Herrera, Francisco

Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

Arrieta, A. B., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., García, S., Gil-López, S., Molina, D., Benjamins, R., et al. (2019) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 11,321

Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI

Barredo Arrieta, A., Díaz-Rodríguez, N., Del Ser, J., Bennetot, A., Tabik, S., Barbado, A., Garcia, S., Gil-Lopez, S., Molina, D., Benjamins, R., et al. (2020) · Information Fusion

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 10,423

A 2-tuple fuzzy linguistic representation model for computing with words

Martinez, L., & Herrera, F. (2000) · IEEE Transactions on Fuzzy Systems

Multi-Criteria Decision MakingFuzzy Logic and Control Systems

Cited by 2,662

Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence

Ali, S., Abuhmed, T., El-Sappagh, S., Muhammad, K., Alonso-Moral, J. M., Confalonieri, R., Guidotti, R., Del Ser, J., Díaz-Rodríguez, N., & Herrera, F. (2023) · Information Fusion

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 1,762

Learning from Imbalanced Data Sets

Fernández, A., García, S., Galar, M., Prati, R. C., Krawczyk, B., & Herrera, F. (2018) · Springer eBooks

Imbalanced Data Classification TechniquesMachine Learning and Data Classification

Cited by 1,349

A unifying view on dataset shift in classification

Moreno-Torres, J. G., Raeder, T., Alaiz-Rodríguez, R., Chawla, N. V., & Herrera, F. (2012) · Pattern Recognition

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 1,029

Connecting the dots in trustworthy Artificial Intelligence: From AI principles, ethics, and key requirements to responsible AI systems and regulation

Díaz-Rodríguez, N., Del Ser, J., Coeckelbergh, M., López de Prado, M., Herrera-Viedma, E., & Herrera, F. (2023) · Information Fusion

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 800

Deep learning in video multi-object tracking: A survey

Ciaparrone, G., Luque Sánchez, F., Tabik, S., Troiano, L., Tagliaferri, R., & Herrera, F. (2020) · Neurocomputing

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 665

A survey on data preprocessing for data stream mining: Current status and future directions

Ramírez-Gallego, S., Krawczyk, B., García, S., Woźniak, M., & Herrera, F. (2017) · Neurocomputing

Data Stream Mining TechniquesAdvanced Database Systems and Queries

Cited by 502

Tutorial on practical tips of the most influential data preprocessing algorithms in data mining

García, S., Luengo, J., & Herrera, F. (2016) · Knowledge-Based Systems

Machine Learning and Data ClassificationData Quality and Management

Cited by 310

Large-scale decision-making: characterization, taxonomy, challenges and future directions from an artificial intelligence and applications perspective

Ding, R.-X., Palomares, I., Wang, X., Yang, G.-R., Liu, B., Dong, Y., Herrera-Viedma, E., & Herrera, F. (2020) · Information Fusion

Multi-Criteria Decision MakingGame Theory and Voting Systems

Cited by 301

Survey on federated learning threats: Concepts, taxonomy on attacks and defences, experimental study and challenges

Rodríguez-Barroso, N., Jiménez-López, D., Luzón, M. V., Herrera, F., & Martínez-Cámara, E. (2023) · Information Fusion

Privacy-Preserving Technologies in DataAdversarial Robustness in Machine Learning

Cited by 296

A panoramic view and swot analysis of artificial intelligence for achieving the sustainable development goals by 2030: progress and prospects

Palomares, I., Martínez-Cámara, E., Montes, R., García-Moral, P., Chiachio, M., Chiachio, J., Alonso, S., Melero, F. J., Molina, D., Fernández, B., et al. (2021) · Applied Intelligence

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 276

Cognitive Computing: Architecture, Technologies and Intelligent Applications

Chen, M., Herrera, F., & Hwang, K. (2018) · IEEE Access

Cognitive Computing and NetworksInternet of Things and AI

Cited by 242

Object Detection Binary Classifiers methodology based on deep learning to identify small objects handled similarly: Application in video surveillance

Pérez-Hernández, F., Tabik, S., Lamas, A., Olmos, R., Fujita, H., & Herrera, F. (2020) · Knowledge-Based Systems

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 196

BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights

Benhammou, Y., Achchab, B., Herrera, F., & Tabik, S. (2020) · Neurocomputing

AI in cancer detectionArtificial Intelligence in Healthcare

Cited by 170

Federated learning and differential privacy: Software tools analysis, the sherpa.ai FL framework and methodological guidelines for preserving data privacy

Rodríguez-Barroso, N., Stipcich, G., Jiménez-López, D., Ruiz-Millán, J. A., Martínez-Cámara, E., González-Seco, G., Luzón, M. V., Veganzones, M. A., & Herrera, F. (2020) · Information Fusion

Privacy-Preserving Technologies in DataCloud Data Security Solutions

Cited by 148

Big Data: Tutorial and guidelines on information and process fusion for analytics algorithms with MapReduce

Ramírez-Gallego, S., Fernández, A., García, S., Chen, M., & Herrera, F. (2018) · Information Fusion

Cloud Computing and Resource ManagementBig Data Technologies and Applications

Cited by 140

Artificial Intelligence Adoption in SMEs: Survey Based on TOE–DOI Framework, Primary Methodology and Challenges

Sánchez, E., Calderón, R., & Herrera, F. (2025) · Applied Sciences

Artificial Intelligence ApplicationsImpact of AI and Big Data on Business and Society

Cited by 123

Brightness guided preprocessing for automatic cold steel weapon detection in surveillance videos with deep learning

Castillo, A., Tabik, S., Pérez, F., Olmos, R., & Herrera, F. (2019) · Neurocomputing

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 122

On generating trustworthy counterfactual explanations

Del Ser, J., Barredo-Arrieta, A., Díaz-Rodríguez, N., Herrera, F., Saranti, A., & Holzinger, A. (2024) · Information Sciences

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 122

General Purpose Artificial Intelligence Systems (GPAIS): Properties, definition, taxonomy, societal implications and responsible governance

Triguero, I., Molina, D., Poyatos, J., Del Ser, J., & Herrera, F. (2024) · Information Fusion

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 90

Hesitant fuzzy linguistic term sets

Rodríguez, R. M., Martínez, L., & Herrera, F. (2011) · Advances in Intelligent and Soft Computing

Multi-Criteria Decision MakingFuzzy and Soft Set Theory

Cited by 62

A binocular image fusion approach for minimizing false positives in handgun detection with deep learning

Olmos, R., Tabik, S., Lamas, A., Pérez-Hernández, F., & Herrera, F. (2019) · Information Fusion

Advanced Neural Network ApplicationsVideo Surveillance and Tracking Methods

Cited by 57