Hierarchical multi-label classification with SVMs: A case study in gene function prediction

Journal article

Peer reviewed

Peerapon Vateekul, Miroslav Kubat and Kanoksri Sarinnapakorn

Intelligent data analysis, Vol.18(4), pp.717-738

2014-06-27

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Collaboration types: Domestic collaboration; International collaboration
Citation topics: 4 Electrical Engineering, Electronics & Computer Science; 4.61 Artificial Intelligence & Machine Learning; 4.61.145 Feature Selection
Web Of Science research areas: Computer Science, Artificial Intelligence
ESI research areas: Computer Science

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Title: Hierarchical multi-label classification with SVMs: A case study in gene function prediction
Creators: Peerapon Vateekul - Department of Computer Engineering, Chulalongkorn University, Bangkok, Thailand
Miroslav Kubat - Department of Electrical and Computer Engineering, University of Miami, Coral Gables, FL, USA
Kanoksri Sarinnapakorn - Hydro Informatics Division, Hydro and Argo Informatics Institute, Bangkok, Thailand
Publication Details: Intelligent data analysis, Vol.18(4), pp.717-738
Academic Unit: College of Engineering; CoE - Electrical & Computer Engineering
Language: English
Resource Type: Journal article
Record Identifier: 991031576377502976