Igor Vatolkin
Orcid: 0000-0002-9454-9402
According to our database1,
Igor Vatolkin
authored at least 49 papers
between 2008 and 2024.
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Bibliography
2024
Adaptation and Optimization of AugmentedNet for Roman Numeral Analysis Applied to Audio Signals.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2024
Weighted Initialisation of Evolutionary Instrument and Pitch Detection in Polyphonic Music.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2024
2023
AAM: a dataset of Artificial Audio Multitracks for diverse music information retrieval tasks.
EURASIP J. Audio Speech Music. Process., December, 2023
Musical Genre Recognition Based on Deep Descriptors of Harmony, Instrumentation, and Segments.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2023
Application of Neural Architecture Search to Instrument Recognition in Polyphonic Audio.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2023
2022
Multi-Objective Investigation of Six Feature Source Types for Multi-Modal Music Classification.
Trans. Int. Soc. Music. Inf. Retr., 2022
Stability of Symbolic Feature Group Importance in the Context of Multi-Modal Music Classification.
Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022
Suppression of Background Noise in Speech Signals with Artificial Neural Networks, Exemplarily Applied to Keyboard Sounds.
Proceedings of the 14th International Joint Conference on Computational Intelligence, 2022
2021
Trans. Int. Soc. Music. Inf. Retr., 2021
Statistical and Visual Analysis of Audio, Text, and Image Features for Multi-Modal Music Genre Recognition.
Entropy, 2021
Advancements in the Music Information Retrieval Framework AMUSE over the Last Decade.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
An evolutionary multi-objective feature selection approach for detecting music segment boundaries of specific types.
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
A Multi-objective Evolutionary Approach to Identify Relevant Audio Features for Music Segmentation.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2021
A Fusion of Deep and Shallow Learning to Predict Genres Based on Instrument and Timbre Features.
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2021
2020
Proceedings of the Artificial Intelligence in Music, Sound, Art and Design, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
Proceedings of the IEEE Congress on Evolutionary Computation, 2020
2019
Evolutionary Multi-objective Training Set Selection of Data Instances and Augmentations for Vocal Detection.
Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2019
2018
Comparison of Audio Features for Recognition of Western and Ethnic Instruments in Polyphonic Mixtures.
Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018
2017
Proceedings of the AES International Conference Semantic Audio 2017, 2017
Generalisation Performance of Western Instrument Recognition Models in Polyphonic Mixtures with Ethnic Samples.
Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2017
Proceedings of the Computational Intelligence in Music, Sound, Art and Design, 2017
2015
Proceedings of the 16th International Society for Music Information Retrieval Conference, 2015
Interpretability of Music Classification as a Criterion for Evolutionary Multi-objective Feature Selection.
Proceedings of the Evolutionary and Biologically Inspired Music, Sound, Art and Design, 2015
Exploration of Two-Objective Scenarios on Supervised Evolutionary Feature Selection: A Survey and a Case Study (Application to Music Categorisation).
Proceedings of the Evolutionary Multi-Criterion Optimization, 2015
2014
Proceedings of the Analysis of Large and Complex Data, 2014
2013
Proceedings of the Algorithms from and for Nature and Life, 2013
A Case Study About the Effort to Classify Music Intervals by Chroma and Spectrum Analysis.
Proceedings of the Algorithms from and for Nature and Life, 2013
Proceedings of the Classification and Data Mining, 2013
Improving supervised music classification by means of multi-objective evolutionary feature selection.
PhD thesis, 2013
Measuring the Performance of Evolutionary Multi-Objective Feature Selection for Prediction of Musical Genres and Styles.
Proceedings of the 43. Jahrestagung der Gesellschaft für Informatik, 2013
Performance of Specific vs. Generic Feature Sets in Polyphonic Music Instrument Recognition.
Proceedings of the Evolutionary Multi-Criterion Optimization, 2013
Interpretable Music Categorisation Based on Fuzzy Rules and High-Level Audio Features.
Proceedings of the Data Science, 2013
Impact of Frame Size and Instrumentation on Chroma-Based Automatic Chord Recognition.
Proceedings of the Data Science, 2013
2012
Multi-objective evolutionary feature selection for instrument recognition in polyphonic audio mixtures.
Soft Comput., 2012
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012
Statistical Comparison of Classifiers for Multi-objective Feature Selection in Instrument Recognition.
Proceedings of the Data Analysis, Machine Learning and Knowledge Discovery, 2012
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012
2011
Regression-Based Tempo Recognition from Chroma and Energy Accents for Slow Audio Recordings.
Proceedings of the AES International Conference Semantic Audio 2011, 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
2010
Selecting Small Audio Feature Sets in Music Classification by Means of Asymmetric Mutation.
Proceedings of the Parallel Problem Solving from Nature, 2010
Proceedings of the 11th International Society for Music Information Retrieval Conference, 2010
Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010
Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010
Proceedings of the Challenges at the Interface of Data Analysis, Computer Science, and Optimization - Proceedings of the 34th Annual Conference of the Gesellschaft für Klassifikation e. V., Karlsruhe, July 21, 2010
Proceedings of the 9. ITG-Fachtagung Sprachkommunikation 2010, 2010
2009
Design and comparison of different evolution strategies for feature selection and consolidation in music classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2009
2008
Optimization of Feature Processing Chain in Music Classification by Evolution Strategies.
Proceedings of the Parallel Problem Solving from Nature, 2008