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The Scientific World Journal
Volume 2014, Article ID 730712, 7 pages
Research Article

Towards Application of One-Class Classification Methods to Medical Data

1Department of Computer Sciences and Artificial Intelligence, UPV/EHU, 20018 Donostia, Spain
2Department of Statistics, UB, 08028 Barcelona, Spain

Received 5 December 2013; Accepted 24 February 2014; Published 20 March 2014

Academic Editors: V. Bhatnagar and Y. Zhang

Copyright © 2014 Itziar Irigoien et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [6 citations]

The following is the list of published articles that have cited the current article.

  • Md. Rajib Hasan, Hamid Gholamhosseini, and Nurul I Sarkar, “A new ensemble classifier for multivariate medical data,” 2017 27th International Telecommunication Networks and Applications Conference (ITNAC), pp. 1–6, . View at Publisher · View at Google Scholar
  • Paolo Oliveri, “Class-modelling in food analytical chemistry: Development, sampling, optimisation and validation issues – A tutorial,” Analytica Chimica Acta, 2017. View at Publisher · View at Google Scholar
  • Alberto Diez-Olivan, Jose A. Pagan, Nguyen Lu Dang Khoa, Ricardo Sanz, and Basilio Sierra, “Kernel-based support vector machines for automated health status assessment in monitoring sensor data,” The International Journal of Advanced Manufacturing Technology, 2017. View at Publisher · View at Google Scholar
  • Naiara Aginako, Goretti Echegaray, J.M. Martínez-Otzeta, Igor Rodríguez, Elena Lazkano, and Basilio Sierra, “Iris matching by means of Machine Learning paradigms: A new approach to dissimilarity computation,” Pattern Recognition Letters, 2017. View at Publisher · View at Google Scholar
  • Hui Chen, Chao TanP, and Zan LinP, “Non-destructive identification of native egg by near-infrared spectroscopy and data driven-based class-modeling,” Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2018. View at Publisher · View at Google Scholar
  • Filippo Maria Bianchi, Lorenzo Livi, Karl Øyvind Mikalsen, Michael Kampffmeyer, and Robert Jenssen, “Learning representations of multivariate time series with missing data,” Pattern Recognition, vol. 96, pp. 106973, 2019. View at Publisher · View at Google Scholar