Full Model Selection in Big Data. - Ángel Díaz-Pacheco; Jesús A. González Bernal; Carlos Alberto Reyes García; Hugo Jair Escalante Balderas (MICAI (1), 2017)

Full Model Selection in Huge Datasets and for Proxy Models Construction. - Ángel Díaz-Pacheco; Carlos Alberto Reyes García (MICAI (1), 2018)

Facing the full model selection problem in high volume datasets employing intelligent proxy models. - Ángel Díaz-Pacheco; Carlos A. Reyes García (Intell. Data Anal., 2019)

Mexican Epidemiological Semaphore Color Prediction by Means of Mutual Information Features. - Alejandra Romero-Cantón; Ramón Aranda; Ángel Díaz-Pacheco; Juan Pablo Ramírez-Silva (IberLEF@SEPLN, 2022)

A classification-based fuzzy-rules proxy model to assist in the full model selection problem in high volume datasets. - Ángel Díaz-Pacheco; Carlos Alberto Reyes García (J. Exp. Theor. Artif. Intell., 2022)

Overview of Rest-Mex at IberLEF 2022: Recommendation System, Sentiment Analysis and Covid Semaphore Prediction for Mexican Tourist Texts. - Miguel Ángel Álvarez-Carmona; Ángel Díaz-Pacheco; Ramón Aranda; Ansel Y. Rodríguez-González; Daniel Fajardo-Delgado; Rafael Guerrero-Rodríguez; Lázaro Bustio-Martínez (Proces. del Leng. Natural, 2022)

Generador automático de resúmenes científicos en investigación turística. - Miguel Ángel Álvarez-Carmona; Ramón Aranda; Ángel Díaz-Pacheco; José de Jesús Ceballos-Mejía (Res. Comput. Sci., 2022)

Natural language processing applied to tourism research: A systematic review and future research directions. - Miguel Ángel Álvarez-Carmona; Ramón Aranda; Ansel Y. Rodríguez-González; Daniel Fajardo-Delgado; María Guadalupe Sánchez; Humberto Pérez Espinosa; Juan Martínez-Miranda; Rafael Guerrero-Rodríguez; Lázaro Bustio-Martínez; Ángel Díaz-Pacheco (J. King Saud Univ. Comput. Inf. Sci., 2022)

Optimizing Energy Operation and Planning using Ring Cellular Encode-Decode Univariate Marginal Distribution Algorithm. - Ansel Y. Rodríguez-González; Ángel Díaz-Pacheco; Ramón Aranda; Miguel Ángel Álvarez-Carmona; Yoan Martínez López; Julio Madera (GECCO Companion, 2023)

Classifying Tourist Text Reviews by Means of Mutual Information Features. - Alvaro Zaid Gallardo-Hernández; Ramón Aranda; Ángel Díaz-Pacheco (IberLEF@SEPLN, 2023)

Overview of Rest-Mex at IberLEF 2023: Research on Sentiment Analysis Task for Mexican Tourist Texts. - Miguel Ángel Álvarez-Carmona; Ángel Díaz-Pacheco; Ramón Aranda; Ansel Yoan Rodríguez-González; Victor Muñiz-Sánchez; Adrián Pastor López-Monroy; Fernando Sánchez-Vega; Lázaro Bustio-Martínez (Proces. del Leng. Natural, 2023)

A comprehensive deep learning approach for topic discovering and sentiment analysis of textual information in tourism. - Ángel Díaz-Pacheco; Rafael Guerrero-Rodríguez; Miguel Ángel Álvarez-Carmona; Ansel Y. Rodríguez-González; Ramón Aranda (J. King Saud Univ. Comput. Inf. Sci., 2023)

Big data analytics of online news to explore destination image using a comprehensive deep-learning approach: a case from Mexico. - Rafael Guerrero-Rodríguez; Miguel Ángel Álvarez-Carmona; Ramón Aranda; Ángel Díaz-Pacheco (J. Inf. Technol. Tour., 2024)

Quantifying differences between UGC and DMO's image content on Instagram using deep learning. - Ángel Díaz-Pacheco; Rafael Guerrero-Rodríguez; Miguel Ángel Álvarez-Carmona; Ansel Y. Rodríguez-González; Ramón Aranda (J. Inf. Technol. Tour., 2024)

X-FSPMiner: A Novel Algorithm for Frequent Similar Pattern Mining. - Ansel Y. Rodríguez-González; Ramón Aranda; Miguel Ángel Álvarez-Carmona; Ángel Díaz-Pacheco; Rosa María Valdovinos Rosas (ACM Trans. Knowl. Discov. Data, 2024)

Artificial intelligence methods to support the research of destination image in tourism. A systematic review. - Ángel Díaz-Pacheco; Miguel Ángel Álvarez-Carmona; Rafael Guerrero-Rodríguez; Luz Angélica Ceballos Chávez; Ansel Y. Rodríguez-González; Juan Pablo Ramírez-Silva; Ramón Aranda (J. Exp. Theor. Artif. Intell., 2024)