Instytut Informatyki i Matematyki Komputerowej - lista publikacji

1-200 z 722.

2022

722.
Deep Learning for Modulation Classification in Two-tier Cognitive Femtocell Networks vol. Lecture Notes in Networks and Systems (2022), "Future Technologies Conference 2021", Springer

2021

721.
Designing Urban Transit Network using Memetic Algorithm, IEEE CONGRESS ON EVOLUTIONARY COMPUTATION [CEC], (2021), 343-350
718.
Arash Mahboubi, Seyit Camtepe, Jarosław Duda, Surya Nepal, Morawiecki Paweł, Józef Pieprzyk
714.
Continual Learning of 3D Point Cloud Generators, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING [ICONIP], (2021),
713.
Michał Górszczak, Bartosz Zieliński
What Pushes Self-Supervised Image Representations Away?, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING [ICONIP], (2021),
711.
Andrzej Bojarski, Rafał Kurczab, Stefan Mordalski, Igor Podolak, Agnieszka Wojtuch
710.
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
709.
Jakub Chłędowski, Carlos Fernandez-Granda, Krzysztof J. Geras, Kangning Liu, Nan Wu, Shen Yiqiu
707.
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
706.
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], (2021),
702.
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),
701.
Robust Learning-Augmented Caching: An Experimental Study, INTERNATIONAL CONFERENCE ON MACHINE LEARNING [ICML], (2021), 1920--1930
700.
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
698.
HuggingMolecules: an open-source library for transformer-based molecular property prediction, INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (WORKSHOP TRACK) (2021),
697.
Multitask Learning Using BERT with Task-Embedded Attention, IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS [IJCNN], (2021),
696.
Comparison of Atom Representations in Graph Neural Networks for Molecular Property Prediction, IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS [IJCNN], (2021),
694.
693.
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], (2021), 592-598
692.
Adriana Borowa, Monika Brzychczy-Włoch, Dorota Ochońska, Dawid Rymarczyk, Bartosz Zieliński
Deep learning classification of bacteria clones explained by persistence homology, IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS [IJCNN], (2021), 8
691.
Semi-Markov Model of Processing Requests Reliability and Availability in Mobile Cloud Computing Systems vol. Advances in Intelligent Systems and Computing, book series (AISC, volume 1389) (2021), "Theory and Engineering of Dependable Computer Systems and Networks", Springer
688.
Kamil Deja, Jan Dubiński, Piotr Nowak, Przemysław Spurek, Tomasz Trzciński, Sandro Wenzel
684.
Łukasz Borchmann, Filip Graliński, Michał Pietruszka
Successive Halving Top-k Operator, NATIONAL CONFERENCE OF THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE [AAAI], (2021),

2020

680.
Jarosław Duda, Adam Szulc
Social Benefits Versus Monetary and Multidimensional Poverty in Poland: Imputed Income Exercise, ADVANCES IN CROSS-SECTION DATA METHODS IN APPLIED ECONOMIC RESEARCH (2020),
678.
‪Gregory S. Duane, Witold Dzwinel, Marcin Sendera
Supermodeling: the next level of abstraction in the use of data assimilation, INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE [ICCS] vol. vol. Lecture Notes in Computer Science book series (LNCS, vol. 12142) (2020), 133-147
677.
Bartosz Bohaterewicz, Adrian Chrobak, Dominika Dudek, Magdalena Fafrowicz, Tadeusz Marek, Dagmara Mętel, Igor Podolak, Marcin Siwek, Anna Sobczak, Bartosz Wójcik
674.
Piotr Kalita, Grzegorz Łukaszewicz, Jakub Siemianowski
Nonlinear Semigroups and Their Perturbations in Hydrodynamics. Three Examples vol. 325 (2020), "Semigroups of Operators – Theory and Applications ", Springer
672.
Tamal K. Dey, Marian Mrozek, Ryan Slechta
Persistence of the Conley Index in Combinatorial Dynamical Systems, INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL GEOMETRY [SOCG] vol. 36 (2020), 37:1--37:17
670.
Tomasz Konopczyński, Michał Koperski, Rafał Nowak, Piotr Semberecki, Tomasz Trzciński
Plugin Networks for Inference under Partial Evidence, IEEE WORKSHOP ON APPLICATIONS OF COMPUTER VISION [WACV], (2020),
669.
Matteo Caggio, Piotr Kalita, Grzegorz Łukaszewicz, Krzysztof Mizerski
664.
Reliability Enhancement of URLLC Traffic in 5G Cellular Networks vol. Communications in Computers and Information Science, Vol. 1231 (2020), "Computer Networks", Springer
661.
Kubica-Misztal Aleksandra , Martyna Durak-Kozica, Marcin Hartel, Krzysztof Misztal, Michał Wątor, Agnieszka Wojtuch
660.
Fast and Stable Interval Bounds Propagation for Training Verifiably Robust Models, EUROPEAN SYMPOSIUM ON ARTIFICIAL NEURAL NETWORKS [ESANN], (2020), 6
659.
Marcin Przewięźlikowski, Łukasz Struski, Marek Śmieja
Estimating conditional density of missing values using deep Gaussian mixture model, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING [ICONIP] vol. Lecture Notes in Computer Science volume 12534 (2020), 220-231
658.
Mario A.T. Figueiredo, Mateusz Juda, Maciej Kołomycki, Łukasz Struski, Marek Śmieja
Iterative Imputation of Missing Data using Auto-encoder Dynamics, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING [ICONIP] vol. Lecture Notes in Computer Science, volume 12534 (2020), 258-269
657.
Processing of Incomplete Images by (Graph) Convolutional Neural Networks, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING vol. Lecture Notes in Computer Science, volume 12533 (2020), 512-523
656.
Spatial Graph Convolutional Networks, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING vol. Communications in Computer and Information Science book series (CCIS, volume 1333) (2020), 668-675
655.
Non-linear ICA based on Cramer-Wold metric, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING vol. Lecture Notes in Computer Science book series (LNCS, volume 12534) (2020),
654.
Krzysztof Galias, Silviu Homoceanu, Adam Jakubowski, Henryk Michalewski, Piotr Miłoś, Błażej Osiński, Paweł Zięcina
Simulation-Based Reinforcement Learning for Real-World Autonomous Driving, IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION [ICRA], (2020),
653.
Zięba Maciej , Przemysław Spurek, Jacek Tabor, Tomasz Trzciński, Sebastian Winczowski, Maciej Zamorski
Hypernetwork approach to generating point clouds, INTERNATIONAL CONFERENCE ON MACHINE LEARNING [ICML](MAIN), (2020),
652.
651.
Yoshua Bengio, Leonard Boussioux, Maxime Chevalier-Boisvert, Bahdanau Dzmitry, David Yu-Tung Hui, Chitwan Saharia, Konrad Żołna
Combating False Negatives in Adversarial Imitation Learning, NATIONAL CONFERENCE OF THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE [AAAI], (2020), 13999-14000
650.
Leakage-Robust Classifier via Mask-Enhanced Training, NATIONAL CONFERENCE OF THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE [AAAI], (2020), 13923-13924
649.
Mario A.T. Figueiredo, Mateusz Juda, Maciej Kołomycki, Łukasz Struski, Marek Śmieja
Can auto-encoders help with filling missing data?, INTERNATIONAL CONFERENCE ON LEARNING REPRESENATION (WORKSHOP TRACK) (2020), 6
648.
Marcin Przewięźlikowski, Łukasz Struski, Marek Śmieja
Estimating conditional density of missing values using deep Gaussian mixture model, INTERNATIONAL CONFERENCE ON MACHINE LEARNING (WORKSHOP TRACK) (2020), 6
647.
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon
Drawing a map of elections in the space of statistical cultures, INTERNATIONAL JOINT CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (PREVIOUSLY THE INTERNATIONAL CONFERENCE ON MULTIAGENT SYSTEMS, ICMAS, CHANGED IN 2000) [AAMAS](MAIN), (2020), 1341-1349
646.
Łukasz Borchmann, Jakub Chłędowski, Tomasz Dwojak, Filip Graliński, Michał Pietruszka
From Dataset Recycling to Multi-Property Extraction and Beyond, CONFERENCE ON COMPUTATIONAL NATURAL LANGUAGE LEARNING [CONLL] vol. Proceedings of the 24th Conference on Computational Natural Language Learning (2020),
645.
Finding the Optimal Network Depth in Classification Tasks, EUROPEAN CONFERENCE ON MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASE (PKDD AND ECML COMBINED FROM 2008) [ECML PKDD], (2020),
644.
Devansh Arpit, Kyunghyun Cho, Stanislav Fort, Krzysztof J. Geras, Stanisław Jastrzębski, Maciej Szymczak, Jacek Tabor
The Break-Even Point on Optimization Trajectories of Deep Neural Networks, 8TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (2020),
642.
Olivier Bachem, Olivier Bousquet, Lasse Espeholt, Sylvain Gelly, Karol Kurach, Marcin Michalski, Anton Raichuk, Carlos Riquelme, Piotr Stańczyk, Damien Vincent, Michał Zając
Google Research Football: A Novel Reinforcement Learning Environment, PROCEEDINGS OF THE AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE vol. Vol 34 No 04 (2020), 4501-4510
639.
Flow-based SVDD for anomaly detection, INTERNATIONAL CONFERENCE ON MACHINE LEARNING (WORKSHOP TRACK) (2020),
637.
Monika Brzychczy-Włoch, Adam Piekarczyk, Dawid Rymarczyk, Agnieszka Sroka-Oleksiak, Bartosz Zieliński
628.
Andrzej Antoł, Marcin Czarnołęski, Terézia Horváthová, Jan Kozłowski, Anna Łabecka, Anna Peciod, Natalia Szabla, Yaroslav Vasko, Bartosz Zieliński
627.
Piotr Dziurdzia, Tomasz Konieczny, Liliana Kowalczyk, Michał Markiewicz, Marek Skomorowski, Thomas Skotnicki, PASCAL URARD
625.
Boolean algebra of one-point local compactifications, JOURNAL OF MATHEMATICS AND APPLICATIONS vol. 43 (2020), 113-121
624.
Jonathan Ariel Barmak, Marian Mrozek, Thomas Wanner
622.
621.
Krzysztof Baczyński, Michał Markiewicz, Marta Pasenkiewicz-Gierula, Robert Szczelina
616.
Everaldo de Mello Bonotto, Piotr Kalita

2019

614.
Optimal Spectrum Sharing in RF Energy Harvesting Cognitive Femtocell Networks vol. Communications in Computers and Information Science (CCIS, Vol. 1039) (2019), "Computer Networks", Springer
612.
Kyunghyun Cho, Krzysztof J. Geras, Konrad Żołna
Classifier-Agnostic Saliency Map Extraction, NATIONAL CONFERENCE OF THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE [AAAI], (2019), 10087-10088
611.
Pedro Pinheiro, Negar Rostamzadeh, Michał Zając, Konrad Żołna
Adversarial framing for image and video classification, NATIONAL CONFERENCE OF THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE [AAAI], (2019), 10077-10078
608.
Mikołaj Bocheński, Tomasz Konieczny, Liliana Kowalczyk, Michał Markiewicz, Waldemar Tabaczyński, Maciej Wielgosz
605.
Variational Auto-Encoders for Generating Feature-Preserving Automata, PROCEEDINGS OF NCMA 2019, BOOKS@OCG.AT (AUSTRIAN COMPUTER SOCIETY) (2019), 171-185
604.
601.
Set Aggregation Network as a Trainable Pooling Layer, INTERNATIONAL CONFERENCE ON NEURAL INFORMATION PROCESSING vol. Lecture Notes in Computer Science book series (LNCS, volume 11954) (2019), 419-431
600.
Tomasz Danel, Stanisław Jastrzębski, Łukasz Maziarka, Sławomir Mucha, Krzysztof Rataj, Jacek Tabor
Molecule-Augmented Attention Transformer, NEURAL INFORMATION PROCESSING SYSTEMS (WORKSHOP TRACK) (2019),
599.
Leszek Gasiński, Nikolaos S. Papageorgiou, Krzysztof Winowski
598.
Jan Kaczmarczyk, Łukasz Maziarka, Krzysztof Rataj, Michał Warchoł, Agnieszka Wojtuch
Mol-CycleGAN - A Generative Model for Molecular Optimization, ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2019: WORKSHOP AND SPECIAL SESSIONS (2019), 810-816
597.
Sylwester Klocek, Łukasz Maziarka, Jakub Nowak, Marek Śmieja, Jacek Tabor, Maciej Wołczyk
Hypernetwork Functional Image Representation, ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2019: WORKSHOP AND SPECIAL SESSIONS (2019), 496-510
596.
Distribution-Interpolation Trade off in Generative Models, INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (2019),
595.
Persistence bag-of-words for topological data analysis, PROCEEDINGS OF THE 28TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI 2019) (2019), 4489-4495
594.
Piotr Faliszewski, Piotr Skowron, Stanisław Szufa, Nimrod Talmon
Proportional Representation in Elections: STV vs PAV, PROCEEDINGS OF THE 18TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS (2019), 1946-1948
590.
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon
How Similar Are Two Elections?, AAAI (2019), 1909-1916
588.
Maciej Brzeski, Hubert Dryja, Paweł Gora, Karnas Katarzyna, Arkadiusz Klemenko, Adrian Kochański, Dawid Kopczyk, Magdalena Kukawska, Marcin Możejko, Przemysław Przybyszewski
Solving Traffic Signal Setting Problem Using Machine Learning, INTERNATIONAL CONFERENCE ON MODELS AND TECHNOLOGIES FOR INTELLIGENT TRANSPORTATION SYSTEMS (2019),
586.
Elżbieta Adamus, Teresa Crespo, Zbigniew Hajto
584.
Elżbieta Adamus, Paweł Bogdan, Teresa Crespo, Zbigniew Hajto
Pascal finite polynomial automorphisms, J ALGEBRA APPL vol. Vol 18 No 7, ID 1950124 (2019), 1-10
580.
Piotr Kalita, Jose A. Langa, Grzegorz Łukaszewicz

2018

574.
Bartosz Borucki, Beata Ciszkowska-Lyson, Norbert Kapiński, Krzysztof Nowiński, Tomasz Trzciński, Jakub Zieliński
Estimating Achilles tendon healing progress with convolutional neural networks, MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION [MICCAI], (2018),
570.
QoS- and Energy-aware Services Management of Resource in Cloud Computing Environment vol. Communications in Computer and Information Science (2018), "Computer Networks", Springer
569.
Reliability Optimization for Controller Placement in Software-Defined Networks vol. Advances in Intelligent Systems and Computing, book series (AISC, volume 582) (2018), "Advances in Dependability Engineering and Complex Systems", Springer
568.
Yoshua Bengio, Laurent Charlin, Rosemary Ke, Zhouhan Lin, Christopher Pal, Joelle Pineau, Alessandro Sordoni, Adam Trischler, Konrad Żołna
Focused Hierarchical RNNs for Conditional Sequence Processing, INTERNATIONAL CONFERENCE ON MACHINE LEARNING [ICML], (2018),
563.
On modeling objects using sequence of moment invariants, LECTURE NOTES IN COMPUTER SCIENCE (2018), 92-102
562.
A Study Guide to the ISTQB® Foundation Level 2018 Syllabus, (2018), Springer Verlag (połaczony z Kluwer Academic Publishing)
560.
Adam Chuderski, Adam Gągol, Patrycja Kałamała, Bartłomiej Kroczek, Mikołaj Magnuski, Michał Ociepka, Emiliano Santarnecchi
559.
Maciej Brzeski, Paweł Gora, Arkadiusz Klemenko, Adrian Kochański, Marcin Możejko
558.
Maciej Brzeski, Paweł Gora, Łukasz Mądry, Marcin Możejko, Łukasz Skowronek
554.
Marta Pasenkiewicz-Gierula, Elżbieta Plesnar, Witold K. Subczynski, Robert Szczelina
548.
Piotr Faliszewski, Stanisław Szufa, Nimrod Talmon
Optimization-Based Voting Rule Design: The Closer to Utopia the Better, PROCEEDINGS OF THE 17TH INTERNATIONAL CONFERENCE ON AUTONOMOUS AGENTS AND MULTIAGENT SYSTEMS, AAMAS 2018, STOCKHOLM, SWEDEN, JULY 10-15, 2018 (2018), 32-40
547.
Processing of missing data by neural networks, ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS vol. 31 (2018), 2719--2729
545.
Thinking-Driven Testing. The Most Reasonabl Approach to Quality Control, (2018), Springer Verlag (połaczony z Kluwer Academic Publishing)
544.
Aneta Blat, Stefan Chłopicki, Karolina Chrabąszcz, Max Diem, Agnieszka Jasztal, Kamila Małek, Katarzyna Marzec, Marta Smęda, Bartosz Zieliński
543.
Feature Selection in Texts, PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON COMPUTER RECOGNITION SYSTEMS CORES 2017 vol. 578. Advances in Intelligent Systems and Computing (2018), 336-345
541.
Piotr Kalita, Piotr Kowalski
540.
Amadeu Delshams, Adria Simon, Piotr Zgliczyński
538.
Antoni Leon Dawidowicz, Anna Poskrobko
Asymptotic properties of the Lasota equation in various functional spaces, (2018), "AIP Conference Proceedings 1926", American Institute of Physics
533.
Piotr Kalita, Grzegorz Łukaszewicz, Jakub Siemianowski

2017

527.
Improving the performance of neural networks in regression tasks using drawering, IEEE INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS [IJCNN], (2017), 2533-2538
526.
Bartłomiej Romański, Konrad Żołna
User Modeling Using LSTM Networks, NATIONAL CONFERENCE OF THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE [AAAI], (2017), 5025-5026
523.
Wstęp do informatyki vol. Wykłady z informatyki (2017), PWN