Katedra Uczenia Maszynowego - lista publikacji

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1-26 z 26.

2024

26.
Farnoud Ghasemi, Rafał Kucharski
Modelling the Rise and Fall of Two-sided Markets, International Joint Conference on Autonomous Agents and Multiagent Systems [AAMAS](MAIN), (2024), 679-687
25.
Rafał Kucharski, Cats Oded
Hyper pooling private trips into high occupancy transit like attractive shared rides, (2024),
24.
Krzysztof Misztal, Ewelina Złotkowska, Anna Wlazło, Małgorzata Kiełkiewicz, Paulina Dziosa, Krzysztof Soja, Anna Barczak-Brzyżek, Marcin Filipecki
Automated imaging coupled with AI-powered analysis accelerates the assessment of plant resistance to Tetranychus urticae, Scientific Reports vol. 14 (2024), 8020
23.
Bartosz Zieliński, Marcin Przewięźlikowski, Mateusz Pyla, Bartłomiej Twardowski, Jacek Tabor, Marek Śmieja
Augmentation-aware self-supervised learning with conditioned projector, Knowledge-Based Systems (2024),
22.
Zięba Maciej , Marcin Przewięźlikowski, Marek Śmieja, Jacek Tabor, Tomasz Trzciński, Przemysław Spurek
RegFlow: Probabilistic Flow-Based Regression for Future Prediction, Asian Conference on Intelligent Information and Database Systems [ACIIDS], (2024), 267–279
21.
Andrzej Bedychaj, Jacek Tabor, Marek Śmieja
StyleAutoEncoder for manipulating image attributes using pre-trained StyleGAN, Pacific-Asia Conference on Knowledge Discovery and Data Mining [PAKDD], (2024), 118-130
20.
Jordy Van Landeghem, Ruben Tito, Łukasz Borchmann, Michał Pietruszka, Jurkiewicz Dawid, Powalski Rafał , Paweł Józiak, Sanket Biswas, Mickael Coustaty, Tomasz Stanisławek
ICDAR 2023 competition on document understanding of everything (DUDE), IEEE International Conference on Document Analysis and Recognition [ICDAR], (2024),
19.
Michał Pietruszka, Michał Turski, Łukasz Borchmann, Tomasz Dwojak, Pałka Gabriela, Karolina Szyndler, Jurkiewicz Dawid, Łukasz Garncarek
STable: Table Generation Framework for Encoder-Decoder Models, European Association of Computational Linguistics [EACL](MAIN), (2024), 2454–2472
18.
Przemysław Spurek, Marcin Przewięźlikowski, Jacek Tabor, Zięba Maciej , Przemysław Przybysz
HyperMAML: Few-shot adaptation of deep models with hypernetworks, Neurocomputing (2024), 128-179
17.
Przemysław Spurek, Tomasz Trzciński, Joanna Waczyńska, Dominik Zimny
Points2NeRF: Generating Neural Radiance Fields from 3D point cloud, Pattern Recognition Letters vol. 185 (2024), 8-14
16.
Przemysław Spurek, Wojciech Zając, Piotr Borycki, Joanna Waczyńska, Jacek Tabor, Zięba Maciej
NeRFlame: Flame-Based Conditioning of NeRF for 3D Face Rendering, International Conference on Computational Science [ICCS](MAIN) vol. 14832 (2024), 346--361
15.
Bartosz Zieliński, Adam Pardyl, Michał Wronka, Maciej Wołczyk, Kamil Adamczewski, Tomasz Trzciński
AdaGlimpse: Active Visual Exploration with Arbitrary Glimpse Position and Scale, European Conference on Computer Vision [ECCV], (2024),
14.
Bartosz Zieliński, Marcin Przewięźlikowski, Marcin Osial, Marek Śmieja
A deep cut into Split Federated Self-Supervised Learning, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD](MAIN), (2024), 444-459
13.
Ewelina Jamrozik, Sabina Podlewska, Marek Śmieja
ADMET-PrInt: Evaluation of ADMET Properties: Prediction and Interpretation, Journal of Chemical Information and Modeling vol. 64 (2024), 1425–1432
12.
Magdalena Proszewska, Maciej Wołczyk, Zięba Maciej , Patryk Wielopolski, Łukasz Maziarka, Marek Śmieja
Multi-Label Conditional Generation from Pre-trained Models, IEEE Transactions on Pattern Analysis and Machine Intelligence (2024), 14
11.
Przemysław Spurek, Sebastian Winczowski, Zięba Maciej , Tomasz Trzcinski, Kacper Kania, Marcin Mazur
Modeling 3D Surfaces with a Locally Conditioned Atlas, International Conference on Computational Science [ICCS](MAIN) vol. 14833 (2024), 100-115
10.
Olha Shulika, Michał Bujak, Farnoud Ghasemi, Rafał Kucharski
Spatiotemporal variability of ride-pooling potential–Half a year New York City experiment, Journal of Transport Geography vol. 114 (2024), 1-12
9.
Przemysław Spurek, Krzysztof Byrski, Jacek Tabor
Gaussian model for closed curves, Expert Systems with Applications vol. 249 part B (2024), 123615
8.
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 vol. 23 (2024), 1181-1188
7.
Łukasz Struski, Paweł Morkisz, Przemysław Spurek, Samuel Rodriguez Bernabeu, Tomasz Trzciński
Efficient GPU implementation of randomized SVD and its applications, Expert Systems with Applications vol. 248 (2024), 123462
6.
Michał Zając, Tinne Tuytelaars, Gido van de Ven
Prediction Error-based Classification for Class-Incremental Learning, International Conference on Learning Representations [ICLR], (2024),
5.
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 vol. 91 (2024),
4.
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) vol. 38 (19) (2024), 21563 - 21573
3.
Adrian Suwała, Bartosz Wójcik, Magdalena Proszewska, Jacek Tabor, Przemysław Spurek, Marek Śmieja
Face Identity-Aware Disentanglement in StyleGAN, IEEE Workshop on Applications of Computer Vision [WACV], (2024), 10
2.
Magdalena Proszewska, Marcin Mazur, Tomasz Trzcinski, Przemysław Spurek
HyperCube: Implicit Field Representations of Voxelized 3D Models (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI] vol. 38 (2024), 23623-23625
1.
Łukasz Struski, Michał Sadowski, Tomasz Danel, Jacek Tabor, Igor T. Podolak
Feature-Based Interpolation and Geodesics in the Latent Spaces of Generative Models, IEEE Transactions on Neural Networks and Learning Systems vol. 35/9 (2024), 12068 - 12082