| 2026 | CHI | Surfacing Problematic Recommender System Behaviors Affecting Music Discoverability: A Think-Aloud Protocol. | Lorenzo Porcaro, Valeria Mirabella, Emilia Gmez, Tiziana Catarci |
| 2025 | RecSys | MuRS: 3rd Music Recommender Systems Workshop. | Andres Ferraro, Lorenzo Porcaro, Christine Bauer |
| 2025 | RecSys | Data Access for Recommender Systems Research: leveraging the EU's Digital Services Act. | Joo Vinagre, Lorenzo Porcaro, Silvia Merisio, Erasmo Purificato, Emilia Gmez |
| 2024 | RecSys | MuRS 2024: 2nd Music Recommender Systems Workshop. | Andres Ferraro, Lorenzo Porcaro, Peter Knees, Christine Bauer |
| 2022 | CHIIR | Diversity in the Music Listening Experience: Insights from Focus Group Interviews. | Lorenzo Porcaro, Emilia Gmez, Carlos Castillo |
| 2021 | ACII | How diverse is the ACII community? Analysing gender, geographical and business diversity of Affective Computing research. | Isabelle Hupont, Songl Tolan, Ana Freire, Lorenzo Porcaro, Sara Estevez, Emilia Gmez |
| 2020 | RecSys | Exploring Artist Gender Bias in Music Recommendation. | Dougal Shakespeare, Lorenzo Porcaro, Emilia Gmez, Carlos Castillo |
| 2019 | RecSys | A Model for Evaluating Popularity and Semantic Information Variations in Radio Listening Sessions. | Lorenzo Porcaro, Emilia Gmez |