A semi-supervised learning approach to study the energy consumption in smart buildings. - Carlos Quintero Gull; José Aguilar 001; María D. R.-Moreno (SSCI, 2021)

Analysis of Customer Energy Consumption Patterns using an Online Fuzzy Clustering Technique. - José Aguilar 001; Carlos Quintero Gull; María D. R.-Moreno; Juan Viera (FUZZ-IEEE, 2022)

A Multi-label Approach for Diagnosis Problems in Energy Systems using LAMDA algorithm. - Carlos Quintero Gull; José Aguilar 001; María D. R.-Moreno (FUZZ-IEEE, 2022)

LAMDA-HSCC: A semi-supervised learning algorithm based on the multivariate data analysis. - Carlos Quintero Gull; José Aguilar 001 (Expert Syst. Appl., 2022)

Study of Explainability Analysis Methods for the LAMDA Family Algorithms in Classification and Clustering Tasks. - Carlos Quintero Gull; José Lisandro Aguilar; Rodrigo García (IJCNN, 2024)

A semi-supervised learning algorithm for multi-label classification and multi-assignment clustering problems based on a Multivariate Data Analysis. - Carlos Quintero Gull; José Aguilar 001 (Eng. Appl. Artif. Intell., 2024)