Publicaciones en las que colabora con JOSE ANTONIO LOZANO ALONSO (38)

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

  2. Optimization of Deep Learning Precipitation Models Using Categorical Binary Metrics

    Journal of Advances in Modeling Earth Systems, Vol. 12, Núm. 5

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. Eventos raros, anomalías y novedades vistas desde el paraguas de la clasificación supervisada

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

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

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

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

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

    Data in Brief

  6. Una aproximación desde la inteligencia computacional al tratamiento de datos de aseguradoras y accidentes

    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. 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

  2. Semisupervised Multiclass Classification Problems With Scarcity of Labeled Data: A Theoretical Study

    IEEE Transactions on Neural Networks and Learning Systems, Vol. 27, Núm. 12, pp. 2602-2614

  3. Weak supervision and other non-standard classification problems: A taxonomy

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

2015

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

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

  2. Dealing with the evaluation of supervised classification algorithms

    Artificial Intelligence Review, Vol. 44, Núm. 4, pp. 467-508