| Action-rules: How to increase profit of a company ZW Ras, A Wieczorkowska European conference on principles of data mining and knowledge discovery …, 2000 | 247 | 2000 |
| Multi-label classification of emotions in music A Wieczorkowska, P Synak, ZW Raś Intelligent Information Processing and Web Mining: Proceedings of the …, 2006 | 169 | 2006 |
| Extracting emotions from music data A Wieczorkowska, P Synak, R Lewis, Z W. Raś Foundations of Intelligent Systems: 15th International Symposium, ISMIS 2005 …, 2005 | 80 | 2005 |
| Advances in music information retrieval ZW Ras, A Wieczorkowska Springer, 2010 | 73 | 2010 |
| Application of temporal descriptors to musical instrument sound recognition AA Wieczorkowska, J Wróblewski, P Synak, D Śle¸ zak Journal of Intelligent Information Systems 21, 71-93, 2003 | 57 | 2003 |
| Parametric representation of musical sounds B Kostek, A Wieczorkowska Archives of Acoustics 22 (1), 3-26, 1997 | 50* | 1997 |
| Multi-way hierarchic classification of musical instrument sounds AA Wieczorkowska, ZW Ras, X Zhang, R Lewis 2007 International Conference on Multimedia and Ubiquitous Engineering (MUE …, 2007 | 49 | 2007 |
| On search for emotion in Hindusthani vocal music AA Wieczorkowska, AK Datta, R Sengupta, N Dey, B Mukherjee Advances in music information retrieval, 285-304, 2010 | 42 | 2010 |
| An analysis of game-related emotions using Emotiv EPOC J Kosiński, K Szklanny, A Wieczorkowska, M Wichrowski 2018 Federated Conference on Computer Science and Information Systems …, 2018 | 32 | 2018 |
| Musical instruments in random forest M Kursa, W Rudnicki, A Wieczorkowska, E Kubera, A Kubik-Komar Foundations of Intelligent Systems: 18th International Symposium, ISMIS 2009 …, 2009 | 30 | 2009 |
| Rough sets as a tool for audio signal classification A Wieczorkowska International Symposium on Methodologies for Intelligent Systems, 367-375, 1999 | 29 | 1999 |
| Spectral features for audio based vehicle and engine classification A Wieczorkowska, E Kubera, T Słowik, K Skrzypiec Journal of Intelligent Information Systems 50, 265-290, 2018 | 23 | 2018 |
| Rough set based automatic classification of musical instrument sounds AA Wieczorkowska, A Czyżewski Electronic Notes in Theoretical Computer Science 82 (4), 298-309, 2003 | 23 | 2003 |
| Music instrument estimation in polyphonic sound based on short-term spectrum match W Jiang, A Wieczorkowska, ZW Raś Foundations of Computational Intelligence Volume 2: Approximate Reasoning …, 2009 | 22 | 2009 |
| Hierarchical object-driven action rules A Hajja, ZW Raś, AA Wieczorkowska Journal of Intelligent Information Systems 42, 207-232, 2014 | 21 | 2014 |
| Towards extracting emotions from music AA Wieczorkowska Intelligent Media Technology for Communicative Intelligence, 228-238, 2004 | 21 | 2004 |
| KDD-based approach to musical instrument sound recognition D Ślȩzak, P Synak, A Wieczorkowska, J Wróblewski International Symposium on Methodologies for Intelligent Systems, 28-36, 2002 | 21 | 2002 |
| Musical sound classification based on wavelet analysis A Wieczorkowska Fundamenta Informaticae 47 (1-2), 175-188, 2001 | 20 | 2001 |
| Discovering speed changes of vehicles from audio data E Kubera, A Wieczorkowska, A Kuranc, T Słowik Sensors 19 (14), 3067, 2019 | 19 | 2019 |
| Mining surgical meta-actions effects with variable diagnoses’ number H Touati, ZW Raś, J Studnicki, AA Wieczorkowska Foundations of Intelligent Systems: 21st International Symposium, ISMIS 2014 …, 2014 | 18 | 2014 |
Zbigniew W. RasProfessor of Computer Science, University of North Carolina at Charlotte在 uncc.edu 的电子邮件经过验证
Zbigniew W. RasProfessor of Computer Science, University of North Carolina at Charlotte在 uncc.edu 的电子邮件经过验证
Bożena KostekGdansk Univ. of Technology在 audioakustyka.org 的电子邮件经过验证