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Publication search results
found 61 matches
- 2024
- Lukasz Struski, Szymon Janusz, Jacek Tabor, Michal Markiewicz, Arkadiusz Lewicki:
Multiple instance learning for medical image classification based on instance importance. Biomed. Signal Process. Control. 91: 105874 (2024) - Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski:
Efficient GPU implementation of randomized SVD and its applications. Expert Syst. Appl. 248: 123462 (2024) - Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. AAAI 2024: 21563-21573 - Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski:
ProPML: Probability Partial Multi-label Learning. CoRR abs/2403.07603 (2024) - 2023
- Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor:
Bounding Evidence and Estimating Log-Likelihood in VAE. AISTATS 2023: 5036-5051 - Lukasz Struski, Adam Pardyl, Jacek Tabor, Bartosz Zielinski:
ProPML: Probability Partial Multi-label Learning. DSAA 2023: 1-8 - Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski:
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. ECAI 2023: 2210-2217 - Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor:
r-softmax: Generalized Softmax with Controllable Sparsity Rate. ICCS (2) 2023: 137-145 - Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. WACV 2023: 1481-1492 - Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski:
SONGs: Self-Organizing Neural Graphs. WACV 2023: 3837-3846 - Mikolaj Sacha, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts. CoRR abs/2301.12276 (2023) - Klaudia Balazy, Lukasz Struski, Marek Smieja, Jacek Tabor:
r-softmax: Generalized Softmax with Controllable Sparsity Rate. CoRR abs/2304.05243 (2023) - Lukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor, Bartosz Zielinski:
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging. CoRR abs/2306.10535 (2023) - Mikolaj Sacha, Bartosz Jura, Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
Interpretability Benchmark for Evaluating Spatial Misalignment of Prototypical Parts Explanations. CoRR abs/2308.08162 (2023) - Lukasz Struski, Tomasz Urbanczyk, Krzysztof Bucki, Bartlomiej Cupial, Aneta Kaczynska, Przemyslaw Spurek, Jacek Tabor:
MeVGAN: GAN-based Plugin Model for Video Generation with Applications in Colonoscopy. CoRR abs/2311.03884 (2023) - 2022
- Lukasz Struski, Szymon Knop, Przemyslaw Spurek, Wiktor Daniec, Jacek Tabor:
LocoGAN - Locally convolutional GAN. Comput. Vis. Image Underst. 221: 103462 (2022) - Lukasz Maziarka, Marek Smieja, Marcin Sendera, Lukasz Struski, Jacek Tabor, Przemyslaw Spurek:
OneFlow: One-Class Flow for Anomaly Detection Based on a Minimal Volume Region. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 8508-8519 (2022) - Dawid Rymarczyk, Lukasz Struski, Michal Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zielinski:
Interpretable Image Classification with Differentiable Prototypes Assignment. ECCV (12) 2022: 351-368 - Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski:
HyperPocket: Generative Point Cloud Completion. IROS 2022: 6848-6853 - Marcin Przewiezlikowski, Marek Smieja, Lukasz Struski, Jacek Tabor:
MisConv: Convolutional Neural Networks for Missing Data. WACV 2022: 2917-2926 - Lukasz Struski, Marcin Mazur, Pawel Batorski, Przemyslaw Spurek, Jacek Tabor:
Bounding Evidence and Estimating Log-Likelihood in VAE. CoRR abs/2206.09453 (2022) - Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProPaLL: Probabilistic Partial Label Learning. CoRR abs/2208.09931 (2022) - 2021
- Dawid Warszycki, Lukasz Struski, Marek Smieja, Rafal Kafel, Rafal Kurczab:
Pharmacoprint: A Combination of a Pharmacophore Fingerprint and Artificial Intelligence as a Tool for Computer-Aided Drug Design. J. Chem. Inf. Model. 61(10): 5054-5065 (2021) - Marcin Sendera, Lukasz Struski, Przemyslaw Spurek:
Missing Glow Phenomenon: Learning Disentangled Representation of Missing Data. ICONIP (5) 2021: 196-204 - Dawid Rymarczyk, Lukasz Struski, Jacek Tabor, Bartosz Zielinski:
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification. KDD 2021: 1420-1430 - Przemyslaw Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Slawomir Konrad Tadeja, Lukasz Struski, Jacek Tabor, Tomasz Trzcinski:
HyperPocket: Generative Point Cloud Completion. CoRR abs/2102.05973 (2021) - Lukasz Struski, Tomasz Danel, Marek Smieja, Jacek Tabor, Bartosz Zielinski:
SONG: Self-Organizing Neural Graphs. CoRR abs/2107.13214 (2021) - Marcin Sendera, Marek Smieja, Lukasz Maziarka, Lukasz Struski, Przemyslaw Spurek, Jacek Tabor:
Flow-based SVDD for anomaly detection. CoRR abs/2108.04907 (2021) - Dawid Warszycki, Lukasz Struski, Marek Smieja, Rafal Kafel, Rafal Kurczab:
Pharmacoprint - a combination of pharmacophore fingerprint and artificial intelligence as a tool for computer-aided drug design. CoRR abs/2110.01339 (2021) - Lukasz Struski, Pawel M. Morkisz, Przemyslaw Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzcinski:
Efficient GPU implementation of randomized SVD and its applications. CoRR abs/2110.03423 (2021)
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