A Framework for Creating, Training, and Testing Self-Organizing Maps for Recognizing Learning Styles. - Ramón Zataraín-Cabada; María Lucía Barrón-Estrada; Viridiana Ponce Angulo; Adán José García; Carlos A. Reyes García (Edutainment, 2010)

Identification of Felder-Silverman Learning Styles with a Supervised Neural Network. - Ramón Zataraín-Cabada; María Lucía Barrón-Estrada; Viridiana Ponce Angulo; Adán José García; Carlos A. Reyes García (ICIC (2), 2010)

A Learning Social Network with Recognition of Learning Styles Using Neural Networks. - Ramón Zataraín-Cabada; María Lucía Barrón-Estrada; Viridiana Ponce Angulo; Adán José García; Carlos A. Reyes García (MCPR, 2010)

A Simulated Annealing Algorithm for the Problem of Minimal Addition Chains. - Adán José García; Hillel Romero-Monsivais; Cindy G. Hernandez-Morales; Arturo Rodríguez-Cristerna; Ivan Rivera-Islas; José Torres-Jiménez (EPIA, 2011)

A Mutation-Selection Algorithm for the Problem of Minimum Brauer Chains. - Arturo Rodríguez-Cristerna; José Torres-Jiménez; Ivan Rivera-Islas; Cindy G. Hernandez-Morales; Hillel Romero-Monsivais; Adán José García (MICAI (2), 2011)

Building topic maps from relational databases. - Adán José García; Ivan López-Arévalo; Victor Sosa-Sosa (CCE, 2012)

Rule-based approach for topic maps learning from relational databases. - Adán José García; Ivan López-Arévalo; Víctor Jesús Sosa Sosa (Expert Syst. J. Knowl. Eng., 2015)

Automatic clustering using nature-inspired metaheuristics: A survey. - Adán José García; Wilfrido Gómez-Flores (Appl. Soft Comput., 2016)

Evolutionary Clustering Using Multi-prototype Representation and Connectivity Criterion. - Adán José García; Wilfrido Gómez-Flores (MCPR, 2017)

Many-view clustering: an illustration using multiple dissimilarity measures. - Adán José García; Julia Handl; Wilfrido Gómez-Flores; Mario Garza-Fabre (GECCO (Companion), 2019)

On the Interaction Between Distance Functions and Clustering Criteria in Multi-objective Clustering. - Adán José García; Julia Handl (EMO, 2021)

A survey of cluster validity indices for automatic data clustering using differential evolution. - Adán José García; Wilfrido Gómez-Flores (GECCO, 2021)

An evolutionary many-objective approach to multiview clustering using feature and relational data. - Adán José García; Julia Handl; Wilfrido Gómez-Flores; Mario Garza-Fabre (Appl. Soft Comput., 2021)

Detection of Fiber Defects Using Keypoints and Deep Learning. - Dirk Siegmund; Biying Fu; Adán José García; Salahuddin Ahmad; Arjan Kuijper (Int. J. Pattern Recognit. Artif. Intell., 2021)

Automatic clustering algorithms: a systematic review and bibliometric analysis of relevant literature. - Absalom E. Ezugwu; Amit K. Shukla; Moyinoluwa B. Agbaje; Olaide Nathaniel Oyelade; Adán José García; Jeffrey O. Agushaka (Neural Comput. Appl., 2021)

Multi-view Clustering of Heterogeneous Health Data: Application to Systemic Sclerosis. - Adán José García; Julie Jacques; Alexandre Filiot; Julia Handl; David Launay; Vincent Sobanski; Clarisse Dhaenens (PPSN (2), 2022)

Biclustering Algorithms Based on Metaheuristics: A Review. - Adán José García; Julie Jacques; Vincent Sobanski; Clarisse Dhaenens (CoRR, 2022)

Evolutionary Multiobjective Clustering Over Multiple Conflicting Data Views. - Mario Garza-Fabre; Julia Handl; Adán José García (IEEE Trans. Evol. Comput., 2023)

CVIK: A Matlab-based cluster validity index toolbox for automatic data clustering. - Adán José García; Wilfrido Gómez-Flores (SoftwareX, 2023)

What's in a distance? Exploring the interplay between distance measures and internal cluster validity in multi-objective clustering. - Adán José García; Julia Handl (Nat. Comput., 2023)

C3-IoC: A Career Guidance System for Assessing Student Skills using Machine Learning and Network Visualisation. - Adán José García; Alison Sneyd; Ana Melro; Anaïs Ollagnier; Georgina Tarling; Haiyang Zhang 004; Mark Stevenson 001; Richard Everson; Rudy Arthur (Int. J. Artif. Intell. Educ., 2023)

HBIC: A Biclustering Algorithm for Heterogeneous Datasets. - Adán José García; Julie Jacques; Clément Chauvet; Vincent Sobanski; Clarisse Dhaenens (ECAI, 2024)

Metaheuristic Biclustering Algorithms: From State-of-the-art to Future Opportunities. - Adán José García; Julie Jacques; Vincent Sobanski; Clarisse Dhaenens (ACM Comput. Surv., 2024)

Exhaustive biclustering driven by self-learning evolutionary approach for biomedical data. - Adrián Segura-Ortiz; Adán José García; Laetitia Jourdan; José García-Nieto (Comput. Methods Programs Biomed., 2025)