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Department of Artificial Intelligence
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Publications

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

Publications: 356

  1. Self-paced learning for imbalanced data

    Maciej M. Zięba, Jakub M Tomczak, Jerzy Świątek

    ACIIDS 2016 · 2016

  2. Issues on critical objects in mining algorithms

    Hossein Yazdani, Halina Kwaśnicka

    2016

  3. Hierarchy of groups evaluation using different F-score variants

    Michał Spytkowski, Łukasz P Olech, Halina Kwaśnicka

    ACIIDS 2016 · 2016

  4. New similarity functions

    Hossein Yazdani, Halina Kwaśnicka, Daniel Ortiz-Arroyo

    2016

  5. Sparse coding methods for music induced emotion recognition

    Jan F. Jakubik, Halina Kwaśnicka

    Proceedings of the 2016 Federated Conference on Computer Science and Information Systems · 2016

  6. RBM-SMOTE: restricted Boltzmann machines for synthetic minority oversampling technique

    Maciej M. Zięba, Jakub M Tomczak, Adam F Gonczarek

    ACIIDS 2015 · 2015

  7. Boosted SVM with active learning strategy for imbalanced data

    Maciej M. Zięba, Jakub M Tomczak

    Soft Computing · 2015

  8. Classification restricted Boltzmann machine for comprehensible credit scoring model

    Jakub M. Tomczak, Maciej M Zięba

    Expert Systems with Applications · 2015

  9. Probabilistic combination of classification rules and its application to medical diagnosis

    Jakub M. Tomczak, Maciej M Zięba

    Machine Learning · 2015

  10. Ensemble SVM for imbalanced data

    Maciej M. Zięba, Jakub M Tomczak

    ICSS 2013 · 2014

  11. Indukcja reguł dla danych niekompletnych i niezbalansowanych: modele klasyfikatorów i próba ich zastosowania do predykcji ryzyka operacyjnego w torakochirurgii

    Marek Lubicz, Maciej M Zięba, Adam Rzechonek, Konrad Pawelczyk, Marek Marciniak, Jerzy Kołodziej

    Taksonomia · 2014

  12. Guest editorial

    Bartosz Krawczyk, Urszula Markowska-Kaczmar, Halina Kwaśnicka

    Applied Artificial Intelligence · 2014

  13. Zespoły klasyfikatorów SVM dla danych niezbalansowanych.Raporty Inst

    Maciej M. Zięba

    Inform. PWroc. 2014, Ser. PRE · 2014

  14. Cost sensitive SVM with non-informative examples elimination for imbalanced postoperative risk management problem

    Maciej M. Zięba, Jerzy Świątek, Marek Lubicz

    Advances in Systems Science · 2014

  15. Selecting right guestions with restricted Boltzmann Machines

    Maciej M. Zięba, Jakub M Tomczak, Krzysztof Brzostowski

    Progress in systems engineering · 2014

  16. Asking right questions basing on incomplete data using restricted Boltzmann machines

    Maciej M. Zięba, Jakub M Tomczak, Krzysztof Brzostowski

    Information systems architecture and technology · 2014

  17. Boosted SVM for extracting rules from imbalanced data in application to prediction of the post-operative life expectancy in the lung cancer patients

    Maciej M. Zięba, Jakub M Tomczak, Marek Lubicz, Jerzy Świątek

    Applied Soft Computing · 2014

  18. HER-2/neu Breast Cancer Diagnosis Procedure, Based on Histopathology Image Analysis

    Martin Tabakow, Halina Kwaśnicka, Paweł Kozak, Marta Tabakow, Bartosz Pula

    IWBBIO 2014 · 2014

  19. Service-oriented medical system for supporting decisions with missing and imbalanced data

    Maciej M. Zięba

    IEEE Journal of Biomedical and Health Informatics · 2014

  20. Ensemble SVM for imbalanced data and missing values in postoperative risk management

    Maciej M. Zięba, Jerzy Świątek

    2013