default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDPlamen Angelov 0001
Plamen P. Angelov – Plamen Parvanov Angelov
Person information
- affiliation: Lancaster University, School of Computing and Communications, Lancaster, UK
Other persons with the same name
- Plamen Angelov 0002
![[0000-0002-3625-9933]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0002-3625-9933")
— University of Plovidv P. Hilendarski, Faculty of Chemistry, Bulgaria
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j104]Eduardo A. Soares, Plamen Angelov, Sarah Biaso, Marcelo Cury, Daniel Abe:
A large multiclass dataset of CT scans for COVID-19 identification. Evol. Syst. 15(2): 635-640 (2024)- [j103]Zheheng Jiang, Hossein Rahmani, Plamen Angelov, Ritesh Vyas, Huiyu Zhou, Sue Black, Bryan M. Williams:
Deep orientated distance-transform network for geometric-aware centerline detection. Pattern Recognit. 146: 110028 (2024) - [j102]Ao Shen, Yijie Zhu, Plamen Angelov, Richard Jiang:
Marine Debris Detection in Satellite Surveillance Using Attention Mechanisms. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 17: 4320-4330 (2024) - [j101]Xiaowei Gu, Plamen P. Angelov, Qiang Shen:
Semisupervised Fuzzily Weighted Adaptive Boosting for Classification. IEEE Trans. Fuzzy Syst. 32(4): 2318-2330 (2024) - [c127]Alvaro Lopez Pellcier, Yi Li, Plamen Angelov:
PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection. CVPR Workshops 2024: 3809-3817 - [c126]Agil Aghasanli, Plamen Angelov:
Edge Implementation of Unsupervised Self-evolving Vision Classifier. EAIS 2024: 1-8 - [c125]Yi Li, Plamen Angelov, Zhengxin Yu, Alvaro Lopez Pellicer, Neeraj Suri:
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. ICANN (6) 2024: 159-173 - [c124]Yi Li, Plamen Angelov, Neeraj Suri:
Rethinking Self-supervised Learning for Cross-domain Adversarial Sample Recovery. IJCNN 2024: 1-7 - [c123]Alvaro Lopez Pellicer, Kittipos Giatgong, Yi Li, Neeraj Suri, Plamen Angelov:
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification. IJCNN 2024: 1-8 - [i18]Dmitry Kangin, Plamen Angelov:
Unsupervised Domain Adaptation within Deep Foundation Latent Spaces. CoRR abs/2402.14976 (2024) - [i17]Ziyang Zhang, Plamen Angelov, Dmitry Kangin, Nicolas Longépé:
IMAFD: An Interpretable Multi-stage Approach to Flood Detection from time series Multispectral Data. CoRR abs/2405.07916 (2024) - [i16]Alvaro Lopez Pellcier, Yi Li, Plamen Angelov:
PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection. CoRR abs/2406.15921 (2024) - [i15]Yi Li, Plamen Angelov, Zhengxin Yu, Alvaro Lopez Pellicer, Neeraj Suri:
Federated Adversarial Learning for Robust Autonomous Landing Runway Detection. CoRR abs/2406.15925 (2024) - [i14]Alvaro Lopez Pellicer, Kittipos Giatgong, Yi Li, Neeraj Suri, Plamen Angelov:
UNICAD: A Unified Approach for Attack Detection, Noise Reduction and Novel Class Identification. CoRR abs/2406.16501 (2024) - [i13]Yi Li, Plamen Angelov, Neeraj Suri:
Self-Supervised Representation Learning for Adversarial Attack Detection. CoRR abs/2407.04382 (2024) - 2023
- [j100]Xiaowei Gu, Jungong Han, Qiang Shen, Plamen P. Angelov:
Autonomous learning for fuzzy systems: a review. Artif. Intell. Rev. 56(8): 7549-7595 (2023) - [j99]Plamen Angelov, Dimitar P. Filev, Nikola K. Kasabov, Daniel Leite, Maharadhika Pratama, Susanne Saminger-Platz, Erich-Peter Klement:
Obituary Edwin Lughofer (1972-2023). Evol. Syst. 14(5): 747-748 (2023) - [j98]Nicholas I. Arnold, Plamen Angelov, Peter M. Atkinson:
An Improved Explainable Point Cloud Classifier (XPCC). IEEE Trans. Artif. Intell. 4(1): 71-80 (2023) - [j97]Ziping Jiang, Yunpeng Wang, Chang-Tsun Li, Plamen Angelov, Richard Jiang:
Delve Into Neural Activations: Toward Understanding Dying Neurons. IEEE Trans. Artif. Intell. 4(4): 959-971 (2023) - [j96]Xiaowei Gu, Plamen Angelov, Jungong Han, Qiang Shen:
Multilayer Evolving Fuzzy Neural Networks. IEEE Trans. Fuzzy Syst. 31(12): 4158-4169 (2023) - [c122]Matheus Aparecido do Carmo Alves, Elnaz Shafipour Yourdshahi, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov:
On-line Estimators for Ad-hoc Task Execution: Learning Types and Parameters of Teammates for Effective Teamwork. AAMAS 2023: 140-142 - [c121]Agil Aghasanli, Dmitry Kangin, Plamen Angelov:
Interpretable-through-prototypes deepfake detection for diffusion models. ICCV (Workshops) 2023: 467-474 - [c120]Yi Li, Plamen Angelov, Neeraj Suri:
Domain Generalization and Feature Fusion for Cross-domain Imperceptible Adversarial Attack Detection. IJCNN 2023: 1-8 - [c119]Yi Li, Plamen Angelov, Neeraj Suri:
Fuzzy Detectors Against Adversarial Attacks. SSCI 2023: 306-311 - [e25]Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14254, Springer 2023, ISBN 978-3-031-44206-3 [contents] - [e24]Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part II. Lecture Notes in Computer Science 14255, Springer 2023, ISBN 978-3-031-44209-4 [contents] - [e23]Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part III. Lecture Notes in Computer Science 14256, Springer 2023, ISBN 978-3-031-44212-4 [contents] - [e22]Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part IV. Lecture Notes in Computer Science 14257, Springer 2023, ISBN 978-3-031-44215-5 [contents] - [e21]Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part V. Lecture Notes in Computer Science 14258, Springer 2023, ISBN 978-3-031-44191-2 [contents] - [e20]Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VI. Lecture Notes in Computer Science 14259, Springer 2023, ISBN 978-3-031-44223-0 [contents] - [e19]Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VII. Lecture Notes in Computer Science 14260, Springer 2023, ISBN 978-3-031-44194-3 [contents] - [e18]Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part VIII. Lecture Notes in Computer Science 14261, Springer 2023, ISBN 978-3-031-44197-4 [contents] - [e17]Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023 - 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part IX. Lecture Notes in Computer Science 14262, Springer 2023, ISBN 978-3-031-44200-1 [contents] - [e16]Lazaros Iliadis, Antonios Papaleonidas, Plamen Angelov, Chrisina Jayne:
Artificial Neural Networks and Machine Learning - ICANN 2023: 32nd International Conference on Artificial Neural Networks, Heraklion, Crete, Greece, September 26-29, 2023, Proceedings, Part X. Lecture Notes in Computer Science 14263, Springer 2023, ISBN 978-3-031-44203-2 [contents] - [i12]Plamen Angelov, Dmitry Kangin, Ziyang Zhang:
Towards interpretable-by-design deep learning algorithms. CoRR abs/2311.11396 (2023) - 2022
- [j95]Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Amokh Varma, Leandro Soriano Marcolino, Jó Ueyama, Plamen Angelov:
On-line estimators for ad-hoc task execution: learning types and parameters of teammates for effective teamwork. Auton. Agents Multi Agent Syst. 36(2): 45 (2022) - [j94]Zhao-Xu Yang, Hai-Jun Rong, Pak Kin Wong, Plamen Angelov, Chi-Man Vong, Chi-Chong Chiu, Zhi-Xin Yang:
A Novel Multiple Feature-Based Engine Knock Detection System using Sparse Bayesian Extreme Learning Machine. Cogn. Comput. 14(2): 828-851 (2022) - [j93]Mona Alghamdi, Plamen Angelov, Lopez Pellicer Alvaro:
Person identification from fingernails and knuckles images using deep learning features and the Bray-Curtis similarity measure. Neurocomputing 513: 83-93 (2022) - [j92]Xiaowei Gu, Ce Zhang, Qiang Shen, Jungong Han, Plamen P. Angelov, Peter M. Atkinson:
A Self-Training Hierarchical Prototype-based Ensemble Framework for Remote Sensing Scene Classification. Inf. Fusion 80: 179-204 (2022) - [j91]Mahardhika Pratama, Edwin Lughofer, Plamen P. Angelov:
Editorial: Special issue on recent progress in autonomous machine learning. Inf. Sci. 595: 195-196 (2022) - [j90]Xiaowei Gu, Plamen P. Angelov, Ce Zhang, Peter M. Atkinson:
A Semi-Supervised Deep Rule-Based Approach for Complex Satellite Sensor Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(5): 2281-2292 (2022) - [j89]Ritesh Vyas, Bryan M. Williams, Hossein Rahmani, Ricki Boswell-Challand, Zheheng Jiang, Plamen Angelov, Sue Black:
Ensemble-Based Bounding Box Regression for Enhanced Knuckle Localization. Sensors 22(4): 1569 (2022) - [j88]Zhao-Xu Yang, Hai-Jun Rong, Plamen Angelov, Zhi-Xin Yang:
Statistically Evolving Fuzzy Inference System for Non-Gaussian Noises. IEEE Trans. Fuzzy Syst. 30(7): 2649-2664 (2022) - [j87]Xiaowei Gu, Plamen P. Angelov:
Multiclass Fuzzily Weighted Adaptive-Boosting-Based Self-Organizing Fuzzy Inference Ensemble Systems for Classification. IEEE Trans. Fuzzy Syst. 30(9): 3722-3735 (2022) - [j86]Xiaowei Gu, Plamen P. Angelov, Qiang Shen:
Self-Organizing Fuzzy Belief Inference System for Classification. IEEE Trans. Fuzzy Syst. 30(12): 5473-5483 (2022) - [c118]Zheheng Jiang, Hossein Rahmani, Plamen Angelov, Sue Black, Bryan M. Williams:
Graph-context Attention Networks for Size-varied Deep Graph Matching. CVPR 2022: 2333-2342 - [c117]Nathanael L. Baisa, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black:
Multi-Branch with Attention Network for Hand-Based Person Recognition. ICPR 2022: 727-732 - [c116]Nathanael L. Baisa, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black:
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning. IPTA 2022: 1-6 - [c115]Ziyang Zhang, Plamen Angelov, Eduardo Soares, Nicolas Longépé, Pierre-Philippe Mathieu:
An Interpretable Deep Semantic Segmentation Method for Earth Observation. IS 2022: 1-8 - [c114]Zhengxin Yu, Yang Lu, Plamen Angelov, Neeraj Suri:
PPFM: An Adaptive and Hierarchical Peer-to-Peer Federated Meta-Learning Framework. MSN 2022: 502-509 - [c113]Eduardo A. Soares, Plamen Angelov, Neeraj Suri:
Similarity-based Deep Neural Network to Detect Imperceptible Adversarial Attacks. SSCI 2022: 1028-1035 - [e15]Plamen Angelov, George A. Papadopoulos, Giovanna Castellano, José A. Iglesias, Gabriella Casalino, Edwin Lughofer, Daniel Leite:
IEEE International Conference on Evolving and Adaptive Intelligent System, EAIS 2022, Larnaca, Cyprus, May 25-26, 2022. IEEE 2022, ISBN 978-1-6654-3706-6 [contents] - [e14]Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin:
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part I. Lecture Notes in Computer Science 13529, Springer 2022, ISBN 978-3-031-15918-3 [contents] - [e13]Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin:
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part II. Lecture Notes in Computer Science 13530, Springer 2022, ISBN 978-3-031-15930-5 [contents] - [e12]Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin:
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part III. Lecture Notes in Computer Science 13531, Springer 2022, ISBN 978-3-031-15933-6 [contents] - [e11]Elias Pimenidis, Plamen Angelov, Chrisina Jayne, Antonios Papaleonidas, Mehmet Aydin:
Artificial Neural Networks and Machine Learning - ICANN 2022 - 31st International Conference on Artificial Neural Networks, Bristol, UK, September 6-9, 2022, Proceedings, Part IV. Lecture Notes in Computer Science 13532, Springer 2022, ISBN 978-3-031-15936-7 [contents] - [i11]Ziyang Zhang, Plamen Angelov, Eduardo Soares, Nicolas Longépé, Pierre-Philippe Mathieu:
An Interpretable Deep Semantic Segmentation Method for Earth Observation. CoRR abs/2210.12820 (2022) - 2021
- [j85]Farshad Firouzi, Bahareh J. Farahani, Mahmoud Daneshmand, Kathy Grise, Jaeseung Song, Roberto Saracco, Lucy Lu Wang, Kyle Lo, Plamen Angelov, Eduardo A. Soares, Po-Shen Loh, Zeynab Talebpour, Reza Moradi, Mohsen Goodarzi, Haleh Ashraf, Mohammad Talebpour, Alireza Talebpour, Luca Romeo, Rupam Das, Hadi Heidari, Dana K. Pasquale, James Moody, Chris Woods, Erich S. Huang, Payam M. Barnaghi, Majid Sarrafzadeh, Ron C. Li, Kristen L. Beck, Olexandr Isayev, NakMyoung Sung, Alan Luo:
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World. IEEE Internet Things J. 8(16): 12826-12846 (2021) - [j84]Xiaowei Gu, Plamen Angelov, Zhijin Zhao:
Self-organizing fuzzy inference ensemble system for big streaming data classification. Knowl. Based Syst. 218: 106870 (2021) - [j83]Plamen Angelov, Eduardo A. Soares:
Detecting and learning from unknown by extremely weak supervision: exploratory classifier (xClass). Neural Comput. Appl. 33(22): 15145-15157 (2021) - [j82]Xiaowei Gu, Qiang Shen, Plamen P. Angelov:
Particle Swarm Optimized Autonomous Learning Fuzzy System. IEEE Trans. Cybern. 51(11): 5352-5363 (2021) - [j81]Eduardo A. Soares, Plamen P. Angelov, Bruno Costa, Marcos Castro, Subramanya Nageshrao, Dimitar P. Filev:
Explaining Deep Learning Models Through Rule-Based Approximation and Visualization. IEEE Trans. Fuzzy Syst. 29(8): 2399-2407 (2021) - [j80]Zhao-Xu Yang, Hai-Jun Rong, Pak-Kin Wong, Plamen Angelov, Zhi-Xin Yang, Hang Wang:
Self-Evolving Data Cloud-Based PID-Like Controller for Nonlinear Uncertain Systems. IEEE Trans. Ind. Electron. 68(5): 4508-4518 (2021) - [j79]Plamen P. Angelov, Eduardo A. Soares, Richard Jiang, Nicholas I. Arnold, Peter M. Atkinson:
Explainable artificial intelligence: an analytical review. WIREs Data Mining Knowl. Discov. 11(5) (2021) - [c112]Alejandro Morán, Vincent Canals, Plamen P. Angelov, Christiam F. Frasser, Erik S. Skibinsky-Gitlin, Joan Font, Eugeni Isern, Miquel Roca, Josep L. Rosselló:
Stochastic Computing co-processing elements for Evolving Autonomous Data Partitioning. DCIS 2021: 1-6 - [c111]Ritesh Vyas, Hossein Rahmani, Ricki Boswell-Challand, Plamen Angelov, Sue Black, Bryan M. Williams:
Robust End-to-End Hand Identification via Holistic Multi-Unit Knuckle Recognition. IJCB 2021: 1-8 - [c110]Plamen Angelov:
Keynote: Explainable-by-design Deep Learning. PerCom Workshops 2021: 175 - [c109]Mona Alghamdi, Plamen Angelov, Bryan M. Williams:
Automated Person Identification Framework Based on Fingernails and Dorsal Knuckle Patterns. SSCI 2021: 1-8 - [i10]Nathanael L. Baisa, Zheheng Jiang, Ritesh Vyas, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black:
Hand-Based Person Identification using Global and Part-Aware Deep Feature Representation Learning. CoRR abs/2101.05260 (2021) - [i9]Nathanael L. Baisa, Bryan M. Williams, Hossein Rahmani, Plamen Angelov, Sue Black:
Multi-Branch with Attention Network for Hand-Based Person Recognition. CoRR abs/2108.02234 (2021) - 2020
- [j78]Chia-Yen Chiang, Chloe Barnes, Plamen Angelov, Richard Jiang:
Deep Learning-Based Automated Forest Health Diagnosis From Aerial Images. IEEE Access 8: 144064-144076 (2020) - [j77]Xiaowei Gu, Plamen P. Angelov:
Highly interpretable hierarchical deep rule-based classifier. Appl. Soft Comput. 92: 106310 (2020) - [j76]Eduardo A. Soares, Plamen Angelov, Xiaowei Gu:
Autonomous Learning Multiple-Model zero-order classifier for heart sound classification. Appl. Soft Comput. 94: 106449 (2020) - [j75]Jianfeng Huang, Plamen P. Angelov, Chengliang Yin:
Interpretable policies for reinforcement learning by empirical fuzzy sets. Eng. Appl. Artif. Intell. 91: 103559 (2020) - [j74]Xiaowei Gu, Plamen P. Angelov, Eduardo A. Soares:
A self-adaptive synthetic over-sampling technique for imbalanced classification. Int. J. Intell. Syst. 35(6): 923-943 (2020) - [j73]Clauber Gomes Bezerra, Bruno Sielly Jales Costa, Luiz Affonso Guedes, Plamen Parvanov Angelov:
An evolving approach to data streams clustering based on typicality and eccentricity data analytics. Inf. Sci. 518: 13-28 (2020) - [j72]Allah Bux Sargano, Xiaowei Gu, Plamen Angelov, Zulfiqar Habib:
Human action recognition using deep rule-based classifier. Multim. Tools Appl. 79(41-42): 30653-30667 (2020) - [j71]Plamen Angelov, Eduardo A. Soares:
Towards explainable deep neural networks (xDNN). Neural Networks 130: 185-194 (2020) - [c108]Elnaz Shafipour Yourdshahi, Matheus Aparecido do Carmo Alves, Leandro Soriano Marcolino, Plamen Angelov:
On-line Estimators for Ad-hoc Task Allocation. AAMAS 2020: 1999-2001 - [c107]Xiaowei Gu, Muhammad Aurangzeb Khan, Plamen Angelov, Bikash Tiwary, Elnaz Shafipour Yourdshahi, Zhao-Xu Yang:
A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion. FUZZ-IEEE 2020: 1-10 - [c106]Maciej Jaworski, Leszek Rutkowski, Plamen Angelov:
Concept Drift Detection Using Autoencoders in Data Streams Processing. ICAISC (1) 2020: 124-133 - [c105]Plamen Angelov, Eduardo A. Soares:
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference. SMC 2020: 2092-2099 - [e10]Lazaros Iliadis, Plamen Parvanov Angelov, Chrisina Jayne, Elias Pimenidis:
Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference - Proceedings of the EANN 2020, Halkidiki, Greece, June 5-7, 2020. Proceedings of the International Neural Networks Society 2, Springer 2020, ISBN 978-3-030-48790-4 [contents]Online only because of the COVID-19 pandemic. - [i8]Plamen Angelov, Eduardo A. Soares:
Towards Deep Machine Reasoning: a Prototype-based Deep Neural Network with Decision Tree Inference. CoRR abs/2002.03776 (2020) - [i7]Chia-Yen Chiang, Chloe Barnes, Plamen Angelov, Richard Jiang:
Deep Learning based Automated Forest Health Diagnosis from Aerial Images. CoRR abs/2010.08437 (2020)
2010 – 2019
- 2019
- [b1]Plamen P. Angelov, Xiaowei Gu:
Empirical Approach to Machine Learning. Studies in Computational Intelligence 800, Springer 2019, ISBN 978-3-030-02383-6 - [j70]Xiaowei Gu, Plamen Angelov:
Self-boosting first-order autonomous learning neuro-fuzzy systems. Appl. Soft Comput. 77: 118-134 (2019) - [j69]Xiaowei Gu, Plamen Angelov, Zhijin Zhao:
A distance-type-insensitive clustering approach. Appl. Soft Comput. 77: 622-634 (2019) - [j68]Xiaowei Gu, Plamen Angelov, Hai-Jun Rong:
Local optimality of self-organising neuro-fuzzy inference systems. Inf. Sci. 503: 351-380 (2019) - [j67]Pouria Sadeghi-Tehran, Plamen Angelov, Nicolas Virlet, Malcolm J. Hawkesford:
Scalable Database Indexing and Fast Image Retrieval Based on Deep Learning and Hierarchically Nested Structure Applied to Remote Sensing and Plant Biology. J. Imaging 5(3): 33 (2019) - [c104]Eduardo A. Soares, Plamen Angelov, Dimitar P. Filev, Bruno Costa, Marcos Castro, Subramanya Nageshrao:
Explainable Density-Based Approach for Self-Driving Actions Classification. ICMLA 2019: 469-474 - [c103]Xiaowei Gu, Plamen P. Angelov:
Deep Rule-Based Aerial Scene Classifier using High-Level Ensemble Feature Descriptor. IJCNN 2019: 1-7 - [c102]Eduardo A. Soares, Plamen Angelov, Bruno Costa, Marcos Castro:
Actively Semi-Supervised Deep Rule-based Classifier Applied to Adverse Driving Scenarios. IJCNN 2019: 1-8 - [c101]Xiaowei Gu, Plamen P. Angelov:
A Semi-supervised Deep Rule-Based Approach for Remote Sensing Scene Classification. INNSBDDL 2019: 257-266 - [c100]Mona Alghamdi, Plamen Angelov, Raul Gimenez, Mariana C. Rufino, Eduardo A. Soares:
Self-Organising and Self-Learning Model for Soybean Yield Prediction. SNAMS 2019: 441-446 - [i6]Eduardo A. Soares, Plamen Angelov:
Fair-by-design explainable models for prediction of recidivism. CoRR abs/1910.02043 (2019) - [i5]Eduardo A. Soares, Plamen Angelov:
Novelty Detection and Learning from Extremely Weak Supervision. CoRR abs/1911.00616 (2019) - [i4]Xiaowei Gu, Plamen P. Angelov, Eduardo Almeida Soares:
A Self-Adaptive Synthetic Over-Sampling Technique for Imbalanced Classification. CoRR abs/1911.11018 (2019) - [i3]Plamen Angelov, Eduardo A. Soares:
Towards Explainable Deep Neural Networks (xDNN). CoRR abs/1912.02523 (2019) - [i2]Xiaowei Gu, Muhammad Aurangzeb Khan, Plamen Angelov, Bikash Tiwary, Elnaz Shafipour Yourdshahi, Zhao-Xu Yang:
A Novel Self-Organizing PID Approach for Controlling Mobile Robot Locomotion. CoRR abs/1912.08057 (2019) - 2018
- [j66]Xiaowei Gu, Plamen P. Angelov:
Semi-supervised deep rule-based approach for image classification. Appl. Soft Comput. 68: 53-68 (2018) - [j65]Plamen P. Angelov, Xiaowei Gu:
Toward Anthropomorphic Machine Learning. Computer 51(9): 18-27 (2018) - [j64]Plamen P. Angelov, Xiaowei Gu:
Empirical Fuzzy Sets. Int. J. Intell. Syst. 33(2): 362-395 (2018) - [j63]Xiaowei Gu, Plamen Angelov, Dmitry Kangin, José C. Príncipe:
Self-Organised direction aware data partitioning algorithm. Inf. Sci. 423: 80-95 (2018) - [j62]Mahardhika Pratama, Plamen P. Angelov, Edwin Lughofer, Meng Joo Er:
Parsimonious random vector functional link network for data streams. Inf. Sci. 430: 519-537 (2018) - [j61]Xiaowei Gu, Plamen P. Angelov:
Self-organising fuzzy logic classifier. Inf. Sci. 447: 36-51 (2018) - [j60]Xiaowei Gu, Plamen P. Angelov, José C. Príncipe:
A method for autonomous data partitioning. Inf. Sci. 460-461: 65-82 (2018) - [j59]