Selected books
- Jacek Tabor, Marek Śmieja, Łukasz Struski, Przemysław Spurek, Maciej Wołczyk, „Głębokie uczenie. Wprowadzenie”, Helion, 2022
Most significant publications
- Łukasz Struski, Szymon Knop, Jacek Tabor, Daniec Wiktor, Przemysław Spurek, LocoGAN—Locally convolutional GAN, Computer Vision and Image Understanding 221 (2022), 103462
- Łukasz Struski, Marek Śmieja, Jacek Tabor, Pointed subspace approach to incomplete data, Journal of Classification 37 (2020), 42-57
- Marek Śmieja, Łukasz Struski, Jacek Tabor, Mateusz Marzec, Generalized RBF kernel for incomplete data, Knowledge-Based Systems 173 (2019), 150-162
- Łukasz Struski, Przemysław Spurek, Jacek Tabor, Marek Śmieja, Projected memory clustering, Pattern Recognition Letters 123 (2019), 9-15
- Marek Śmieja, Łukasz Struski, Jacek Tabor, Bartosz Zieliński, Przemysław Spurek, Processing of missing data by neural networks, Advances in Neural Information Processing Systems 31 (2018), 2719-2729
Recent publications
- Bartosz Zieliński, Adriana Borowa, Dawid Rymarczyk, Marek Żyła, Marek Kańduła, Ana Sánchez-Fernández, Krzysztof Rataj, Łukasz Struski, Jacek Tabor, Decoding Phenotypic Screening: A Comparative Analysis of Image Representations, Computational and Structural Biotechnology Journal 23 (2024), 1181-1188
- Łukasz Struski, Paweł Morkisz, Przemysław Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzciński, Efficient GPU implementation of randomized SVD and its applications, Expert Systems with Applications 248 (2024), 123462
- Bartosz Zieliński, Mikołaj Sacha, Bartosz Jura, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) 38 (19) (2024), 21563 - 21573
- Łukasz Struski, Szymon Janusz, Jacek Tabor, Michał Markiewicz, Arkadiusz Lewicki, Multiple instance learning for medical image classification based on instance importance, Biomedical Signal Processing and Control (2023),
- Łukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zieliński, ProPML: Probability Partial Multi-label Learning, IEEE International Conference on Data Science and Advanced Analytics [DSAA], (2023), 1-8
Interests
Research interests: clustering methods, machine learning, deep learning
Łukasz Struski
academic degree/title Doctor of Philosophy (PhD) positionresearch and faculty staff member group, assistant professor
unit
- Department of Applied Mathematics
- Institute of Mathematics
- Group of Machine Learning Research (GMUM)
lukasz.struski@uj.edu.pl