Optimization of Feature Processing Chain in Music Classification by Evolution Strategies. - Igor Vatolkin; Wolfgang M. Theimer (PPSN, 2008)

Design and comparison of different evolution strategies for feature selection and consolidation in music classification. - Igor Vatolkin; Wolfgang M. Theimer; Günter Rudolph (IEEE Congress on Evolutionary Computation, 2009)

Comparison of Partition-Based Audio Features for Music Classification. - Anil M. Nagathil; Igor Vatolkin; Wolfgang M. Theimer (Sprachkommunikation, 2010)

Multi-Objective Evaluation of Music Classification. - Igor Vatolkin (GfKl, 2010)

Partition Based Feature Processing for Improved Music Classification. - Igor Vatolkin; Wolfgang M. Theimer; Martin Botteck (GfKl, 2010)

Software in Music Information Retrieval. - Claus Weihs; Klaus Friedrichs; Markus Eichhoff; Igor Vatolkin (GfKl, 2010)

AMUSE (Advanced MUSic Explorer) - A Multitool Framework for Music Data Analysis. - Igor Vatolkin; Wolfgang M. Theimer; Martin Botteck (ISMIR, 2010)

Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation. - Bernd Bischl; Igor Vatolkin; Mike Preuss (PPSN (1), 2010)

Multi-objective feature selection in music genre and style recognition tasks. - Igor Vatolkin; Mike Preuß; Günter Rudolph (GECCO, 2011)

Regression-Based Tempo Recognition from Chroma and Energy Accents for Slow Audio Recordings. - Thorsten Deinert; Igor Vatolkin; Günter Rudolph (Semantic Audio, 2011)

Huge Music Archives on Mobile Devices. - Holger Blume; Bernd Bischl; Martin Botteck; Christian Igel; Rainer Martin 001; Günther Rötter; Günter Rudolph; Wolfgang M. Theimer; Igor Vatolkin; Claus Weihs (IEEE Signal Process. Mag., 2011)

BeatTheBeat music-based procedural content generation in a mobile game. - Annika Jordan; Dimitri Scheftelowitsch; Jan Lahni; Jannic Hartwecker; Matthias Kuchem; Mirko Walter-Huber; Nils Vortmeier; Tim Delbrügger; Ümit Güler; Igor Vatolkin; Mike Preuss (CIG, 2012)

Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition. - Igor Vatolkin; Bernd Bischl; Günter Rudolph; Claus Weihs (GfKl, 2012)

Music Genre Prediction by Low-Level and High-Level Characteristics. - Igor Vatolkin; Günther Rötter; Claus Weihs (GfKl, 2012)

Multi-objective evolutionary feature selection for instrument recognition in polyphonic audio mixtures. - Igor Vatolkin; Mike Preuß; Günter Rudolph; Markus Eichhoff; Claus Weihs (Soft Comput., 2012)

Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition. - Daniel Stoller; Matthias Mauch; Igor Vatolkin; Claus Weihs (ECDA, 2013)

Interpretable Music Categorisation Based on Fuzzy Rules and High-Level Audio Features. - Igor Vatolkin; Günter Rudolph (ECDA, 2013)

Performance of Specific vs. Generic Feature Sets in Polyphonic Music Instrument Recognition. - Igor Vatolkin; Anil M. Nagathil; Wolfgang M. Theimer; Rainer Martin 001 (EMO, 2013)

Measuring the Performance of Evolutionary Multi-Objective Feature Selection for Prediction of Musical Genres and Styles. - Igor Vatolkin (GI-Jahrestagung, 2013)

Improving supervised music classification by means of multi-objective evolutionary feature selection. - Igor Vatolkin (2013)

Piano and Guitar Tone Distinction Based on Extended Feature Analysis. - Markus Eichhoff; Igor Vatolkin; Claus Weihs (Classification and Data Mining, 2013)

A Case Study About the Effort to Classify Music Intervals by Chroma and Spectrum Analysis. - Verena Mattern; Igor Vatolkin; Günter Rudolph (Algorithms from and for Nature and Life, 2013)

Computational Prediction of High-Level Descriptors of Music Personal Categories. - Günther Rötter; Igor Vatolkin; Claus Weihs (Algorithms from and for Nature and Life, 2013)

Comparing Audio Features and Playlist Statistics for Music Classification. - Igor Vatolkin; Geoffray Bonnin; Dietmar Jannach (ECDA, 2014)

Exploration of Two-Objective Scenarios on Supervised Evolutionary Feature Selection: A Survey and a Case Study (Application to Music Categorisation). - Igor Vatolkin (EMO (2), 2015)

Interpretability of Music Classification as a Criterion for Evolutionary Multi-objective Feature Selection. - Igor Vatolkin; Günter Rudolph; Claus Weihs (EvoMUSART, 2015)

Evaluation of Album Effect for Feature Selection in Music Genre Recognition. - Igor Vatolkin; Günter Rudolph; Claus Weihs (ISMIR, 2015)

Evaluation Rules for Evolutionary Generation of Drum Patterns in Jazz Solos. - Fabian Ostermann; Igor Vatolkin; Günter Rudolph (EvoMUSART, 2017)

Generalisation Performance of Western Instrument Recognition Models in Polyphonic Mixtures with Ethnic Samples. - Igor Vatolkin (EvoMUSART, 2017)

Singing Voice Detection across Different Music Genres. - Florian Scholz; Igor Vatolkin; Günter Rudolph (Semantic Audio, 2017)

Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures. - Igor Vatolkin; Günter Rudolph (ISMIR, 2018)

Evolutionary Multi-objective Training Set Selection of Data Instances and Augmentations for Vocal Detection. - Igor Vatolkin; Daniel Stoller (EvoMUSART, 2019)

Analysis of Structural Complexity Features for Music Genre Recognition. - Philipp Ginsel; Igor Vatolkin; Günter Rudolph (CEC, 2020)

Evolutionary Approximation of Instrumental Texture in Polyphonic Audio Recordings. - Igor Vatolkin (CEC, 2020)

Comparing Fuzzy Rule Based Approaches for Music Genre Classification. - Frederik Heerde; Igor Vatolkin; Günter Rudolph (EvoMUSART, 2020)

A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features. - Igor Vatolkin; Benedikt Adrian; Jurij Kuzmic (EvoMUSART, 2021)

A Multi-objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation. - Igor Vatolkin; Marcel Koch; Meinard Müller (EvoMUSART, 2021)

An evolutionary multi-objective feature selection approach for detecting music segment boundaries of specific types. - Igor Vatolkin; Fabian Ostermann; Meinard Müller (GECCO, 2021)

Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade. - Igor Vatolkin; Philipp Ginsel; Günter Rudolph (SIGIR, 2021)

Statistical and Visual Analysis of Audio, Text, and Image Features for Multi-Modal Music Genre Recognition. - Ben Wilkes; Igor Vatolkin; Heinrich Müller (Entropy, 2021)

Evaluating Creativity in Automatic Reactive Accompaniment of Jazz Improvisation. - Fabian Ostermann; Igor Vatolkin; Günter Rudolph (Trans. Int. Soc. Music. Inf. Retr., 2021)

Suppression of Background Noise in Speech Signals with Artificial Neural Networks, Exemplarily Applied to Keyboard Sounds. - Leonard Fricke; Jurij Kuzmic; Igor Vatolkin (IJCCI, 2022)

Stability of Symbolic Feature Group Importance in the Context of Multi-Modal Music Classification. - Igor Vatolkin; Cory McKay (ISMIR, 2022)

Multi-Objective Investigation of Six Feature Source Types for Multi-Modal Music Classification. - Igor Vatolkin; Cory McKay (Trans. Int. Soc. Music. Inf. Retr., 2022)

Application of Neural Architecture Search to Instrument Recognition in Polyphonic Audio. - Leonard Fricke; Igor Vatolkin; Fabian Ostermann (EvoMUSART@EvoStar, 2023)

Musical Genre Recognition Based on Deep Descriptors of Harmony, Instrumentation, and Segments. - Igor Vatolkin; Mark Gotham; Néstor Nápoles López; Fabian Ostermann (EvoMUSART@EvoStar, 2023)

AAM: a dataset of Artificial Audio Multitracks for diverse music information retrieval tasks. - Fabian Ostermann; Igor Vatolkin; Martin Ebeling (EURASIP J. Audio Speech Music. Process., 2023)

Observation Encoding for Reinforcement Learning Agents in 3D Game Environments. - Lennart Haase; Nicolas Fischöder; Igor Vatolkin (CoG, 2024)

Weighted Initialisation of Evolutionary Instrument and Pitch Detection in Polyphonic Music. - Justin Dettmer; Igor Vatolkin; Tobias Glasmachers (EvoMUSART, 2024)

Adaptation and Optimization of AugmentedNet for Roman Numeral Analysis Applied to Audio Signals. - Leonard Fricke; Mark Gotham; Fabian Ostermann; Igor Vatolkin (EvoMUSART, 2024)

Towards an 'Everything Corpus': A Framework and Guidelines for the Curation of More Comprehensive Multimodal Music Data. - Mark Gotham; Brian Bemman; Igor Vatolkin (Trans. Int. Soc. Music. Inf. Retr., 2025)