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1-52 z 52.

2023

52.
Rafał Kucharski, Michał Bujak
Ride-pooling service assessment with heterogeneous travellers in non- deterministic setting, Transportation (2023),
51.
Jordy Van Landeghem, Ruben Tito, Łukasz Borchmann, Michał Pietruszka, Paweł Józiak, Powalski Rafał , Jurkiewicz Dawid, Mickael Coustaty, Bertrand Ackaert, Ernest Valveny, Matthew Blaschko, Sien Moens, Tomasz Stanisławek
Document Understanding Dataset and Evaluation (DUDE), IEEE International Conference on Computer Vision [ICCV](MAIN), (2023), 19528-19540
50.
Tomasz Wojnar, Jarosław Hryszko, Adam Roman
Mi-Go: tool which uses YouTube as data source for evaluating general-purpose speech recognition machine learning models , EURASIP Journal on Audio Speech and Music Processing vol. 2024 (2023), 1-17
49.
Rafał Kucharski, Arkadiusz Drabicki, Cats Oded , Szarata Andrzej
Should I stay or should I board? Willingness to wait with real-time crowding information in urban public transport, Research in Transportation Business and Management vol. 47 (2023),
48.
Michał Bujak, Rafał Kucharski
Network structures of urban ride-pooling problems and their properties, Social Network Analysis and Mining vol. 13 (1) 89 (2023), 1-13
47.
Aleksandra Nowak, Bram Grooten, Decebal Constantin Mocanu , Jacek Tabor
Fantastic Weights and How to Find Them: Where to Prune in Dynamic Sparse Training, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2023),
46.
Jarosław Duda, Marcin Niemiec
Lightweight Compression with Encryption Based on Asymmetric Numeral Systems, International Journal of Applied Mathematics and Computer Science vol. 33(1) (2023), 45-55
45.
Jarosław Duda, Józef Pieprzyk, Marcin Pawłowski, Seyit Camtepe, Morawiecki Paweł, Arash Mahboubi
The Compression Optimality of Asymmetric Numeral Systems, Entropy vol. 25(4) (2023), art 25
44.
Mateusz Olko, Michał Zając, Aleksandra Nowak, Nino Scherrer, Yashas Annadani, Stefan Bauer, Łukasz Kuciński, Piotr Miłoś
Trust Your ∇: Gradient-based Intervention Targeting for Causal Discovery, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2023),
43.
Maciej Brzeski, Adam Roman
Measuring Similarity Between ETL ProcessesUsing Graph Edit Distance, Schedae Informaticae vol. 32 (2023), 9-25
42.
Witold Wydmański, Oleksii Bulenok, Marek Śmieja
HyperTab: Hypernetwork Approach for Deep Learning on Small Tabular Datasets, IEEE International Conference on Data Science and Advanced Analytics [DSAA], (2023), 9
41.
Mateusz Przybylski, Marian Mrozek, Jim Wiseman
The Szymczak Functor and Shift Equivalence on the Category of Finite Sets and Finite Relations, Journal of Dynamics and Differential Equations (2023),
40.
Tobiasz Ciepliński, Tomasz Danel, Sabina Podlewska, Stanisław Jastrzębski
Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark, Journal of Chemical Information and Modeling vol. 63 (2023), 3238-3247
39.
Agnieszka Wojtuch, Tomasz Danel, Sabina Podlewska, Łukasz Maziarka
Extended study on atomic featurization in graph neural networks for molecular property prediction, Journal of Cheminformatics (2023),
38.
Bartosz Wójcik, Marcin Przewięźlikowski, Filip Szatkowski, Maciej Wołczyk, Klaudia Bałazy, Bartłomiej Krzepkowski, Igor Podolak, Jacek Tabor, Marek Śmieja, Tomasz Trzciński
Zero time waste in pre-trained early exit neural networks, Neural Networks vol. 168 (2023), 580-601
37.
Jakub Ruszil
Synchronizing Automata with Coinciding Cycles, Developments in Language Theory [DLT], (2023), 208-218
36.
Alesander Skała, Jakub Grela, Dominik Latoń, Katarzyna Bańczyk, Michał Markiewicz, Andrzej Ożadowicz
Implementation of a Building Thermal Model to Improve Energy Efficiency of the Central Heating System - A Case Study , Energies (2023), 6830
35.
Jerzy Martyna
Adaptive Beamforming in mm-Wave 5G Networks, Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne vol. XCII, No. 4 (2023), 382 - 386
34.
Bartosz Zieliński, Dawid Rymarczyk, Weiwei Schultz, Adriana Borowa, Joshua Friedman, Tomasz Danel, Patrick Branigan, Michał Chałupczak, Anna Bracha, Tomasz Krawiec, Michał Warchoł, Katherine Li, Gert De Hertogh, Louis R. Ghanem, Aleksandar Stojmirovic
Deep learning models capture histological disease activity in Crohn’s Disease and Ulcerative Colitis with high fidelity, Journal of Crohns & Colitis vol. 20 (2023), 1-11
33.
Adam Roman, Michał Mnich, Jarosław Hryszko
Empirical Verification of TQED - A New Test Design Heuristic Technique, International Conference on Testing Software and Systems [ICTSS] vol. 14131, Lecture Notes in Computer Science (2023), 1-17
32.
Adam Roman, Jakub Gomułka
Tractatus 6 Reconsidered: An Algorithmic Alternative to Wittgenstein’s Trade-off, History and Philosophy of Logic vol. 45,3 (2023), 323-340
31.
Michał Markiewicz, Aleksander Skała, Jakub Grela, Szymon Janusz, Tadeusz Stasiak, Dominik Latoń, Andrzej Bielecki, Katarzyna Bańczyk
The Architecture for Testing Central Heating Control Algorithms with Feedback from Wireless Temperature Sensors , Energies vol. 16, Special Issue: Performance Evaluation, Thermal Comfort and Energy Efficiency in Buildings (2023), 5584
30.
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
29.
Bartosz Zieliński, Łukasz Struski, Dawid Rymarczyk, Arkadiusz Lewicki, Robert Sabiniewicz, Jacek Tabor
ProMIL: Probabilistic Multiple Instance Learning for Medical Imaging, European Conference on Artificial Intelligence [ECAI] vol. 372 (2023), 2210 - 2217
28.
Bartosz Zieliński, Adam Pardyl, Dawid Rymarczyk, Joanna Jaworek-Korjakowska, Dariusz Kucharski, Andrzej Brodzicki, Julia Lasek, Zofia Schneider, Iwona Kucybała, Andrzej Urbanik, Rafał Obuchowicz, Zbisław Tabor
CompLung: Comprehensive Computer-Aided Diagnosis of Lung Cancer, European Conference on Artificial Intelligence [ECAI] vol. 372 (2023), 1835 - 1842
27.
Bartosz Zieliński, Dawid Rymarczyk, Joost van de Weijer , Bartłomiej Twardowski
ICICLE: Interpretable Class Incremental Continual Learning, IEEE International Conference on Computer Vision [ICCV](MAIN) vol. 2023 (2023), 1887-1898
26.
Klaudia Bałazy, Łukasz Struski, Marek Śmieja, Jacek Tabor
r-softmax: Generalized Softmax with Controllable Sparsity Rate, International Conference on Computational Science [ICCS] vol. Lecture Notes in Computer Science, vol 14074. Springer, Cham (2023), 137-145
25.
Mohammadreza Banaei, Klaudia Bałazy, Artur Kasymov, Rémi Lebret, Jacek Tabor, Karl Aberer
Revisiting Offline Compression: Going Beyond Factorization-based Methods for Transformer Language Models, European Association of Computational Linguistics [EACL] vol. Findings of the Association for Computational Linguistics: EACL 2023 (2023), 1788–1805
24.
Piotr Gaiński, Klaudia Bałazy
Step by Step Loss Goes Very Far: Multi-Step Quantization for Adversarial Text Attacks, European Association of Computational Linguistics [EACL] vol. Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics (2023), 2038–2048
23.
Tomasz Danel, Jan Łęski, Sabina Podlewska, Igor Podolak
Docking-based generative approaches in the search for new drug candidates, Drug Discovery Today vol. 28/2 (2023), 103439
22.
Przemysław Spurek, Karol Piczak, Jacek Tabor, Tomasz Trzciński, Filip Szatkowski
Hypernetworks build Implicit Neural Representations of Sounds, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD] vol. 14172 (2023), 661–676
21.
Przemysław Spurek, Marcin Sendera, Marcin Przewięźlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor
The general framework for few-shot learning by kernel HyperNetworks, Machine Vision and Applications vol. 34 (2023), 53
20.
Maciej Skwirczyński, Zbisław Tabor, Julia Lasek, Zofia Schneider, Sebastian Gibała, Iwona Kucybała, Andrzej Urbanik, Rafał Obuchowicz
Deep Learning Algorithm for Differentiating Patients with a Healthy Liver from Patients with Liver Lesions Based on MR Images, Cancers (2023), 15
19.
Piotr Gaiński, Michał Koziarski, Jacek Tabor, Marek Śmieja
ChiENN: Embracing Molecular Chirality with Graph Neural Networks, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD] vol. Lecture Notes in Computer Science(), vol 14171. Springer, Cham (2023), 36-52
18.
Michał Znaleźniak, Przemysław Rola, Patryk Kaszuba, Jacek Tabor, Marek Śmieja
Contrastive Hierarchical Clustering, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD] vol. Lecture Notes in Computer Science(), vol 14169. Springer, Cham. (2023), 627–643
17.
Adam Roman, Rafał Brożek, Jarosław Hryszko
Predictive Power of Two Data Flow Metrics in Software Defect Prediction, International Conference on Evaluation of Novel Approaches to Software Engineering [ENASE], (2023), 114-125
16.
Krzysztof Misztal, Mirosław Szwed, Witold Żukowski, Rafał Kozłowski
High-Energy Transformations of Fossil Fuels in the Cement Industry, Energies vol. 16(9), 3634 (2023), 1-14
15.
Krzysztof Bartosz, Piotr Bartman-Szwarc, Michał Jureczka, Paweł Szafraniec
Numerical analysis of a non-clamped dynamic thermoviscoelastic contact problem, Nonlinear Analysis: Real World Applications vol. 73 (2023) (2023), 20 stron, nr 103870
14.
Bartosz Zieliński, Adam Pardyl, Grzegorz Rypeść, Grzegorz Kurzejamski, Tomasz Trzciński
Active Visual Exploration Based on Attention-Map Entropy, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2023), 1303-1311
13.
Michał Jureczka, Anna Ochal, Piotr Bartman-Szwarc
A nonsmooth optimization approach for time-dependent hemivariational inequalities, Nonlinear Analysis: Real World Applications vol. 73 (2023), 103871 (19 stron)
12.
Łukasz Struski, Marcin Mazur, Paweł Batorski, Przemysław Spurek, Jacek Tabor
Bounding Evidence and Estimating Log-Likelihood in VAE, International Conference on Artificial Intelligence and Statistics [AISTATS](MAIN) vol. 206 (2023), 5036-5051
11.
Przemysław Spurek, Jacek Tabor, Marcin Sendera, Marcin Przewięźlikowski, Konrad Karanowski, Zięba Maciej
Hypershot: Few-shot learning by kernel hypernetworks, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 2469--2478
10.
Bartosz Zieliński, Witold Oleszkiewicz, Dominika Basaj, Igor Sieradzki, Michał Górszczak, Barbara Rychalska, Koryna Lewandowska, Tomasz Trzcinski
Visual Probing: Cognitive Framework for Explaining Self-Supervised Image Representations, IEEE Access vol. 11 (2023), 13028-13043
9.
Morawiecki Paweł, Andrii Krutsylo, Maciej Wołczyk, Marek Śmieja
Hebbian Continual Representation Learning, Hawaii International Conference on System Sciences [HICSS], (2023), 1259-1268
8.
Adrian Hill, Zachary Lebo, Miroslaw Andrejczuk, Sylwester Arabas, Piotr Dziekan, Paul Field, Andrew Gettelman, Fabian Hoffmann, Hanna Pawlowska, Ryo Onishi, Benoit Vié
Toward a Numerical Benchmark for Warm Rain Processes, Journals of the Atmospheric Sciences (2023),
7.
Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction, SIAM International Conference on Data Mining [SDM] vol. 978-1-61197-765-3 (2023), 379 - 387
6.
Daniel Wilczak, Maciej Capiński, Warwick Tucker, Jason D. Mireles James, Jan Bouwe van den Berg
Computer assisted proofs in dynamical systems, Communications in Nonlinear Science and Numerical Simulation vol. 118 (2023), 106998
5.
Michał Lipiński, Jacek Kubica, Marian Mrozek, Thomas Wanner
Conley-Morse-Forman theory for generalized combinatorial multivector fields on finite topological spaces, Journal of Applied and Computational Topology vol. 7 (2023), 139–184
4.
Mikołaj Sacha, Dawid Rymarczyk, Łukasz Struski, Jacek Tabor, Bartosz Zieliński
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts, IEEE Workshop on Applications of Computer Vision [WACV](MAIN) vol. 2023 (2023), 1481-1492
3.
Łukasz Struski, Tomasz Danel, Marek Śmieja, Jacek Tabor, Bartosz Zieliński
SONGs: Self-Organizing Neural Graphs, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 3837-3846
2.
Bartosz Zieliński, Adriana Borowa, Dawid Rymarczyk, Dorota Ochońska, Agnieszka Sroka-Oleksiak, Monika Brzychczy-Włoch
Identifying bacteria species on microscopic polyculture images using deep learning, IEEE Journal of Biomedical and Health Informatics vol. 27 (1) (2023), 121-130
1.
Bogdan Batko
The Morse Equation in the Conley Index Theory for Discrete Multivalued Dynamical Systems, Journal of Dynamics and Differential Equations vol. 35 (2023), 2725-2742