salvador García, Francisco Herrera:
Big Data Preprocessing as the Bridge between Big Data and Smart Data: BigDaPSpark and BigDaPFlink Libraries. IoTBDS 2019: 324-331 - [c209]David Charte, Francisco Charte, María José del Jesus, Francisco Herrera:
A Showcase of the Use of Autoencoders in Feature Learning Applications. IWINAC (2) 2019: 412-421 - [c208]María José Basgall, Waldo Hasperué, Marcelo R. Naiouf, Alberto Fernández, Francisco Herrera:
An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing. JCC&BD 2019: 75-85 - [i20]Gioele Ciaparrone, Francisco Luque Sánchez, Siham Tabik, Luigi Troiano, Roberto Tagliaferri, Francisco Herrera:
Deep Learning in Video Multi-Object Tracking: A Survey. CoRR abs/1907.12740 (2019) - [i19]Alejandro Barredo Arrieta, Natalia Díaz Rodríguez, Javier Del Ser, Adrien Bennetot, Siham Tabik, Alberto Barbado, Salvador García, Sergio Gil-Lopez, Daniel Molina, Richard Benjamins, Raja Chatila, Francisco Herrera:
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI. CoRR abs/1910.10045 (2019) - 2018
- [b6]Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, Francisco Herrera:
Learning from Imbalanced Data Sets. Springer 2018, ISBN 978-3-319-98073-7, pp. 1-377 - [j406]Min Chen, Francisco Herrera, Kai Hwang:
Cognitive Computing: Architecture, Technologies and Intelligent Applications. IEEE Access 6: 19774-19783 (2018) - [j405]Ziguo Fu, Xingli Wu, Huchang Liao, Francisco Herrera:
Underground Mining Method Selection With the Hesitant Fuzzy Linguistic Gained and Lost Dominance Score Method. IEEE Access 6: 66442-66458 (2018) - [j404]Rosana Montes, Ana M. Sánchez, Pedro Villar, Francisco Herrera:
Teranga Go!: Carpooling Collaborative Consumption Community with multi-criteria hesitant fuzzy linguistic term set opinions to build confidence and trust. Appl. Soft Comput. 67: 941-952 (2018) - [j403]Deborah Galpert, Alberto Fernández, Francisco Herrera, Agostinho Antunes, Reinaldo Molina Ruiz, Guillermín Agüero-Chapín:
Surveying alignment-free features for Ortholog detection in related yeast proteomes by using supervised big data classifiers. BMC Bioinform. 19(1): 166:1-166:17 (2018) - [j402]Xunjie Gou, Zeshui Xu, Huchang Liao, Francisco Herrera:
Multiple criteria decision making based on distance and similarity measures under double hierarchy hesitant fuzzy linguistic environment. Comput. Ind. Eng. 126: 516-530 (2018) - [j401]Alejandro Rosales-Pérez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera:
MC2ESVM: Multiclass Classification Based on Cooperative Evolution of Support Vector Machines. IEEE Comput. Intell. Mag. 13(2): 18-29 (2018) - [j400]Daniel Molina, Antonio LaTorre, Francisco Herrera:
An Insight into Bio-inspired and Evolutionary Algorithms for Global Optimization: Review, Analysis, and Lessons Learnt over a Decade of Competitions. Cogn. Comput. 10(4): 517-544 (2018) - [j399]Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
Online entropy-based discretization for data streaming classification. Future Gener. Comput. Syst. 86: 59-70 (2018) - [j398]Antonio-Francisco Roldán-López-de-Hierro, Concepción Roldán, Francisco Herrera:
On a new methodology for ranking fuzzy numbers and its application to real economic data. Fuzzy Sets Syst. 353: 86-110 (2018) - [j397]Francisco Padillo, José María Luna, Francisco Herrera, Sebastián Ventura:
Mining association rules on Big Data through MapReduce genetic programming. Integr. Comput. Aided Eng. 25(1): 31-48 (2018) - [j396]Huchang Liao, Zeshui Xu, Francisco Herrera, José M. Merigó:
Editorial Message: Special Issue on Hesitant Fuzzy Linguistic Decision Making: Algorithms, Theory and Applications. Int. J. Fuzzy Syst. 20(7): 2083 (2018) - [j395]Huchang Liao, Zeshui Xu, Enrique Herrera-Viedma, Francisco Herrera:
Hesitant Fuzzy Linguistic Term Set and Its Application in Decision Making: A State-of-the-Art Survey. Int. J. Fuzzy Syst. 20(7): 2084-2110 (2018) - [j394]Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera:
On the use of convolutional neural networks for robust classification of multiple fingerprint captures. Int. J. Intell. Syst. 33(1): 213-230 (2018) - [j393]Roberto Olmos, Siham Tabik, Francisco Herrera:
Automatic handgun detection alarm in videos using deep learning. Neurocomputing 275: 66-72 (2018) - [j392]Zhong-Liang Zhang, Xinggang Luo, Sergio González, Salvador García, Francisco Herrera:
DRCW-ASEG: One-versus-One distance-based relative competence weighting with adaptive synthetic example generation for multi-class imbalanced datasets. Neurocomputing 285: 176-187 (2018) - [j391]Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, Francisco Herrera:
Tips, guidelines and tools for managing multi-label datasets: The mldr.datasets R package and the Cometa data repository. Neurocomputing 289: 68-85 (2018) - [j390]Cristina Zuheros, Cong-Cong Li, Francisco Javier Cabrerizo, Yucheng Dong, Enrique Herrera-Viedma, Francisco Herrera:
Computing with Words: Revisiting the Qualitative Scale. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 26(Supplement-2): 127-143 (2018) - [j389]Sergio Ramírez-Gallego, Alberto Fernández, Salvador García, Min Chen, Francisco Herrera:
Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce. Inf. Fusion 42: 51-61 (2018) - [j388]Iti Chaturvedi, Erik Cambria, Roy E. Welsch, Francisco Herrera:
Distinguishing between facts and opinions for sentiment analysis: Survey and challenges. Inf. Fusion 44: 65-77 (2018) - [j387]David Charte, Francisco Charte, Salvador García, María José del Jesus, Francisco Herrera:
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. Inf. Fusion 44: 78-96 (2018) - [j386]Ana Valdivia, María Victoria Luzón, Erik Cambria, Francisco Herrera:
Consensus vote models for detecting and filtering neutrality in sentiment analysis. Inf. Fusion 44: 126-135 (2018) - [j385]Cong-Cong Li, Rosa M. Rodríguez, Luis Martínez, Yucheng Dong, Francisco Herrera:
Consistency of hesitant fuzzy linguistic preference relations: An interval consistency index. Inf. Sci. 432: 347-361 (2018) - [j384]Sarah Vluymans, Chris Cornelis, Francisco Herrera, Yvan Saeys:
Multi-label classification using a fuzzy rough neighborhood consensus. Inf. Sci. 433-434: 96-114 (2018) - [j383]Salvador García, Zhong-Liang Zhang, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera:
Dynamic ensemble selection for multi-class imbalanced datasets. Inf. Sci. 445-446: 22-37 (2018) - [j382]Alberto Fernández, Salvador García, Francisco Herrera, Nitesh V. Chawla:
SMOTE for Learning from Imbalanced Data: Progress and Challenges, Marking the 15-year Anniversary. J. Artif. Intell. Res. 61: 863-905 (2018) - [j381]María José Basgall, Waldo Hasperué, Marcelo R. Naiouf, Alberto Fernández, Francisco Herrera:
SMOTE-BD: An Exact and Scalable Oversampling Method for Imbalanced Classification in Big Data. J. Comput. Sci. Technol. 18(03): 23 (2018) - [j380]Sarah Vluymans, Alberto Fernández, Yvan Saeys, Chris Cornelis, Francisco Herrera:
Dynamic affinity-based classification of multi-class imbalanced data with one-versus-one decomposition: a fuzzy rough set approach. Knowl. Inf. Syst. 56(1): 55-84 (2018) - [j379]Cristóbal J. Carmona, María José del Jesus, Francisco Herrera:
A unifying analysis for the supervised descriptive rule discovery via the weighted relative accuracy. Knowl. Based Syst. 139: 89-100 (2018) - [j378]Julián Luengo, Seong-O Shim, Saleh Alshomrani, Abdulrahman H. Altalhi, Francisco Herrera:
CNC-NOS: Class noise cleaning by ensemble filtering and noise scoring. Knowl. Based Syst. 140: 27-49 (2018) - [j377]Cong-Cong Li, Rosa M. Rodríguez, Luis Martínez, Yucheng Dong, Francisco Herrera:
Personalized individual semantics based on consistency in hesitant linguistic group decision making with comparative linguistic expressions. Knowl. Based Syst. 145: 156-165 (2018) - [j376]Giovanni Acampora, Francisco Herrera, Genoveffa Tortora, Autilia Vitiello:
A multi-objective evolutionary approach to training set selection for support vector machine. Knowl. Based Syst. 147: 94-108 (2018) - [j375]Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
Principal Components Analysis Random Discretization Ensemble for Big Data. Knowl. Based Syst. 150: 166-174 (2018) - [j374]Huchang Liao, Xingli Wu, Xuedong Liang, Jian-Bo Yang, Dong-Ling Xu, Francisco Herrera:
A continuous interval-valued linguistic ORESTE method for multi-criteria group decision making. Knowl. Based Syst. 153: 65-77 (2018) - [j373]Diana Martín, María Martínez-Ballesteros, Diego García-Gil, Jesús Alcalá-Fdez, Francisco Herrera, José Cristóbal Riquelme Santos:
MRQAR: A generic MapReduce framework to discover quantitative association rules in big data problems. Knowl. Based Syst. 153: 176-192 (2018) - [j372]Xunjie Gou, Zeshui Xu, Francisco Herrera:
Consensus reaching process for large-scale group decision making with double hierarchy hesitant fuzzy linguistic preference relations. Knowl. Based Syst. 157: 20-33 (2018) - [j371]Ignacio Cordón, Salvador García, Alberto Fernández, Francisco Herrera:
Imbalance: Oversampling algorithms for imbalanced classification in R. Knowl. Based Syst. 161: 329-341 (2018) - [j370]Rosa M. Rodríguez, Yejun Xu, Luis Martínez-López, Francisco Herrera:
Exploring Consistency for Hesitant Preference Relations in Decision Making: Discussing Concepts, Meaning and Taxonomy. J. Multiple Valued Log. Soft Comput. 30(2-3): 129-154 (2018) - [j369]Bartosz Krawczyk, Mikel Galar, Michal Wozniak, Humberto Bustince, Francisco Herrera:
Dynamic ensemble selection for multi-class classification with one-class classifiers. Pattern Recognit. 83: 34-51 (2018) - [j368]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
A distributed evolutionary multivariate discretizer for Big Data processing on Apache Spark. Swarm Evol. Comput. 38: 240-250 (2018) - [j367]Francisco Javier Baldan, Sergio Ramírez-Gallego, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez:
A Forecasting Methodology for Workload Forecasting in Cloud Systems. IEEE Trans. Cloud Comput. 6(4): 929-941 (2018) - [j366]Huchang Liao, Xiaomei Mi, Zeshui Xu, Jiuping Xu, Francisco Herrera:
Intuitionistic Fuzzy Analytic Network Process. IEEE Trans. Fuzzy Syst. 26(5): 2578-2590 (2018) - [j365]Xingli Wu, Huchang Liao, Zeshui Xu, Arian Hafezalkotob, Francisco Herrera:
Probabilistic Linguistic MULTIMOORA: A Multicriteria Decision Making Method Based on the Probabilistic Linguistic Expectation Function and the Improved Borda Rule. IEEE Trans. Fuzzy Syst. 26(6): 3688-3702 (2018) - [j364]Huchang Liao, Xingli Wu, Xuedong Liang, Jiuping Xu, Francisco Herrera:
A New Hesitant Fuzzy Linguistic ORESTE Method for Hybrid Multicriteria Decision Making. IEEE Trans. Fuzzy Syst. 26(6): 3793-3807 (2018) - [j363]Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera:
An Information Theory-Based Feature Selection Framework for Big Data Under Apache Spark. IEEE Trans. Syst. Man Cybern. Syst. 48(9): 1441-1453 (2018) - [c207]Andres Jesus Sanchez, Luis Felipe Romero, Siham Tabik, Miguel Angel Medina-Pérez, Francisco Herrera:
A First Step to Accelerating Fingerprint Matching Based on Deformable Minutiae Clustering. CAEPIA 2018: 361-371 - [c206]Mikel Galar, Isaac Triguero, Humberto Bustince, Francisco Herrera:
A Preliminary Study of the Feasibility of Global Evolutionary Feature Selection for Big Datasets under Apache Spark. CEC 2018: 1-8 - [c205]Daniel Molina, Antonio LaTorre, Francisco Herrera:
SHADE with Iterative Local Search for Large-Scale Global Optimization. CEC 2018: 1-8 - [c204]Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero:
A preliminary study on Hybrid Spill-Tree Fuzzy k-Nearest Neighbors for big data classification. FUZZ-IEEE 2018: 1-8 - [c203]Alejandro Rosales-Pérez, Andrés Eduardo Gutiérrez-Rodríguez, Salvador García, Hugo Terashima-Marín, Carlos A. Coello Coello, Francisco Herrera:
Cooperative multi-objective evolutionary support vector machines for multiclass problems. GECCO 2018: 513-520 - [c202]Diego García-Gil, Sergio Ramírez-Gallego, Salvador García, Francisco Herrera:
On the Use of Random Discretization and Dimensionality Reduction in Ensembles for Big Data. HAIS 2018: 15-26 - [c201]Julián Fernando Muñoz-Ordóñez, Carlos Cobos, Martha Mendoza, Enrique Herrera-Viedma, Francisco Herrera, Siham Tabik:
Framework for the Training of Deep Neural Networks in TensorFlow Using Metaheuristics. IDEAL (1) 2018: 801-811 - [c200]Huchang Liao, Xingli Wu, Francisco Herrera:
DNBMA: A Double Normalization-Based Multi-Aggregation Method. IPMU (3) 2018: 63-73 - [c199]Jeovani Morales, Rosana Montes, Noe Zermeño, Jeronimo Duran, Francisco Herrera:
The Use of Fuzzy Linguistic Information and Fuzzy Delphi Method to Validate by Consensus a Questionnaire in a Blended-Learning Environment. IPMU (3) 2018: 137-149 - [c198]Julián Luengo, Dánel Sánchez Tarragó, Ronaldo C. Prati, Francisco Herrera:
A First Study on the Use of Noise Filtering to Clean the Bags in Multi-Instance Classification. LOPAL 2018: 3:1-3:6 - [c197]Yassir Benhammou, Siham Tabik, Boujemâa Achchab, Francisco Herrera:
A first study exploring the performance of the state-of-the art CNN model in the problem of breast cancer. LOPAL 2018: 47:1-47:6 - [c196]Nuria Rodríguez Barroso, Eugenio Martínez-Cámara, Francisco Herrera:
SCI2S at TASS 2018: Emotion Classification with Recurrent Neural Networks. TASS@SEPLN 2018: 117-123 - [e8]Francisco Herrera, Sergio Damas, Rosana Montes, Sergio Alonso, Oscar Cordón, Antonio González, Alicia Troncoso:
Advances in Artificial Intelligence - 18th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2018, Granada, Spain, October 23-26, 2018, Proceedings. Lecture Notes in Computer Science 11160, Springer 2018, ISBN 978-3-030-00373-9 [contents] - [i18]David Charte, Francisco Charte, Salvador García, María José del Jesus, Francisco Herrera:
A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines. CoRR abs/1801.01586 (2018) - [i17]Francisco Charte, Antonio J. Rivera, David Charte, María José del Jesus, Francisco Herrera:
Tips, guidelines and tools for managing multi-label datasets: the mldr.datasets R package and the Cometa data repository. CoRR abs/1802.03568 (2018) - [i16]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
Tackling Multilabel Imbalance through Label Decoupling and Data Resampling Hybridization. CoRR abs/1802.05031 (2018) - [i15]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
Dealing with Difficult Minority Labels in Imbalanced Mutilabel Data Sets. CoRR abs/1802.05033 (2018) - [i14]Anabel Gómez-Ríos, Siham Tabik, Julián Luengo, A. S. M. Shihavuddin, Bartosz Krawczyk, Francisco Herrera:
Towards Highly Accurate Coral Texture Images Classification Using Deep Convolutional Neural Networks and Data Augmentation. CoRR abs/1804.00516 (2018) - [i13]Sergio Ramírez-Gallego, Salvador García, Ning Xiong, Francisco Herrera:
BELIEF: A distance-based redundancy-proof feature selection method for Big Data. CoRR abs/1804.05774 (2018) - [i12]Alejandro Alcalde-Barros, Diego García-Gil, Salvador García, Francisco Herrera:
DPASF: A Flink Library for Streaming Data preprocessing. CoRR abs/1810.06021 (2018) - [i11]M. Cristina Heredia-Gómez, Salvador García, Pedro Antonio Gutiérrez, Francisco Herrera:
OCAPIS: R package for Ordinal Classification And Preprocessing In Scala. CoRR abs/1810.09733 (2018) - [i10]David Charte, Francisco Charte, Salvador García, Francisco Herrera:
A snapshot on nonstandard supervised learning problems: taxonomy, relationships and methods. CoRR abs/1811.12044 (2018) - [i9]Juan-Luis Suárez, Salvador García, Francisco Herrera:
A Tutorial on Distance Metric Learning: Mathematical Foundations, Algorithms and Software. CoRR abs/1812.05944 (2018) - 2017
- [j362]Alberto Fernández, Sara del Río, Abdullah Bawakid, Francisco Herrera:
Fuzzy rule based classification systems for big data with MapReduce: granularity analysis. Adv. Data Anal. Classif. 11(4): 711-730 (2017) - [j361]Zhong-Liang Zhang, Xinggang Luo, Salvador García, Francisco Herrera:
Cost-Sensitive back-propagation neural networks with binarization techniques in addressing multi-class problems and non-competent classifiers. Appl. Soft Comput. 56: 357-367 (2017) - [j360]Derek A. Smith, Alicia Ibáñez, Francisco Herrera:
The Importance of Context: Assessing the Benefits and Limitations of Participatory Mapping for Empowering Indigenous Communities in the Comarca Ngäbe-Buglé, Panama. Cartogr. Int. J. Geogr. Inf. Geovisualization 52(1): 49-62 (2017) - [j359]Giovanni Acampora, Bruno Siciliano, Hani Hagras, Francisco Herrera:
Conference Report on 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2017) [Conference Reports]. IEEE Comput. Intell. Mag. 12(4): 6-8 (2017) - [j358]Ana Valdivia, María Victoria Luzón, Francisco Herrera:
Sentiment Analysis in TripAdvisor. IEEE Intell. Syst. 32(4): 72-77 (2017) - [j357]Siham Tabik, Daniel Peralta, Andrés Herrera-Poyatos, Francisco Herrera:
A snapshot of image pre-processing for convolutional neural networks: case study of MNIST. Int. J. Comput. Intell. Syst. 10(1): 555-568 (2017) - [j356]Alberto Fernández, Abdulrahman H. Altalhi, Saleh Alshomrani, Francisco Herrera:
Why Linguistic Fuzzy Rule Based Classification Systems perform well in Big Data Applications? Int. J. Comput. Intell. Syst. 10(1): 1211-1225 (2017) - [j355]Isaac Triguero, Sergio González, Jose M. Moyano, Salvador García, Jesús Alcalá-Fdez, Julián Luengo, Alberto Fernández, María José del Jesus, Luciano Sánchez, Francisco Herrera:
KEEL 3.0: An Open Source Software for Multi-Stage Analysis in Data Mining. Int. J. Comput. Intell. Syst. 10(1): 1238-1249 (2017) - [j354]José A. Gámez, Francisco Herrera, José M. Puerta:
Guest Editorial: Recent Trends in Intelligent Systems. Int. J. Intell. Syst. 32(2): 107-108 (2017) - [j353]Sergio Ramírez-Gallego, Iago Lastra, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Francisco Herrera, Amparo Alonso-Betanzos:
Fast-mRMR: Fast Minimum Redundancy Maximum Relevance Algorithm for High-Dimensional Big Data. Int. J. Intell. Syst. 32(2): 134-152 (2017) - [j352]Alberto Fernández, Cristóbal J. Carmona, María José del Jesus, Francisco Herrera:
A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets. Int. J. Neural Syst. 27(6): 1750028:1-1750028:21 (2017) - [j351]Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, Francisco Herrera:
A survey on data preprocessing for data stream mining: Current status and future directions. Neurocomputing 239: 39-57 (2017) - [j350]Cong-Cong Li, Yucheng Dong, Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez-López:
Personalized individual semantics in computing with words for supporting linguistic group decision making. An application on consensus reaching. Inf. Fusion 33: 29-40 (2017) - [j349]Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera:
NMC: nearest matrix classification - A new combination model for pruning One-vs-One ensembles by transforming the aggregation problem. Inf. Fusion 36: 26-51 (2017) - [j348]Xunjie Gou, Huchang Liao, Zeshui Xu, Francisco Herrera:
Double hierarchy hesitant fuzzy linguistic term set and MULTIMOORA method: A case of study to evaluate the implementation status of haze controlling measures. Inf. Fusion 38: 22-34 (2017) - [j347]Yucheng Dong, Zhaogang Ding, Luis Martínez-López, Francisco Herrera:
Managing consensus based on leadership in opinion dynamics. Inf. Sci. 397: 187-205 (2017) - [j346]Daniel Peralta, Salvador García, José Manuel Benítez, Francisco Herrera:
Minutiae-based fingerprint matching decomposition: Methodology for big data frameworks. Inf. Sci. 408: 198-212 (2017) - [j345]Huchang Liao, Lisheng Jiang, Zeshui Xu, Jiuping Xu, Francisco Herrera:
A linear programming method for multiple criteria decision making with probabilistic linguistic information. Inf. Sci. 415: 341-355 (2017) - [j344]Amparo Alonso-Betanzos, José A. Gámez, Francisco Herrera, José M. Puerta, José C. Riquelme:
Volume, variety and velocity in Data Science. Knowl. Based Syst. 117: 1-2 (2017) - [j343]Jesús Maillo, Sergio Ramírez-Gallego, Isaac Triguero, Francisco Herrera:
kNN-IS: An Iterative Spark-based design of the k-Nearest Neighbors classifier for big data. Knowl. Based Syst. 117: 3-15 (2017) - [j342]Zhong-Liang Zhang, Xinggang Luo, Salvador García, Jiafu Tang, Francisco Herrera:
Exploring the effectiveness of dynamic ensemble selection in the one-versus-one scheme. Knowl. Based Syst. 125: 53-63 (2017) - [j341]Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera:
Distributed incremental fingerprint identification with reduced database penetration rate using a hierarchical classification based on feature fusion and selection. Knowl. Based Syst. 126: 91-103 (2017) - [j340]Pablo David Gutiérrez, Miguel Lastra, José Manuel Benítez, Francisco Herrera:
SMOTE-GPU: Big Data preprocessing on commodity hardware for imbalanced classification. Prog. Artif. Intell. 6(4): 347-354 (2017) - [j339]Sergio González, Salvador García, Marcelino Lázaro, Aníbal R. Figueiras-Vidal, Francisco Herrera:
Class Switching according to Nearest Enemy Distance for learning from highly imbalanced data-sets. Pattern Recognit. 70: 12-24 (2017) - [j338]Emilio Guirado, Siham Tabik, Domingo Alcaraz-Segura, Javier Cabello, Francisco Herrera:
Deep-learning Versus OBIA for Scattered Shrub Detection with Google Earth Imagery: Ziziphus lotus as Case Study. Remote. Sens. 9(12): 1220 (2017) - [j337]Pablo Morales-Álvarez, Julián Luengo, Luís Paulo F. Garcia, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera:
The NoiseFiltersR Package: Label Noise Preprocessing in R. R J. 9(1): 219 (2017) - [j336]Carlos García-Martínez, Pablo David Gutiérrez, Daniel Molina, Manuel Lozano, Francisco Herrera:
Since CEC 2005 competition on real-parameter optimisation: a decade of research, progress and comparative analysis's weakness. Soft Comput. 21(19): 5573-5583 (2017) - [j335]Alejandro Rosales-Pérez, Salvador García, Jesus A. Gonzalez, Carlos A. Coello Coello, Francisco Herrera:
An Evolutionary Multiobjective Model and Instance Selection for Support Vector Machines With Pareto-Based Ensembles. IEEE Trans. Evol. Comput. 21(6): 863-877 (2017) - [j334]Jie Lu, Francisco Herrera, Guangquan Zhang:
Guest Editorial Special Section on Fuzzy Systems in Data Science. IEEE Trans. Fuzzy Syst. 25(6): 1373-1375 (2017) - [j333]Sergio Ramírez-Gallego, Bartosz Krawczyk, Salvador García, Michal Wozniak, José Manuel Benítez, Francisco Herrera:
Nearest Neighbor Classification for High-Speed Big Data Streams Using Spark. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2727-2739 (2017) - [c195]Daniel Molina, Francisco Moreno-Garcia, Francisco Herrera:
Analysis among winners of different IEEE CEC competitions on real-parameters optimization: Is there always improvement? CEC 2017: 805-812 - [c194]Isaac Triguero, Mikel Galar, Humberto Bustince, Francisco Herrera:
A first attempt on global evolutionary undersampling for imbalanced big data. CEC 2017: 2054-2061 - [c193]Francisco Herrera:
Big Data, Smart Data and Imbalanced Classification - Preprocessing, Models and Challenges. CLOSER 2017: 7 - [c192]Alberto Fernández, Eva Almansa, Francisco Herrera:
Chi-Spark-RS: An Spark-built evolutionary fuzzy rule selection algorithm in imbalanced classification for big data problems. FUZZ-IEEE 2017: 1-6 - [c191]Cong-Cong Li, Rosa M. Rodríguez, Francisco Herrera, Luis Martínez, Yucheng Dong:
A consistency-driven approach to set personalized numerical scales for hesitant fuzzy linguistic preference relations. FUZZ-IEEE 2017: 1-5 - [c190]Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera, Isaac Triguero:
Exact fuzzy k-nearest neighbor classification for big datasets. FUZZ-IEEE 2017: 1-6 - [c189]Rosana Montes, Ana M. Sánchez, Pedro Villar, Francisco Herrera:
A decision making model to evaluate the reputation in social networks using HFLTS. FUZZ-IEEE 2017: 1-6 - [c188]Ronaldo C. Prati, Francisco Charte, Francisco Herrera:
A first approach towards a fuzzy decision tree for multilabel classification. FUZZ-IEEE 2017: 1-6 - [c187]Ana Valdivia, María Victoria Luzón, Francisco Herrera:
Neutrality in the sentiment analysis problem based on fuzzy majority. FUZZ-IEEE 2017: 1-6 - [c186]Ana Valdivia, María Victoria Luzón, Francisco Herrera:
Sentiment Analysis on TripAdvisor: Are There Inconsistencies in User Reviews? HAIS 2017: 15-25 - [c185]Miguel Ángel Rodríguez, Alberto Fernández, Antonio Peregrín, Francisco Herrera:
A Review of Distributed Data Models for Learning. HAIS 2017: 88-97 - [c184]Anabel Gómez-Ríos, Julián Luengo, Francisco Herrera:
A Study on the Noise Label Influence in Boosting Algorithms: AdaBoost, GBM and XGBoost. HAIS 2017: 268-280 - [c183]Jacinto Carrasco, Salvador García, María del Mar Rueda, Francisco Herrera:
rNPBST: An R Package Covering Non-parametric and Bayesian Statistical Tests. HAIS 2017: 281-292 - [c182]Faruk Mustafic, Francisco Herrera, Ning Xiong, Sergio Ramírez-Gallego:
MapReduce distributed highly random fuzzy forest for noisy big data. ICNC-FSKD 2017: 560-567 - [i8]Andrés Herrera-Poyatos, Francisco Herrera:
Genetic and Memetic Algorithm with Diversity Equilibrium based on Greedy Diversification. CoRR abs/1702.03594 (2017) - [i7]Roberto Olmos, Siham Tabik, Francisco Herrera:
Automatic Handgun Detection Alarm in Videos Using Deep Learning. CoRR abs/1702.05147 (2017) - [i6]Daniel Peralta, Isaac Triguero, Salvador García, Yvan Saeys, José Manuel Benítez, Francisco Herrera:
Fingerprint classification with a new deep neural network model: robustness for different captures of the same fingerprints. CoRR abs/1703.07270 (2017) - [i5]Diego García-Gil, Julián Luengo, Salvador García, Francisco Herrera:
Enabling Smart Data: Noise filtering in Big Data classification. CoRR abs/1704.01770 (2017) - [i4]Emilio Guirado, Siham Tabik, Domingo Alcaraz-Segura, Javier Cabello, Francisco Herrera:
Deep-Learning Convolutional Neural Networks for scattered shrub detection with Google Earth Imagery. CoRR abs/1706.00917 (2017) - 2016
- [b5]Francisco Herrera, Francisco Charte, Antonio J. Rivera, María José del Jesus:
Multilabel Classification - Problem Analysis, Metrics and Techniques. Springer 2016, ISBN 978-3-319-41110-1, pp. 1-194 - [b4]Francisco Herrera, Sebastián Ventura, Rafael Bello, Chris Cornelis, Amelia Zafra, Dánel Sánchez Tarragó, Sarah Vluymans:
Multiple Instance Learning - Foundations and Algorithms. Springer 2016, ISBN 978-3-319-47758-9, pp. 1-233 - [j332]Nele Verbiest, Joaquín Derrac, Chris Cornelis, Salvador García, Francisco Herrera:
Evolutionary wrapper approaches for training set selection as preprocessing mechanism for support vector machines: Experimental evaluation and support vector analysis. Appl. Soft Comput. 38: 10-22 (2016) - [j331]Bartosz Krawczyk, Mikel Galar, Lukasz Jelen, Francisco Herrera:
Evolutionary undersampling boosting for imbalanced classification of breast cancer malignancy. Appl. Soft Comput. 38: 714-726 (2016) - [j330]Enislay Ramentol, I. Gondres, S. Lajes, Rafael Bello, Yaile Caballero, Chris Cornelis, Francisco Herrera:
Fuzzy-rough imbalanced learning for the diagnosis of High Voltage Circuit Breaker maintenance: The SMOTE-FRST-2T algorithm. Eng. Appl. Artif. Intell. 48: 134-139 (2016) - [j329]Alberto Fernández, Mikel Elkano, Mikel Galar, José Antonio Sanz, Saleh Alshomrani, Humberto Bustince, Francisco Herrera:
Enhancing evolutionary fuzzy systems for multi-class problems: Distance-based relative competence weighting with truncated confidences (DRCW-TC). Int. J. Approx. Reason. 73: 108-122 (2016) - [j328]Alberto Fernández, Cristóbal J. Carmona, María José del Jesus, Francisco Herrera:
A View on Fuzzy Systems for Big Data: Progress and Opportunities. Int. J. Comput. Intell. Syst. 9(sup1): 69-80 (2016) - [j327]José A. Sáez, Julián Luengo, Francisco Herrera:
Evaluating the classifier behavior with noisy data considering performance and robustness: The Equalized Loss of Accuracy measure. Neurocomputing 176: 26-35 (2016) - [j326]José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera:
INFFC: An iterative class noise filter based on the fusion of classifiers with noise sensitivity control. Inf. Fusion 27: 19-32 (2016) - [j325]Rosa M. Rodríguez, Benjamín R. C. Bedregal, Humberto Bustince, Yucheng Dong, Bahram Farhadinia, Cengiz Kahraman, Luis Martínez-López, Vicenç Torra, Y. J. Xu, Zeshui Xu, Francisco Herrera:
A position and perspective analysis of hesitant fuzzy sets on information fusion in decision making. Towards high quality progress. Inf. Fusion 29: 89-97 (2016) - [j324]Daniel Peralta, Isaac Triguero, Salvador García, Francisco Herrera, José Manuel Benítez:
DPD-DFF: A dual phase distributed scheme with double fingerprint fusion for fast and accurate identification in large databases. Inf. Fusion 32: 40-51 (2016) - [j323]Yejun Xu, Francisco Herrera, Huimin Wang:
A distance-based framework to deal with ordinal and additive inconsistencies for fuzzy reciprocal preference relations. Inf. Sci. 328: 189-205 (2016) - [j322]Joaquín Derrac, Francisco Chiclana, Salvador García, Francisco Herrera:
Evolutionary fuzzy k-nearest neighbors algorithm using interval-valued fuzzy sets. Inf. Sci. 329: 144-163 (2016) - [j321]Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera:
Ordering-based pruning for improving the performance of ensembles of classifiers in the framework of imbalanced datasets. Inf. Sci. 354: 178-196 (2016) - [j320]Diana Martín, Jesús Alcalá-Fdez, Alejandro Rosete, Francisco Herrera:
NICGAR: A Niching Genetic Algorithm to mine a diverse set of interesting quantitative association rules. Inf. Sci. 355-356: 208-228 (2016) - [j319]Yucheng Dong, Cong-Cong Li, Francisco Herrera:
Connecting the linguistic hierarchy and the numerical scale for the 2-tuple linguistic model and its use to deal with hesitant unbalanced linguistic information. Inf. Sci. 367-368: 259-278 (2016) - [j318]Benjamin Lacroix, Daniel Molina, Francisco Herrera:
Region-based memetic algorithm with archive for multimodal optimisation. Inf. Sci. 367-368: 719-746 (2016) - [j317]Pablo David Gutiérrez, Miguel Lastra, Jaume Bacardit, José Manuel Benítez, Francisco Herrera:
GPU-SME-kNN: Scalable and memory efficient kNN and lazy learning using GPUs. Inf. Sci. 373: 165-182 (2016) - [j316]Salvador García, Julián Luengo, Francisco Herrera:
Tutorial on practical tips of the most influential data preprocessing algorithms in data mining. Knowl. Based Syst. 98: 1-29 (2016) - [j315]Yejun Xu, Lei Chen, Rosa M. Rodríguez, Francisco Herrera, Huimin Wang:
Deriving the priority weights from incomplete hesitant fuzzy preference relations in group decision making. Knowl. Based Syst. 99: 71-78 (2016) - [j314]Zhongliang Zhang, Bartosz Krawczyk, Salvador García, Alejandro Rosales-Pérez, Francisco Herrera:
Empowering one-vs-one decomposition with ensemble learning for multi-class imbalanced data. Knowl. Based Syst. 106: 251-263 (2016) - [j313]Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera:
Fuzzy rough classifiers for class imbalanced multi-instance data. Pattern Recognit. 53: 36-45 (2016) - [j312]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
Multivariate Discretization Based on Evolutionary Cut Points Selection for Classification. IEEE Trans. Cybern. 46(3): 595-608 (2016) - [j311]Humberto Bustince, Edurne Barrenechea, Miguel Pagola, Javier Fernández, Zeshui Xu, Benjamín R. C. Bedregal, Javier Montero, Hani Hagras, Francisco Herrera, Bernard De Baets:
A Historical Account of Types of Fuzzy Sets and Their Relationships. IEEE Trans. Fuzzy Syst. 24(1): 179-194 (2016) - [j310]Jerry M. Mendel, Hani Hagras, Humberto Bustince, Francisco Herrera:
Comments on "Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Towards a Wide View on Their Relationship". IEEE Trans. Fuzzy Syst. 24(1): 249-250 (2016) - [j309]Sarah Vluymans, Dánel Sánchez Tarragó, Yvan Saeys, Chris Cornelis, Francisco Herrera:
Fuzzy Multi-Instance Classifiers. IEEE Trans. Fuzzy Syst. 24(6): 1395-1409 (2016) - [j308]Zheng Yan, Jun Liu, Robert H. Deng, Francisco Herrera:
Editorial: Trust Management for Multimedia Big Data. ACM Trans. Multim. Comput. Commun. Appl. 12(4s): 57:1-57:2 (2016) - [j307]Sergio Ramírez-Gallego, Salvador García, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera:
Data discretization: taxonomy and big data challenge. WIREs Data Mining Knowl. Discov. 6(1): 5-21 (2016) - [c181]Alberto Fernández, Francisco Herrera:
Evolutionary Fuzzy Systems: A Case Study in Imbalanced Classification. Fuzzy Logic and Information Fusion 2016: 169-200 - [c180]Isaac Triguero, Mikel Galar, D. Merino, Jesús Maillo, Humberto Bustince, Francisco Herrera:
Evolutionary undersampling for extremely imbalanced big data classification under apache spark. CEC 2016: 640-647 - [c179]Sancho Salcedo-Sanz, Carlos Camacho-Gómez, Daniel Molina, Francisco Herrera:
A coral reefs optimization algorithm with substrate layers and local search for large scale global optimization. CEC 2016: 3574-3581 - [c178]Miguel León Ortiz, Yigen Zenlander, Ning Xiong, Francisco Herrera:
Designing optimal harmonic filters in power systems using greedy adaptive Differential Evolution. ETFA 2016: 1-7 - [c177]Cong-Cong Li, Yucheng Dong, Francisco Herrera, Luis Martínez:
An optimization-based approach to estimate the range of consistency in hesitant fuzzy linguistic preference relations. FUZZ-IEEE 2016: 864-871 - [c176]Pedro Villar, Rosana Montes, Ana Maria Sánchez, Francisco Herrera:
Fuzzy-Citation-KNN: A fuzzy nearest neighbor approach for multi-instance classification. FUZZ-IEEE 2016: 946-952 - [c175]Alberto Fernández, Sara del Río, Francisco Herrera:
A First Approach in Evolutionary Fuzzy Systems based on the lateral tuning of the linguistic labels for Big Data classification. FUZZ-IEEE 2016: 1437-1444 - [c174]Francisco Charte, David Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
R Ultimate Multilabel Dataset Repository. HAIS 2016: 487-499 - [c173]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
On the Impact of Dataset Complexity and Sampling Strategy in Multilabel Classifiers Performance. HAIS 2016: 500-511 - [c172]Sergio González, Francisco Herrera, Salvador García:
Managing Monotonicity in Classification by a Pruned AdaBoost. HAIS 2016: 512-523 - [c171]Pablo Morales-Alvarez, Julián Luengo, Francisco Herrera:
A First Study on the Use of Boosting for Class Noise Reparation. HAIS 2016: 549-559 - [c170]Isaac Triguero, Jesús Maillo, Julián Luengo, Salvador García, Francisco Herrera:
From Big Data to Smart Data with the K-Nearest Neighbours Algorithm. iThings/GreenCom/CPSCom/SmartData 2016: 859-864 - [p10]Rosa M. Rodríguez, Luis Martínez-López, Francisco Herrera, Vicenç Torra:
A Review of Hesitant Fuzzy Sets: Quantitative and Qualitative Extensions. Fuzzy Logic in Its 50th Year 2016: 109-128 - [i3]Sergio Ramírez-Gallego, Héctor Mouriño-Talín, David Martínez-Rego, Verónica Bolón-Canedo, José Manuel Benítez, Amparo Alonso-Betanzos, Francisco Herrera:
An Information Theoretic Feature Selection Framework for Big Data under Apache Spark. CoRR abs/1610.04154 (2016) - 2015
- [b3]Luis Martínez-López, Rosa M. Rodríguez, Francisco Herrera:
The 2-tuple Linguistic Model - Computing with Words in Decision Making. Springer 2015, ISBN 978-3-319-24712-0, pp. 1-168 - [b2]Salvador García, Julián Luengo, Francisco Herrera:
Data Preprocessing in Data Mining. Intelligent Systems Reference Library 72, Springer 2015, ISBN 978-3-319-10246-7, pp. 1-313 - [j306]Rosana Montes, Ana M. Sánchez, Pedro Villar, Francisco Herrera:
A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets. Appl. Soft Comput. 35: 949-957 (2015) - [j305]Salma Elhag, Alberto Fernández, Abdullah Bawakid, Saleh Alshomrani, Francisco Herrera:
On the combination of genetic fuzzy systems and pairwise learning for improving detection rates on Intrusion Detection Systems. Expert Syst. Appl. 42(1): 193-202 (2015) - [j304]Victoria López, Sara del Río, José Manuel Benítez, Francisco Herrera:
Cost-sensitive linguistic fuzzy rule based classification systems under the MapReduce framework for imbalanced big data. Fuzzy Sets Syst. 258: 5-38 (2015) - [j303]Sara del Río, Victoria López, José Manuel Benítez, Francisco Herrera:
A MapReduce Approach to Address Big Data Classification Problems Based on the Fusion of Linguistic Fuzzy Rules. Int. J. Comput. Intell. Syst. 8(3): 422-437 (2015) - [j302]Ning Xiong, Daniel Molina, Miguel León Ortiz, Francisco Herrera:
A Walk into Metaheuristics for Engineering Optimization: Principles, Methods and Recent Trends. Int. J. Comput. Intell. Syst. 8(4): 606-636 (2015) - [j301]Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera:
MRPR: A MapReduce solution for prototype reduction in big data classification. Neurocomputing 150: 331-345 (2015) - [j300]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
Addressing imbalance in multilabel classification: Measures and random resampling algorithms. Neurocomputing 163: 3-16 (2015) - [j299]José A. Sáez, Julián Luengo, Jerzy Stefanowski, Francisco Herrera:
SMOTE-IPF: Addressing the noisy and borderline examples problem in imbalanced classification by a re-sampling method with filtering. Inf. Sci. 291: 184-203 (2015) - [j298]Yucheng Dong, Cong-Cong Li, Francisco Herrera:
An optimization-based approach to adjusting unbalanced linguistic preference relations to obtain a required consistency level. Inf. Sci. 292: 27-38 (2015) - [j297]Yucheng Dong, Xia Chen, Francisco Herrera:
Minimizing adjusted simple terms in the consensus reaching process with hesitant linguistic assessments in group decision making. Inf. Sci. 297: 95-117 (2015) - [j296]Miguel Lastra, Jesús Carabaño, Pablo David Gutiérrez, José Manuel Benítez, Francisco Herrera:
Fast fingerprint identification using GPUs. Inf. Sci. 301: 195-214 (2015) - [j295]Daniel Peralta, Mikel Galar, Isaac Triguero, Daniel Paternain, Salvador García, Edurne Barrenechea, José Manuel Benítez, Humberto Bustince, Francisco Herrera:
A survey on fingerprint minutiae-based local matching for verification and identification: Taxonomy and experimental evaluation. Inf. Sci. 315: 67-87 (2015) - [j294]Julián Luengo, Francisco Herrera:
An automatic extraction method of the domains of competence for learning classifiers using data complexity measures. Knowl. Inf. Syst. 42(1): 147-180 (2015) - [j293]Isaac Triguero, Salvador García, Francisco Herrera:
Self-labeled techniques for semi-supervised learning: taxonomy, software and empirical study. Knowl. Inf. Syst. 42(2): 245-284 (2015) - [j292]Saleh Alshomrani, Abdullah Bawakid, Seong-O Shim, Alberto Fernández, Francisco Herrera:
A proposal for evolutionary fuzzy systems using feature weighting: Dealing with overlapping in imbalanced datasets. Knowl. Based Syst. 73: 1-17 (2015) - [j291]Alberto Fernández, Victoria López, María José del Jesus, Francisco Herrera:
Revisiting Evolutionary Fuzzy Systems: Taxonomy, applications, new trends and challenges. Knowl. Based Syst. 80: 109-121 (2015) - [j290]Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
A survey of fingerprint classification Part I: Taxonomies on feature extraction methods and learning models. Knowl. Based Syst. 81: 76-97 (2015) - [j289]Mikel Galar, Joaquín Derrac, Daniel Peralta, Isaac Triguero, Daniel Paternain, Carlos Lopez-Molina, Salvador García, José Manuel Benítez, Miguel Pagola, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
A survey of fingerprint classification Part II: Experimental analysis and ensemble proposal. Knowl. Based Syst. 81: 98-116 (2015) - [j288]Isaac Triguero, Sara del Río, Victoria López, Jaume Bacardit, José Manuel Benítez, Francisco Herrera:
ROSEFW-RF: The winner algorithm for the ECBDL'14 big data competition: An extremely imbalanced big data bioinformatics problem. Knowl. Based Syst. 87: 69-79 (2015) - [j287]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
MLSMOTE: Approaching imbalanced multilabel learning through synthetic instance generation. Knowl. Based Syst. 89: 385-397 (2015) - [j286]Luís Paulo F. Garcia, José A. Sáez, Julián Luengo, Ana Carolina Lorena, André C. P. L. F. de Carvalho, Francisco Herrera:
Using the One-vs-One decomposition to improve the performance of class noise filters via an aggregation strategy in multi-class classification problems. Knowl. Based Syst. 90: 153-164 (2015) - [j285]Sergio González, Francisco Herrera, Salvador García:
Monotonic Random Forest with an Ensemble Pruning Mechanism based on the Degree of Monotonicity. New Gener. Comput. 33(4): 367-388 (2015) - [j284]Mikel Galar, Alberto Fernández, Edurne Barrenechea, Francisco Herrera:
DRCW-OVO: Distance-based relative competence weighting combination for One-vs-One strategy in multi-class problems. Pattern Recognit. 48(1): 28-42 (2015) - [j283]Bartosz Krawczyk, Michal Wozniak, Francisco Herrera:
On the usefulness of one-class classifier ensembles for decomposition of multi-class problems. Pattern Recognit. 48(12): 3969-3982 (2015) - [j282]Isaac Triguero, Salvador García, Francisco Herrera:
SEG-SSC: A Framework Based on Synthetic Examples Generation for Self-Labeled Semi-Supervised Classification. IEEE Trans. Cybern. 45(4): 622-634 (2015) - [j281]José Antonio Sanz, Dario Bernardo, Francisco Herrera, Humberto Bustince, Hani Hagras:
A Compact Evolutionary Interval-Valued Fuzzy Rule-Based Classification System for the Modeling and Prediction of Real-World Financial Applications With Imbalanced Data. IEEE Trans. Fuzzy Syst. 23(4): 973-990 (2015) - [j280]Mikel Elkano, Mikel Galar, José Antonio Sanz, Alberto Fernández, Edurne Barrenechea Tartas, Francisco Herrera, Humberto Bustince:
Enhancing Multiclass Classification in FARC-HD Fuzzy Classifier: On the Synergy Between $n$-Dimensional Overlap Functions and Decomposition Strategies. IEEE Trans. Fuzzy Syst. 23(5): 1562-1580 (2015) - [j279]Enislay Ramentol, Sarah Vluymans, Nele Verbiest, Yaile Caballero, Rafael Bello, Chris Cornelis, Francisco Herrera:
IFROWANN: Imbalanced Fuzzy-Rough Ordered Weighted Average Nearest Neighbor Classification. IEEE Trans. Fuzzy Syst. 23(5): 1622-1637 (2015) - [j278]Humberto Bustince Sola, Javier Fernández, Hani Hagras, Francisco Herrera, Miguel Pagola, Edurne Barrenechea:
Interval Type-2 Fuzzy Sets are Generalization of Interval-Valued Fuzzy Sets: Toward a Wider View on Their Relationship. IEEE Trans. Fuzzy Syst. 23(5): 1876-1882 (2015) - [c169]Francisco Herrera, Enrique Herrera-Viedma, Luis Martínez:
Computing with Words for Decision Making Versus Linguistic Decision Making: A Reflection on both Scenarios. A Passion for Fuzzy Sets 2015: 245-260 - [c168]Isaac Triguero, Mikel Galar, Sarah Vluymans, Chris Cornelis, Humberto Bustince, Francisco Herrera, Yvan Saeys:
Evolutionary undersampling for imbalanced big data classification. CEC 2015: 715-722 - [c167]Daniel Molina, Francisco Herrera:
Iterative hybridization of DE with Local Search for the CEC'2015 special session on large scale global optimization. CEC 2015: 1974-1978 - [c166]Mikel Galar, Alberto Fernández, Edurne Barrenechea, Humberto Bustince, Francisco Herrera:
New Ordering-Based Pruning Metrics for Ensembles of Classifiers in Imbalanced Datasets. CORES 2015: 3-15 - [c165]Sergio Ramírez-Gallego, Salvador García, José Manuel Benítez, Francisco Herrera:
A Wrapper Evolutionary Approach for Supervised Multivariate Discretization: A Case Study on Decision Trees. CORES 2015: 47-58 - [c164]Pedro Villar, Alberto Fernández, Francisco Herrera:
On the Combination of Pairwise and Granularity Learning for Improving Fuzzy Rule-Based Classification Systems: GL-FARCHD-OVO. CORES 2015: 135-146 - [c163]Marcelino Lázaro, Francisco Herrera, Aníbal R. Figueiras-Vidal:
Classification of Binary Imbalanced Data Using A Bayesian Ensemble of Bayesian Neural Networks. EANN 2015: 304-314 - [c162]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
QUINTA: A question tagging assistant to improve the answering ratio in electronic forums. EUROCON 2015: 1-6 - [c161]Joaquín Derrac, Francisco Chiclana, Salvador García, Francisco Herrera:
An Interval Valued K-Nearest Neighbors Classifier. IFSA-EUSFLAT 2015 - [c160]Alberto Fernández, Mikel Galar, José Antonio Sanz, Humberto Bustince, Francisco Herrera:
Improving Pairwise Learning Classification in Fuzzy Rule Based Classification Systems Using Dynamic Classifier Selection. IFSA-EUSFLAT 2015 - [c159]Francisco Herrera:
A tour on big data classification: Selected Computational Intelligence approaches. IFSA-EUSFLAT 2015 - [c158]Alberto Fernández, Mikel Galar, José Antonio Sanz, Humberto Bustince, Oscar Cordón, Francisco Herrera:
On the impact of Distance-based Relative Competence Weighting approach in One-vs-One classification for Evolutionary Fuzzy Systems: DRCW-FH-GBML algorithm. FUZZ-IEEE 2015: 1-7 - [c157]Rosa M. Rodríguez, Luis Martínez-López, Francisco Herrera:
A linguistic 2-tuple multicriteria decision making model dealing with hesitant linguistic information. FUZZ-IEEE 2015: 1-7 - [c156]Pedro Villar, Alberto Fernández, Rosana Montes, Ana Maria Sánchez, Francisco Herrera:
Improving the OVO performance in Fuzzy Rule-Based Classification Systems by the genetic learning of the granularity level. FUZZ-IEEE 2015: 1-7 - [c155]Francisco Charte, Antonio Jesús Rivera, María José del Jesus, Francisco Herrera:
Resampling Multilabel Datasets by Decoupling Highly Imbalanced Labels. HAIS 2015: 489-501 - [c154]Alberto Fernández, María José del Jesus, Francisco Herrera:
Addressing Overlapping in Classification with Imbalanced Datasets: A First Multi-objective Approach for Feature and Instance Selection. IDEAL 2015: 36-44 - [c153]Sergio González, Francisco Herrera, Salvador García:
Managing Monotonicity in Classification by a Pruned Random Forest. IDEAL 2015: 53-60 - [c152]Jesús Maillo, Isaac Triguero, Francisco Herrera:
A MapReduce-Based k-Nearest Neighbor Approach for Big Data Classification. TrustCom/BigDataSE/ISPA (2) 2015: 167-172 - [c151]Sara del Río, José Manuel Benítez, Francisco Herrera:
Analysis of Data Preprocessing Increasing the Oversampling Ratio for Extremely Imbalanced Big Data Classification. TrustCom/BigDataSE/ISPA (2) 2015: 180-185 - 2014
- [j277]Nele Verbiest, Enislay Ramentol, Chris Cornelis, Francisco Herrera:
Preprocessing noisy imbalanced datasets using SMOTE enhanced with fuzzy rough prototype selection. Appl. Soft Comput. 22: 511-517 (2014) - [j276]Michela Fazzolari, Rafael Alcalá, Francisco Herrera:
A multi-objective evolutionary method for learning granularities based on fuzzy discretization to improve the accuracy-complexity trade-off of fuzzy rule-based classification systems: D-MOFARC algorithm. Appl. Soft Comput. 24: 470-481 (2014) - [j275]Daniel Peralta, Mikel Galar, Isaac Triguero, Oscar Miguel-Hurtado, José Manuel Benítez, Francisco Herrera:
Minutiae filtering to improve both efficacy and efficiency of fingerprint matching algorithms. Eng. Appl. Artif. Intell. 32: 37-53 (2014) - [j274]Francisco Herrera, Luis Martínez-López, Vicenç Torra, Zeshui Xu:
Hesitant Fuzzy Sets: An Emerging Tool in Decision Making. Int. J. Intell. Syst. 29(6): 493-494 (2014) - [j273]Rosa M. Rodríguez, Luis Martínez-López, Vicenç Torra, Zeshui Xu, Francisco Herrera:
Hesitant Fuzzy Sets: State of the Art and Future Directions. Int. J. Intell. Syst. 29(6): 495-524 (2014) - [j272]Alberto Fernández, Daniel Peralta, José Manuel Benítez, Francisco Herrera:
E-learning and educational data mining in cloud computing: an overview. Int. J. Learn. Technol. 9(1): 25-52 (2014) - [j271]Victoria López, Isaac Triguero, Cristóbal J. Carmona, Salvador García, Francisco Herrera:
Addressing imbalanced classification with instance generation techniques: IPADE-ID. Neurocomputing 126: 15-28 (2014) - [j270]Isaac Triguero, José A. Sáez, Julián Luengo, Salvador García, Francisco Herrera:
On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification. Neurocomputing 132: 30-41 (2014) - [j269]Francisco Herrera:
Information Fusion: Greetings from the new Editor-in-Chief. Inf. Fusion 20: 1 (2014) - [j268]Ivan Palomares, Francisco Javier Estrella, Luis Martínez-López, Francisco Herrera:
Consensus under a fuzzy context: Taxonomy, analysis framework AFRYCA and experimental case of study. Inf. Fusion 20: 252-271 (2014) - [j267]Victoria López, Alberto Fernández, Francisco Herrera:
On the importance of the validation technique for classification with imbalanced datasets: Addressing covariate shift when data is skewed. Inf. Sci. 257: 1-13 (2014) - [j266]Diana Martín Rodríguez, Alejandro Rosete, Jesús Alcalá-Fdez, Francisco Herrera:
QAR-CIP-NSGA-II: A new multi-objective evolutionary algorithm to mine quantitative association rules. Inf. Sci. 258: 1-28 (2014) - [j265]Luis Martínez-López, Francisco Herrera:
Challenges of computing with words in decision making. Inf. Sci. 258: 218-219 (2014) - [j264]Joaquín Derrac, Salvador García, Francisco Herrera:
Fuzzy nearest neighbor algorithms: Taxonomy, experimental analysis and prospects. Inf. Sci. 260: 98-119 (2014) - [j263]Benjamin Lacroix, Daniel Molina, Francisco Herrera:
Region based memetic algorithm for real-parameter optimisation. Inf. Sci. 262: 15-31 (2014) - [j262]Mikel Galar, Alberto Fernández, Edurne Barrenechea, Francisco Herrera:
Empowering difficult classes with a similarity-based aggregation in multi-class classification problems. Inf. Sci. 264: 135-157 (2014) - [j261]María José Gacto, Marta Galende, Rafael Alcalá, Francisco Herrera:
METSK-HDe: A multiobjective evolutionary algorithm to learn accurate TSK-fuzzy systems in high-dimensional and large-scale regression problems. Inf. Sci. 276: 63-79 (2014) - [j260]Francisco Javier Estrella, Macarena Espinilla, Francisco Herrera, Luis Martínez-López:
FLINTSTONES: A fuzzy linguistic decision tools enhancement suite based on the 2-tuple linguistic model and extensions. Inf. Sci. 280: 152-170 (2014) - [j259]Verónica Bolón-Canedo, Noelia Sánchez-Maroño, Amparo Alonso-Betanzos, José Manuel Benítez, Francisco Herrera:
A review of microarray datasets and applied feature selection methods. Inf. Sci. 282: 111-135 (2014) - [j258]Sara del Río, Victoria López, José Manuel Benítez, Francisco Herrera:
On the use of MapReduce for imbalanced big data using Random Forest. Inf. Sci. 285: 112-137 (2014) - [j257]Lala Septem Riza, Andrzej Janusz, Christoph Bergmeir, Chris Cornelis, Francisco Herrera, Dominik Slezak, José Manuel Benítez:
Implementing algorithms of rough set theory and fuzzy rough set theory in the R package "RoughSets". Inf. Sci. 287: 68-89 (2014) - [j256]Joaquín Derrac, Salvador García, Sheldon Hui, Ponnuthurai Nagaratnam Suganthan, Francisco Herrera:
Analyzing convergence performance of evolutionary algorithms: A statistical approach. Inf. Sci. 289: 41-58 (2014) - [j255]José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera:
Analyzing the presence of noise in multi-class problems: alleviating its influence with the One-vs-One decomposition. Knowl. Inf. Syst. 38(1): 179-206 (2014) - [j254]Ivan Palomares, Luis Martínez-López, Francisco Herrera:
MENTOR: A graphical monitoring tool of preferences evolution in large-scale group decision making. Knowl. Based Syst. 58: 66-74 (2014) - [j253]Dánel Sánchez Tarragó, Chris Cornelis, Rafael Bello, Francisco Herrera:
A multi-instance learning wrapper based on the Rocchio classifier for web index recommendation. Knowl. Based Syst. 59: 173-181 (2014) - [j252]Salvador García, Joaquín Derrac, Sergio Ramírez-Gallego, Francisco Herrera:
On the statistical analysis of the parameters' trend in a machine learning algorithm. Prog. Artif. Intell. 3(1): 51-53 (2014) - [j251]Daniel Peralta, Isaac Triguero, Raul Sánchez-Reillo, Francisco Herrera, José Manuel Benítez:
Fast fingerprint identification for large databases. Pattern Recognit. 47(2): 588-602 (2014) - [j250]José A. Sáez, Joaquín Derrac, Julián Luengo, Francisco Herrera:
Statistical computation of feature weighting schemes through data estimation for nearest neighbor classifiers. Pattern Recognit. 47(12): 3941-3948 (2014) - [j249]Nicolás Robinson-García, Daniel Torres-Salinas, Emilio Delgado López-Cózar, Francisco Herrera:
An insight into the importance of national university rankings in an international context: the case of the I-UGR rankings of Spanish universities. Scientometrics 101(2): 1309-1324 (2014) - [j248]Diana Martín Rodríguez, Alejandro Rosete, Jesús Alcalá-Fdez, Francisco Herrera:
A New Multiobjective Evolutionary Algorithm for Mining a Reduced Set of Interesting Positive and Negative Quantitative Association Rules. IEEE Trans. Evol. Comput. 18(1): 54-69 (2014) - [j247]Ivan Palomares, Luis Martínez-López, Francisco Herrera:
A Consensus Model to Detect and Manage Noncooperative Behaviors in Large-Scale Group Decision Making. IEEE Trans. Fuzzy Syst. 22(3): 516-530 (2014) - [j246]Pablo David Gutiérrez, Miguel Lastra, Francisco Herrera, José Manuel Benítez:
A High Performance Fingerprint Matching System for Large Databases Based on GPU. IEEE Trans. Inf. Forensics Secur. 9(1): 62-71 (2014) - [j245]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
LI-MLC: A Label Inference Methodology for Addressing High Dimensionality in the Label Space for Multilabel Classification. IEEE Trans. Neural Networks Learn. Syst. 25(10): 1842-1854 (2014) - [j244]Cristóbal J. Carmona, Pedro González, María José del Jesus, Francisco Herrera:
Overview on evolutionary subgroup discovery: analysis of the suitability and potential of the search performed by evolutionary algorithms. WIREs Data Mining Knowl. Discov. 4(2): 87-103 (2014) - [j243]Alberto Fernández, Sara del Río, Victoria López, Abdullah Bawakid, María José del Jesus, José Manuel Benítez, Francisco Herrera:
Big Data with Cloud Computing: an insight on the computing environment, MapReduce, and programming frameworks. WIREs Data Mining Knowl. Discov. 4(5): 380-409 (2014) - [c150]Bartosz Krawczyk, Isaac Triguero, Salvador García, Michal Wozniak, Francisco Herrera:
A first attempt on evolutionary prototype reduction for nearest neighbor one-class classification. IEEE Congress on Evolutionary Computation 2014: 747-753 - [c149]Daniel Molina, Benjamin Lacroix, Francisco Herrera:
Influence of regions on the memetic algorithm for the CEC'2014 Special Session on Real-Parameter Single Objective Optimisation. IEEE Congress on Evolutionary Computation 2014: 1633-1640 - [c148]Isaac Triguero, Daniel Peralta, Jaume Bacardit, Salvador García, Francisco Herrera:
A combined MapReduce-windowing two-level parallel scheme for evolutionary prototype generation. IEEE Congress on Evolutionary Computation 2014: 3036-3043 - [c147]Bartosz Krawczyk, Michal Wozniak, Francisco Herrera:
Weighted one-class classification for different types of minority class examples in imbalanced data. CIDM 2014: 337-344 - [c146]Mikel Galar, Edurne Barrenechea Tartas, Alberto Fernández, Francisco Herrera:
Enhancing difficult classes in one-vs-one classifier fusion strategy using restricted equivalence functions. FUSION 2014: 1-8 - [c145]Yucheng Dong, Cong-Cong Li, Francisco Herrera:
Connecting the numerical scale model to the unbalanced linguistic term sets. FUZZ-IEEE 2014: 455-462 - [c144]Mikel Galar, José Antonio Sanz, Miguel Pagola, Humberto Bustince Sola, Francisco Herrera:
A preliminary study on fingerprint classification using fuzzy rule-based classification systems. FUZZ-IEEE 2014: 554-560 - [c143]Victoria López, Sara del Río, José Manuel Benítez, Francisco Herrera:
On the use of MapReduce to build linguistic fuzzy rule based classification systems for big data. FUZZ-IEEE 2014: 1905-1912 - [c142]Lala Septem Riza, Christoph Bergmeir, Francisco Herrera, José Manuel Benítez:
Learning from data using the R package "FRBS". FUZZ-IEEE 2014: 2149-2155 - [c141]Pedro Villar, Bartosz Krawczyk, Ana M. Sánchez, Rosana Montes, Francisco Herrera:
Designing a compact Genetic fuzzy rule-based system for one-class classification. FUZZ-IEEE 2014: 2163-2170 - [c140]Francisco Charte, Antonio Jesús Rivera Rivas, María José del Jesus, Francisco Herrera:
Concurrence among Imbalanced Labels and Its Influence on Multilabel Resampling Algorithms. HAIS 2014: 110-121 - [c139]José A. Sáez, Joaquín Derrac, Julián Luengo, Francisco Herrera:
Improving the Behavior of the Nearest Neighbor Classifier against Noisy Data with Feature Weighting Schemes. HAIS 2014: 597-606 - [c138]Francisco Charte, Antonio J. Rivera, María José del Jesus, Francisco Herrera:
MLeNN: A First Approach to Heuristic Multilabel Undersampling. IDEAL 2014: 1-9 - [c137]José A. Sáez, Julián Luengo, Jerzy Stefanowski, Francisco Herrera:
Managing Borderline and Noisy Examples in Imbalanced Classification by Combining SMOTE with Ensemble Filtering. IDEAL 2014: 61-68 - [c136]Mikel Elkano, Mikel Galar, José Antonio Sanz, Edurne Barrenechea, Francisco Herrera, Humberto Bustince:
Improving the Performance of FARC-HD in Multi-class Classification Problems Using the One-Versus-One Strategy and an Adaptation of the Inference System. IPMU (3) 2014: 296-306 - 2013
- [j242]Rosa M. Rodríguez, Luis Martínez-López, Francisco Herrera:
A group decision making model dealing with comparative linguistic expressions based on hesitant fuzzy linguistic term sets. Inf. Sci. 241: 28-42 (2013) - [j241]José A. Sáez, Mikel Galar, Julián Luengo, Francisco Herrera:
Tackling the problem of classification with noisy data using Multiple Classifier Systems: Analysis of the performance and robustness. Inf. Sci. 247: 1-20 (2013) - [j240]Victoria López, Alberto Fernández, Salvador García, Vasile Palade, Francisco Herrera:
An insight into classification with imbalanced data: Empirical results and current trends on using data intrinsic characteristics. Inf. Sci. 250: 113-141 (2013) - [j239]Daniel Torres-Salinas, Nicolás Robinson-García, Evaristo Jiménez-Contreras, Francisco Herrera, Emilio Delgado López-Cózar:
On the use of biplot analysis for multivariate bibliometric and scientific indicators. J. Assoc. Inf. Sci. Technol. 64(7): 1468-1479 (2013) - [j238]Victoria López, Alberto Fernández, María José del Jesus, Francisco Herrera:
A hierarchical genetic fuzzy system based on genetic programming for addressing classification with highly imbalanced and borderline data-sets. Knowl. Based Syst. 38: 85-104 (2013) - [j237]Alberto Fernández, Victoria López, Mikel Galar, María José del Jesus, Francisco Herrera:
Analysing the classification of imbalanced data-sets with multiple classes: Binarization techniques and ad-hoc approaches. Knowl. Based Syst. 42: 97-110 (2013) - [j236]Rafael Alcalá, Yusuke Nojima, Hisao Ishibuchi, Francisco Herrera:
Special Issue on "Evolutionary Fuzzy Systems" EFSs. Knowl. Based Syst. 54: 1-2 (2013) - [j235]Michela Fazzolari, Bruno Giglio, Rafael Alcalá, Francesco Marcelloni, Francisco Herrera:
A study on the application of instance selection techniques in genetic fuzzy rule-based classification systems: Accuracy-complexity trade-off. Knowl. Based Syst. 54: 32-41 (2013) - [j234]José A. Sáez, Julián Luengo, Francisco Herrera:
Predicting noise filtering efficacy with data complexity measures for nearest neighbor classification. Pattern Recognit. 46(1): 355-364 (2013) - [j233]Nele Verbiest, Chris Cornelis, Francisco Herrera:
FRPS: A Fuzzy Rough Prototype Selection method. Pattern Recognit. 46(10): 2770-2782 (2013) - [j232]Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Humberto Bustince Sola, Francisco Herrera:
Dynamic classifier selection for One-vs-One strategy: Avoiding non-competent classifiers. Pattern Recognit. 46(12): 3412-3424 (2013) - [j231]Mikel Galar, Alberto Fernández, Edurne Barrenechea Tartas, Francisco Herrera:
EUSBoost: Enhancing ensembles for highly imbalanced data-sets by evolutionary undersampling. Pattern Recognit. 46(12): 3460-3471 (2013) - [j230]