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2024 (2)

Hupont I.; Tolan S.; Frau P.; Porcaro L.; Gomez E.. Measuring and fostering diversity in Affective Computing research. IEEE Transactions on Affective Computing 2024; 1-16.

Sala A, Porcaro L, Gomez E. Social Media Use and adolescents' mental health and well-being: An umbrella review. Computers in Human Behavior Reports 2024; 14(0).

2023 (1)

Porcaro L, Castillo C, Gomez E, Vinagre J. Fairness and Diversity in Information Access Systems. CEUR Workshop Proceedings 2023; 3442: 1-4.

2022 (3)

Patro G.K.; Porcaro L.; Mitchell L.; Zhang Q.; Zehlike M.; Garg N.. Fair ranking: a critical review, challenges, and future directions. In: -. -. -; 2022. p. 1929-1942.

Porcaro L.; Gomez E.; Castillo C.. Perceptions of Diversity in Electronic Music: the Impact of Listener, Artist, and Track Characteristics. Proceedings of the ACM on Human-Computer Interaction 2022; 6(109): 1-26.

Porcaro L.; Gomez E.; Castillo C.. Diversity in the music listening experience: insights from focus group interviews. In: AA. VV.. CHIIR '22: ACM SIGIR Conference on Human Information Interaction and Retrieval;. Regensburg: ACM; 2022. p. 272-276.

2021 (5)

Porcaro L, Castillo C, Gomez E. Diversity by design in music recommender systems. Transactions of the International Society for Music Information Retrieval. Transactions of the International Society for Music Information Retrieval 2021; 4(1): 114-126.

Gutierrez Paez NF, Gomez-Cañon JS, Porcaro L, Santos P, Hernandez-Leo D, Gomez E. Emotion Annotation of Music: A Citizen Science Approach. Lecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science) 2021; 12856 LNCS(0): 51-66.

Hupont I, Tolan S, Freire A, Porcaro L, Estevez S, Gómez E. How diverse is the ACII community? Analysing gender, geographical and business diversity of affective computing research. International Conference on Affective Computing and Intelligent Interaction 2021; 1-8.

Hupont I, Tolan S, Freire A, Porcaro L, Estevez S, Gomez E. How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research. In: International Conference on Affective Computing and Intelligent Interaction (Autor) y Institute of Electrical and Electronics Engineers. 2021 9th International Conference on Affective Computing and Intelligent Interaction (ACII). IEEE; 2021.

Gutiérrez Páez NF, Gómez-Cañón JS, Porcaro L, Santos P, Hernández-Leo D, Gómez E. Emotion annotation of music: a citizen science approach. In: Hernández-Leo D, Hishiyama R, Zurita G, Weyers B, Nolte A, Ogata H. Collaboration Technologies and Social Computing. Proceedings of the 27th International Conference, CollabTech 2021. Cham: Springer; 2021. p. 51-66.

2020 (1)

Shakespeare D, Porcaro L, Gómez E, Castillo C. Exploring Artist Gender Bias in Music Recommendation. CEUR Workshop Proceedings 2020; 2697: 1-9.

2019 (7)

Porcaro L.; Saggion H.. Recognizing musical entities in user-generated content. Computacion y Sistemas 2019; 23(3): 1079-1088.

Porcaro L, Gómez E. 20 years of playlists: A statistical analysis on popularity and diversity. In: -. 20th Annual Conference of the International Society for Music Information Retrieval (ISMIR). Delft: ISMIR; 2019. p. 130-136.

Porcaro L, Gomez E. 20 years of playlists: A statistical analysis on popularity and diversity. In: -. 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019). Society for Music Information Retrieval (ISMIR 2019); 2019. p. 130-136.

Porcaro L, Saggion H. Recognizing Musical Entities in User-generated Content. In: -. International Conference on Computational Linguistics and Intelligent Text Processing (CICLing) 2019. 2019.

Porcaro L, Castillo C, Gómez E. Music Recommendation Diversity: A Tentative Framework and Preliminary Results. In: -. Music Recommendation Diversity:A Tentative Framework and Preliminary Results. 1st Workshop on Designing Human-Centric MIR Systems (wsHCMIR19), co-located at 20th Conference of the International Society for Music Information Retrieval (ISMIR 2019); 2019. p. 11-15.

Porcaro L, Gómez E. A Model for evaluating popularity and semantic information variations in radio listening sessions. In: Sar Shalom O, Jannach D, Guy I (eds.). Proceedings of the 1st Workshop on the Impact of Recommender Systems co-located with 13th ACM Conference on Recommender Systems AAchen: CEUR Workshop Proceedings; 2019.