MACHINE LEARNING GROUP
MLGroup
Universidade da Coruña
La Coruña, EspañaPublicacións en colaboración con investigadores/as de Universidade da Coruña (59)
2023
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A Pseudo-Label Guided Hybrid Approach for Unsupervised Domain Adaptation
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Do all roads lead to Rome? Studying distance measures in the context of machine learning
Pattern Recognition, Vol. 141
2022
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Case Studies to Demonstrate Real-World Applications in Ophthalmic Image Analysis
Intelligent Systems Reference Library (Springer Science and Business Media Deutschland GmbH), pp. 83-125
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When the best reviews are not placed between extremes
Proceedings of the International Joint Conference on Neural Networks
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
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Feature selection in image analysis: a survey
Artificial Intelligence Review, Vol. 53, Núm. 4, pp. 2905-2931
2019
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A review of feature selection methods in medical applications
Computers in Biology and Medicine, Vol. 112
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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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Automatic detection of defective crankshafts by image analysis and supervised classification
International Journal of Advanced Manufacturing Technology, Vol. 105, Núm. 9, pp. 3761-3777
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Large scale anomaly detection in mixed numerical and categorical input spaces
Information Sciences, Vol. 487, pp. 115-127
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Optimizing novelty and diversity in recommendations
Progress in Artificial Intelligence, Vol. 8, Núm. 1, pp. 101-109
2018
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Análisis de algoritmos de cuantificación basados en ajuste de distribuciones
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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Feature Selection for Big Visual Data: Overview and Challenges
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
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Machine Learning Applied to Optometry Data
Intelligent Systems Reference Library (Springer Science and Business Media Deutschland GmbH), pp. 123-160
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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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Algorithmic challenges in big data analytics
ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
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Content-based methods in peer assessment of open-response questions to grade students as authors and as graders
Knowledge-Based Systems, Vol. 117, pp. 79-87
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Evaluation of an automatic dry eye test using MCDM methods and rank correlation
Medical and Biological Engineering and Computing, Vol. 55, Núm. 4, pp. 527-536