Fuzzy Association Rules Mining Using Spark. - Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (2), 2018)

A comparative analysis of tools for visualizing association rules: A proposal for visualising fuzzy association rules. - Carlos Fernandez-Basso; M. Dolores Ruiz; Miguel Delgado 001; María J. Martín-Bautista (EUSFLAT Conf., 2019)

A Probabilistic Algorithm for Predictive Control With Full-Complexity Models in Non-Residential Buildings. - Juan Gómez-Romero; Carlos Fernandez-Basso; M. Victoria Cambronero; Miguel Molina-Solana; Jesús R. Campaña; M. Dolores Ruiz; María J. Martín-Bautista (IEEE Access, 2019)

Finding tendencies in streaming data using Big Data frequent itemset mining. - Carlos Fernandez-Basso; Abel J. Francisco-Agra; María J. Martín-Bautista; M. Dolores Ruiz (Knowl. Based Syst., 2019)

Mining Text Patterns over Fake and Real Tweets. - Jose Angel Diaz-Garcia; Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (2), 2020)

A Fuzzy Mining Approach for Energy Efficiency in a Big Data Framework. - Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (IEEE Trans. Fuzzy Syst., 2020)

Spark solutions for discovering fuzzy association rules in Big Data. - Carlos Fernandez-Basso; M. Dolores Ruiz; María José Martín Bautista (Int. J. Approx. Reason., 2021)

A Fuzzy-Based Approach for Cyberbullying Analysis. - Jose Angel Diaz-Garcia; Carlos Fernandez-Basso; Jesica Gómez-Sánchez; Karel Gutiérrez-Batista; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (2), 2022)

Improving Text Clustering Using a New Technique for Selecting Trustworthy Content in Social Networks. - Jose Angel Diaz-Garcia; Carlos Fernandez-Basso; Karel Gutiérrez-Batista; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (2), 2022)

A fuzzy-based medical system for pattern mining in a distributed environment: Application to diagnostic and co-morbidity. - Carlos Fernandez-Basso; Karel Gutiérrez-Batista; Roberto Morcillo-Jiménez; María Amparo Vila Miranda; María J. Martín-Bautista (Appl. Soft Comput., 2022)

Big Data Architecture for Building Energy Management Systems. - M. Dolores Ruiz; Juan Gómez-Romero; Carlos Fernandez-Basso; María J. Martín-Bautista (IEEE Trans. Ind. Informatics, 2022)

Blame attribution in human-AI and human-only systems: Crowdsourcing judgments from Twitter. - Matija Franklin; Trisevgeni Papakonstantinou; Tianshu Chen; Carlos Fernandez-Basso; David A. Lagnado (CogSci, 2023)

An Unsupervised Approach to Extracting Knowledge from the Relationships Between Blame Attribution on Twitter. - Matija Franklin; Trisevgeni Papakonstantinou; Tianshu Chen; Carlos Fernandez-Basso; David A. Lagnado (FQAS, 2023)

Who Is to Blame? Responsibility Attribution in AI Systems vs Human Agents in the Field of Air Crashes. - Jesica Gómez-Sánchez; Cristina Gordo; Matija Franklin; Carlos Fernandez-Basso; David A. Lagnado (FQAS, 2023)

"Health Is the Real Wealth": Unsupervised Approach to Improve Explainability in Health-Based Recommendation Systems. - Bartolomé Ortiz Viso; Carlos Fernandez-Basso; Jesica Gómez-Sánchez; María J. Martín-Bautista (FQAS, 2023)

AIMDP: An Artificial Intelligence Modern Data Platform. Use case for Spanish national health service data silo. - Alberto S. Ortega-Calvo; Roberto Morcillo-Jiménez; Carlos Fernandez-Basso; Karel Gutiérrez-Batista; María Amparo Vila Miranda; María J. Martín-Bautista (Future Gener. Comput. Syst., 2023)

Designing a Novel Fuzzy Association Rule Mining Algorithm for Federated Environments. - Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (3), 2024)

Unveiling Hidden Patterns in Clinical Databases: A Novel Approach Using Level-by-Level Association Rule Mining. - Bartolomé Ortiz Viso; Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (IPMU (3), 2024)

New Spark solutions for distributed frequent itemset and association rule mining algorithms. - Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (Clust. Comput., 2024)

A Flexible Big Data System for Credibility-Based Filtering of Social Media Information According to Expertise. - Jose Angel Diaz-Garcia; Karel Gutiérrez-Batista; Carlos Fernandez-Basso; M. Dolores Ruiz; María J. Martín-Bautista (Int. J. Comput. Intell. Syst., 2024)

Improving automatic cyberbullying detection in social network environments by fine-tuning a pre-trained sentence transformer language model. - Karel Gutiérrez-Batista; Jesica Gómez-Sánchez; Carlos Fernandez-Basso (Soc. Netw. Anal. Min., 2024)

Fuzzy processing applied to improve multimodal sensor data fusion to discover frequent behavioral patterns for smart healthcare. - Carlos Fernandez-Basso; David Díaz-Jiménez; José L. López 003; Macarena Espinilla (Inf. Fusion, 2025)

Simulafed: an enhanced federated simulated environment for privacy and security in health. - Jose M. Rivas; Carlos Fernandez-Basso; Roberto Morcillo-Jiménez; Juan Paños-Basterra; M. Dolores Ruiz; María J. Martín-Bautista (Computing, 2025)

An AI knowledge-based system for police assistance in crime investigation. - Carlos Fernandez-Basso; Karel Gutiérrez-Batista; Juan Gómez-Romero; M. Dolores Ruiz; María J. Martín-Bautista (Expert Syst. J. Knowl. Eng., 2025)