Publications

2017

User Perception of Next-Track Music Recommendations
I. Kamehkhosh, D. Jannach
Accepted for Proceedings of the 25th Conference on User Modelling, Adaptation and Personalization (UMAP), Bratislava, Slovakia

Singing Voice Detection across Different Music Genres
F. Scholz, I. Vatolkin, G. Rudolph
Accepted for Proceedings of the 2017 AES Conference on Semantic Audio, Erlangen, Germany

Evaluation Rules for Evolutionary Generation of Drum Patterns in Jazz Solos
F. Ostermann, I. Vatolkin, G. Rudolph
Accepted for Proceedings of the 6th International Conference on Computational Intelligence in Music, Sound, Art and Design (EvoMUSART), Amsterdam, The Netherlands

Generalisation Performance of Western Instrument Recognition Models in Polyphonic Mixtures with Ethnic Samples
I. Vatolkin
Accepted for Proceedings of the 6th International Conference on Computational Intelligence in Music, Sound, Art and Design (EvoMUSART), Amsterdam, The Netherlands

2016

Biases in Automated Music Playlist Generation: A Comparison of Next-Track Recommending Techniques, User Modeling, Adaptation and Personalization
D. Jannach, I. Kamehkhosch, G. Bonnin
Proceedings of User Modeling, Adaptation and Personalization (UMAP), pp. 281-285, Halifax, Canada

Spectral Complexity Reduction of Music Signals for Mitigating Effects of Cochlear Hearing Loss
A. Nagathil, C. Weihs, R. Martin
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 24(3):445-458

2015

Evaluation of Album Effect for Feature Selection in Music Genre Recognition
I. Vatolkin, G. Rudolph, C. Weihs
Proceedings of the 16th International Society for Music Information Retrieval Conference (ISMIR), pp. 169-175, Malaga, Spain

Beyond “Hitting the Hits” – Generating Coherent Music Playlist Continuations with the Right Tracks
D. Jannach, L. Lerche, I. Kamehkhosh
Proceedings of the 9th ACM Conference on Recommender Systems (RecSys), pp. 187-194, Vienna, Austria

Interpretability of Music Classification as a Criterion for Evolutionary Multi-Objective Feature Selection
I. Vatolkin, G. Rudolph, C. Weihs
Proceedings of the 4th European Conference on Evolutionary and Biologically Inspired Music, Sound, Art and Design (EvoMUSART), pp. 236-248, Copenhagen, Denmark

Exploration of Two-Objective Scenarios on Supervised Evolutionary Feature Selection: a Survey and a Case Study (Application to Music Categorisation)
I. Vatolkin
Proceedings of the 8th International Conference on Evolutionary Multi-Criterion Optimization (EMO), pp. 529-543, Guimarães, Portugal

Comparing Audio Features and Playlist Statistics for Music Classification
I. Vatolkin, G. Bonnin, D. Jannach
Proceedings of the 2nd European Conference on Data Analysis (ECDA 2014), Bremen, Germany

2014

Automated Generation of Music Playlists: Survey and Experiments
G. Bonnin and D. Jannach
ACM Computing Surveys, Vol. 47, No. 2, Article 26

Analyzing the Characteristics of Shared Playlists for Music Recommendation
D. Jannach, I. Kamehkhosh, G. Bonnin
Proceedings of the 6th ACM RecSys Workshop on Recommender Systems and Social Web

Interpretable Music Categorisation based on Fuzzy Rules and High-Level Audio Features Features
I. Vatolkin and G. Rudolph
Accepted for Proceedings of the 2013 European Conference on Data Analysis (ECDA), Luxembourg, Luxembourg

Impact of Frame Size and Instrumentation on Chroma-based Automatic Chord Recognition
D. Stoller, M. Mauch, I. Vatolkin and C. Weihs
Accepted for Proceedings of the 2013 European Conference on Data Analysis (ECDA), Luxembourg, Luxembourg

2013

Evaluating the Quality of Generated Playlists Based on Hand-Crafted Samples
G. Bonnin and D. Jannach
Proceedings of the 14th International Society for Music Information Retrieval Conference (ISMIR), pp. 263-268, Curitiba, Brazil

Measuring the Performance of Evolutionary Multi-Objective Feature Selection for Prediction of Musical Genres and Styles
I. Vatolkin
Proceedings of the 2nd Workshop Audiosignal- und Sprachverarbeitung (WASP) at INFORMATIK 2013, pp. 3012-3025, Koblenz, Germany

A Comparison of Playlist Generation Strategies for Music Recommendation and a New Baseline Scheme
G. Bonnin and D. Jannach
Accepted for AAAI 2013 Workshop on Intelligent Techniques For Web Personalization and Recommender Systems (ITWP 2013), pp. 16-23, Bellevue, USA

Audio Signal Classification in Reverberant Environments Based on Fuzzy-Clustered Ad-hoc Microphone Arrays
S. Gergen, A. Nagathil and R. Martin
Proceedings of the International Conference on Acoustics, Speech, and Signal Processing (ICASSP), pp. 3692-3696, Vancouver, Canada

Performance of Specific vs. Generic Feature Sets in Polyphonic Music Instrument Recognition
I. Vatolkin, A. Nagathil, W. Theimer and R. Martin
Proceedings of the 7th International Conference on Evolutionary Multi-Criterion Optimization (EMO), pp. 587-599, Sheffield, UK

2012

Multi-Objective Evolutionary Feature Selection for Instrument Recognition in Polyphonic Audio Mixtures
I. Vatolkin, M. Preuß, G. Rudolph, M. Eichhoff and C. Weihs
Soft Computing – A Fusion of Foundations, Methodologies and Applications, 16(12):2027-2047

Music and Timbre Segmentation by Recursive Constrained K-means Clustering
S. Krey, U. Ligges and F. Leisch
Computational Statistics, published online

Tone Onset Detection Using an Auditory Model
N. Bauer, K. Friedrichs, J. Schiffner and C. Weihs
Accepted for Proceedings of the 36th Annual Conference of the German Classification Society (GfKl), Hildesheim, Germany

Detection of Musical Instruments in Intervals and Chords
M. Eichhoff and C. Weihs
Accepted for Proceedings of the 36th Annual Conference of the German Classification Society (GfKl), Hildesheim, Germany

Statistical Comparison of Classifiers for Multi-Objective Feature Selection in Instrument Recognition
I. Vatolkin, B. Bischl, G. Rudolph and C. Weihs
Accepted for Proceedings of the 36th Annual Conference of the German Classification Society (GfKl), Hildesheim, Germany

Music Genre Prediction by Low-Level and High-Level Characteristics
I. Vatolkin, G. Rötter and C. Weihs
Accepted for Proceedings of the 36th Annual Conference of the German Classification Society (GfKl), Hildesheim, Germany

Training Set Reduction Based on 2-Gram Feature Statistics for Music Genre Recognition
I. Vatolkin, M. Preuss and G. Rudolph
Proceedings of the 2012 Workshop on Knowledge Discovery, Data Mining and Machine Learning (KDML), Dortmund, Germany

BeatTheBeat: Music-Based Procedural Content Generation In a Mobile Game
A. Jordan, D. Scheftelowitsch, J. Lahni, J. Hartwecker, M. Kuchem, M. Walter-Huber, N. Vortmeier, T. Delbruegger, Ü. Güler, I. Vatolkin and M. Preuss
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games (CIG), pp. 320-327, Granada, Spain

2011

Towards an Automated Dynamic Organization of Huge Music Archives on Mobile Devices
H. Blume, B. Bischl, M. Botteck, C. Igel, R. Martin, G. Rötter, G. Rudolph, W. Theimer, I. Vatolkin and C. Weihs
IEEE Signal Processing Magazine, 28(4), July 2011

Comparison of Classical and Sequential Design of Experiments in Note Onset Detection
N. Bauer, J. Schiffner and C. Weihs
Accepted for Proceedings of the 35th Annual Conference of the German Classification Society (GfKl), Frankfurt, Germany

A Case Study about the Effort to Classify Music Intervals by Chroma and Spectrum Analysis
V. Mattern, I. Vatolkin and G. Rudolph
Accepted for Proceedings of the 35th Annual Conference of the German Classification Society (GfKl), Frankfurt, Germany

Computational Prediction of High-Level Descriptors of Music Personal Categories
G. Rötter, I. Vatolkin and C. Weihs
Accepted for Proceedings of the 35th Annual Conference of the German Classification Society (GfKl), Frankfurt, Germany

High Performance Hardware Architectures for Automated Music Classification
I. Schmädecke and H. Blume
Accepted for Proceedings of the 35th Annual Conference of the German Classification Society (GfKl), Frankfurt, Germany

Regression-Based Tempo Recognition from Chroma and Energy Accents for Slow Audio Recordings
T. Deinert, I. Vatolkin and G. Rudolph
Proceedings of the AES 42nd International Conference on Semantic Audio (AES), pp. 60-68, Ilmenau, Germany

Multi-Objective Feature Selection in Music Genre and Style Recognition Tasks
I. Vatolkin, M. Preuß and G. Rudolph
Proceedings of the 2011 Genetic and Evolutionary Computation Conference (GECCO), Dublin, Ireland

GPU-based Acoustic Feature Extraction for Electronic Media Processing
I. Schmädecke, J. Mörschbach and H. Blume
Proceedings of the 14th ITG Conference on Electronic Media Technology, Dortmund, Germany

Feature Clustering for Instrument Classification
U. Ligges and S. Krey
Computational Statistics 26 (2), 279-291

2010

AMUSE (Advanced MUSic Explorer) – A Multitool Framework for Music Data Analysis
I. Vatolkin, W. Theimer and M.Botteck
Proceedings of the 11th International Society for Music Information Retrieval Conference (ISMIR), pp. 33-38, Utrecht, Netherlands

Software in Music Information Retrieval (MIR)
C. Weihs, K. Friedrichs, M. Eichhoff and I. Vatolkin
Proceedings of the 34th Annual Conference of the German Classification Society (GfKl), pp. 421-432, Karlsruhe, Germany

Partition Based Feature Processing for Improved Music Classification
I. Vatolkin, W. Theimer and M. Botteck
Proceedings of the 34th Annual Conference of the German Classification Society (GfKl), pp. 411-419, Karlsruhe, Germany

Multi-Objective Evaluation of Music Classification
I. Vatolkin
Proceedings of the 34th Annual Conference of the German Classification Society (GfKl), pp. 401-410, Karlsruhe, Germany

Musical Instrument Recognition by High-Level Features
M. Eichhoff and C. Weihs
Proceedings of the 34th Annual Conference of the German Classification Society (GfKl), pp. 373-381, Karlsruhe, Germany

SVM based Instrument and Timbre Classification
S. Krey and U. Ligges
Classification as a Tool for Research. Proceedings of the 11th IFCS Biennial Conference and 33rd Annual Conference of the Gesellschaft für Klassifikation e.V., pp. 759-766, Dresden, Germany, Springer-Verlag, Berlin

2009

Design and Comparison of Different Evolution Strategies for Feature Selection and Consolidation in Music Classification
I. Vatolkin, W. Theimer and G. Rudolph
Proceedings of the 2009 IEEE Congress on Evolutionary Computation (CEC), pp. 174-181, Trondheim, Norway

2008

Definitions of Audio Features for Music Content Description
W. Theimer, I. Vatolkin and A. Eronen
Technical Report TR08-2-001, Chair of Algorithm Engineering, University of Dortmund

2007

Classification in Music Research
C. Weihs, U. Ligges, F. Mörchen and D. Müllensiefen
Advances in Data Analysis and Classification 1 (3), 255-29span style=”color: #0000ff;”

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