Go with the Flow: When Listeners Use Music as Technology. - Andrew M. Demetriou; Martha A. Larson; Cynthia C. S. Liem (ISMIR, 2016)

Algorithms Aside: Recommendation As The Lens Of Life. - Tamas Motajcsek; Jean-Yves Le Moine; Martha A. Larson; Daniel Kohlsdorf; Andreas Lommatzsch; Domonkos Tikk; Omar Alonso; Paolo Cremonesi; Andrew M. Demetriou; Kristaps Dobrajs; Franca Garzotto; Ayse Göker; et al. (RecSys, 2016)

Vocals in Music Matter: the Relevance of Vocals in the Minds of Listeners. - Andrew M. Demetriou; Andreas Jansson 001; Aparna Kumar; Rachel M. Bittner (ISMIR, 2018)

Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music Preference. - Jaehun Kim; Andrew M. Demetriou; Sandy Manolios; Cynthia C. S. Liem (UMAP, 2019)

An Introduction to Signal Processing for Singing-Voice Analysis: High Notes in the Effort to Automate the Understanding of Vocals in Music. - Eric J. Humphrey; Sravana Reddy; Prem Seetharaman; Aparna Kumar; Rachel M. Bittner; Andrew M. Demetriou; Sankalp Gulati; Andreas Jansson 001; Tristan Jehan; Bernhard Lehner; Anna M. Kruspe; Luwei Yang (IEEE Signal Process. Mag., 2019)

Butter Lyrics Over Hominy Grit: Comparing Audio and Psychology-Based Text Features in MIR Tasks. - Jaehun Kim; Andrew M. Demetriou; Sandy Manolios; Maria Stella Tavella; Cynthia C. S. Liem (ISMIR, 2020)

The MatchNMingle Dataset: A Novel Multi-Sensor Resource for the Analysis of Social Interactions and Group Dynamics In-the-Wild During Free-Standing Conversations and Speed Dates. - Laura Cabrera Quiros; Andrew M. Demetriou; Ekin Gedik; Leander van der Meij; Hayley Hung (IEEE Trans. Affect. Comput., 2021)

Treat societally impactful scientific insights as open-source software artifacts. - Cynthia C. S. Liem; Andrew M. Demetriou (ICSE (SEIS), 2023)

Annotation Practices in Societally Impactful Machine Learning Applications: What are Popular Recommender Systems Models Actually Trained On? - Andra-Georgiana Sav; Andrew M. Demetriou; Cynthia C. S. Liem (Perspectives@RecSys, 2023)

A Quest Through Interconnected Datasets: Lessons From Highly-Cited ICASSP Papers. - Cynthia C. S. Liem; Doga Tascilar; Andrew M. Demetriou (CBMI, 2024)

Position: Stop Making Unscientific AGI Performance Claims. - Patrick Altmeyer; Andrew M. Demetriou; Antony Bartlett; Cynthia C. S. Liem (ICML, 2024)

Towards Automated Personal Value Estimation in Song Lyrics. - Andrew M. Demetriou; Jaehun Kim; Sandy Manolios; Cynthia C. S. Liem (ISMIR, 2024)

Position Paper: Against Spurious Sparks - Dovelating Inflated AI Claims. - Patrick Altmeyer; Andrew M. Demetriou; Antony Bartlett; Cynthia C. S. Liem (CoRR, 2024)

Towards Estimating Personal Values in Song Lyrics. - Andrew M. Demetriou; Jaehun Kim; Sandy Manolios; Cynthia C. S. Liem (CoRR, 2024)