Universitat de Barcelona-ko ikertzaileekin lankidetzan egindako argitalpenak (21)

2023

  1. Fuzzy classification with distance-based depth prototypes: High-dimensional unsupervised and/or supervised problems

    Applied Soft Computing, Vol. 148

2022

  1. New Distance-Based approach for Genome-Wide Association Studies

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 19, Núm. 5, pp. 2938-2949

  2. dbcsp: User-friendly R package for Distance-Based Common Spatial Patterns

    R Journal, Vol. 14, Núm. 3, pp. 80-94

2020

  1. Genome-Wide Association Studies:: a distance-based approach

    Proceedings of the 35th International Workshop on Statistical Modelling : July 20-24, 2020 Bilbao, Basque Country, Spain

  2. ORdensity: User-friendly R package to identify differentially expressed genes

    BMC Bioinformatics, Vol. 21, Núm. 1

2019

  1. Ilra: Novelty detection in face-based intervener re-identification

    Symmetry, Vol. 11, Núm. 9

2018

  1. Identification of differentially expressed genes by means of outlier detection

    BMC bioinformatics, Vol. 19, Núm. 1, pp. 317

2017

  1. Extreme observations in biomedical data

    Trends in Mathematics (Springer International Publishing), pp. 3-8

2016

  1. Diagnosis using clinical/pathological and molecular information

    Statistical Methods in Medical Research, Vol. 25, Núm. 6, pp. 2878-2894

  2. Identifying extreme observations, outliers and noise in clinical and genetic data

    Current Bioinformatics, Vol. 11, Núm. 3

  3. Weighted distance based discriminant analysis: The r package weDiBaDis

    R Journal, Vol. 8, Núm. 2, pp. 435-454

2013

  1. The depth problem: Identifying the most representative units in a data group

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 10, Núm. 1, pp. 161-172

2012

  1. ICGE: An R package for detecting relevant clusters and atypical units in gene expression

    BMC Bioinformatics, Vol. 13, Núm. 1

2011

  1. Loop-closing: A typicality approach

    Robotics and Autonomous Systems, Vol. 59, Núm. 3-4, pp. 218-227

  2. Microarray time course experiments: Finding profiles

    IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 8, Núm. 2, pp. 464-475

2010

  1. A new clustering algorithm for mixed data and replicates

    Cluster Computing and Multi-Hop Network Research (Nova Science Publishers, Inc.), pp. 91-108

  2. GEVA: Geometric variability-based approaches for identifying patterns in data

    Computational Statistics, Vol. 25, Núm. 2, pp. 241-255

  3. Robot Mapping based on Typicality

    Intelligent Autonomous Systems 11, IAS 2010

2008

  1. CLUM: A cluster program for analyzing microarray data

    Russian Journal of Genetics, Vol. 44, Núm. 8, pp. 993-996

  2. INCA: New statistic for estimating the number of clusters and identifying atypical units

    Statistics in Medicine, Vol. 27, Núm. 15, pp. 2948-2973