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Mariusz Klec
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Year
The influence of listener personality on music choices
M Kleć
Computer Science 18, 163-178, 2017
132017
Unsupervised feature pre-training of the scattering wavelet transform for musical genre recognition
M Kleć, D Koržinek
Procedia Technology 18, 133-139, 2014
92014
Beyond the Big Five personality traits for music recommendation systems
M Kleć, A Wieczorkowska, K Szklanny, W Strus
EURASIP Journal on Audio, Speech, and Music Processing 2023 (1), 4, 2023
72023
Music Recommendation Systems: A Survey
M Klec, A Wieczorkowska
Recommender Systems for Medicine and Music, 107, 2021
72021
Pre-trained deep neural network using sparse autoencoders and scattering wavelet transform for musical genre recognition
M Kleć, D Korzinek
Computer Science 16 (2)), 133--144, 2015
72015
Early detection of heart symptoms with convolutional neural network and scattering wavelet transformation
M Kleć
Foundations of Intelligent Systems: 24th International Symposium, ISMIS 2018 …, 2018
32018
Sparse autoencoders in sentiment analysis
M Klec
Proceeding of 9th International Conference on Natural Language Processing, 2014
22014
Music and Healthcare Recommendation Systems
M Klec, A Wieczorkowska
Recommender Systems for Medicine and Music, 187, 2021
12021
SpokesBiz--an Open Corpus of Conversational Polish
P Pęzik, S Karasińska, A Cichosz, Ł Jałowiecki, K Kaczyński, ...
arXiv preprint arXiv:2312.12364, 2023
2023
Multi-Instrumental Deep Learning for Automatic Genre Recognition
M Kleć
Recent Developments in Intelligent Information and Database Systems, 53-61, 2016
2016
Evaluation of cultural similarity in playlist generation
M Klec
Audio Engineering Society Convention 132, 2012
2012
Evaluation of Jamendo Database as Training Set for Automatic Genre Recognition
M Kleć
Multi-disciplinary Trends in Artificial Intelligence: 6th International …, 2012
2012
Dominik Adamski, Grzegorz Jabłoński Hardware-aware tiling optimization for multi-core systems............. 145
M Kleć, M Włodarczyk, D Kacperski, T Płuciennik, K Grabowski, ...
Using Jamendo database as training set for automatic genre recognition
M Kleć
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Articles 1–14