11 citations · 12 across the 3 of their papers we have counts for
4 papers
Robust Assignment of Labels for Active Learning with Sparse and Noisy Annotations
Daniel Kałuża, Andrzej Janusz, Dominik Ślęzak
Supervised classification algorithms are used to solve a growing number of real-life problems around the globe. Their performance is strictly connected with the quality of labels u…
Schema matching using Gaussian mixture models with Wasserstein distance
Mateusz Przyborowski, Mateusz Pabiś, Andrzej Janusz +1
Gaussian mixture models find their place as a powerful tool, mostly in the clustering problem, but with proper preparation also in feature extraction, pattern recognition, image se…
Improving Hearthstone AI by Combining MCTS and Supervised Learning Algorithms
Maciej Świechowski, Tomasz Tajmajer, Andrzej Janusz
We investigate the impact of supervised prediction models on the strength and efficiency of artificial agents that use the Monte-Carlo Tree Search (MCTS) algorithm to play a popula…
Helping AI to Play Hearthstone: AAIA'17 Data Mining Challenge
Andrzej Janusz, Maciej Świechowski, Tomasz Tajmajer
This paper summarizes the AAIA'17 Data Mining Challenge: Helping AI to Play Hearthstone which was held between March 23, and May 15, 2017 at the Knowledge Pit platform. We briefly…