Publicaciones en las que colabora con ANTONIO BAHAMONDE RIONDA (22)

2013

  1. Feature selection for classification of animal feed ingredients from near infrared microscopy spectra

    Information Sciences, Vol. 241, pp. 58-69

2012

  1. Disease liability prediction from large scale genotyping data using classifiers with a reject option

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 9, Núm. 1, pp. 88-97

  2. Multilabel classifiers with a probabilistic thresholding strategy

    Pattern Recognition, Vol. 45, Núm. 2, pp. 876-883

2011

  1. Graphical feature selection for multilabel classification tasks

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

  2. Validation of two discriminant strategies applied to NIRS data spectra for detection of animal meals in feedstuffs

    Spanish journal of agricultural research, Vol. 9, Núm. 1, pp. 41-48

2010

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

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

  2. Viability of an alarm predictor for coffee rust disease using interval regression

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

2009

  1. Prediction and inheritance of phenotypes

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

2007

  1. A simple and efficient method for variable ranking according to their usefulness for learning

    Computational Statistics and Data Analysis, Vol. 52, Núm. 1, pp. 578-595

  2. Genetical genomics: Use all data

    BMC Genomics, Vol. 8

  3. 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

  4. Prediction of probability of survival in critically Ill patients optimizing the area under the ROC curve

    IJCAI International Joint Conference on Artificial Intelligence

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

2003

  1. Artificial intelligence techniques point out differences in classification performance between light and standard bovine carcasses

    Meat Science, Vol. 64, Núm. 3, pp. 249-258

  2. Choosing among algorithms to improve accuracy

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 2686, pp. 246-253

2001

  1. The usefulness of artificial intelligence techniques to assess subjective quality of products in the food industry

    Trends in Food Science and Technology, Vol. 12, Núm. 10, pp. 370-381

  2. Using artificial intelligence to design and implement a morphological assessment system in beef cattle

    Animal Science, Vol. 73, Núm. 1, pp. 49-60

2000

  1. Un sistema inteligente para calificar morfológicamente a bovinos de la raza Asturiana de los Valles

    Inteligencia artificial: Revista Iberoamericana de Inteligencia Artificial, Vol. 4, Núm. 10, pp. 5-17