| Music data analysis: Foundations and applications C Weihs, D Jannach, I Vatolkin, G Rudolph Chapman and Hall/CRC, 2016 | 67 | 2016 |
| AMUSE (Advanced MUSic Explorer)-A Multitool Framework for Music Data Analysis. I Vatolkin, WM Theimer, M Botteck ISMIR, 33-38, 2010 | 37 | 2010 |
| Multi-objective evolutionary feature selection for instrument recognition in polyphonic audio mixtures I Vatolkin, M Preuß, G Rudolph, M Eichhoff, C Weihs Soft Computing 16 (12), 2027-2047, 2012 | 36 | 2012 |
| Multi-objective feature selection in music genre and style recognition tasks I Vatolkin, M Preuß, G Rudolph Proceedings of the 13th annual conference on Genetic and evolutionary …, 2011 | 33 | 2011 |
| AAM: a dataset of Artificial Audio Multitracks for diverse music information retrieval tasks F Ostermann, I Vatolkin, M Ebeling EURASIP Journal on Audio, Speech, and Music Processing 2023 (1), 13, 2023 | 24 | 2023 |
| Definitions of audio features for music content description W Theimer, I Vatolkin, A Eronen Tech. Univ., Fak. für Informatik, 2008 | 22 | 2008 |
| Beatthebeat music-based procedural content generation in a mobile game A Jordan, D Scheftelowitsch, J Lahni, J Hartwecker, M Kuchem, ... 2012 IEEE conference on computational intelligence and games (CIG), 320-327, 2012 | 21 | 2012 |
| Selecting small audio feature sets in music classification by means of asymmetric mutation B Bischl, I Vatolkin, M Preuss International Conference on Parallel Problem Solving from Nature, 314-323, 2010 | 21 | 2010 |
| Design and comparison of different evolution strategies for feature selection and consolidation in music classification I Vatolkin, W Theimer, G Rudolph 2009 IEEE Congress on Evolutionary Computation, 174-181, 2009 | 21 | 2009 |
| Improving supervised music classification by means of multi-objective evolutionary feature selection I Vatolkin | 19 | 2013 |
| Evaluation of Album Effect for Feature Selection in Music Genre Recognition. I Vatolkin, G Rudolph, C Weihs ISMIR, 169-175, 2015 | 16 | 2015 |
| Advancements in the music information retrieval framework amuse over the last decade I Vatolkin, P Ginsel, G Rudolph Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 15 | 2021 |
| Multi-objective investigation of six feature source types for multi-modal music classification I Vatolkin, C McKay Transactions of the International Society for Music Information Retrieval 5 (1), 2022 | 12 | 2022 |
| Analysis of structural complexity features for music genre recognition P Ginsel, I Vatolkin, G Rudolph 2020 IEEE congress on evolutionary computation (CEC), 1-8, 2020 | 12 | 2020 |
| Classifying music genres using image classification neural networks AK Hassen, H Janßen, D Assenmacher, M Preuss, I Vatolkin Archives of Data Science, Series A (Online First) 5 (1), 20, 2018 | 12 | 2018 |
| Partition based feature processing for improved music classification I Vatolkin, W Theimer, M Botteck Challenges at the Interface of Data Analysis, Computer Science, and …, 2012 | 12 | 2012 |
| Music genre prediction by low-level and high-level characteristics I Vatolkin, G Rötter, C Weihs Data analysis, machine learning and knowledge discovery, 427-434, 2013 | 11 | 2013 |
| Statistical and visual analysis of audio, text, and image features for multi-modal music genre recognition B Wilkes, I Vatolkin, H Müller Entropy 23 (11), 1502, 2021 | 9 | 2021 |
| Multi-objective evaluation of music classification I Vatolkin Challenges at the Interface of Data Analysis, Computer Science, and …, 2012 | 9 | 2012 |
| Huge music archives on mobile devices H Blume, B Bischl, M Botteck, C Igel, R Martin, G Roetter, G Rudolph, ... IEEE Signal Processing Magazine 28 (4), 24-39, 2011 | 9 | 2011 |
Claus WeihsProfessor für Computergestützte Statistik, TU DortmundVerified email at tu-dortmund.de
