Katedra Uczenia Maszynowego - lista publikacji
Nadjednostka:
1-19 z 19.
2018
18.
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),
17.
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),
16.
Jakub Chłędowski, Stanisław Jastrzębski, Tomasz Wesołowski
15.
Pedro Pinheiro, Negar Rostamzadeh, Michał Zając, Konrad Żołna
14.
Tomasz Kisielewski, Damian Leśniak
Accidental exploration through value predictors, Schedae Informaticae vol. 27 (2018),
13.
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
12.
On modeling objects using sequence of moment invariants, Lecture Notes in Computer Science (2018), 92-102
11.
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),
10.
Maciej Brzeski, Paweł Gora, Łukasz Mądry, Marcin Możejko, Łukasz Skowronek
Traffic Signal Settings Optimization Using Gradient Descent, Schedae Informaticae vol. 27 (2018), 19-30
9.
Łukasz Maziarka, Jacek Tabor, Bartosz Wójcik
LOSSGRAD: Automatic Learning Rate in Gradient Descent, Schedae Informaticae vol. 27 (2018), 47-57
8.
Image Stitching Based on Entropy Minimization, Schedae Informaticae vol. 27 (2018), 129-141
7.
Sliced generative models, Schedae Informaticae vol. 27 (2018), 69-79
6.
5.
Processing of missing data by neural networks, Advances in Neural Information Processing Systems vol. 31 (2018), 2719-2729
4.
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
3.
Oleksandr Myronov, Marek Śmieja, Jacek Tabor
Semi-supervised discriminative clustering with graph regularization, Knowledge-Based Systems vol. 151 (2018), 24-36
2.
A machine learning approach to synchronization of automata, Expert Systems with Applications vol. 97 (2018), 357-371
1.
Lossy Compression Approach to Subspace Clustering, Information Sciences vol. 435 (2018), 161-183