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2020 – today
- 2022
[j1]Andrzej Janusz
, Daniel Kaluza, Maciej Matraszek, Lukasz Grad, Maciej Swiechowski, Dominik Slezak:
Learning multimodal entity representations and their ensembles, with applications in a data-driven advisory framework for video game players. Inf. Sci. 617: 193-210 (2022)- 2020
- [c6]Jan Ludziejewski, Lukasz Grad, Lukasz Przebinda, Tomasz Tajmajer:
Integrated Human Tracking Based on Video and Smartphone Signal Processing within the Arahub System. FedCSIS 2020: 105-114
2010 – 2019
- 2019
- [c5]Andrzej Janusz, Lukasz Grad, Marek Grzegorowski:
Clash Royale Challenge: How to Select Training Decks for Win-rate Prediction. FedCSIS 2019: 3-6 - 2018
- [c4]Mateusz Przyborowski, Tomasz Tajmajer, Lukasz Grad, Andrzej Janusz, Piotr Biczyk, Dominik Slezak:
Toward Machine Learning on Granulated Data - a Case of Compact Autoencoder-based Representations of Satellite Images. IEEE BigData 2018: 2657-2662 - [c3]Andrzej Janusz, Tomasz Tajmajer, Maciej Swiechowski, Lukasz Grad, Jacek Puczniewski, Dominik Slezak:
Toward an Intelligent HS Deck Advisor: Lessons Learned from AAIA'18 Data Mining Competition. FedCSIS 2018: 189-192 - [c2]Andrzej Janusz, Lukasz Grad, Dominik Slezak:
Utilizing Hybrid Information Sources to Learn Representations of Cards in Collectible Card Video Games. ICDM Workshops 2018: 422-429 - 2017
- [c1]Lukasz Grad:
Helping AI to Play Hearthstone using Neural Networks. FedCSIS 2017: 131-134
Coauthor Index
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