FRANCISCO
HERRERA TRIGUERO
CATEDRÁTICO DE UNIVERSIDAD
SALVADOR
GARCÍA LÓPEZ
CATEDRÁTICO DE UNIVERSIDAD
SALVADOR GARCÍA LÓPEZ-rekin lankidetzan egindako argitalpenak (159)
2024
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Metric learning for monotonic classification: turning the space up to the limits of monotonicity
Applied Intelligence, Vol. 54, Núm. 5, pp. 4443-4466
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Smart Data Driven Decision Trees Ensemble Methodology for Imbalanced Big Data
Cognitive Computation, Vol. 16, Núm. 4, pp. 1572-1588
2023
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Handling Imbalanced Classification Problems With Support Vector Machines via Evolutionary Bilevel Optimization
IEEE Transactions on Cybernetics, Vol. 53, Núm. 8, pp. 4735-4747
2022
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A Preliminary Approach for using Metric Learning in Monotonic Classification
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
2021
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A tutorial on distance metric learning: Mathematical foundations, algorithms, experimental analysis, prospects and challenges
Neurocomputing, Vol. 425, pp. 300-322
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An Indexing Algorithm Based on Clustering of Minutia Cylinder Codes for Fast Latent Fingerprint Identification
IEEE Access, Vol. 9, pp. 85488-85499
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BELIEF: A distance-based redundancy-proof feature selection method for Big Data
Information Sciences, Vol. 558, pp. 124-139
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Distance Metric Learning with Prototype Selection for Imbalanced Classification
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Distance Metric Learning with Prototype Selection for Imbalanced Classification
Hybrid Artificial Intelligent Systems: 16th International Conference, HAIS 2021. Bilbao, Spain. September 22–24, 2021. Proceedings
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Fuzzy k-nearest neighbors with monotonicity constraints: Moving towards the robustness of monotonic noise
Neurocomputing, Vol. 439, pp. 106-121
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Ordinal Regression with Explainable Distance Metric Learning Based on Ordered Sequences
2021 IEEE 8th International Conference on Data Science and Advanced Analytics, DSAA 2021
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Ordinal regression with explainable distance metric learning based on ordered sequences
Machine Learning, Vol. 110, Núm. 10, pp. 2729-2762
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SOUL: Scala Oversampling and Undersampling Library for imbalance classification
SoftwareX, Vol. 15
2020
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A practical tutorial on bagging and boosting based ensembles for machine learning: Algorithms, software tools, performance study, practical perspectives and opportunities
Information Fusion, Vol. 64, pp. 205-237
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Big Data Preprocessing: Enabling Smart Data
Springer International Publishing, pp. 1-186
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Comprehensive Taxonomies of Nature- and Bio-inspired Optimization: Inspiration Versus Algorithmic Behavior, Critical Analysis Recommendations
Cognitive Computation, Vol. 12, Núm. 5, pp. 897-939
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Explainable Explainable Artificial Intelligence (XAI): Concepts, taxonomies, opportunities and challenges toward responsible AI
Information Fusion, Vol. 58, pp. 82-115
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Fast and Scalable Approaches to Accelerate the Fuzzy k-Nearest Neighbors Classifier for Big Data
IEEE Transactions on Fuzzy Systems, Vol. 28, Núm. 5, pp. 874-886
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Preprocessing methodology for time series: An industrial world application case study
Information Sciences, Vol. 514, pp. 385-401
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Recent trends in the use of statistical tests for comparing swarm and evolutionary computing algorithms: Practical guidelines and a critical review
Swarm and Evolutionary Computation, Vol. 54