Instytut Informatyki i Matematyki Komputerowej - lista publikacji
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1-46 z 46.
2018
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Jarosław Hryszko, Lech Madeyski
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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),
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QoS- and Energy-aware Services Management of Resource in Cloud Computing Environment vol. Communications in Computer and Information Science (2018), "Computer Networks", Springer
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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
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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),
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Jakub Chłędowski, Stanisław Jastrzębski, Tomasz Wesołowski
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Pedro Pinheiro, Negar Rostamzadeh, Michał Zając, Konrad Żołna
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Tomasz Kisielewski, Damian Leśniak
Accidental exploration through value predictors, Schedae Informaticae vol. 27 (2018),
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Andrzej Bojarski, Stanisław Jastrzębski, Damian Leśniak, Sabina Podlewska, Igor Sieradzki, Jacek Tabor
Three-dimensional descriptors for aminergic GPCRs: dependence on docking conformation and crystal structure, Molecular Diversity vol. vol.23 no.3 (2018), 603-613
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On modeling objects using sequence of moment invariants, Lecture Notes in Computer Science (2018), 92-102
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A Study Guide to the ISTQB® Foundation Level 2018 Syllabus, Springer Verlag (połaczony z Kluwer Academic Publishing), 2018
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Bartłomiej Kroczek, Magdalena Matyjek , Michał Ociepka, Magdalena Senderecka
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Adam Chuderski, Adam Gągol, Patrycja Kałamała, Bartłomiej Kroczek, Mikołaj Magnuski, Michał Ociepka, Emiliano Santarnecchi
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Maciej Brzeski, Paweł Gora, Arkadiusz Klemenko, Adrian Kochański, Marcin Możejko
Investigating performance of neural networks and gradient boosting models approximating microscopic traffic simulations in traffic optimization tasks, Neurips 2018 Workshop "machine Learning for Intelligent Transportation Systems" (2018),
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Maciej Brzeski, Paweł Gora, Łukasz Mądry, Marcin Możejko, Łukasz Skowronek
Traffic Signal Settings Optimization Using Gradient Descent, Schedae Informaticae vol. 27 (2018), 19-30
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Łukasz Maziarka, Jacek Tabor, Bartosz Wójcik
LOSSGRAD: Automatic Learning Rate in Gradient Descent, Schedae Informaticae vol. 27 (2018), 47-57
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Image Stitching Based on Entropy Minimization, Schedae Informaticae vol. 27 (2018), 129-141
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Sliced generative models, Schedae Informaticae vol. 27 (2018), 69-79
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Marta Pasenkiewicz-Gierula, Elżbieta Plesnar, Witold K. Subczynski, Robert Szczelina
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Maciej Capiński, Dmitry Turaev, Piotr Zgliczyński
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Maciej Capiński, Piotr Zgliczyński
Beyond the Melnikov method II: Multidimensional setting, Journal of Differential Equations vol. 265 (2018), 3988-4015
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Jacek Cyranka, Piotr B. Mucha, Edriss S. Titi, Piotr Zgliczyński
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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
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Processing of missing data by neural networks, Advances in Neural Information Processing Systems vol. 31 (2018), 2719-2729
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Thinking-Driven Testing. The Most Reasonabl Approach to Quality Control, Springer Verlag (połaczony z Kluwer Academic Publishing), 2018
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Aneta Blat, Stefan Chłopicki, Karolina Chrabąszcz, Max Diem, Agnieszka Jasztal, Kamila Małek, Katarzyna Marzec, Marta Smęda, Bartosz Zieliński
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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
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Oleksandr Myronov, Marek Śmieja, Jacek Tabor
Semi-supervised discriminative clustering with graph regularization, Knowledge-Based Systems vol. 151 (2018), 24-36
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Piotr Kalita, Piotr Kowalski
On multivalued Duffing equation, Journal of Mathematical Analysis and Applications vol. 462 (2018), 1130-1147
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Amadeu Delshams, Adria Simon, Piotr Zgliczyński
Shadowing of non-transversal heteroclinic chains, Journal of Differential Equations vol. 264 (2018), 3619–-3663
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A machine learning approach to synchronization of automata, Expert Systems with Applications vol. 97 (2018), 357-371
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Antoni Leon Dawidowicz, Anna Poskrobko
Asymptotic properties of the Lasota equation in various functional spaces, (2018), "AIP Conference Proceedings 1926", American Institute of Physics
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Lossy Compression Approach to Subspace Clustering, Information Sciences vol. 435 (2018), 161-183
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Mateusz Juda, Markus Seidl, Matthias Zeppelzauer, Bartosz Zieliński
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Mirelson M. Freitas, Piotr Kalita, Jose A. Langa
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Piotr Kalita, Grzegorz Łukaszewicz, Jakub Siemianowski
Rayleigh-Benard problem for Thermomicropolar Fluids, Topological Methods in Nonlinear Analysis vol. 52 (2018), 477-514
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Mikael Barboteu, Leszek Gasiński, Piotr Kalita