Carlos Quintero Gull

According to our database, Carlos Quintero Gull authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

Eng. Appl. Artif. Intell., 2024

Study of Explainability Analysis Methods for the LAMDA Family Algorithms in Classification and Clustering Tasks.

Carlos Quintero Gull, José Lisandro Aguilar, Rodrigo García

Proceedings of the International Joint Conference on Neural Networks, 2024

2022

LAMDA-HSCC: A semi-supervised learning algorithm based on the multivariate data analysis.

Carlos Quintero Gull, José Aguilar

Expert Syst. Appl., 2022

A Multi-label Approach for Diagnosis Problems in Energy Systems using LAMDA algorithm.

Carlos Quintero Gull, José Aguilar, María D. R.-Moreno

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

Analysis of Customer Energy Consumption Patterns using an Online Fuzzy Clustering Technique.

José Aguilar, Carlos Quintero Gull, María D. R.-Moreno, Juan Viera

Proceedings of the IEEE International Conference on Fuzzy Systems, 2022

2021

A semi-supervised learning approach to study the energy consumption in smart buildings.

Carlos Quintero Gull, José Aguilar, María D. R.-Moreno

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021