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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. Hierarchical data generator based on tree-structured stick breaking process for benchmarking clustering methods

    Łukasz P. Olech, Michał Spytkowski, Halina Kwaśnicka, Zbigniew Michalewicz

    Information Sciences · 2021

  2. Morphological analysis of histopathological images using deep learning

    Artur Zawisza, Martin Tabakow, Konrad Karanowski, Krzysztof J Galus

    ICCCI 2021 · 2021

  3. Pix2Trips - a system supporting small groups of urban tourists

    Halina Kwaśnicka, Tsvetan Ovedenski

    Proceedings of the 16th Conference on Computer Science and Intelligence Systems, September 2-5, online · 2021

  4. How to catch them all? Enhanced data collection for emotion recognition in the field

    Maciej Dzieżyc, Joanna Komoszyńska, Stanisław Saganowski, Magda Boruch, Jakub Dziwiński, Katarzyna Jabłońska, Dominika Kunc, Przemysław Kazienko

    2021

  5. Generative modeling in application to point cloud completion

    Maciej Zamorski, Maciej M Zięba, Jerzy Świątek

    ICAISC 2020 · 2020

  6. Hypernetwork approach to generating point clouds

    Maciej Zamorski, Maciej M Zięba, Przemysław Spurek, Sebastian Winczowski, Jacek Tabor, Tomasz Trzciński

    Proceedings of the 37th International Conference on Machine Learning, ICML 2020, 13-18 July 2020, Virtual Event · 2020

  7. Comparison of aggregation functions for 3D point clouds classification

    Maciej Zamorski, Maciej M Zięba, Jerzy Świątek

    ACIIDS 2020 · 2020

  8. UCSG-NET - Unsupervised Discovering of Constructive Solid Geometry Tree

    Kacper Kania, Maciej M Zięba, Tomasz Kajdanowicz

    NeurIPS 2020 · 2020

  9. Post-training quantization methods for deep learning models

    Maciej M Zięba, Piotr Kluska

    ACIIDS 2020 · 2020

  10. Evolutionary algorithms and their applications to engineering problems

    Halina Kwaśnicka, Adam Słowik

    Neural Computing & Applications · 2020

  11. Adversarial autoencoders for compact representations of 3D point clouds

    Maciej Zamorski, Maciej M Zięba, Piotr J Klukowski, Rafał C Nowak, Karol Kurach, Wojciech Stokowiec, Tomasz Trzciński

    Computer Vision and Image Understanding · 2020

  12. Semi-supervised representation learning for 3D point clouds

    Adrian Zdobylak, Maciej M Zięba

    ACIIDS 2020 · 2020

  13. Generative Adversarial Networks: recent developments

    Maciej Zamorski, Adrian Zdobylak, Maciej M Zięba, Jerzy Świątek

    ICAISC 2019 · 2019

  14. A new F-score gradient-based training rule for the linear model

    Mariusz T. Paradowski, Michał Spytkowski, Halina Kwaśnicka

    Pattern Analysis and Applications · 2019

  15. Improving real-time performance of U-Nets for machine vision in laser process control

    Przemysław Dolata, Jacek Reiner

    Proceedings of the 2019 Federated Conference on Computer Science and Information Systems · 2019

  16. Conditional invertible flow for point cloud generation

    Maciej Zamorski, Maciej M Zięba, Michał Stypułkowski, Jan Chorowski

    2019

  17. Semi-supervised learning with Bidirectional GANs

    Maciej Zamorski, Maciej M Zięba

    ACIIDS 2019 · 2019

  18. Sztuczna inteligencja - sukcesy i obawy

    Halina Kwaśnicka

    Innowacje technologiczne w teorii i praktyce · 2019

  19. Bridging the semantic gap in image and video analysis

    Halina Kwaśnicka, Lakhmi C Jain

    Intelligent Systems Reference Library · 2018

  20. Semantic gap in image and video analysis

    Halina Kwaśnicka

    Bridging the semantic gap in image and video analysis · 2018