Computational Intelligence for Music Information Retrieval / Music Data Analysis
Multi-Objective Evaluation and Optimization of Machine Learning Approaches
Feature Selection and Interpretability of Classification Models

From 08.2023, I am Akamedischer Rat at RWTH Aachen University, Chair for AI Methodology; however, this news page will still be updated from time to time
02.2024 [Call] Call for papers for TISMIR Special Collection on Multi-Modal Music Information Retrieval: the deadline is on 01.08.2024
02.2024 [SIGMA] The program of SIGMA #56 on 15.02 is online
06.2023 [SIGMA] The program of SIGMA #55 on 16.06 is online
03.2023 [Publication] F. Ostermann, I. Vatolkin, and M. Ebeling: AAM: A Dataset of Artificial Audio Multitracks for Diverse Music Information Retrieval Tasks is accepted for EURASIP Journal on Audio, Speech, and Music Processing
01.2023 [Publication] L. Fricke, I. Vatolkin, and F. Ostermann: Application of Neural Architecture Search to Instrument Recognition in Polyphonic Audio is accepted for EvoMUSART 2023
01.2023 [Publication] I. Vatolkin, M. Gotham, N. Nápoles López, and F. Ostermann: Musical Genre Recognition based on Deep Descriptors of Harmony, Instrumentation, and Segments is accepted for EvoMUSART 2023
01.2023 [Teaching] Software project Music Informatics will take place in summer term 2023
01.2023 [SIGMA] The program of SIGMA #54 on 16.01 is online
11.2022 [Call] Call for papers for Real World Applications track (including creative arts, design, games, and music) at GECCO 2023: the abstract deadline is on 03.02.2023
09.2022 [Teaching] An interdisciplinary lecture "Music data analysis" takes place in winter term 2022/23
08.2022 [Call] Call for papers for EvoMUSART 2023: the deadline is on 01.11.2022
08.2022 [Publication] L. Fricke, J. Kuzmic, I. Vatolkin: Suppression of Background Noise in Speech Signals with Artificial Neural Networks, Exemplarily Applied to Keyboard Sounds is accepted for NCTA 2022
07.2022 [Publication] I. Vatolkin, C. McKay: Stability of Symbolic Feature Group Importance in the Context of Multi-Modal Music Classification is accepted for ISMIR 2022
07.2022 [Publication] F. Ostermann, I. Vatolkin, G. Rudolph: Artificial Music Producer: Filtering Music Compositions by Artificial Taste is accepted for AIMC 2022
[see also the past news]

03.2023 [j9] F. Ostermann, I. Vatolkin, and M. Ebeling: AAM: A Dataset of Artificial Audio Multitracks for Diverse Music Information Retrieval Tasks. Accepted for EURASIP Journal on Audio, Speech, and Music Processing
01.2023 [c43] L. Fricke, I. Vatolkin, and F. Ostermann: Application of Neural Architecture Search to Instrument Recognition in Polyphonic Audio is accepted for EvoMUSART 2023
01.2023 [c42] I. Vatolkin, M. Gotham, N. Nápoles López, and F. Ostermann: Musical Genre Recognition based on Deep Descriptors of Harmony, Instrumentation, and Segments is accepted for EvoMUSART 2023
08.2022 [c41] L. Fricke, J. Kuzmic, I. Vatolkin: Suppression of Background Noise in Speech Signals with Artificial Neural Networks, Exemplarily Applied to Keyboard Sounds is accepted for NCTA 2022
07.2022 [c40] I. Vatolkin, C. McKay: Stability of Symbolic Feature Group Importance in the Context of Multi-Modal Music Classification is accepted for ISMIR 2022
07.2022 [c39] F. Ostermann, I. Vatolkin, G. Rudolph: Artificial Music Producer: Filtering Music Compositions by Artificial Taste is accepted for AIMC 2022
03.2022 [c38] I. Vatolkin: Identification of the Most Relevant Zygonic Statistics and Semantic Audio Features for Genre Recognition. Accepted for Proceedings of the International Computer Music Conference 2022 (ICMC)
01.2022 [j8] I. Vatolkin, C. McKay: Multi-Objective Investigation of Six Feature Source Types for Multi-Modal Music Classification. Transactions of the International Society for Music Information Retrieval, 5(1):1-19
11.2021 [j7] F. Ostermann, I. Vatolkin, G. Rudolph: Evaluating Creativity in Automatic Reactive Accompaniment of Jazz Improvisation. Transactions of the International Society for Music Information Retrieval, 4(1):210-222
11.2021 [j6] B. Wilkes, I. Vatolkin, and H. Müller: Statistical and Visual Analysis of Audio, Text, and Image Features for Multi-Modal Music Genre Recognition. Entropy, 23(11)
[see also the complete publication list]

Summer 2023 [Fachprojekt] Music Informatics
Winter 2021/2022 [Proseminar] Current Challenges in Music Data Analysis
Winter 2021/2022 [Proseminar] Computational Intelligence in Games
Summer 2022 [Fachprojekt] Music Informatics
Summer 2022 [Proseminar] Computational Intelligence in Games
Winter 2021/2022 [Proseminar] Actual Challenges in Music Data Analysis
[see also the complete course list]
[if you are interested in bachelor or master thesis, please contact me per email!]

07.2022 [Teaching] Proseminars Current challenges in music data analysis and Computational Intelligence in games will take place in winter term 2022/23
06.2022 [SIGMA] The program of SIGMA #53 on 30.06 is online
03.2022 [Publication] I. Vatolkin: Identification of the Most Relevant Zygonic Statistics and Semantic Audio Features for Genre Recognition accepted for ICMC 2022
03.2022 [SIGMA] The program of SIGMA #52 on 31.03 is online
01.2022 [Publication] I. Vatolkin, C. McKay: Multi-Objective Investigation of Six Feature Source Types for Multi-Modal Music Classification published in Transactions of the International Society for Music Information Retrieval
01.2022 [SIGMA] The program of SIGMA #51 on 10.01 is online
12.2021 [Publication] F. Ostermann, I. Vatolkin, G. Rudolph: Evaluating Creativity in Automatic Reactive Accompaniment of Jazz Improvisation published in Transactions of the International Society for Music Information Retrieval
11.2021 [Publication] B. Wilkes, I. Vatolkin, H. Müller: Statistical and Visual Analysis of Audio, Text, and Image Features for Multi-Modal Music Genre Recognition accepted for Entropy
11.2021 [Call] Submission deadline to EvoMUSART extended to 24.11.2021
10.2021 [Publication] I. Vatolkin: Improving Interpretable Genre Recognition with Audio Feature Statistics Based on Zygonic Theory accepted for NordicSMC
09.2021 [Job offer] Student assistant (8h/week)
06.2021 [SIGMA] The program of SIGMA #50 on 24.09 is online
[see also the past news]
06.2021: The program of SIGMA #49 on 18.06 is online
04.2021: Paper on advancements in the AMUSE framework accepted for SIGIR 2021
03.2021: Paper on multi-objective feature selection for detection of specific boundaries accepted for GECCO 2021
03.2021: The program of SIGMA #48 on 15.03 is online
01.2021: Papers on multi-objective optimisation of music segmentation and combination of deep and shallow learning for genre recognition accepted for EvoMUSART 2021
01.2021: Software project "Music Informatics" will take place in summer term 2021
08.2020: Lecture "Music Data Analysis" will take place in winter term 2020/2021
08.2020: Software project "Music Informatics" will take place in winter term 2020/2021
07.2020: Two papers were presented at WCCI 2020: on evolutionary approximation of polyphonic signals and structural complexity features for genre recognition
05.2020: The program of SIGMA #47 on 19.06 is online
12.2019: Call for papers for GECCO 2020 in Cancun with Digital Entertainment Technologies and Arts (DETA) track
11.2019: The book Applications in Statistical Computing: From Music Data Analysis to Industrial Quality Improvement has been published
10.2019: Software project "Music Informatics" started in winter term 2019/2020
01.2019: Paper on evolutionary training set selection accepted for EvoMUSART 2019
01.2019: Call for papers for GECCO 2019 in Prague with Digital Entertainment Technologies and Arts (DETA) track
03.2018: Call for abstracts "Statistical Musicology" session @ ECDA 2018
02.2018: DFG-funded project Evolutionary optimisation for interpretable music segmentation and music categorisation based on discretised semantic metafeatures is started
01.2018: The next course on music data analysis based on the textbook Music Data Analysis: Foundations and Applications takes place at TU Dortmund, Department of Computer Science in summer term 2018 (see also the course web page from the last year)
01.2018: Test persons with basic skills in jazz and improvisation are searched for an experiment (1.5h/20€)
12.2017: Job offer for a student assisitant (8h/week)
12.2017: The program of SIGMA #41 on 20.12 is online
07.2017: The course on music data analysis based on the textbook Music Data Analysis: Foundations and Applications will again take place at TU Dortmund, Department of Statistics in September 2017
05.2017: Tutorial "Automatisierte Methoden der Musikverarbeitung" in Chemnitz, 25.09.2017
03.2017: Call for papers for German-speaking workshop "Musik trifft Informatik" in Chemnitz, 26.09.2017
02.2017: Student project group PG 607: The Reactive Jukebox will start in summer term 2017
01.2017: Two papers accepted for EvoMUSART 2017: "Generalisation Performance of Western Instrument Recognition Models in Polyphonic Mixtures with Ethnic Samples",
"Evaluation Rules for Evolutionary Generation of Drum Patterns in Jazz Solos"
12.2016: Exercises manual is now available for music data analysis textbook
11.2016: The textbook C. Weihs, D. Jannach, I. Vatolkin, G. Rudolph (Eds.): Music Data Analysis: Foundations and Applications is published
10.2016: Call for papers for GECCO 2017 in Berlin with Digital Entertainment Technologies and Arts (DETA) track
10.2016: Proseminars Actual challenges in music data analysis and Computational Intelligence in games started
09.2016: Interdisciplinary course on music data analysis based on the textbook Music Data Analysis: Foundations and Applications took place at TU Dortmund
01.2015: Paper "Interpretability of Music Classification as a Criterion for Evolutionary Multi-Objective Feature Selection" is accepted for EvoMUSART 2015
12.2014: Paper "Exploration of Two-Objective Scenarios on Supervised Evolutionary Feature Selection: a Survey and a Case Study (Application to Music Categorisation)" is accepted for EMO 2015
10.2014: Proseminar Established and actual approaches in feature selection started
01.2014: Call for abstracts for Statistical Musicology at ECDA 2013
07.2013: Project group 577 "Music recommender systems - automatic generation of playlists for music discovery" will start in winter term 2013/2014 (see list of project groups)
06.2013: PhD Improving Supervised Music Classification by Means of Multi-Objective Evolutionary Feature Selection is available online
07.2012: Soft Computing article about feature selection for music instrument recognition is available online
04.2012: Project group 554 "Mobile music games" is finished: poster
03.2012: Call for abstracts for Music Session at GfKl 2012
11.2011: Project group 554 "Mobile music games" presented a poster at Alumni day
04.2011: SIGMA organizes Music Classification Workshop during joint GfKl/DAGM conference
03.2011: Paper "Multi-Objective Feature Selection in Music Genre and Style Recognition Tasks" is accepted for GECCO 2011
12.2010: The web page about the activities of the Special Interest Group on Music Analysis has been launched. You can subscribe to the RSS feed to be updated with recent news
10.2010: Project group "Mobile music worlds – explorative games for navigation through digital music collections" is accepted and will start in summer term 2011
05.2010: Talk accepted for GfKl 2010
01.2010: Talk accepted for DAGSTAT 2010
10.2009: Seminar Creative Algorithms