Igor Vatolkin
Igor Vatolkin
Akademischer Rat, RWTH Aachen
Verified email at - Homepage
Cited by
Cited by
Music data analysis: Foundations and applications
C Weihs, D Jannach, I Vatolkin, G Rudolph
Chapman and Hall/CRC, 2016
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, 2027-2047, 2012
AMUSE (Advanced MUSic Explorer)-A Multitool Framework for Music Data Analysis.
I Vatolkin, WM Theimer, M Botteck
ISMIR, 33-38, 2010
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
Definitions of audio features for music content description
W Theimer, I Vatolkin, A Eronen
Tech. Univ., Fak. für Informatik, 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
Selecting small audio feature sets in music classification by means of asymmetric mutation
B Bischl, I Vatolkin, M Preuss
Parallel Problem Solving from Nature, PPSN XI: 11th International Conference …, 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
Improving supervised music classification by means of multi-objective evolutionary feature selection
I Vatolkin
Evaluation of Album Effect for Feature Selection in Music Genre Recognition.
I Vatolkin, G Rudolph, C Weihs
ISMIR, 169-175, 2015
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
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
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
Multi-objective evaluation of music classification
I Vatolkin
Challenges at the Interface of Data Analysis, Computer Science, and …, 2012
Computational prediction of high-level descriptors of music personal categories
G Rötter, I Vatolkin, C Weihs
Algorithms from and for Nature and Life: Classification and Data Analysis …, 2013
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
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
Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures.
I Vatolkin, G Rudolph
ISMIR, 554-560, 2018
Singing voice detection across different music genres
F Scholz, I Vatolkin, G Rudolph
Audio Engineering Society Conference: 2017 AES International Conference on …, 2017
Comparing audio features and playlist statistics for music classification
I Vatolkin, G Bonnin, D Jannach
Analysis of Large and Complex Data, 437-447, 2016
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