A short bio

I am post-doc researcher at the University of the Basque Country and member of the Intelligent Systems Group, a research team led by Jose A. Lozano. My PhD advisors were Iñaki Inza and Jose A. Lozano. In the field of machine learning, our research works have been related to learning problems with weak supervision. Our proposals aim to learn predictive models, specifically Bayesian network classifiers, from this kind of data.

Publications

  • Sep2016

    Whatever you know, just tell me something: Crowd learning with free supervision

    J. Hernández-González, I. Inza, J.A. Lozano

    In Proceedings of the VIII Symposium of Data Mining Theory and Applications (TAMIDA), 2016

  • May2016

    Learning from proportions of positive and unlabeled examples

    J. Hernández-González, I. Inza, J.A. Lozano

    International Journal of Intelligent Systems, in press

  • Apr2016

    Fitting the data from embryo implantation prediction: learning from label proportions

    J. Hernández-González, I. Inza, L. Crisol-Ortíz, M.A. Guembe, M.J. Iñarra, J.A. Lozano

    Statistical Methods in Medical Research, in press · Additional data external link · Media coverage external link

  • Jan2016

    Weak supervision and other non-standard classification problems: a taxonomy

    J. Hernández-González, I. Inza, J.A. Lozano

    Pattern Recognition Letters 69, pp. 49-55, 2016

  • Nov2015

    A novel weakly supervised problem: Learning from positive-unlabeled proportions

    J. Hernández-González, I. Inza, J.A. Lozano

    In Proceedings of the 16th Conference of the Spanish Association for Artificial Intelligence (CAEPIA), 2015

  • Jan2015

    Multidimensional learning from crowds: usefulness and application of expertise detection

    J. Hernández-González, I. Inza, J.A. Lozano

    International Journal of Intelligent Systems 30(3), pp. 326-354, 2015

  • Dec2013

    Learning Bayesian network classifiers from label proportions

    J. Hernández-González, I. Inza, J.A. Lozano

    Pattern Recognition 46(12), pp. 3425-3440, 2013 · Additional data external link

  • Sep2013

    Learning from crowds in multi-dimensional classification domains

    J. Hernández-González, I. Inza, J.A. Lozano

    In Proceedings of the 15th Conference of the Spanish Association for Artificial Intelligence (CAEPIA), 2013

  • Nov2011

    Learning naive Bayes models for Multiple-Instance Learning with label proportions

    J. Hernández-González, I. Inza

    In Proceedings of the 14th Conference of the Spanish Association for Artificial Intelligence (CAEPIA), 2011

Special mentions

  • 2016

    Best idea award

    Open Data Euskadi

  • 2015

    Best student paper award

    16th Conference of the Spanish Association for Artificial Intelligence (CAEPIA)