Maarten Grachten

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	All	Since 2016
Citations	1133	573
h-index	19	13
i10-index	37	20

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Co-authors

Gerhard WidmerProfessor of Computer Science, Johannes Kepler University LinzVerified email at jku.at
Josep LLuis ArcosResearch Scientist, Artificial Intelligence Research Institute (IIIA-CSIC)Verified email at iiia.csic.es
Carlos Eduardo Cancino-ChacónJohannes Kepler University LinzVerified email at jku.at
Ramon Lopez de MantarasResearch Professor, Artificial Intelligence Research Institute, IIIA-CSIC, BarcelonaVerified email at iiia.csic.es
Stefan LattnerSony CSL, ParisVerified email at stefanlattner.at
Werner GoeblDepartment of Music Acoustics, University of Music and Performing Arts ViennaVerified email at mdw.ac.at
Andreas ArztJohannes Kepler UniversityVerified email at jku.at
Marc LemanProfessor in musicology, Ghent UniversityVerified email at UGent.be
Kat AgresNational University of SingaporeVerified email at nus.edu.sg
Xavier SerraDepartment of Information and Communication Technologies, Universitat Pompeu Fabra (UPF), BarcelonaVerified email at upf.edu
Hendrik PurwinsAI Lead, Accenture, Emerging Technologies, Germany, Switzerland, Austria & RussiaVerified email at accenture.com
Perfecto Herrera BoyerMusic Technology Group, Universitat Pompeu FabraVerified email at upf.edu
Ricard MarxerUniversité de ToulonVerified email at univ-tln.fr
Emilia GómezJoint Research Centre, European Commission and Music Technology Group, Universitat Pompeu FabraVerified email at upf.edu
Markus SchedlProfessor at Johannes Kepler University Linz, Institute of Computational PerceptionVerified email at jku.at
David MeredithAssociate Professor, Aalborg UniversityVerified email at create.aau.dk
Gissel VelardeResearcherVerified email at gvelarde.com
Tillman WeydeSenior Lecturer in Computer Science, City University LondonVerified email at city.ac.uk
Professor Dr.-Ing. Peter CzermakProfessor of Bioprocess/Biochemical Engineering, University of Applied Sciences MittelhessenVerified email at lse.thm.de
Miguel Molina-SolanaMarie Curie (Athenea3i) Fellow, Universidad de GranadaVerified email at ugr.es

Maarten Grachten

Independent Machine Learning Consultant

Verified email at ofai.at - Homepage

Deep Learning Music Technology Signal Processing


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YQX plays Chopin G Widmer, S Flossmann, M Grachten AI magazine 30 (3), 35-35, 2009	63	2009
Melody retrieval using the implication/realization model M Grachten, JL Arcos Rosell, R López de Mántaras	57	2005
Imposing Higher-Level Structure in Polyphonic Music Generation Using Convolutional Restricted Boltzmann Machines and Constraints S Lattner, M Grachten, G Widmer Journal of Creative Music Systems 2 (2), 2018	55	2018
Melodic similarity: Looking for a good abstraction level M Grachten, JL Arcos, RL De Mántaras 5th International Conference on Music Information Retrieval, 2004	54	2004
Automatic alignment of music performances with structural differences M Grachten, M Gasser, A Arzt, G Widmer	48	2013
The Magaloff project: An interim report S Flossmann, W Goebl, M Grachten, B Niedermayer, G Widmer Journal of New Music Research 39 (4), 363-377, 2010	45	2010
Linear basis models for prediction and analysis of musical expression M Grachten, G Widmer Journal of New Music Research 41 (4), 311-322, 2012	41	2012
Computational models of music perception and cognition I: The perceptual and cognitive processing chain H Purwins, P Herrera, M Grachten, A Hazan, R Marxer, X Serra Physics of Life Reviews 5 (3), 151-168, 2008	39	2008
Expressive performance rendering: Introducing performance context S Flossmann, M Grachten, G Widmer Proceedings of the SMC, 155-160, 2009	35	2009
Melodic characterization of monophonic recordings for expressive tempo transformations E Gómez, M Grachten, X Amatriain, JL Arcos Proceedings of Stockholm Music Acoustics Conference 2003, 2003	30	2003
Computational models of music perception and cognition II: Domain-specific music processing H Purwins, M Grachten, P Herrera, A Hazan, R Marxer, X Serra Physics of Life Reviews 5 (3), 169-182, 2008	29	2008
A case based approach to expressivity-aware tempo transformation M Grachten, JL Arcos, RL De Mantaras Machine Learning 65 (2-3), 411-437, 2006	28	2006
The ISMIR Cloud: A Decade of ISMIR Conferences at Your Fingertips. M Grachten, M Schedl, T Pohle, G Widmer ISMIR, 63-68, 2009	26	2009
Toward e-motion-based music retrieval a study of affective gesture recognition D Amelynck, M Grachten, L Van Noorden, M Leman IEEE transactions on affective computing 3 (2), 250-259, 2011	25	2011
Phenicx: Performances as highly enriched and interactive concert experiences E Gómez, M Grachten, A Hanjalic, J Janer, S Jorda, CF Julia, C Liem, ... Open access, 2013	24	2013
Classical Music on the Web-User Interfaces and Data Representations. M Gasser, A Arzt, T Gadermaier, M Grachten, G Widmer ISMIR, 571-577, 2015	22	2015
Phase-plane representation and visualization of gestural structure in expressive timing M Grachten, W Goebl, S Flossmann, G Widmer Journal of New Music Research 38 (2), 183-195, 2009	21	2009
Artificial intelligence in the concertgebouw A Arzt, H Frostel, T Gadermaier, M Gasser, M Grachten, G Widmer Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015	20	2015
Predicting expressive dynamics in piano performances using neural networks S Van Herwaarden, M Grachten, WB De Haas Proceedings of the 15th Conference of the International Society for Music …, 2014	20	2014
An assessment of learned score features for modeling expressive dynamics in music M Grachten, F Krebs IEEE Transactions on Multimedia 16 (5), 1211-1218, 2014	19	2014

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