Instytut Informatyki i Matematyki Komputerowej - lista publikacji

1-200 z 685.

2021

685.
Semi-Markov Model of Processing Requests Reliability and Availability in Mobile Cloud Computing Systems vol. Advances in Intelligent Systems and Computing (2021), "Theory and Engineering of Dependable Computer Systems and Networks", Springer
682.
Kamil Deja, Jan Dubiński, Piotr Nowak, Przemysław Spurek, Tomasz Trzciński, Sandro Wenzel
679.
Łukasz Borchmann, Filip Graliński, Michał Pietruszka
Successive Halving Top-k Operator, NATIONAL CONFERENCE OF THE AMERICAN ASSOCIATION FOR ARTIFICIAL INTELLIGENCE [AAAI], (2021),

2020

675.
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
673.
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
671.
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),
670.
Matteo Caggio, Piotr Kalita, Grzegorz Łukaszewicz, Krzysztof Mizerski
665.
Reliability Enhancement of URLLC Traffic in 5G Cellular Networks vol. Communications in Computers and Information Science, Vol. 1231 (2020), "Computer Networks", Springer
662.
Kubica-Misztal Aleksandra , Martyna Durak-Kozica, Marcin Hartel, Krzysztof Misztal, Agnieszka Pocha, Michał Wątor
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
645.
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),
644.
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),
643.
Devansh Arpit, Kyunghyun Cho, Stanislav Fort, Krzysztof J. Geras, Stanisław Jastrzębski, Maciej Szymczak
The Break-Even Point on Optimization Trajectories of Deep Neural Networks, 8TH INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (2020),
641.
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
638.
Flow-based SVDD for anomaly detection, INTERNATIONAL CONFERENCE ON MACHINE LEARNING (WORKSHOP TRACK) (2020),
636.
Monika Brzychczy-Włoch, Adam Piekarczyk, Dawid Rymarczyk, Agnieszka Sroka-Oleksiak, Bartosz Zieliński
627.
Andrzej Antoł, Marcin Czarnołęski, Terézia Horváthová, Jan Kozłowski, Anna Łabecka, Anna Peciod, Natalia Szabla, Yaroslav Vasko, Bartosz Zieliński
626.
Piotr Dziurdzia, Tomasz Konieczny, Liliana Kowalczyk, Michał Markiewicz, Marek Skomorowski, Thomas Skotnicki, PASCAL URARD
624.
Boolean algebra of one-point local compactifications, JOURNAL OF MATHEMATICS AND APPLICATIONS vol. 43 (2020), 113-121
623.
Jonathan Ariel Barmak, Marian Mrozek, Thomas Wanner
621.
620.
Krzysztof Baczyński, Michał Markiewicz, Marta Pasenkiewicz-Gierula, Robert Szczelina
615.
Everaldo de Mello Bonotto, Piotr Kalita

2019

613.
Optimal Spectrum Sharing in RF Energy Harvesting Cognitive Femtocell Networks vol. Communications in Computers and Information Science (CCIS, Vol. 1039) (2019), "Computer Networks", Springer
611.
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
610.
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
607.
Mikołaj Bocheński, Tomasz Konieczny, Liliana Kowalczyk, Michał Markiewicz, Waldemar Tabaczyński, Maciej Wielgosz
604.
Variational Auto-Encoders for Generating Feature-Preserving Automata, PROCEEDINGS OF NCMA 2019, BOOKS@OCG.AT (AUSTRIAN COMPUTER SOCIETY) (2019), 171-185
603.
600.
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
599.
Tomasz Danel, Stanisław Jastrzębski, Łukasz Maziarka, Sławomir Mucha, Krzysztof Rataj, Jacek Tabor
Molecule-Augmented Attention Transformer, NEURAL INFORMATION PROCESSING SYSTEMS (WORKSHOP TRACK) (2019),
598.
Leszek Gasiński, Nikolaos S. Papageorgiou, Krzysztof Winowski
597.
Jan Kaczmarczyk, Łukasz Maziarka, Agnieszka Pocha, Krzysztof Rataj, Michał Warchoł
Mol-CycleGAN - A Generative Model for Molecular Optimization, ARTIFICIAL NEURAL NETWORKS AND MACHINE LEARNING – ICANN 2019: WORKSHOP AND SPECIAL SESSIONS (2019), 810-816
596.
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
595.
Distribution-Interpolation Trade off in Generative Models, INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (2019),
594.
Persistence bag-of-words for topological data analysis, PROCEEDINGS OF THE 28TH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI 2019) (2019), 4489-4495
593.
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
589.
Piotr Faliszewski, Piotr Skowron, Arkadii Slinko, Stanisław Szufa, Nimrod Talmon
How Similar Are Two Elections?, AAAI (2019), 1909-1916
587.
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),
585.
Elżbieta Adamus, Teresa Crespo, Zbigniew Hajto
583.
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
579.
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
519.
Jakub Kowalski, Adam Roman
A New Evolutionary Algorithm for Synchronization vol. LNCS 10199 (2017), "Applications of Evolutionary Computation", Springer Verlag (połaczony z Kluwer Academic Publishing)
518.
Finding Eigenvalues of Self-maps with the Kronecker Canonical Form vol. 198 (2017), "Applications of Computer Algebra", Springer
514.
Devansh Arpit, Nicolas Ballas, Yoshua Bengio, Stanisław Jastrzębski
Residual connections encourage iterative inference, INTERNATIONAL CONFERENCE ON LEARNING ALGORITHMS 2018 (2017),
513.
QoS-Based Power Control and Resource Allocation in Cognitive LTE Femtocell Networks vol. Communications in Computer and Information Science (2017), "Computer Networks", Springer
511.
Monika Brzychczy-Włoch, Krzysztof Misztal, Dorota Ochońska, Anna Plichta, Przemysław Spurek, Bartosz Zieliński
510.
Split-and-merge Tweak in Cross Entropy Clustering, COMPUTER INFORMATION SYSTEMS AND INDUSTRIAL MANAGEMENT: 16TH IFIP TC8 INTERNATIONAL CONFERENCE (2017), 193 - 204
508.
Yoshua Bengio, Bahdanau Dzmitry, Grefenstette Edward, Stanisław Jastrzębski, Vincent Pascal, Bosc Tom
Learning to Compute Word Embeddings On the Fly, MONTREAL AI SYMPOSIUM 2017 (2017),
505.
Elżbieta Adamus, Paweł Bogdan, Teresa Crespo, Zbigniew Hajto
An effective study of polynomial maps, J ALGEBRA APPL vol. Vol. 16, No. 08, 1750141 (2017), 13 pages
502.
Devansh Arpit, Nicolas Ballas, Yoshua Bengio, Bengio Emmanuel, Asja Fischer, Stanisław Jastrzębski, Maxinder S. Kanwal, David Krueger, Simon Lacoste-Julien, Tegan Maharaj
496.
Devansh Arpit, Nicolas Ballas, Aaron Courville, Bengio Emmanuel, Asja Fischer, Stanisław Jastrzębski, Maxinder S. Kanwal, David Krueger, Tegan Maharaj
Deep Nets Don't Learn via Memorization, INTERNATIONAL CONFERENCE ON LEARNING REPRESENTATIONS (WORKSHOP TRACK) (2017),
486.
R Package CEC , NEUROCOMPUTING vol. 237 (2017), 410–413