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Carlos Quintero Gull

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2020 – today

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2024
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Carlos Quintero Gull, José Aguilar:
A semi-supervised learning algorithm for multi-label classification and multi-assignment clustering problems based on a Multivariate Data Analysis. Eng. Appl. Artif. Intell. 137: 109189 (2024)
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Carlos Quintero Gull, José Lisandro Aguilar, Rodrigo García:
Study of Explainability Analysis Methods for the LAMDA Family Algorithms in Classification and Clustering Tasks. IJCNN 2024: 1-8
2022
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Carlos Quintero Gull, José Aguilar:
LAMDA-HSCC: A semi-supervised learning algorithm based on the multivariate data analysis. Expert Syst. Appl. 202: 117479 (2022)
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José Aguilar, Carlos Quintero Gull, María D. R.-Moreno, Juan Viera:
Analysis of Customer Energy Consumption Patterns using an Online Fuzzy Clustering Technique. FUZZ-IEEE 2022: 1-6
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Carlos Quintero Gull, José Aguilar, María D. R.-Moreno:
A Multi-label Approach for Diagnosis Problems in Energy Systems using LAMDA algorithm. FUZZ-IEEE 2022: 1-6
2021
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Carlos Quintero Gull, José Aguilar, María D. R.-Moreno:
A semi-supervised learning approach to study the energy consumption in smart buildings. SSCI 2021: 1-7

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