[apologies for multiple postings]
        
CALL FOR PAPERS
        
MOTIVATION
          Machine learning and artificial intelligence have permeated
          nearly every area of music informatics, driven by a profusion
          of recordings available in digital audio formats, steady
          improvements to the accessibility and quality of symbolic
          corpora, availability of powerful algorithms in standard
          machine learning toolboxes, and theoretical advances in
          machine learning and data mining. As the complexity of the
          problems investigated by researchers on machine learning and
          music increases, there is a need to develop new algorithms and
          methods. As a consequence, research on machine learning and
          music is an active and growing field reflected in
          international meetings such as the International Workshops on
          Machine Learning and Music (MML): 2008 (ICML, Helsinki,
          Finland), 2009 (ECML, Bled, Slovenia), 2010 (ACM-MM, Florence,
          Italy), 2011 (NIPS, Sierra Nevada, Spain), 2012 (ICML,
          Edinburgh, Scotland), 2013 (ECML/PKDD, Prague, Czech
          Republic), 2014 (Barcelona, Spain), 2015 (ISEA, Vancouver,
          Canada), 2016 (ECML/PKDD, Riva del Garda, Italy), 2017
          (Barcelona, Spain), 2018 (ICML, Stockholm, Sweden), 2019
          (ECML, Würzburg, Germany), 2020 (ECML-PKDD, virtual), and 2021
          (Barcelona and online)..
        
TOPICS
          Papers in all applications on music and machine learning are
          welcome, including but not limited to generative music
          systems, intelligent music learning systems, machine learning
          applications to music learning, automatic classification of
          music (audio and MIDI), style-based interpreter recognition,
          automatic composition and improvisation, music recommender
          systems, genre and tag prediction, score alignment, polyphonic
          pitch detection, chord extraction, pattern discovery, music
          analysis, beat tracking, expressive performance modeling, deep
          learning for music processing.
Audio demonstrations are encouraged when indicated by the
          content of the paper.
          
          IMPORTANT DATES
          Paper Submission Deadline: June 15, 2024
          Acceptance Notification: July 15, 2024
          Early Registration Deadline: July 26, 2024
          Workshop Date: September 9, 2024
          
          SUBMISSIONS OF PAPERS
          Papers of 6 printed pages (including references) in LNCS
          format are welcome. Submissions will be evaluated according to
          their originality and relevance to the workshop, and should
          include author names, affiliations, contact information, and
          an abstract of 60-100 words. Contributions should be in PDF
          format and submitted via the ECML-PKDD submission system. LNCS
          format details can be found here.
          
          REGISTRATION
          Registration to the Workshop will be handled by ECML/PKDD
          2024. Please note that at least one author of each accepted
          paper should register for the conference.
          
          PROCEEDINGS
          Accepted papers will be published by Springer Verlag under
          their Communications in Computer and Information Science
          (CCIS) series.
          
          ORGANISERS
          Rafael Ramirez, Universitat Pompeu Fabra, Spain (rafael.ramirez@xxxxxxx)
          Darrell Conklin, University of the Basque Country, Spain (darrell.conklin@xxxxxxx)
          José Manuel Iñesta, University of Alicante, Spain (inesta@xxxxxxxxxx)
PROGRAMME
            COMMITTEE
          David
            Meredith (Aalborg University)
          David
            Rizo (Alicante School of Arts)
          Darrell
            Conklin (Universidad del Pais Vasco)
          Dorien
            Herremans (Singapore University of Technology and Design)
          Ichiro
            Fujinaga (McGill University)
          Jan
            Hajic jr (Charles University)
          Jorge
            Calvo-Zaragoza (University of Alicante)
          Jose
            Manuel Iñesta (University of Alicante) 
          Kjel
            Lemstrom (University of Helsinki)
          Lonce
            Wyse (Universitat Pompeu Fabra) 
          Maarten
            Grachten (independent Consultant)
          Peter
            Harrison (University of Cambridge)
          Peter
            van Kranenburg (Utrecht University)
          Rafael
            Ramirez (Universitat Pompeu Fabra)
          Raquel
            Lucena (Universitat Pompeu Fabra)