Instytut Informatyki i Matematyki Komputerowej - lista publikacji
Nadjednostka:
Podjednostki:
1-200 z 849.
2023
849.
Alesander Skała, Jakub Grela, Dominik Latoń, Katarzyna Bańczyk, Michał Markiewicz, Andrzej Ożadowicz
848.
Adaptive Beamforming in mm-Wave 5G Networks, Przegląd Telekomunikacyjny + Wiadomości Telekomunikacyjne vol. XCII, No. 4 (2023), 382 - 386
847.
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
846.
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
845.
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
844.
ProPaLL: Probabilistic Partial Label Learning, International Conference on Neural Information Processing [ICONIP](MAIN), (2023),
843.
ProPML: Probability Partial Multi-label Learning, IEEE International Conference on Data Science and Advanced Analytics [DSAA], (2023),
842.
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], (2023),
841.
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], (2023),
840.
Bartosz Zieliński, Dawid Rymarczyk, Joost van de Weijer , Bartłomiej Twardowski
ICICLE: Interpretable Class Incremental Continual Learning, IEEE International Conference on Computer Vision [ICCV](MAIN), (2023),
839.
r-softmax: Generalized Softmax with Controllable Sparsity Rate, International Conference on Computational Science [ICCS], (2023),
838.
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
837.
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
836.
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
835.
Hypernetworks build Implicit Neural Representations of Sounds, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD], (2023),
834.
Przemysław Spurek, Marcin Sendera, Marcin Przewięźlikowski, Jan Miksa, Mateusz Rajski, Konrad Karanowski, Maciej Zieba, Jacek Tabor
833.
Maciej Skwirczyński, Zbisław Tabor, Julia Lasek, Zofia Schneider, Sebastian Gibała, Iwona Kucybała, Andrzej Urbanik, Rafał Obuchowicz
832.
ChiENN: Embracing Molecular Chirality with Graph Neural Networks, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD], (2023), 16
831.
Contrastive Hierarchical Clustering, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD], (2023), 16
830.
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
829.
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
828.
827.
Active Visual Exploration Based on Attention-Map Entropy, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2023), 1303-1311
826.
825.
824.
Bounding Evidence and Estimating Log-Likelihood in VAE, International Conference on Artificial Intelligence and Statistics [AISTATS](MAIN) vol. 206 (2023), 5036-5051
823.
822.
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
821.
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
820.
Morawiecki Paweł, Andrii Krutsylo, Maciej Wołczyk, Marek Śmieja
Hebbian Continual Representation Learning, Hawaii International Conference on System Sciences [HICSS], (2023), 1259-1268
819.
Adrian Hill, Zachary Lebo, Miroslaw Andrejczuk, Sylwester Arabas, Piotr Dziekan, Paul Field, Andrew Gettelman, Fabian Hoffmann, Hanna Pawlowska, Ryo Onishi, Benoit Vié
818.
Dawid Rymarczyk, Daniel Dobrowolski, Tomasz Danel
ProGReST: Prototypical Graph Regression Soft Trees for Molecular Property Prediction, SIAM International Conference on Data Mining [SDM], (2023),
817.
Jakub Banaśkiewicz, Alexandre Nolasco de Carvalho, Juan Garcia-Fuentes, Piotr Kalita
816.
Daniel Wilczak, Maciej Capiński, Warwick Tucker, Jason D. Mireles James, Jan Bouwe van den Berg
815.
814.
ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 1481-1492
813.
SONGs: Self-Organizing Neural Graphs, IEEE Workshop on Applications of Computer Vision [WACV](MAIN), (2023), 3837-3846
812.
Bartosz Zieliński, Adriana Borowa, Dawid Rymarczyk, Dorota Ochońska, Agnieszka Sroka-Oleksiak, Monika Brzychczy-Włoch
811.
Jarosław Flis, Wojciech Słomczyński, Jacek Sokołowski, Dariusz Stolicki, Stanisław Szufa
Skrzywione szranki. Na tropach gerrymanderingu w polskich wyborach do rad gmin w 2014 r., Wydawnictwo Uniwersytetu Jagiellońskiego, 2023
2022
810.
Aleksandra Nowak, Romuald A. Janik
Discovering wiring patterns influencing neural network performance, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database (PKDD and ECML combined from 2008) [ECML PKDD] vol. Lecture Notes in Computer Science, vol 13715. Springer, Cham (2022), 631-646
809.
Adam Roman, Jakub Gomułka
808.
Marian Mrozek, Roman Srzednicki, Justin Thorpe, Thomas Wanner
Combinatorial vs. classical dynamics: Recurrence, Communications in Nonlinear Science and Numerical Simulation vol. 108 (2022), 106226(1--30)
807.
806.
Jakub Hryc, Robert Szczelina, Michał Markiewicz, Marta Pasenkiewicz-Gierula
805.
Romuald A. Janik, Igor Podolak, Łukasz Struski, Anna Ceglarek, Koryna Lewandowska, Barbara Sikora-Wachowicz, Tadeusz Marek, Magdalena Fąfrowicz
804.
Tamal Dey, Michał Lipiński, Marian Mrozek, Ryan Slechta
Tracking dynamical features via continuation and persistence, International Symposium on Computational Geometry [SoCG], (2022), 35:1-35:17
803.
Jarosław Żygierewicz, Romuald A. Janik, Igor Podolak, Alan Drozd, Urszula Malinowska, Martyna Poziomska, Jakub Wojciechowski, Paweł Ogniewski, Paweł Niedbalski, Iwona Terczyńska, Jacek Rogala
802.
801.
Jeongbin Park, Gilles Duvert, Alain Coulais, Gregory V. Jung, Sylwester Arabas, Brian Barker, Takeshi Enomoto, Sylvain Flinois, Oliver Gressel, Tomas Hillberg, Thibault Huillet, Jan Kohnert, Orion Poplawski, Eloi Rozier de Linage, Remi A. Solås, Luke Stagner, Ole Streicher, James Tappin, Thierry Thomas, Jingwei Wang, Christian Wimmer
GNU Data Language 1.0: a free/libre and open-source drop-in replacement for IDL/PV-WAVE, Journal of Open Source Software vol. 7(80) (2022), 4633
800.
Rafał Kucharski, Cats Oded , Jaime Soza-Parra
799.
Tamal K. Dey, Michał Lipiński, Marian Mrozek, Ryan Slechta
Tracking Dynamical Features via Continuation and Persistence, 38th International Symposium On Computational Geometry (socg 2022) (2022),
798.
797.
Przemysław Spurek, Przemysław Stachura, Ivan Kostiuk, Sławomir K. Tadeja, Tomasz Trzciński
796.
795.
794.
793.
Maciej Wołczyk, Michał Zając, Razvan Pascanu, Łukasz Kuciński, Piotr Miłoś
Disentangling Transfer in Continual Reinforcement Learning, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2022),
792.
Tomasz Trzciński, Kamil Deja, Paweł Wawrzynski , Wojciech Masarczyk , Daniel Marczak
Multiband VAE: latent space alignment for knowledge consolidation in continual learning, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2022), 2902-2908
791.
SLOVA: Uncertainty estimation using single label one-vs-all classifier, Applied Soft Computing Journal vol. 126 (2022), 109219
790.
Krzysztof Misztal, Anna Drożdż, Tomasz Kołodziej, Sonia Wróbel, Natalia Targosz-Korecka, Marek Drab, Robert jach, Carina Rząca, Magdalena Surman, Małgorzata Przybyło, Zenon Rajfur, Ewa Ł. Stępień
789.
Piotr Faliszewski, Krzysztof Sornat , Stanisław Szufa
The Complexity of Subelection Isomorphism Problems, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN), (2022), 4991-4998
788.
Automating Patient-Level Lung Cancer Diagnosis in Different Data Regimes, International Conference on Neural Information Processing [ICONIP](MAIN) vol. Communications in Computer and Information Science 1794 (2022), 13–24
787.
786.
Piotr Bartman-Szwarc, Jakub Banaśkiewicz, Szymon Drenda, Maciej Manna, Michael Olesik, Paweł Rozwoda, Michał Sadowski, Sylwester Arabas
PyMPDATA v1: Numba-accelerated implementation of MPDATA with examples in Python, Julia and Matlab, Journal of Open Source Software vol. 7(77) (2022),
785.
Przemysław Spurek, Artur Kasymov, Marcin Mazur, Diana Janik, Sławomir K. Tadeja, Łukasz Struski, Jacek Tabor, Tomasz Trzciński
HyperPocket: generative point cloud completion, IEEE/RSJ International Conference on Intelligent Robots and Systems [IROS], (2022), 6848-6853
784.
Batch size reconstruction-distribution trade-off in kernel based generative autoencoders, IEEE International Conference on Image Processing [ICIP], (2022), 3728-3732
783.
HuggingMolecules: An Open-Source Library for Transformer-Based Molecular Property Prediction (Student Abstract), National Conference of the American Association for Artificial Intelligence [AAAI], (2022), 12949-12950
782.
On the relationship between disentanglement and multi-task learning, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD](MAIN), (2022),
781.
Nonlinear Weighted Independent Component Analysis, International Conference on Information Processing and Management of Uncertainty [IPMU] vol. II (2022), 3–16
780.
Target layer regularization for continual learning using Cramer-Wold distance, Information Sciences vol. 609 (2022), 1369-1380
779.
Przemysław Spurek, Jacek Tabor, Piotr Tempczyk, Rafał Michaluk, Łukasz Garncarek, Adam Golinski
LIDL: Local Intrinsic Dimension Estimation Using Approximate Likelihood, International Conference on Machine Learning [ICML](MAIN), (2022), 21205-21231
778.
Jacek Tabor, Maciej Wołczyk, Karol Piczak, Bartosz Wójcik, Łukasz Pustelnik, Morawiecki Paweł, Tomasz Trzcinski, Przemysław Spurek
Continual Learning with Guarantees via Weight Interval Constraints, International Conference on Machine Learning [ICML](MAIN), (2022), 23897-23911
777.
Jarosław Duda, Seyit Camtepe, Arash Mahboubi, Morawiecki Paweł, Surya Nepal, Marcin Pawłowski, Józef Pieprzyk
ANS-based Compression and Encryption with 128-bit Security, International Journal of Information Security vol. 21 (2022), 1051–1067
776.
Dawid Rymarczyk, Łukasz Struski, Michał Górszczak, Koryna Lewandowska, Jacek Tabor, Bartosz Zieliński
Interpretable Image Classification with Differentiable Prototypes Assignment, European Conference on Computer Vision [ECCV](MAIN) vol. Lecture Notes in Computer Science 13672 (2022), 351-368
775.
Naumov Vitalii, Olha Shulika, Oleksandra Orda, Hanna Vasiutina, Marek Bauer, Myroslav Oliskevych
774.
Rafał Kucharski, Cats Oded
Simulating two-sided mobility platforms with MaaSSim, PLoS One vol. 17(6) (2022), e0269682
773.
ProtoMIL: Multiple Instance Learning with Prototypical Parts for Whole-Slide Image Classification, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Database [ECML PKDD](MAIN) vol. Lecture Notes in Computer Science 13713 (2022), 421-436
772.
LocoGAN—Locally convolutional GAN, Computer Vision and Image Understanding vol. 221 (2022), 103462
771.
Piotr Bartman-Szwarc, Oleksii Bulenok, Kamil Górski, Anna Jaruga, Grzegorz Łazarski, Michael Olesik, Bartosz Piasecki, Clare Singer, Aleksandra Talar, Sylwester Arabas
PySDM v1: particle-based cloud modelling package for warm-rain microphysics and aqueous chemistry, Journal of Open Source Software vol. 7(72) (2022), 3219
770.
Michael Olesik, Jakub Banaśkiewicz, Piotr Bartman-Szwarc, Manuel Baumgartner, Simon Unterstrasser, Sylwester Arabas
769.
Bernhard C. Geiger, Sophie Steger, Marek Śmieja
Semi-Supervised Clustering via Information-Theoretic Markov Chain Aggregation, ACM Symposium on Applied Computing [SAC](MAIN), (2022), 1136-1139
768.
Maciej Wołczyk, Magdalena Proszewska, Łukasz Maziarka, Zięba Maciej , Patryk Wielopolski, Rafał Kurczab, Marek Śmieja
PluGeN: Multi-Label Conditional Generation From Pre-Trained Models, National Conference of the American Association for Artificial Intelligence [AAAI](MAIN) vol. 36/8 (2022), 8647-8656
767.
Maciej Capiński, Marcel Guardia, Pau Martin , Tere Seara, Piotr Zgliczyński
766.
765.
Łukasz Borchmann, Łukasz Garncarek, Michał Pietruszka
Sparsifying Transformer Models with Trainable Representation Pooling, Association of Computational Linguistics [ACL](MAIN), (2022),
764.
Weakly-supervised cell classification for effective High Content Screening, International Conference on Computational Science [ICCS](MAIN) vol. Lecture Notes in Computer Science 13350 (2022), 318–330
763.
Dominika Basaj, Witold Oleszkiewicz, Tomasz Trzciński, Bartosz Zieliński
Which Visual Features Impact the Performance of Target Task in Self-supervised Learning?, International Conference on Computational Science [ICCS](MAIN) vol. Lecture Notes in Computer Science 13350 (2022), 331–344
762.
Reliability- and Availability-aware Mapping of Service Function Chains in Softwarized 5G Networks vol. Lecture Notes in Networks and Systems, book series (LNNS, volume 484) (2022), "Theory and Engineering of Dependable Computer Systems and Networks", Springer
761.
760.
759.
Generative models with kernel distance in data space, Neurocomputing vol. 487 (2022), 119-129
758.
Marian Mrozek, Roman Srzednicki, Justin Thorpe, Thomas Wanner
Combinatorial vs. classical dynamics: Recurrence, Communications in Nonlinear Science and Numerical Simulation vol. 108 (2022), 106226, 1-30
757.
Banet Krystian, Rafał Kucharski, Naumov Vitalii
Using city-bike stopovers to reveal spatial patterns of urban attractiveness, Current Issues in Tourism vol. 25:18 (2022), 2887-2904
756.
Fielbaum Andres, Alonso-Mora Javier, Rafał Kucharski, Cats Oded
How to split the costs and charge the travellers sharing a ride? aligning system’s optimum with users’ equilibrium, European Journal of Operational Research vol. Volume 301, Issue 3 (2022), 956-973
755.
MisConv: Convolutional Neural Networks for Missing Data, IEEE Workshop on Applications of Computer Vision [WACV], (2022), 2060-2069
754.
Łukasz Struski, Jacek Tabor, Szymon Bobek, Sławomir K. Tadeja, Przemysław Stachura, Timoleon Kipourus, Grzegorz Nalepa, Per Ola Kristensson
753.
Elżbieta Adamus, Paweł Bogdan
752.
751.
2021
750.
Wojciech Masarczyk , Kamil Deja, Tomasz Trzciński
On robustness of generative representations against catastrophic forgetting, (2021), "Neural Information Processing : 28th International Conference, ICONIP 2021 : Sanur, Bali, Indonesia, December 8-12, 2021 : proceedings, part IV", Springer
749.
Ivona Tautkute , Tomasz Trzciński
SynthTriplet GAN : synthetic query expansion formultimodal retrieval, (2021), "Neural Information Processing : 28th International Conference, ICONIP 2021 : Sanur, Bali, Indonesia, December 8-12, 2021 : proceedings, part IV", Springer
748.
Michał Markiewicz, Marta Pasenkiewicz-Gierula, Robert Szczelina
747.
746.
Arkadiusz Drabicki, Rafał Kucharski, Cats Oded
Mitigating bus bunching with real-time crowding information, Transportation vol. 2022 (2021), 28
745.
744.
Łukasz Lepak, Robert Nowak, Karol Piczak, Kacper Radzikowski
743.
Michał Markiewicz, Bożena Milanovič (Z), Marta Pasenkiewicz-Gierula, Witold K. Subczynski, Robert Szczelina
742.
Adversarial Examples Detection and Analysis with Layer-wise Autoencoders, International Conference on Tools with Artificial Intelligence [ICTAI], (2021), 1322-1326
741.
Missing Glow Phenomenon: learning disentangled representation of missing data, International Conference on Neural Information Processing [ICONIP] vol. vol 1516 (2021), 196-204
740.
Marcin Sendera, Jacek Tabor, Aleksandra Nowak, Andrzej Bedychaj, Massimiliano Patacchiola, Przemysław Spurek, Tomasz Trzciński, Zięba Maciej
Non-Gaussian Gaussian Processes for Few-Shot Regression, Advances in Neural Information Processing Systems [NeurIPS](MAIN) vol. 34 (2021), 10285-10298
739.
Teresa Crespo, Zbigniew Hajto, Rouzbeh Mohseni
Real Liouvillian Extensions of Partial Differential Fields, Symmetry Integrability and Geometry-Methods and Applications vol. 17 (2021), Article number 095
738.
Łukasz Kuciński, Piotr Miłoś, Razvan Pascanu, Maciej Wołczyk, Michał Zając
Continual World: A Robotic Benchmark For Continual Reinforcement Learning, Advances in Neural Information Processing Systems [NeurIPS](MAIN), (2021),
737.
Klaudia Bałazy, Igor Podolak, Marek Śmieja, Jacek Tabor, Tomasz Trzciński, Maciej Wołczyk, Bartosz Wójcik
Zero Time Waste: Recycling Predictions in Early Exit Neural Networks, Advances in Neural Information Processing Systems [NeurIPS](MAIN) vol. 34 (2021), 1-13
736.
Łukasz Borchmann, Jurkiewicz Dawid, Filip Graliński, Michał Pietruszka, Tomasz Stanisławek, Karolina Szyndler, Michał Turski
DUE: End-to-End Document Understanding Benchmark, Advances in Neural Information Processing Systems [NeurIPS], (2021),
735.
Designing Urban Transit Network using Memetic Algorithm, IEEE Congress on Evolutionary Computation [CEC], (2021), 343-350
734.
Gopal Bhatta, Jarosław Duda
Gamma-ray blazar variability: new statistical methods of time-flux distributions , Monthly Notices of the Royal Astronomical Society vol. Volume 508, Issue 1 (2021), 1446–1458
733.
Jarosław Duda, Henryk Gurgul, Robert Syrek
Multi-feature evaluation of financial contagion, Central European Journal of Operations Research vol. 30 (2021), 1167–1194
732.
Arash Mahboubi, Seyit Camtepe, Jarosław Duda, Surya Nepal, Morawiecki Paweł, Józef Pieprzyk
Compcrypt–Lightweight ANS-Based Compression and Encryption, IEEE Transactions on Information Forensics and Security vol. 16 (2021), 3859 - 3873
731.
Dawid Warszycki, Łukasz Struski, Marek Śmieja, Rafał Kafel, Rafał Kurczab
730.
Deep Learning for Modulation Classification in Two-tier Cognitive Femtocell Networks vol. Lecture Notes in Networks and Systems, LNNS, Vol. 359 (2021), "Future Technologies Conference 2021, Vol. 2", Springer
729.
Kacper Łasocha, Elżbieta Richter-Wąs, Michał Sadowski, Zbigniew Wąs
728.
Continual Learning of 3D Point Cloud Generators, International Conference on Neural Information Processing [ICONIP] vol. vol 13108 (2021), 330-341
727.
Michał Górszczak, Bartosz Zieliński
What Pushes Self-Supervised Image Representations Away?, International Conference on Neural Information Processing [ICONIP](MAIN) vol. Communications in Computer and Information Science 1516 (2021), 514-521
726.
Rafał Jankowski, Sabina Podlewska, Agnieszka Wojtuch
How can SHAP values shape the metabolic stability?, Journal of Cheminformatics vol. 13 (2021), Article number: 74
725.
Andrzej Bojarski, Rafał Kurczab, Stefan Mordalski, Igor Podolak, Agnieszka Wojtuch
2D SIFt: a matrix of ligand-receptor interactions, Journal of Cheminformatics vol. 13 (2021), Article number: 66
724.
Karl Aberer, Klaudia Bałazy, Mohammadreza Banaei, Rémi Lebret, Jacek Tabor
Direction is what you need: Improving Word Embedding Compression in Large Language Models, Proceedings of the 6th Workshop On Representation Learning for Nlp (repl4nlp-2021) (2021), 322–330
723.
Jakub Chłędowski, Carlos Fernandez-Granda, Krzysztof J. Geras, Kangning Liu, Nan Wu, Shen Yiqiu
Weakly-supervised High-resolution Segmentation of Mammography Images for Breast Cancer Diagnosis, Proceedings of Machine Learning Research (2021),
722.
The Slow-Coloring Game on Sparse Graphs: k-Degenerate, Planar, and Outerplanar, Journal of Combinatorics vol. 12 (2021) (2021), 283 – 302
721.
Niclas Boehmer, Robert Bredereck, Piotr Faliszewski, Rolf Niedermeier, Stanisław Szufa
Putting a Compass on the Map of Elections, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2021), 59-65
720.
Adriana Borowa, Anna Bracha, Maurycy Chronowski, Wojciech Ozimek, Dawid Rymarczyk, Bartosz Zieliński
Comparison of Supervised and Self-supervised Deep Representations Trained on Histological Image, World Congress on Medical and Health Informatics [MEDINFO] vol. Studies in Health Technology and Informatics 290 (2021), 1052-1053
719.
On the Design of Monte-Carlo Particle Coagulation Solver Interface: A CPU/GPU Super-Droplet Method Case Study with PySDM, International Conference on Computational Science [ICCS] vol. 12743 (2021), 16-30
718.
Marek Skomorowski, Maciej Skwirczyński, Wadim Wojciechowski
717.
Łukasz Borchmann, Jurkiewicz Dawid, Tomasz Dwojak, Pałka Gabriela, Michał Pietruszka, Powalski Rafał
Going Full-TILT Boogie on Document Understanding with Text-Image-Layout Transformer, IEEE International Conference on Document Analysis and Recognition [ICDAR], (2021),
716.
Bartosz Bohaterewicz, Adrian Chrobak, Dominika Dudek, Magdalena Fafrowicz, Tadeusz Marek, Dagmara Mętel, Igor Podolak, Marcin Siwek, Anna Sobczak, Bartosz Wójcik
715.
Robust Learning-Augmented Caching: An Experimental Study, International Conference on Machine Learning [ICML], (2021), 1920-1930
714.
Ella Barkan, Sardius Chen, Jakub Chłędowski, Linda Du, Sushma Gaddam, Krzysztof J. Geras, Flora Gilboa-Solomon, Julia Goldberg, Pablo Gómez del Campo, Sana Hava, Laura Heacock, Daniel Khapun, Eric Kim, Jiyon Lee, Alana Lewin, Robert Martí, Alexandra Millet, Linda Moy, Sindhoora Murthy, Ujas Parikh, Jungkyu Park, Shalin Patel, Anastasia Plaunova, Kristine Pysarenko, Vadim Ratner, Beatriu Reig, Michal Rosen-Zvi, Yoel Shoshan, Melanie Wegener, Jan Witowski, Stacey Wolfson, Aviad Zlotnick
Lessons from the first DBTex Challenge, vol. 3 (2021), 735–736
713.
Tomasz Danel, Agnieszka Galanty, Igor Podolak, Irma Podolak, Michał Węgrzyn
712.
HuggingMolecules: an open-source library for transformer-based molecular property prediction, International Conference On Learning Representations (workshop Track) (2021),
711.
Multitask Learning Using BERT with Task-Embedded Attention, IEEE International Joint Conference on Neural Networks [IJCNN], (2021),
710.
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction, IEEE International Joint Conference on Neural Networks [IJCNN], (2021), 1-8
709.
708.
ProtoPShare: Prototypical Parts Sharing for Similarity Discovery in Interpretable Image Classification, ACM International Conference on Knowledge Discovery and Data Mining [KDD](MAIN), (2021), 1420-1430
707.
Dominika Basaj, Michał Górszczak, Witold Oleszkiewicz, Barbara Rychalska, Igor Sieradzki, Tomasz Trzcinski, Bartosz Zieliński
Explaining Self-Supervised Image Representations with Visual Probing, International Joint Conference on Artificial Intelligence [IJCAI](MAIN), (2021), 592-598
706.
Deep learning classification of bacteria clones explained by persistence homology, IEEE International Joint Conference on Neural Networks [IJCNN], (2021), 1-8
705.
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