FRANCISCO
CHARTE OJEDA
TITULAR DE UNIVERSIDAD
Publicacións (97) Publicacións de FRANCISCO CHARTE OJEDA
2024
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DESReg: Dynamic Ensemble Selection library for Regression tasks
Neurocomputing, Vol. 580
2023
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Analysis of Transformer Model Applications
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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NOSpcimen: A First Approach to Unsupervised Discarding of Empty Photo Trap Images
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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XAIRE: An ensemble-based methodology for determining the relative importance of variables in regression tasks. Application to a hospital emergency department
Artificial Intelligence in Medicine, Vol. 137
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mldr.resampling: Efficient reference implementations of multilabel resampling algorithms
Neurocomputing, Vol. 559
2022
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Low-cost IoT gas concentrator system prototype
15th International Conference of Technology, Learning and Teaching of Electronics, TAEE 2022 - Proceedings
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Reducing Data Complexity Using Autoencoders With Class-Informed Loss Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 44, Núm. 12, pp. 9549-9560
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Strategies for time series forecasting with generalized regression neural networks
Neurocomputing, Vol. 491, pp. 509-521
2021
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ClEnDAE: A classifier based on ensembles with built-in dimensionality reduction through denoising autoencoders
Information Sciences, Vol. 565, pp. 146-176
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Slicer: Feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Slicer: feature Learning for Class Separability with Least-Squares Support Vector Machine Loss and COVID-19 Chest X-Ray Case Study
Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings
2020
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A Comprehensive and Didactic Review on Multilabel Learning Software Tools
IEEE Access, Vol. 8, pp. 50330-50354
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An analysis on the use of autoencoders for representation learning: Fundamentals, learning task case studies, explainability and challenges
Neurocomputing, Vol. 404, pp. 93-107
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Artificial intelligence within the interplay between natural and artificial computation: Advances in data science, trends and applications
Neurocomputing, Vol. 410, pp. 237-270
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Choosing the proper autoencoder for feature fusion based on data complexity and classifiers: Analysis, tips and guidelines
Information Fusion, Vol. 54, pp. 44-60
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E2PAMEA: A fast evolutionary algorithm for extracting fuzzy emerging patterns in big data environments
Neurocomputing, Vol. 415, pp. 60-73
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El ecosistema de aprendizaje del estudiante universitario en la post-pandemia: metodologías y herramientas
Enseñanza y aprendizaje de ingeniería de computadores: Revista de Experiencias Docentes en Ingeniería de Computadores, Núm. 10, pp. 15-38
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EvoAAA: An evolutionary methodology for automated neural autoencoder architecture search
Integrated Computer-Aided Engineering
2019
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A Showcase of the Use of Autoencoders in Feature Learning Applications
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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A snapshot on nonstandard supervised learning problems: taxonomy, relationships, problem transformations and algorithm adaptations
Progress in Artificial Intelligence, Vol. 8, Núm. 1