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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. Preface

    Halina Kwaśnicka, Lakhmi C Jain

    Advances in Intelligent Systems and Computing · 2018

  2. Beta-Boosted Ensemble for Big Credit Scoring Data

    Maciej M. Zięba, Wolfgang Härdle

    Handbook of Big Data Analytics · 2018

  3. BinGAN: Learning Compact Binary Descriptors with a Regularized GAN

    Maciej M. Zięba, Piotr W Semberecki, Tarek El-Gaaly, Tomasz Trzciński

    NeurIPS 2018 · 2018

  4. Barley variety recognition with viewpoint-aware double-stream convolutional neural networks

    Przemysław Dolata, Jacek Reiner

    Proceedings of the 2018 Federated Conference on Computer Science and Information Systems · 2018

  5. Gaussian process regression for automated signal tracking in step-wise perturbed Nuclear Magnetic Resonance spectra

    Maciej M. Zięba, Piotr J Klukowski, Adam F Gonczarek, Yaroslav Nikolaev, Michał J Walczak

    Applied Soft Computing · 2018

  6. Similarity-based summarization of music files for support vector machines

    Jan F. Jakubik, Halina Kwaśnicka

    Complexity · 2018

  7. Introduction to the special section on Nature Inspired Methods in Industry Applications

    Halina Kwaśnicka, Adam Słowik

    IEEE Transactions on Industrial Informatics · 2018

  8. Deep learning - a new era in bridging the semantic gap

    Urszula Markowska-Kaczmar, Halina Kwaśnicka

    Bridging the semantic gap in image and video analysis · 2018

  9. Nature inspired methods and their industry applications - swarm intelligence algorithms

    Halina Kwaśnicka, Adam Słowik

    IEEE Transactions on Industrial Informatics · 2018

  10. NMRNet: a deep learning approach to automated peak picking of protein NMR spectra

    Piotr J. Klukowski, Michał Augoff, Maciej M Zięba, Maciej K Drwal, Adam F Gonczarek, Michał J Walczak

    Bioinformatics · 2018

  11. On high dimensional searching spaces and learning methods

    Hossein Yazdani, Kazimierz Choroś, Halina Kwaśnicka, Daniel Ortiz-Arroyo

    Data science and big data · 2017

  12. Music emotion analysis using semantic embedding recurrent neural networks

    Jan F. Jakubik, Halina Kwaśnicka

    INISTA 2017 · 2017

  13. Evaluation of barley grain quality with convolutional neural networks

    Przemysław Dolata, Mariusz Mrzygłód, Jacek Reiner

    Raporty Wydziału Mechanicznego Politechniki Wrocławskiej. 2017, Ser. PRE · 2017

  14. Training triplet networks with GAN

    Maciej M. Zięba, Lei Wang

    Raporty Wydziału Informatyki i Zarządzania Politechniki Wrocławskiej. 2017, Ser. PRE · 2017

  15. Preface

    Jerzy Świątek, Jakub M Tomczak, Adam F Gonczarek, Maciej M Zięba, Adam Grzech, Paweł R Świątek, Grzegorz Filcek, Maciej Hojda, Dariusz Gąsior

    Advances in Systems Science · 2017

  16. Double-stream convolutional neural networks for machine vision inspection of natural products

    Przemysław Dolata, Mariusz Mrzygłód, Jacek Reiner

    Applied Artificial Intelligence · 2017

  17. Complex networks in the epidemic modelling

    Tomasz Biegus, Halina Kwaśnicka

    ACIIDS 2017 · 2017

  18. Applying bounded fuzzy possibilistic method on critical objects

    Hossein Yazdani, Kazimierz Choroś, Halina Kwaśnicka, Daniel Ortiz-Arroyo

    2016

  19. Hierarchical Evolutionary Multi-biclustering

    Anna M. Filipiak, Halina Kwaśnicka

    ACIIDS 2016 · 2016

  20. Ensemble boosted trees with synthetic features generation in application to bankruptcy prediction

    Maciej M. Zięba, Sebastian K Tomczak, Jakub M Tomczak

    Expert Systems with Applications · 2016