Publicaciones en colaboración con investigadores/as de Bangor University (20)

2023

  1. An experiment on animal re-identification from video

    Ecological Informatics, Vol. 74

2022

  1. A Benchmark Database for Animal Re-Identification and Tracking

    5th IEEE International Image Processing, Applications and Systems Conference, IPAS 2022

  2. Combination of Object Tracking and Object Detection for Animal Recognition

    5th IEEE International Image Processing, Applications and Systems Conference, IPAS 2022

2020

  1. An experimental evaluation of mixup regression forests

    Expert Systems with Applications, Vol. 151

  2. Random Balance ensembles for multiclass imbalance learning

    Knowledge-Based Systems, Vol. 193

2018

  1. On feature selection protocols for very low-sample-size data

    Pattern Recognition, Vol. 81, pp. 660-673

2017

  1. Restricted set classification: Who is there?

    Pattern Recognition, Vol. 63, pp. 158-170

2014

  1. A weighted voting framework for classifiers ensembles

    Knowledge and Information Systems, Vol. 38, Núm. 2, pp. 259-275

2013

  1. Interval feature extraction for classification of event-related potentials (ERP) in EEG data analysis

    Progress in Artificial Intelligence, Vol. 2, Núm. 1, pp. 65-72

2010

  1. Classifier ensembles for fMRI data analysis: an experiment

    Magnetic Resonance Imaging, Vol. 28, Núm. 4, pp. 583-593

  2. Random subspace ensembles for fMRI classification

    IEEE Transactions on Medical Imaging, Vol. 29, Núm. 2, pp. 531-542

2008

  1. Combining online classification approaches for changing environments

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

2007

  1. An experimental study on rotation forest ensembles

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

  2. Classifier ensembles with a random linear oracle

    IEEE Transactions on Knowledge and Data Engineering, Vol. 19, Núm. 4, pp. 500-508

  3. Diagnosing scrapie in sheep: A classification experiment

    Computers in Biology and Medicine, Vol. 37, Núm. 8, pp. 1194-1202

  4. Naïve bayes ensembles with a random oracle

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

2006

  1. Rotation forest: A New classifier ensemble method

    IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 28, Núm. 10, pp. 1619-1630