Comparison and Evaluation of Different Methods for the Feature Extraction from Educational Contents. - José Aguilar 001; Camilo Salazar; Henry Velasco; Julián Monsalve-Pulido; Edwin Montoya (Comput., 2020)

Affective recommender systems in the educational field. A systematic literature review. - Camilo Salazar; José Aguilar 001; Julián Monsalve-Pulido; Edwin Montoya (Comput. Sci. Rev., 2021)

A systematic mapping review of context-aware analysis and its approach to mobile learning and ubiquitous learning processes. - Paola Vallejo-Correa; Julián Monsalve-Pulido; Marta S. Tabares-Betancur (Comput. Sci. Rev., 2021)

An automatic approach of audio feature engineering for the extraction, analysis and selection of descriptors. - Marvin Jiménez; José Aguilar 001; Julián Monsalve-Pulido; Edwin Montoya (Int. J. Multim. Inf. Retr., 2021)

Analysis of Meta-Features in the Context of Adaptive Hybrid Recommendation Systems. - Daniela Varela; José Aguilar 001; Julián Monsalve-Pulido; Edwin Montoya (CLEI, 2022)

A Proposal and Comparison of Supervised and Unsupervised Classification Techniques for Sentiment Analysis in Tourism Data. - Antonio Rico Sulayes; Julián Monsalve-Pulido (IberLEF@SEPLN, 2022)

Framework for the adaptation of an autonomous academic recommendation system as a service-oriented architecture. - Julián Monsalve-Pulido; José Lisandro Aguilar; Edwin Montoya (Educ. Inf. Technol., 2023)

A generic architecture of an affective recommender system for e-learning environments. - Juan Camilo Salazar; José Aguilar 001; Julián Monsalve-Pulido; Edwin Montoya (Univers. Access Inf. Soc., 2024)

Multimodal model for the Spanish sentiment analysis in a tourism domain. - Julián Monsalve-Pulido; Carlos Alberto Parra; José Lisandro Aguilar (Soc. Netw. Anal. Min., 2024)