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2020 – today
- 2024
[c40]Lennart Haase, Nicolas Fischöder, Igor Vatolkin:
Observation Encoding for Reinforcement Learning Agents in 3D Game Environments. CoG 2024: 1-8- [c39]Justin Dettmer
, Igor Vatolkin, Tobias Glasmachers:
Weighted Initialisation of Evolutionary Instrument and Pitch Detection in Polyphonic Music. EvoMUSART 2024: 114-129 - [c38]Leonard Fricke, Mark Gotham, Fabian Ostermann, Igor Vatolkin:
Adaptation and Optimization of AugmentedNet for Roman Numeral Analysis Applied to Audio Signals. EvoMUSART 2024: 146-161 - 2023
- [j6]Fabian Ostermann, Igor Vatolkin, Martin Ebeling:
AAM: a dataset of Artificial Audio Multitracks for diverse music information retrieval tasks. EURASIP J. Audio Speech Music. Process. 2023(1): 13 (2023) - [c37]Leonard Fricke, Igor Vatolkin, Fabian Ostermann:
Application of Neural Architecture Search to Instrument Recognition in Polyphonic Audio. EvoMUSART@EvoStar 2023: 117-131 - [c36]Igor Vatolkin, Mark Gotham, Néstor Nápoles López, Fabian Ostermann:
Musical Genre Recognition Based on Deep Descriptors of Harmony, Instrumentation, and Segments. EvoMUSART@EvoStar 2023: 413-427 - 2022
- [j5]Igor Vatolkin, Cory McKay:
Multi-Objective Investigation of Six Feature Source Types for Multi-Modal Music Classification. Trans. Int. Soc. Music. Inf. Retr. 5(1): 1-19 (2022) - [c35]Leonard Fricke, Jurij Kuzmic, Igor Vatolkin:
Suppression of Background Noise in Speech Signals with Artificial Neural Networks, Exemplarily Applied to Keyboard Sounds. IJCCI 2022: 367-374 - [c34]Igor Vatolkin, Cory McKay:
Stability of Symbolic Feature Group Importance in the Context of Multi-Modal Music Classification. ISMIR 2022: 469-476 - 2021
- [j4]Ben Wilkes, Igor Vatolkin, Heinrich Müller:
Statistical and Visual Analysis of Audio, Text, and Image Features for Multi-Modal Music Genre Recognition. Entropy 23(11): 1502 (2021) - [j3]Fabian Ostermann, Igor Vatolkin, Günter Rudolph:
Evaluating Creativity in Automatic Reactive Accompaniment of Jazz Improvisation. Trans. Int. Soc. Music. Inf. Retr. 4(1): 210 (2021) - [c33]Igor Vatolkin, Benedikt Adrian, Jurij Kuzmic:
A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features. EvoMUSART 2021: 313-326 - [c32]Igor Vatolkin, Marcel Koch, Meinard Müller:
A Multi-objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation. EvoMUSART 2021: 327-343 - [c31]Igor Vatolkin, Fabian Ostermann, Meinard Müller:
An evolutionary multi-objective feature selection approach for detecting music segment boundaries of specific types. GECCO 2021: 1061-1069 - [c30]Igor Vatolkin, Philipp Ginsel, Günter Rudolph:
Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade. SIGIR 2021: 2383-2389 - 2020
- [c29]Philipp Ginsel, Igor Vatolkin, Günter Rudolph:
Analysis of Structural Complexity Features for Music Genre Recognition. CEC 2020: 1-8 - [c28]Igor Vatolkin:
Evolutionary Approximation of Instrumental Texture in Polyphonic Audio Recordings. CEC 2020: 1-8 - [c27]Frederik Heerde, Igor Vatolkin, Günter Rudolph:
Comparing Fuzzy Rule Based Approaches for Music Genre Classification. EvoMUSART 2020: 35-48
2010 – 2019
- 2019
- [c26]Igor Vatolkin, Daniel Stoller:
Evolutionary Multi-objective Training Set Selection of Data Instances and Augmentations for Vocal Detection. EvoMUSART 2019: 201-216 - 2018
- [c25]Igor Vatolkin, Günter Rudolph:
Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures. ISMIR 2018: 554-560 - 2017
- [c24]Fabian Ostermann, Igor Vatolkin, Günter Rudolph:
Evaluation Rules for Evolutionary Generation of Drum Patterns in Jazz Solos. EvoMUSART 2017: 246-261 - [c23]Igor Vatolkin:
Generalisation Performance of Western Instrument Recognition Models in Polyphonic Mixtures with Ethnic Samples. EvoMUSART 2017: 304-320 - [c22]Florian Scholz, Igor Vatolkin, Günter Rudolph:
Singing Voice Detection across Different Music Genres. Semantic Audio 2017 - 2015
- [c21]Igor Vatolkin:
Exploration of Two-Objective Scenarios on Supervised Evolutionary Feature Selection: A Survey and a Case Study (Application to Music Categorisation). EMO (2) 2015: 529-543 - [c20]Igor Vatolkin, Günter Rudolph, Claus Weihs:
Interpretability of Music Classification as a Criterion for Evolutionary Multi-objective Feature Selection. EvoMUSART 2015: 236-248 - [c19]Igor Vatolkin, Günter Rudolph, Claus Weihs:
Evaluation of Album Effect for Feature Selection in Music Genre Recognition. ISMIR 2015: 169-175 - 2014
- [c18]Igor Vatolkin, Geoffray Bonnin, Dietmar Jannach:
Comparing Audio Features and Playlist Statistics for Music Classification. ECDA 2014: 437-447 - 2013
- [b1]Igor Vatolkin:
Improving supervised music classification by means of multi-objective evolutionary feature selection. Dortmund University of Technology, 2013 - [c17]Daniel Stoller, Matthias Mauch, Igor Vatolkin, Claus Weihs:
Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition. ECDA 2013: 411-421 - [c16]Igor Vatolkin, Günter Rudolph:
Interpretable Music Categorisation Based on Fuzzy Rules and High-Level Audio Features. ECDA 2013: 423-432 - [c15]Igor Vatolkin, Anil M. Nagathil, Wolfgang M. Theimer, Rainer Martin:
Performance of Specific vs. Generic Feature Sets in Polyphonic Music Instrument Recognition. EMO 2013: 587-599 - [c14]Igor Vatolkin:
Measuring the Performance of Evolutionary Multi-Objective Feature Selection for Prediction of Musical Genres and Styles. GI-Jahrestagung 2013: 3012-3025 - [p3]Markus Eichhoff, Igor Vatolkin, Claus Weihs:
Piano and Guitar Tone Distinction Based on Extended Feature Analysis. Classification and Data Mining 2013: 215-224 - [p2]Verena Mattern, Igor Vatolkin, Günter Rudolph:
A Case Study About the Effort to Classify Music Intervals by Chroma and Spectrum Analysis. Algorithms from and for Nature and Life 2013: 519-528 - [p1]Günther Rötter, Igor Vatolkin, Claus Weihs:
Computational Prediction of High-Level Descriptors of Music Personal Categories. Algorithms from and for Nature and Life 2013: 529-537 - 2012
- [j2]Igor Vatolkin, Mike Preuß, Günter Rudolph, Markus Eichhoff, Claus Weihs:
Multi-objective evolutionary feature selection for instrument recognition in polyphonic audio mixtures. Soft Comput. 16(12): 2027-2047 (2012) - [c13]Annika Jordan, Dimitri Scheftelowitsch, Jan Lahni, Jannic Hartwecker, Matthias Kuchem, Mirko Walter-Huber, Nils Vortmeier, Tim Delbrügger, Ümit Güler, Igor Vatolkin, Mike Preuss:
BeatTheBeat music-based procedural content generation in a mobile game. CIG 2012: 320-327 - [c12]Igor Vatolkin, Bernd Bischl, Günter Rudolph, Claus Weihs:
Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition. GfKl 2012: 171-178 - [c11]Igor Vatolkin, Günther Rötter, Claus Weihs:
Music Genre Prediction by Low-Level and High-Level Characteristics. GfKl 2012: 427-434 - 2011
- [j1]Holger Blume, Bernd Bischl, Martin Botteck, Christian Igel, Rainer Martin, Günther Rötter, Günter Rudolph, Wolfgang M. Theimer, Igor Vatolkin, Claus Weihs:
Huge Music Archives on Mobile Devices. IEEE Signal Process. Mag. 28(4): 24-39 (2011) - [c10]Igor Vatolkin, Mike Preuß, Günter Rudolph:
Multi-objective feature selection in music genre and style recognition tasks. GECCO 2011: 411-418 - [c9]Thorsten Deinert, Igor Vatolkin, Günter Rudolph:
Regression-Based Tempo Recognition from Chroma and Energy Accents for Slow Audio Recordings. Semantic Audio 2011 - 2010
- [c8]Anil M. Nagathil, Igor Vatolkin, Wolfgang M. Theimer:
Comparison of Partition-Based Audio Features for Music Classification. Sprachkommunikation 2010: 1-4 - [c7]Igor Vatolkin:
Multi-Objective Evaluation of Music Classification. GfKl 2010: 401-410 - [c6]Igor Vatolkin, Wolfgang M. Theimer, Martin Botteck:
Partition Based Feature Processing for Improved Music Classification. GfKl 2010: 411-419 - [c5]Claus Weihs, Klaus Friedrichs, Markus Eichhoff, Igor Vatolkin:
Software in Music Information Retrieval. GfKl 2010: 421-432 - [c4]Igor Vatolkin, Wolfgang M. Theimer, Martin Botteck:
AMUSE (Advanced MUSic Explorer) - A Multitool Framework for Music Data Analysis. ISMIR 2010: 33-38 - [c3]Bernd Bischl, Igor Vatolkin, Mike Preuss:
Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation. PPSN (1) 2010: 314-323
2000 – 2009
- 2009
- [c2]Igor Vatolkin, Wolfgang M. Theimer, Günter Rudolph:
Design and comparison of different evolution strategies for feature selection and consolidation in music classification. IEEE Congress on Evolutionary Computation 2009: 174-181 - 2008
- [c1]Igor Vatolkin, Wolfgang M. Theimer:
Optimization of Feature Processing Chain in Music Classification by Evolution Strategies. PPSN 2008: 1150-1159
Coauthor Index
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last updated on 2024-09-13 00:44 CEST by the dblp team
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