Publikationen in Zusammenarbeit mit Forschern von Bangor University (25)

2024

  1. A Constrained Cluster Ensemble Using Hierarchical Clustering Methods

    International IEEE Conference proceedings, IS

  2. Semi-supervised classification with pairwise constraints: A case study on animal identification from video

    Information Fusion, Vol. 104

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. Animal Re-Identification from Video

    Zenodo

  3. Animal Re-Identification from Video

    Zenodo

  4. 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

2019

  1. Combining univariate approaches for ensemble change detection in multivariate data

    Information Fusion, Vol. 45, pp. 202-214

  2. Instance selection improves geometric mean accuracy: a study on imbalanced data classification

    Progress in Artificial Intelligence, Vol. 8, Núm. 2, pp. 215-228

2018

  1. A taxonomic look at instance-based stream classifiers

    Neurocomputing, Vol. 286, pp. 167-178

  2. 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

2015

  1. Diversity techniques improve the performance of the best imbalance learning ensembles

    Information Sciences, Vol. 325, pp. 98-117

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)