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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
- 2026
[j601]Qinjun Fei, Nuria Rodríguez Barroso, María Victoria Luzón, Zhongliang Zhang, Francisco Herrera:
Addressing data quality decompensation in federated learning via dynamic client selection. Future Gener. Comput. Syst. 176: 108138 (2026)- [j600]Nuria Rodríguez Barroso
, María Victoria Luzón, Francisco Herrera:
RAB2-DEF: Dynamic and Explainable Defense Against Adversarial Attacks in Federated Learning to Fair Poor Clients. Mach. Intell. Res. 23(1): 133-146 (2026) - [j599]Emilio Porcu, Roy El Moukari, Laurent Najman, Francisco Herrera, Horst Simon:
Data science: a natural ecosystem. Inf. Fusion 130: 104113 (2026) - [j598]Nuria Rodríguez Barroso, Mario García-Márquez, María Victoria Luzón, Francisco Herrera:
From privacy to trust in the agentic era: a taxonomy of challenges in trustworthy federated learning through the lens of trust report 2.0. Inf. Fusion 132: 104236 (2026) - [j597]Iván Sevillano-García, Julián Luengo, Francisco Herrera:
STOOD-X: Explainable out-of-distribution detection via nonparametric statistical testing on large-scale datasets. Pattern Recognit. 177: 113254 (2026) - [i95]Ignacio Antequera-Sánchez, Juan Luis Suárez-Díaz, Rosana Montes, Francisco Herrera:
SeNeDiF-OOD: Semantic Nested Dichotomy Fusion for Out-of-Distribution Detection Methodology in Open-World Classification. A Case Study on Monument Style Classification. CoRR abs/2601.18739 (2026) - 2025
- [j596]David Herrera-Poyatos, Carlos Peláez-González, Cristina Zuheros, Andrés Herrera-Poyatos, Virilo Tejedor, Francisco Herrera, Rosana Montes:
An overview of model uncertainty and variability in LLM-based sentiment analysis: challenges, mitigation strategies, and the role of explainability. Frontiers Artif. Intell. 8 (2025) - [j595]Marilyn Bello, Rosalís Amador, María-Matilde García, Rafael Bello, Oscar Cordón, Francisco Herrera:
Meta-Explainers: A Unified Ensemble Approach for Multifaceted XAI. Int. J. Intell. Syst. 2025(1) (2025) - [j594]Julián Fernando Muñoz-Ordóñez, Carlos Cobos, Juan C. Vidal-Rojas, Francisco Herrera:
A Maturity Model for Practical Explainability in Artificial Intelligence-Based Applications: Integrating Analysis and Evaluation (MM4XAI-AE) Models. Int. J. Intell. Syst. 2025(1) (2025) - [j593]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) - [j592]Mingshuo Cao, Tiantian Gai, Jian Wu, Francisco Chiclana, Zhen Zhang, Yucheng Dong, Enrique Herrera-Viedma, Francisco Herrera:
Social network group decision making: Characterization, taxonomy, challenges and future directions from an AI and LLMs perspective. Inf. Fusion 120: 103107 (2025) - [j591]Francisco Herrera:
Reflections and attentiveness on eXplainable Artificial Intelligence (XAI). The journey ahead from criticisms to human-AI collaboration. Inf. Fusion 121: 103133 (2025) - [j590]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) - [j589]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) - [j588]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) - [j587]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. Knowl. Based Syst. 326: 114004 (2025) - [j586]Daniel Jiménez-López, Nuria Rodríguez Barroso, María Victoria Luzón, Javier Del Ser, Francisco Herrera:
Membership Inference Attacks Fueled by Few-Shot Learning to Detect Privacy Leakage and Address Data Integrity. Mach. Learn. Knowl. Extr. 7(2): 43 (2025) - [j585]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. Swarm Evol. Comput. 98: 102063 (2025) - [c239]J. J. Herrera, Francisco Herrera, Isaac Triguero:
A First Approach to Refine Semantic Spaces in Zero-Shot Learning with a Genetic Algorithm. CEC 2025: 1-4 - [c238]Mattia Daole, Pietro Ducange, Francisco Herrera, Francesco Marcelloni, Alessandro Renda, Nuria Rodríguez Barroso:
Security Threats to Explainable Classifiers in Federated Learning. IJCNN 2025: 1-8 - [c237]Mario García-Márquez, Nuria Rodríguez Barroso, María Victoria Luzón, Francisco Herrera:
Improving Krum's Byzantine Resilience in Federated Learning via layerwise aggregation. IJCNN 2025: 1-8 - [i94]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) - [i93]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) - [i92]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) - [i91]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) - [i90]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) - [i89]Iván Sevillano-García, Julián Luengo, Francisco Herrera:
STOOD-X methodology: using statistical nonparametric test for OOD Detection Large-Scale datasets enhanced with explainability. CoRR abs/2504.02685 (2025) - [i88]Virilo Tejedor, Cristina Zuheros, Carlos Peláez-González, David Herrera-Poyatos, Andrés Herrera-Poyatos, Francisco Herrera:
The H-Elena Trojan Virus to Infect Model Weights: A Wake-Up Call on the Security Risks of Malicious Fine-Tuning. CoRR abs/2504.03823 (2025) - [i87]David Herrera-Poyatos, Carlos Peláez-González, Cristina Zuheros, Andrés Herrera-Poyatos, Virilo Tejedor, Francisco Herrera, Rosana Montes:
An overview of model uncertainty and variability in LLM-based sentiment analysis. Challenges, mitigation strategies and the role of explainability. CoRR abs/2504.04462 (2025) - [i86]Carlos Peláez-González, Andrés Herrera-Poyatos, Cristina Zuheros, David Herrera-Poyatos, Virilo Tejedor, Francisco Herrera:
A Domain-Based Taxonomy of Jailbreak Vulnerabilities in Large Language Models. CoRR abs/2504.04976 (2025) - [i85]Oier Mentxaka, Natalia Díaz Rodríguez, Mark Coeckelbergh, Marcos López de Prado, Emilia Gómez, David Fernández Llorca, Enrique Herrera-Viedma, Francisco Herrera:
Aligning Trustworthy AI with Democracy: A Dual Taxonomy of Opportunities and Risks. CoRR abs/2505.13565 (2025) - [i84]Francisco Herrera, Reyes Calderón:
Opacity as a Feature, Not a Flaw: The LoBOX Governance Ethic for Role-Sensitive Explainability and Institutional Trust in AI. CoRR abs/2505.20304 (2025) - [i83]Francisco Herrera:
Making Sense of the Unsensible: Reflection, Survey, and Challenges for XAI in Large Language Models Toward Human-Centered AI. CoRR abs/2505.20305 (2025) - [i82]Qinjun Fei, Nuria Rodríguez Barroso, María Victoria Luzón, Zhongliang Zhang, Francisco Herrera:
Addressing Data Quality Decompensation in Federated Learning via Dynamic Client Selection. CoRR abs/2505.21219 (2025) - [i81]Marilyn Bello, Rafael Bello, María-Matilde García, Ann Nowé, Iván Sevillano-García, Francisco Herrera:
Explainability in Context: A Multilevel Framework Aligning AI Explanations with Stakeholder with LLMs. CoRR abs/2506.05887 (2025) - [i80]Emilio Porcu, Roy El Moukari, Laurent Najman, Francisco Herrera, Horst Simon:
Data Science: a Natural Ecosystem. CoRR abs/2506.11010 (2025) - [i79]Noe Zermeño, Cristina Zuheros, Lucas Daniel Del Rosso Calache, Francisco Herrera, Rosana Montes:
An Online A/B Testing Decision Support System for Web Usability Assessment Based on a Linguistic Decision-making Methodology: Case of Study a Virtual Learning Environment. CoRR abs/2507.12118 (2025) - [i78]Nuria Rodríguez Barroso, Mario García-Márquez, María Victoria Luzón, Francisco Herrera:
Challenges of Trustworthy Federated Learning: What's Done, Current Trends and Remaining Work. CoRR abs/2507.15796 (2025) - [i77]David Herrera-Poyatos, Carlos Peláez-González, Cristina Zuheros, Virilo Tejedor, Rosana Montes, Francisco Herrera:
Triadic Fusion of Cognitive, Functional, and Causal Dimensions for Explainable LLMs: The TAXAL Framework. CoRR abs/2509.05199 (2025) - [i76]Arantxa Urrea-Castaño, Nicolás Segura-Kunsagi, Juan Luis Suárez-Díaz, Rosana Montes, Francisco Herrera:
DCV-ROOD Evaluation Framework: Dual Cross-Validation for Robust Out-of-Distribution Detection. CoRR abs/2509.05778 (2025) - [i75]Juan José Herrera Aranda, Guillermo Gomez-Trenado, Francisco Herrera, Isaac Triguero:
Semantic-Inductive Attribute Selection for Zero-Shot Learning. CoRR abs/2510.03260 (2025) - [i74]J. Javier Alonso-Ramos, Ignacio Aguilera-Martos, Andrés Herrera-Poyatos, Francisco Herrera:
DenoGrad: Deep Gradient Denoising Framework for Enhancing the Performance of Interpretable AI Models. CoRR abs/2511.10161 (2025) - 2024
- [j584]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) - [j583]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) - [j582]Radomír Halas, Radko Mesiar, Anna Kolesárová, Reza Saadati, Francisco Herrera, Iosu Rodríguez-Martínez, Humberto Bustince:
Extremal values-based aggregation functions. Fuzzy Sets Syst. 493-494: 109097 (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. Version 1. Zenodo, 2024 [all versions]
- [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. Version 2. Zenodo, 2024 [all versions] - [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,