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Department of Artificial Intelligence
← Representation Learning Group

Publications

Publications assigned to this group and public publications confirmed in the research records of its current members.

Publications: 163

  1. Multiple Classifier Method for Structured Output Prediction based on Error Correcting Output Codes

    Tomasz Kajdanowicz, Michał Woźniak, Przemysław Kazienko

    2011

  2. Structured Output Element Ordering in Boosting-Based Classification

    Tomasz Kajdanowicz, Przemysław Kazienko

    Lecture notes in computer science · 2011

  3. A model for collaborative scheduling based on competencies

    Tomasz Kajdanowicz

    2011

  4. Privacy-preserving data mining, sharing and publishing

    Katarzyna Pasierb, Tomasz Kajdanowicz, Przemysław Kazienko

    Journal of Medical Informatics & Technologies · 2011

  5. Social Network Analysis in Marketing

    Przemysław Kazienko, Piotr Doskocz, Tomasz Kajdanowicz

    Advances in electronic commerce (AEC) book series/Advances in electronic commerce series · 2011

  6. Training set selection using entropy based distance

    Tomasz Kajdanowicz, Sławomir Plamowski, Przemysław Kazienko

    2011 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT), Amman, Jordan, Dec 6-8 · 2011

  7. Learning order in boosting-based classification of structured output elements

    Tomasz Kajdanowicz, Przemysław Kazienko

    European Conferences on Machine Learning and Principles and Practice of Knowledge Discovery in Database, ECML PKDD 2011, CoLISD 2011 · 2011

  8. Multidimensional social network

    Przemysław Kazienko, Katarzyna Musiał, Elżbieta Kukla, Tomasz Kajdanowicz, Piotr Bródka, Katarzyna Musial-Gabrys

    ICCCI 2011 · 2011

  9. A Generic Model for a Multidimensional Temporal Social Network

    Przemysław Kazienko, Elżbieta Kukla, Tomasz Kajdanowicz, Piotr Bródka, Jarosław Gaworecki, Katarzyna Musiał

    ICeND 2011 · 2011

  10. Boosting-based sequential output prediction

    Tomasz Kajdanowicz, Przemysław Kazienko

    New Generation Computing · 2011

  11. An assessment of node classification accuracy in Social Networks using label-dependent feature extraction

    Tomasz Kajdanowicz, Przemysław Kazienko, Piotr Doskocz, Krzysztof Litwin

    Knowledge management, information systems, e-learning, and sustainability research · 2010

  12. A method for business sequential data prediction

    Tomasz Kajdanowicz, Przemysław Kazienko

    Journal of the Association for Information Systems · 2010

  13. A method of label-dependent feature extraction in social networks

    Tomasz Kajdanowicz, Przemysław Kazienko, Piotr Doskocz

    Lecture Notes in Artificial Intelligence · 2010

  14. Boosting algorithm with sequence-loss cost function for structured prediction

    Tomasz Kajdanowicz, Przemysław Kazienko, Jan Kraszewski

    Lecture Notes in Artificial Intelligence · 2010

  15. Label-dependent feature extraction in social networks for node classification

    Tomasz Kajdanowicz, Przemysław Kazienko, Piotr Doskocz

    Lecture Notes in Computer Science · 2010

  16. Base classifiers in boosting-based classification of sequential structures

    Przemysław Kazienko, Tomasz Kajdanowicz

    Neural Network World · 2010

  17. Incremental prediction for sequential data

    Tomasz Kajdanowicz, Przemysław Kazienko

    Lecture Notes in Artificial Intelligence · 2010

  18. Hybrid repayment prediction for debt portfolio

    Tomasz Kajdanowicz, Przemysław Kazienko

    Lecture Notes in Artificial Intelligence · 2009

  19. Computational method for claim portfolio valuation

    Tomasz Kajdanowicz, Przemysław Kazienko

    2009 Eighth Mexican International Conference on Artificial Intelligence, MICAI 2009, 9-13 November 2009, Guanajuato, Mexico · 2009

  20. Prediction of sequential values for debt recovery

    Tomasz Kajdanowicz, Przemysław Kazienko

    Lecture Notes in Computer Science · 2009