Publicaciones en las que colabora con OSCAR LUACES RODRIGUEZ (28)

2018

  1. Deep Learning and Preference Learning for Object Tracking: A Combined Approach

    Neural Processing Letters, Vol. 47, Núm. 3, pp. 859-876

2017

  1. Deep learning to frame objects for visual target tracking

    Engineering Applications of Artificial Intelligence, Vol. 65, pp. 406-420

2016

  1. Analysis of clinical prognostic variables for Chronic Lymphocytic Leukemia decision-making problems

    Journal of Biomedical Informatics, Vol. 60, pp. 342-351

  2. Combining deep learning and preference learning for object tracking

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

  3. El deprendizax automáticu computacional na valoración d'exemplares bovinos d'Asturiana de los Valles

    Ciencies. Cartafueyos Asturianos de Ciencia y Teunoloxía: Revista de la Academia de la Llingua Asturiana, Núm. 6, pp. 46-61

  4. Using tensor products to detect unconditional label dependence in multilabel classifications

    Information Sciences, Vol. 329, pp. 20-32

2015

  1. On the prediction of Hodgkin lymphoma treatment response

    Clinical and Translational Oncology, Vol. 17, Núm. 8, pp. 612-619

  2. Optimizing different loss functions in multilabel classifications

    Progress in Artificial Intelligence, Vol. 3, Núm. 2, pp. 107-118

2012

  1. Binary relevance efficacy for multilabel classification

    Progress in Artificial Intelligence, Vol. 1, Núm. 4, pp. 303-313

2010

  1. Adapting decision DAGs for multipartite ranking

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

  2. Explaining the genetic basis of complex quantitative traits through prediction models

    Journal of Computational Biology, Vol. 17, Núm. 12, pp. 1711-1723

2009

  1. Prediction and inheritance of phenotypes

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

  2. Soft margin trees

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

2008

  1. Clustering people according to their preference criteria

    Expert Systems with Applications, Vol. 34, Núm. 2, pp. 1274-1284

  2. Learning to predict one or more ranks in ordinal regression tasks

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

2007

  1. How to learn consumer preferences from the analysis of sensory data by means of support vector machines (SVM)

    Trends in Food Science and Technology, Vol. 18, Núm. 1, pp. 20-28

2005

  1. Trait selection for assessing beef meat quality using non-linear SVM

    Advances in Neural Information Processing Systems

2004

  1. Analyzing sensory data using non-linear preference learning with feature subset selection

    Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)

  2. Discovering relevancies in very difficult regression problems: Applications to sensory data analysis

    Frontiers in Artificial Intelligence and Applications

  3. Feature subset selection for learning preferences: A case study

    Proceedings, Twenty-First International Conference on Machine Learning, ICML 2004