Ole Winther

Ole Winther

Associate Professor

Richard Petersens Plads, Building 321, Room 115

2800 Lyngby

Denmark

Phone: 45253895

Fax: 45872599

Ole Winther’s (OW) research subject is machine learning. Machine learning combines statistical modelling and artificial intelligence, drawing inspiration from neuroscience for model building and often deals with large amounts of data. OW works with methods development and applications in bioinformatics (computer-driven large scale biological data analysis), neuroinformatics, wireless and optical communication and recommender systems. For example, collaborative filtering can be used to learn personalized movie recommendations from data bases of the users' taste. The fundamental methods have many application in the information society and modern data-driven sciences. OW has published 65+ scientific papers, has supervised/is currently supervising 10+ PhD-students plus 20+ master projects and is collaborating with companies and research institutions such as Nokia, GN ReSound, greenstream.dk and Biotech Research and Innovation Centre (BRIC), University of Copenhagen (KU). Ole Winther (Cand. Scient. physics, Bac. computer science, 94 and PhD physics 98, KU) has been post doc at Lund University, Sweden and Center for Biological Sequence Analyse, Technical University of Denmark (DTU). OW is associate professor at Cognitive Systems (CogSys), DTU Informatics (IMM), DTU and agroup leader Bioinformatics, KU. More information is available from http://cogsys.imm.dtu.dk/staff/winther/ .

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  • Journal of Machine Learning Research

    ISSNs: 1533-7928, 1532-4435, 1533-7928, 15324435

    ISSNs (Electronic): 1533-7928

    M I T Press, United States

    FI (2013): 2, ISI indexed (2013): yes

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    Journal

  • Neurocomputing

    ISSNs: 0925-2312

    Elsevier BV, Netherlands

    FI (2013): 1, ISI indexed (2013): yes

    Central database

    Journal

  • Neural Computation

    ISSNs: 0899-7667

    M I T Press, United States

    FI (2013): 2, ISI indexed (2013): yes

    Central database

    Journal

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  • IEEE, 0-7803

    Central database

    Publisher

  • Springer, 0-387

    Central database

    Publisher

  • MIT Press, 0-262

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