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Francisco Herrera
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- affiliation: University of Granada, Department of Computer Science and Artificial Intelligence
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2020 – today
- 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) - [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 - [d1]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 - [i70]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) - [i69]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) - [i68]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) - [i67]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) - [i66]Iván Sevillano-García, Julián Luengo, Francisco Herrera:
SHIELD: A regularization technique for eXplainable Artificial Intelligence. CoRR abs/2404.02611 (2024) - [i65]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) - [i64]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) - [i63]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) - [i62]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) - [i61]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) - [i60]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) - 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, <