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ORCIDJosé Antonio Lozano
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- affiliation: University of the Basque Country, Department of Computer Science and Artificial Intelligence
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2020 – today
- 2023
[j148]Abolfazl Shirazi
, Josu Ceberio, José Antonio Lozano:
Trajectory optimization of space vehicle in rendezvous proximity operation with evolutionary feasibility conserving techniques. Eng. Appl. Artif. Intell. 117(Part): 105523 (2023)- [j147]César Montenegro, Roberto Santana, José Antonio Lozano:
Introducing multi-dimensional hierarchical classification: Characterization, solving strategies and performance measures. Neurocomputing 533: 141-160 (2023) - [j146]Jonás Velasco, Salvador Vicencio, José Antonio Lozano, Néstor M. Cid-García:
Delineation of site-specific management zones using estimation of distribution algorithms. Int. Trans. Oper. Res. 30(4): 1703-1729 (2023) - [j145]Onintze Zaballa, Aritz Pérez, Elisa Gómez-Inhiesto, Teresa Acaiturri Ayesta, José Antonio Lozano:
Learning the progression patterns of treatments using a probabilistic generative model. J. Biomed. Informatics 137: 104271 (2023) - [j144]Marco Capó, Aritz Pérez, José Antonio Lozano:
LASSO for streaming data with adaptative filtering. Stat. Comput. 33(1): 5 (2023) - [j143]Ander Carreño, Iñaki Inza, José Antonio Lozano:
SNDProb: A Probabilistic Approach for Streaming Novelty Detection. IEEE Trans. Knowl. Data Eng. 35(6): 6335-6348 (2023) - [i23]Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto:
Uncertainty in Fairness Assessment: Maintaining Stable Conclusions Despite Fluctuations. CoRR abs/2302.01079 (2023) - [i22]Roberto Santana, Ivan Hidalgo-Cenalmor, Unai Garciarena, Alexander Mendiburu, José Antonio Lozano:
Neuroevolutionary algorithms driven by neuron coverage metrics for semi-supervised classification. CoRR abs/2303.02801 (2023) - 2022
- [j142]Josu Ircio, Aizea Lojo, José Antonio Lozano, Usue Mori:
A Multivariate Time Series Streaming Classifier for Predicting Hard Drive Failures [Application Notes]. IEEE Comput. Intell. Mag. 17(1): 102-114 (2022) - [j141]Ane Blázquez-García, Angel Conde, Usue Mori, José Antonio Lozano:
A Review on Outlier/Anomaly Detection in Time Series Data. ACM Comput. Surv. 54(3): 56:1-56:33 (2022) - [j140]Jon Vadillo, Roberto Santana, José Antonio Lozano:
Analysis of dominant classes in universal adversarial perturbations. Knowl. Based Syst. 236: 107719 (2022) - [j139]Amaia Abanda, Usue Mori, José Antonio Lozano:
Ad-hoc explanation for time series classification. Knowl. Based Syst. 252: 109366 (2022) - [j138]Imanol Unanue, María Merino, José Antonio Lozano:
A mathematical analysis of EDAs with distance-based exponential models. Memetic Comput. 14(3): 305-334 (2022) - [j137]Izaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano:
An active adaptation strategy for streaming time series classification based on elastic similarity measures. Neural Comput. Appl. 34(16): 13237-13252 (2022) - [j136]Amaia Abanda, Usue Mori, José Antonio Lozano:
Time series classifier recommendation by a meta-learning approach. Pattern Recognit. 128: 108671 (2022) - [j135]Abolfazl Shirazi, Josu Ceberio, José Antonio Lozano:
EDA++: Estimation of Distribution Algorithms With Feasibility Conserving Mechanisms for Constrained Continuous Optimization. IEEE Trans. Evol. Comput. 26(5): 1144-1156 (2022) - [j134]Jairo Rojas-Delgado, Josu Ceberio, Borja Calvo, José Antonio Lozano:
Bayesian Performance Analysis for Algorithm Ranking Comparison. IEEE Trans. Evol. Comput. 26(6): 1281-1292 (2022) - [j133]Marco Capó, Aritz Pérez, José Antonio Lozano:
An Efficient Split-Merge Re-Start for the $K$K-Means Algorithm. IEEE Trans. Knowl. Data Eng. 34(4): 1618-1627 (2022) - [c105]Mario Martínez-García, Susana García-Gutierrez, Rubén Armañanzas, Adrián Díaz, Iñaki Inza, José Antonio Lozano:
Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization. AIME 2022: 332-342 - [c104]Jairo Rojas-Delgado, J. A. Jiménez, Rafael Bello, José Antonio Lozano:
Hyper-parameter Optimization Using Continuation Algorithms. MIC 2022: 365-377 - [c103]Anne Elorza, Leticia Hernando, José Antonio Lozano:
Transitions from P to NP-hardness: the case of the Linear Ordering Problem. CEC 2022: 1-8 - [c102]Verónica Álvarez, Santiago Mazuelas, José Antonio Lozano:
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees. ICML 2022: 486-499 - [c101]Gia Sirbiladze, Janusz Kacprzyk, José Antonio Lozano, Bezhan Ghvaberidze, Bidzina Midodashvili, Bidzina Matsaberidze:
Fuzzy Approach for the Temporary Logistics Hubs' Selection Planning in Disaster Region. IS 2022: 1-5 - [c100]Gia Sirbiladze, Janusz Kacprzyk, José Antonio Lozano, Bezhan Ghvaberidze, Bidzina Midodashvili, Bidzina Matsaberidze:
Fuzzy Model of Humanitarian Relief Logistics for the Shelters' Location in the Disaster Region and Evacuation of Population. IS 2022: 1-5 - [c99]Gia Sirbiladze, Janusz Kacprzyk, José Antonio Lozano, Bezhan Ghvaberidze, Bidzina Midodashvili, Bidzina Matsaberidze:
Fuzzy Approach to Planning of Service Centers Location and Goods Transportation Routes in the Disaster Region. IS 2022: 1-5 - [i21]Anne Elorza, Leticia Hernando, José Antonio Lozano:
Transitions from P to NP-hardness: the case of the Linear Ordering Problem. CoRR abs/2205.12943 (2022) - [i20]Verónica Álvarez, Santiago Mazuelas, José Antonio Lozano:
Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees. CoRR abs/2205.15942 (2022) - [i19]Ainhize Barrainkua, Paula Gordaliza, José Antonio Lozano, Novi Quadrianto:
A Survey on Preserving Fairness Guarantees in Changing Environments. CoRR abs/2211.07530 (2022) - 2021
- [j132]Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolution of Gaussian Process kernels for machine translation post-editing effort estimation. Ann. Math. Artif. Intell. 89(8-9): 835-856 (2021) - [j131]Gorka Kobeaga, María Merino, José Antonio Lozano:
On solving cycle problems with Branch-and-Cut: extending shrinking and exact subcycle elimination separation algorithms. Ann. Oper. Res. 305(1): 107-136 (2021) - [j130]César Montenegro, Roberto Santana, José Antonio Lozano:
Analysis of the sensitivity of the End-Of-Turn Detection task to errors generated by the Automatic Speech Recognition process. Eng. Appl. Artif. Intell. 100: 104189 (2021) - [j129]Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving Gaussian process kernels from elementary mathematical expressions for time series extrapolation. Neurocomputing 462: 426-439 (2021) - [j128]Ane Blázquez-García, Angel Conde, Usue Mori, José Antonio Lozano:
Water leak detection using self-supervised time series classification. Inf. Sci. 574: 528-541 (2021) - [j127]Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
In-depth analysis of SVM kernel learning and its components. Neural Comput. Appl. 33(12): 6575-6594 (2021) - [j126]Javier Moreno, Daniel Rodríguez, Antonio J. Nebro, José Antonio Lozano:
Merge Nondominated Sorting Algorithm for Many-Objective Optimization. IEEE Trans. Cybern. 51(12): 6154-6164 (2021) - [j125]Marco Capó, Aritz Pérez, José Antonio Lozano:
A Cheap Feature Selection Approach for the K-Means Algorithm. IEEE Trans. Neural Networks Learn. Syst. 32(5): 2195-2208 (2021) - [c98]Imanol Unanue, María Merino, José Antonio Lozano:
A General Framework Based on Walsh Decomposition for Combinatorial Optimization Problems. CEC 2021: 391-398 - [c97]Javier Mikel Olaso, Alain Vázquez, Leila Ben Letaifa, Mikel de Velasco, Aymen Mtibaa, Mohamed Amine Hmani, Dijana Petrovska-Delacrétaz, Gérard Chollet, César Montenegro, Asier López-Zorrilla, Raquel Justo, Roberto Santana, Jofre Tenorio-Laranga, Eduardo González-Fraile, Begoña Fernández-Ruanova, Gennaro Cordasco, Anna Esposito, Kristin Beck Gjellesvik, Anna Torp Johansen, Maria Stylianou Korsnes, Colin Pickard, Cornelius Glackin, Gary Cahalane, Pau Buch-Cardona, Cristina Palmero, Sergio Escalera, Olga Gordeeva, Olivier Deroo, Anaïs Fernández, Daria Kyslitska, José Antonio Lozano, María Inés Torres, Stephan Schlögl:
The EMPATHIC Virtual Coach: a demo. ICMI 2021: 848-851 - [e10]Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part I. Lecture Notes in Computer Science 12975, Springer 2021, ISBN 978-3-030-86485-9 [contents] - [e9]Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part II. Lecture Notes in Computer Science 12976, Springer 2021, ISBN 978-3-030-86519-1 [contents] - [e8]Nuria Oliver, Fernando Pérez-Cruz, Stefan Kramer, Jesse Read, José Antonio Lozano:
Machine Learning and Knowledge Discovery in Databases. Research Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part III. Lecture Notes in Computer Science 12977, Springer 2021, ISBN 978-3-030-86522-1 [contents] - [e7]Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part IV. Lecture Notes in Computer Science 12978, Springer 2021, ISBN 978-3-030-86513-9 [contents] - [e6]Yuxiao Dong, Nicolas Kourtellis, Barbara Hammer, José Antonio Lozano:
Machine Learning and Knowledge Discovery in Databases. Applied Data Science Track - European Conference, ECML PKDD 2021, Bilbao, Spain, September 13-17, 2021, Proceedings, Part V. Lecture Notes in Computer Science 12979, Springer 2021, ISBN 978-3-030-86516-0 [contents] - [i18]M. Inés Torres, Javier Mikel Olaso, César Montenegro, Roberto Santana, Alain Vázquez, Raquel Justo, José Antonio Lozano, Stephan Schlögl, Gérard Chollet, Nazim Dugan, M. Irvine, Neil Glackin, Colin Pickard, Anna Esposito, Gennaro Cordasco, Alda Troncone, Dijana Petrovska-Delacrétaz, Aymen Mtibaa, Mohamed Amine Hmani, Maria Stylianou Korsnes, L. J. Martinussen, Sergio Escalera, Cristina Palmero Cantariño, Olivier Deroo, Olga Gordeeva, Jofre Tenorio-Laranga, Eduardo Gonzalez-Fraile, Begonya Fernandez-Ruanova, A. Gonzalez-Pinto:
The EMPATHIC Project: Mid-term Achievements. CoRR abs/2105.01878 (2021) - [i17]Jon Vadillo, Roberto Santana, José Antonio Lozano:
When and How to Fool Explainable Models (and Humans) with Adversarial Examples. CoRR abs/2107.01943 (2021) - 2020
- [j124]Ander Carreño, Iñaki Inza, José Antonio Lozano:
Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework. Artif. Intell. Rev. 53(5): 3575-3594 (2020) - [j123]Marco Capó, Aritz Pérez, José Antonio Lozano:
An efficient K-means clustering algorithm for tall data. Data Min. Knowl. Discov. 34(3): 776-811 (2020) - [j122]Izaskun Oregi, Javier Del Ser, Aritz Pérez, José Antonio Lozano:
Robust image classification against adversarial attacks using elastic similarity measures between edge count sequences. Neural Networks 128: 61-72 (2020) - [j121]Josu Ircio, Aizea Lojo, Usue Mori, José Antonio Lozano:
Mutual information based feature subset selection in multivariate time series classification. Pattern Recognit. 108: 107525 (2020) - [c96]Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Journey to the center of the linear ordering problem. GECCO 2020: 201-209 - [c95]César Montenegro, Roberto Santana, José Antonio Lozano:
Transfer learning in hierarchical dialogue topic classification with neural networks*. IJCNN 2020: 1-8 - [c94]Jon Vadillo, Roberto Santana, José Antonio Lozano:
Exploring Gaps in DeepFool in Search of More Effective Adversarial Perturbations. LOD (2) 2020: 215-227 - [i16]Ane Blázquez-García, Angel Conde, Usue Mori, José Antonio Lozano:
A review on outlier/anomaly detection in time series data. CoRR abs/2002.04236 (2020) - [i15]Jon Vadillo, Roberto Santana, José Antonio Lozano:
Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions. CoRR abs/2004.06383 (2020) - [i14]Gorka Kobeaga, María Merino, José Antonio Lozano:
On Solving Cycle Problems with Branch-and-Cut: Extending Shrinking and Exact Subcycle Elimination Separation Algorithms. CoRR abs/2004.14574 (2020) - [i13]Gorka Kobeaga, María Merino, José Antonio Lozano:
A revisited branch-and-cut algorithm for large-scale orienteering problems. CoRR abs/2011.02743 (2020) - [i12]Verónica Álvarez, Santiago Mazuelas, José Antonio Lozano:
Probabilistic Load Forecasting Based on Adaptive Online Learning. CoRR abs/2011.14721 (2020) - [i11]Jon Vadillo, Roberto Santana, José Antonio Lozano:
Analysis of Dominant Classes in Universal Adversarial Perturbations. CoRR abs/2012.14352 (2020)
2010 – 2019
- 2019
- [j120]Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
An Experimental Study in Adaptive Kernel Selection for Bayesian Optimization. IEEE Access 7: 184294-184302 (2019) - [j119]Amaia Abanda, Usue Mori, José Antonio Lozano:
A review on distance based time series classification. Data Min. Knowl. Discov. 33(2): 378-412 (2019) - [j118]Josu Ceberio, Borja Calvo, Alexander Mendiburu, José Antonio Lozano:
Multi-Objectivising Combinatorial Optimisation Problems by Means of Elementary Landscape Decompositions. Evol. Comput. 27(2): 291-311 (2019) - [j117]Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Anatomy of the Attraction Basins: Breaking with the Intuition. Evol. Comput. 27(3): 435-466 (2019) - [j116]Jerónimo Hernández-González, Iñaki Inza, Igor Granado, Oihane C. Basurko, Jose A. Fernandes, José Antonio Lozano:
Aggregated outputs by linear models: An application on marine litter beaching prediction. Inf. Sci. 481: 381-393 (2019) - [j115]Usue Mori, Alexander Mendiburu, Isabel Marta Miranda, José Antonio Lozano:
Early classification of time series using multi-objective optimization techniques. Inf. Sci. 492: 204-218 (2019) - [j114]Diana Carrera, Lourenço P. C. Bandeira, Roberto Santana, José Antonio Lozano:
Detection of sand dunes on Mars using a regular vine-based classification approach. Knowl. Based Syst. 163: 858-874 (2019) - [j113]César Montenegro, Asier López-Zorrilla, Javier Mikel Olaso, Roberto Santana, Raquel Justo, José Antonio Lozano, María Inés Torres:
A Dialogue-Act Taxonomy for a Virtual Coach Designed to Improve the Life of Elderly. Multimodal Technol. Interact. 3(3): 52 (2019) - [j112]José Antonio Lozano, Ke Tang, Xin Yao:
Preface. Nat. Comput. 18(2): 285-286 (2019) - [j111]Izaskun Oregi, Aritz Pérez, Javier Del Ser, José Antonio Lozano:
On-line Elastic Similarity Measures for time series. Pattern Recognit. 88: 506-517 (2019) - [j110]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators. IEEE Trans. Knowl. Data Eng. 31(1): 195-200 (2019) - [c93]Erik Garcia, Josu Ceberio, José Antonio Lozano:
Hybrid Heuristics for the Linear Ordering Problem. CEC 2019: 1431-1438 - [c92]Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Characterising the rankings produced by combinatorial optimisation problems and finding their intersections. GECCO 2019: 266-273 - [c91]Imanol Unanue, María Merino, José Antonio Lozano:
A mathematical analysis of EDAs with distance-based exponential models. GECCO (Companion) 2019: 429-430 - [c90]Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Sentiment analysis with genetically evolved gaussian kernels. GECCO 2019: 1328-1337 - [c89]Borja Calvo, Ofer M. Shir, Josu Ceberio, Carola Doerr, Hao Wang, Thomas Bäck, José Antonio Lozano:
Bayesian performance analysis for black-box optimization benchmarking. GECCO (Companion) 2019: 1789-1797 - [c88]Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving Gaussian Process Kernels for Translation Editing Effort Estimation. LION 2019: 304-318 - [c87]Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Bayesian Optimization Approaches for Massively Multi-modal Problems. LION 2019: 383-397 - [c86]César Montenegro, Roberto Santana, José Antonio Lozano:
Data generation approaches for topic classification in multilingual spoken dialog systems. PETRA 2019: 211-217 - [c85]María Inés Torres, Javier Mikel Olaso, César Montenegro, Roberto Santana, Alain Vázquez, Raquel Justo, José Antonio Lozano, Stephan Schlögl, Gérard Chollet, Nazim Dugan, M. Irvine, Neil Glackin, Colin Pickard, Anna Esposito, Gennaro Cordasco, Alda Troncone, Dijana Petrovska-Delacrétaz, Aymen Mtibaa, Mohamed Amine Hmani, Maria Stylianou Korsnes, L. J. Martinussen, Sergio Escalera, Cristina Palmero Cantariño, Olivier Deroo, Olga Gordeeva, Jofre Tenorio-Laranga, Eduardo Gonzalez-Fraile, Begoñya Fernández-Ruanova, A. Gonzalez-Pinto:
The EMPATHIC project: mid-term achievements. PETRA 2019: 629-638 - [i10]Ibai Roman, Alexander Mendiburu, Roberto Santana, José Antonio Lozano:
Sentiment analysis with genetically evolved Gaussian kernels. CoRR abs/1904.00977 (2019) - [i9]Anne Elorza, Leticia Hernando, José Antonio Lozano:
Taxonomization of Combinatorial Optimization Problems in Fourier Space. CoRR abs/1905.10852 (2019) - [i8]Ibai Roman, Roberto Santana, Alexander Mendiburu, José Antonio Lozano:
Evolving Gaussian Process kernels from elementary mathematical expressions. CoRR abs/1910.05173 (2019) - 2018
- [j109]Jesús Félez, Carlos García Sánchez, José Antonio Lozano:
Control Design for an Articulated Truck With Autonomous Driving in an Electrified Highway. IEEE Access 6: 60171-60186 (2018) - [j108]Jerónimo Hernández-González, Daniel Rodríguez, Iñaki Inza, Rachel Harrison, José Antonio Lozano:
Learning to classify software defects from crowds: A novel approach. Appl. Soft Comput. 62: 579-591 (2018) - [j107]Gorka Kobeaga, María Merino, José Antonio Lozano:
An efficient evolutionary algorithm for the orienteering problem. Comput. Oper. Res. 90: 42-59 (2018) - [j106]Pablo Rozas Larraondo, Iñaki Inza, José Antonio Lozano:
A system for airport weather forecasting based on circular regression trees. Environ. Model. Softw. 100: 24-32 (2018) - [j105]Pedro Pinacho Davidson, Christian Blum, José Antonio Lozano:
The weighted independent domination problem: Integer linear programming models and metaheuristic approaches. Eur. J. Oper. Res. 265(3): 860-871 (2018) - [j104]Jose Antonio Pascual, José Antonio Lozano, José Miguel-Alonso:
Effects of Reducing VMs Management Times on Elastic Applications. J. Grid Comput. 16(3): 513-530 (2018) - [j103]Anne Elorza, Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Estimating attraction basin sizes of combinatorial optimization problems. Prog. Artif. Intell. 7(4): 369-384 (2018) - [j102]Usue Mori, Alexander Mendiburu, Sanjoy Dasgupta, José Antonio Lozano:
Early Classification of Time Series by Simultaneously Optimizing the Accuracy and Earliness. IEEE Trans. Neural Networks Learn. Syst. 29(10): 4569-4578 (2018) - [c84]Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
Distance-Based Exponential Probability Models for Constrained Combinatorial Problems. CAEPIA 2018: 187-197 - [c83]Leticia Hernando, Alexander Mendiburu, José Antonio Lozano:
Hill-Climbing Algorithm: Let's Go for a Walk Before Finding the Optimum. CEC 2018: 1-7 - [c82]Aritz Pérez, Josu Ceberio, José Antonio Lozano:
Are the Artificially Generated Instances Uniform in Terms of Difficulty? CEC 2018: 1-8 - [c81]Josu Ceberio, Alexander Mendiburu, José Antonio Lozano:
Distance-based exponential probability models on constrained combinatorial optimization problems. GECCO (Companion) 2018: 137-138 - [c80]Borja Calvo, Josu Ceberio, José Antonio Lozano:
Bayesian inference for algorithm ranking analysis. GECCO (Companion) 2018: 324-325 - [c79]Izaskun Oregi, Javier Del Ser, Aritz Pérez, José Antonio Lozano:
Adversarial Sample Crafting for Time Series Classification with Elastic Similarity Measures. IDC 2018: 26-39 - [c78]Diana Carrera, Roberto Santana, José Antonio Lozano:
The Relationship Between Graphical Representations of Regular Vine Copulas and Polytrees. IPMU (3) 2018: 678-690 - [c77]Aritz Pérez, Christian Blum, José Antonio Lozano:
Approximating the maximum weighted decomposable graph problem with applications to probabilistic graphical models. PGM 2018: 320-331 - [r1]Rafael Martí, José Antonio Lozano, Alexander Mendiburu, Leticia Hernando:
Multi-start Methods. Handbook of Heuristics 2018: 155-175 - [i7]Marco Capó, Aritz Pérez, José Antonio Lozano:
An efficient K -means clustering algorithm for massive data. CoRR abs/1801.02949 (2018) - [i6]Amaia Abanda, Usue Mori, José Antonio Lozano:
A review on distance based time series classification. CoRR abs/1806.04509 (2018) - [i5]Javier Moreno, Daniel Rodríguez, Antonio J. Nebro, José Antonio Lozano:
Merge Non-Dominated Sorting Algorithm for Many-Objective Optimization. CoRR abs/1809.06106 (2018) - 2017
- [j101]José Antonio Lozano:
Conference Report on 2017 IEEE Congress on Evolutionary Computation (IEEE CEC 2017) [Conference Reports]. IEEE Comput. Intell. Mag. 12(4): 5-6 (2017) - [j100]Usue Mori, Alexander Mendiburu, Eamonn J. Keogh, José Antonio Lozano:
Reliable early classification of time series based on discriminating the classes over time. Data Min. Knowl. Discov. 31(1): 233-263 (2017) - [j99]Jerónimo Hernández-González, Iñaki Inza, José Antonio Lozano:
Learning from Proportions of Positive and Unlabeled Examples. Int. J. Intell. Syst. 32(2): 109-133 (2017) - [j98]Marco Capó, Aritz Pérez, José Antonio Lozano:
An efficient approximation to the K-means clustering for massive data. Knowl. Based Syst. 117: 56-69 (2017) - [j97]Olacir R. Castro Jr., Aurora T. R. Pozo, José Antonio Lozano, Roberto Santana:
Transfer weight functions for injecting problem information in the multi-objective CMA-ES. Memetic Comput. 9(2): 153-180 (2017) - [j96]Jonathan Ortigosa-Hernández, Iñaki Inza, José Antonio Lozano:
Measuring the class-imbalance extent of multi-class problems. Pattern Recognit. Lett. 98: 32-38 (2017) - [j95]Olacir R. Castro Jr., Aurora T. R. Pozo, José Antonio Lozano, Roberto Santana:
An investigation of clustering strategies in many-objective optimization: the I-Multi algorithm as a case study. Swarm Intell. 11(2): 101-130 (2017) - [j94]Haibo He, Robert Haas, Jun Fu, Barbara Hammer, Daniel W. C. Ho, Fakhri Karray, Dhireesha Kudithipudi, José Antonio Lozano, Teresa Bernarda Ludermir, Jacek Mandziuk, Stefano Melacci, Antonio Paiva, Hong Qiao, Alain Rakotomamonjy, Shiliang Sun, Johan A. K. Suykens, Meng Wang:
Editorial: A Successful Year and Looking Forward to 2017 and Beyond. IEEE Trans. Neural Networks Learn. Syst. 28(1): 2-7 (2017) - [c76]Olacir R. Castro Jr., Roberto Santana, José Antonio Lozano, Aurora T. R. Pozo:
Combining CMA-ES and MOEA/DD for many-objective optimization. CEC 2017: 1451-1458 - [c75]