Publicaciones en colaboración con investigadoras/es de Basque Center for Applied Mathematics (13)

2023

  1. Learning a logistic regression with the help of unknown features at prediction stage

    Proceedings - 2023 IEEE Conference on Artificial Intelligence, CAI 2023

  2. SNDProb: A Probabilistic Approach for Streaming Novelty Detection

    IEEE Transactions on Knowledge and Data Engineering, Vol. 35, Núm. 6, pp. 6335-6348

2022

  1. Learning a Battery of COVID-19 Mortality Prediction Models by Multi-objective Optimization

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

2020

  1. Analyzing rare event, anomaly, novelty and outlier detection terms under the supervised classification framework

    Artificial Intelligence Review, Vol. 53, Núm. 5, pp. 3575-3594

2019

  1. A Note on the Behavior of Majority Voting in Multi-Class Domains with Biased Annotators

    IEEE Transactions on Knowledge and Data Engineering, Vol. 31, Núm. 1, pp. 195-200

  2. Aggregated outputs by linear models: An application on marine litter beaching prediction

    Information Sciences, Vol. 481, pp. 381-393

2018

  1. A system for airport weather forecasting based on circular regression trees

    Environmental Modelling and Software, Vol. 100, pp. 24-32

  2. Fitting the data from embryo implantation prediction: Learning from label proportions

    Statistical Methods in Medical Research, Vol. 27, Núm. 4, pp. 1056-1066

  3. Learning to classify software defects from crowds: A novel approach

    Applied Soft Computing Journal, Vol. 62, pp. 579-591

  4. Two datasets of defect reports labeled by a crowd of annotators of unknown reliability

    Data in Brief

2017

  1. Learning from Proportions of Positive and Unlabeled Examples

    International Journal of Intelligent Systems, Vol. 32, Núm. 2, pp. 109-133

  2. Measuring the class-imbalance extent of multi-class problems

    Pattern Recognition Letters, Vol. 98, pp. 32-38

2016

  1. Efficient approximation of probability distributions with k-order decomposable models

    International Journal of Approximate Reasoning, Vol. 74, pp. 58-87