Andrew M. Demetriou

According to our database, Andrew M. Demetriou authored at least 13 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A quest through interconnected datasets: lessons from highly-cited ICASSP papers.

Cynthia C. S. Liem, Doga Tascilar, Andrew M. Demetriou

CoRR, 2024

Towards Estimating Personal Values in Song Lyrics.

Andrew M. Demetriou, Jaehun Kim, Sandy Manolios, Cynthia C. S. Liem

CoRR, 2024

Position Paper: Against Spurious Sparks - Dovelating Inflated AI Claims.

Patrick Altmeyer, Andrew M. Demetriou, Antony Bartlett, Cynthia C. S. Liem

CoRR, 2024

Position: Stop Making Unscientific AGI Performance Claims.

Patrick Altmeyer, Andrew M. Demetriou, Antony Bartlett, Cynthia C. S. Liem

Proceedings of the Forty-first International Conference on Machine Learning, 2024

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

Proceedings of the 3rd Workshop Perspectives on the Evaluation of Recommender Systems 2023 co-located with the 17th ACM Conference on Recommender Systems (RecSys 2023), 2023

Treat societally impactful scientific insights as open-source software artifacts.

Cynthia C. S. Liem, Andrew M. Demetriou

Proceedings of the 45th IEEE/ACM International Conference on Software Engineering: Software Engineering in Society, 2023

2021

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

2020

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

Proceedings of the 21th International Society for Music Information Retrieval Conference, 2020

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, Tristan Jehan, Bernhard Lehner, Anna M. Kruspe, Luwei Yang

IEEE Signal Process. Mag., 2019

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

Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization, 2019

2018

Vocals in Music Matter: the Relevance of Vocals in the Minds of Listeners.

Andrew M. Demetriou, Andreas Jansson, Aparna Kumar, Rachel M. Bittner

Proceedings of the 19th International Society for Music Information Retrieval Conference, 2018

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, Frank Hopfgartner, Davide Malagoli, Thuy Ngoc Nguyen, Jasminko Novak, Francesco Ricci, Mario Scriminaci, Marko Tkalcic, Anna Zacchi

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Go with the Flow: When Listeners Use Music as Technology.

Andrew M. Demetriou, Martha A. Larson, Cynthia C. S. Liem

Proceedings of the 17th International Society for Music Information Retrieval Conference, 2016