Publications

2022

¬  Patro, G.K., Porcaro, L., Mitchell, L., Zhang, Q., Zehlike, M., Garg, N. (2022). Fair ranking: a critical review, challenges, and future directions. In FAccT ’22: ACM Conference on Fairness, Accountability, and Transparency, June 21–24, Seul, Korea, https://doi.org/10.1145/3531146.3533238

¬ Hupont, I., Gómez, E., Tolan, S., Porcaro, L., &  Freire, A. (2022). Monitoring Diversity of AI Conferences: Lessons Learnt and Future Challenges in the DivinAI Project. AAAI 2022 Workshop on Artificial Intelligence Diversity, Belonging, Equity, and Inclusion (AIDBEI). Online, 1st March (arXiv)

¬ Porcaro, L., Gomez, E., & Castillo, C. (2022). Diversity in the Music Listening Experience: Insights from Focus Group Interviews. In CHIIR ’22: ACM SIGIR Conference on Human Information Interaction and Retrieval, March 14–18, 2022, Regensburg, Bavaria  https://doi.org/10.1145/3498366.3505778

¬ Porcaro, L., Gomez, E., & Castillo, C. (2022). Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics. Proc. ACM Hum.-Comput. Interact. 6, CSCW1, Article 109 (April 2022), 26 pages. https://doi.org/10.1145/3512956

2021

¬ Porcaro, L., Castillo, C. & Gomez, E. (2021). Diversity by Design in Music Recommender Systems. Transactions of the International Society for Music Information Retrieval (TISMIR). http://doi.org/10.5334/tismir.106

¬ Freire, A., Porcaro, L., and Gómez, E. (2021) Measuring Diversity of Artificial Intelligence Conferences. AAAI 2021 Workshop on Artificial Intelligence Diversity, Belonging, Equity, and Inclusion (AIDBEI). Virtual, 9th February (arXiv)

¬ Hupont, I., Tolan, S., Freire, A., Porcaro, L., Estevez, S., & Gómez, E. (2021). How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research. International Conference on Affective Computing & Intelligent Interaction (ACII 2021). Virtual, 28th September – 1st October,  http://doi.org/10.1109/ACII52823.2021.9597426

¬ Gómez-Cañón, J.S., Gutiérrez-Páez, N., Porcaro, L., Gkiokas, A., Herrera,P., Gómez, E. (2021). Improving emotion annotation of music using citizen science. 16th International Conference on Music Perception and Cognition (ICMPC-ESCOM2021)

¬ Gutiérrez Páez, N.F., Gómez-Cañón, J.S., Porcaro, L., Santos, P., Hernández-Leo, D., Gómez, E. (2021). Emotion Annotation of Music: A Citizen Science Approach. In: Hernández-Leo, D., Hishiyama, R., Zurita, G., Weyers, B., Nolte, A., Ogata, H. (eds) Collaboration Technologies and Social Computing. CollabTech 2021. Lecture Notes in Computer Science(), vol 12856. Springer, Cham. https://doi.org/10.1007/978-3-030-85071-5_4

2020

¬ Shakespeare, D., Porcaro, L., Gómez, E., and Castillo, C. . (2020) Exploring Artist Gender Bias in Music Recommendation. 2nd Workshop on the Impact of Recommender Systems (ImpactRS), co-located with the 14th ACM Conference on Recommender Systems (RecSys 2020). Virtual, 22nd-26th September (pdf).

¬ Ferraro, A., Porcaro, L., Serra, X. (2020). Balancing Exposure and Relevance in Academic Search. NIST Conference 2020 (pdf)

2019

¬ Porcaro, L., Gómez, E. (2019) 20 Years of Playlists: A Statistical Analysis on Popularity and Diversity. 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). TU Delft, Delft, 4th-8th November (pdf)

¬ Porcaro, L., Castillo, C., Gómez, E. (2019). Music Recommendation Diversity: A Tentative Framework and Preliminary Results. 1st Workshop on Designing Human-Centric MIR Systems (wsHCMIR19), co-located with the 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). TU Delft, Delft, 4th-8th November (pdf)

¬ Porcaro, L., Gómez, E.. (2019) A Model for Evaluating Popularity and Semantic Information Variations in Radio Listening Sessions. 1st Workshop on the Impact of Recommender Systems (ImpactRS), co-located with the 13th ACM Conference on Recommender Systems (RecSys 2019). Copenhagen, 16th-20th September (pdf)

¬ Porcaro, L., Saggion, H. (2019). Recognizing Musical Entities in User-generated Content. International Conference on Computational Linguistics and Intelligent Text Processing (CICLing) 2019, University of La Rochelle, La Rochelle, 7th-13th April (pdf)

2018

¬ Porcaro, L., (2018). Information Extraction from User-generated Content in the Classical Music Domain. Master thesis, Universitat Pompeu Fabra, Barcelona, Spain (pdf)

2015

¬ Porcaro, L., (2015). Modeling Lemur vocalizations from a signal processing perspective. Master thesis, Universitat Pompeu Fabra, Barcelona, Spain (pdf).