Publikationen, an denen er mitarbeitet Amparo Alonso Betanzos (19)

2021

  1. Scalable feature selection using ReliefF aided by locality-sensitive hashing

    International Journal of Intelligent Systems, Vol. 36, Núm. 11, pp. 6161-6179

2020

  1. Fast Distributed kNN Graph Construction Using Auto-tuned Locality-sensitive Hashing

    ACM Transactions on Intelligent Systems and Technology, Vol. 11, Núm. 6

2019

  1. A scalable decision-tree-based method to explain interactions in dyadic data

    Decision Support Systems, Vol. 127

  2. Large scale anomaly detection in mixed numerical and categorical input spaces

    Information Sciences, Vol. 487, pp. 115-127

  3. Optimizing novelty and diversity in recommendations

    Progress in Artificial Intelligence, Vol. 8, Núm. 1, pp. 101-109

2018

  1. 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

  2. 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

  3. 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

  1. Algorithmic challenges in big data analytics

    ESANN 2017 - Proceedings, 25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning

  2. 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

  3. Paving the way for providing teaching feedback in automatic evaluation of open response assignments

    Proceedings of the International Joint Conference on Neural Networks

2016

  1. Machine learning for medical applications

    ESANN 2016 - 24th European Symposium on Artificial Neural Networks

2015

  1. A factorization approach to evaluate open-response assignments in MOOCs using preference learning on peer assessments

    Knowledge-Based Systems, Vol. 85, pp. 322-328

  2. Including Content-Based Methods in Peer-Assessment of Open-Response Questions

    Proceedings - 15th IEEE International Conference on Data Mining Workshop, ICDMW 2015

  3. Learning features on tear film lipid layer classification

    23rd European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning, ESANN 2015 - Proceedings

  4. Real-time tear film classification through cost-based feature selection

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

2014

  1. A methodology for improving tear film lipid layer classification

    IEEE Journal of Biomedical and Health Informatics, Vol. 18, Núm. 4, pp. 1485-1493

  2. MC-ReliefF: An extension of ReliefF for cost-based feature selection

    ICAART 2014 - Proceedings of the 6th International Conference on Agents and Artificial Intelligence

2012

  1. Interferential tear film lipid layer classification: An automatic dry eye test

    Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI