María Amparo
Alonso Betanzos
Catedrática de Universidad
Carlos
Eiras Franco
Profesor Ayudante Doctor
Publicaciones en las que colabora con Carlos Eiras Franco (12)
2024
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Sustainable transparency on recommender systems: Bayesian ranking of images for explainability
Information Fusion, Vol. 111
2022
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Fast anomaly detection with locality-sensitive hashing and hyperparameter autotuning
Information Sciences, Vol. 607, pp. 1245-1264
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Sustainable Personalisation and Explainability in Dyadic Data Systems
Procedia Computer Science
2021
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Scalable feature selection using ReliefF aided by locality-sensitive hashing
International Journal of Intelligent Systems, Vol. 36, Núm. 11, pp. 6161-6179
2020
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Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing
ACM Transactions on Intelligent Systems and Technology, Vol. 11, Núm. 6
2019
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A scalable decision-tree-based method to explain interactions in dyadic data
Decision Support Systems, Vol. 127
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Large scale anomaly detection in mixed numerical and categorical input spaces
Information Sciences, Vol. 487, pp. 115-127
2018
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Preprocessing in High Dimensional Datasets
Intelligent Systems Reference Library (Springer Science and Business Media Deutschland GmbH), pp. 247-271
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Segmentación de mercado explicable sobre datos de alta dimensión
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
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Selección de características escalable con ReliefF mediante el uso de Hashing Sensible a la Localidad
XVIII Conferencia de la Asociación Española para la Inteligencia Artificial (CAEPIA 2018): avances en Inteligencia Artificial. 23-26 de octubre de 2018 Granada, España
2017
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Scalable approximate k-NN Graph construction based on Locality Sensitive Hashing
ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
2016
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Multithreaded and Spark parallelization of feature selection filters
Journal of Computational Science, Vol. 17, pp. 609-619