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 25, 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)