All Stories

  1. TROMPA-MER: an open dataset for personalized music emotion recognition

    Article • Journal of Intelligent Information Systems, September 2022, Springer Science + Business Media

    Lorenzo Porcaro

  2. Measuring and fostering diversity in Affective Computing research

    Article • July 2022, Institute of Electrical & Electronics Engineers (IEEE)

    Lorenzo Porcaro

  3. Fair ranking: a critical review, challenges, and future directions

    Article • June 2022, ACM (Association for Computing Machinery)

    Lorenzo Porcaro, Meike Zehlike

  4. Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics

    Article • Proceedings of the ACM on Human-Computer Interaction, March 2022, ACM (Association for Computing Machinery)

    Lorenzo Porcaro

  5. Diversity in the Music Listening Experience: Insights from Focus Group Interviews

    Article • March 2022, ACM (Association for Computing Machinery)

    Lorenzo Porcaro

  6. How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research

    Article • September 2021, Institute of Electrical & Electronics Engineers (IEEE)

    Lorenzo Porcaro

  7. Diversity by Design in Music Recommender Systems

    Article • Transactions of the International Society for Music Information Retrieval, January 2021, Ubiquity Press, Ltd.

    Lorenzo Porcaro

  8. Emotion Annotation of Music: A Citizen Science Approach

    Article • January 2021, Springer Science + Business Media

    Lorenzo Porcaro

  9. Recognizing Musical Entities in User-generated Content

    Article • Computación y Sistemas, October 2019, Instituto Politecnico Nacional/Centro de Investigacion en Computacion

    Lorenzo Porcaro