Cynthia C. S. Liem, Annibale Panichella (2020), Oracle Issues in Machine Learning and Where to Find Them, In Proceedings of the 8th International Workshop on Realizing Artificial Intelligence Synergies in Software Engineering (RAISE) p.483-488.

David M. Weigl, Werner Goebl, Alex Hofmann, Tim Crawford, Federico Zubani, Cynthia C.S. Liem, Alastair Porter (2020), Read/write digital libraries for musicology, In Proceedings of the 7th International Conference on Digital Libraries for Musicology, DLfM 2020 - A satellite event of ISMIR 2020 p.48-52, Association for Computing Machinery (ACM).

Cornelius J. König, Andrew M. Demetriou, Philipp Glock, Annemarie M. F. Hiemstra, Dragos Iliescu, Camelia Ionescu, Markus Langer, Cynthia C. S. Liem, Anja Linnenbürger, More Authors (2020), Some Advice for Psychologists Who Want to Work With Computer Scientists on Big Data, In Personnel Assessment and Decisions Volume 6.

Jaehun Kim, Julián Urbano, Cynthia C.S. Liem, Alan Hanjalic (2019), Are Nearby Neighbors Relatives?: Testing Deep Music Embeddings, In Frontiers in Applied Mathematics an Statistics Volume 5 p.1-17.

Zhiyao Duan, Slim Essid, Cynthia C.S. Liem, Gael Richard (2019), Audiovisual Analysis of Music Performances: Overview of an Emerging Field, In IEEE Signal Processing Magazine Volume 36 p.63-73.

Jaehun Kim, Sandy Manolios, Andrew Demetriou, Cynthia Liem (2019), Beyond Explicit Reports: Comparing Data-Driven Approaches to Studying Underlying Dimensions of Music Preference, In ACM UMAP 2019 - Proceedings of the 27th ACM Conference on User Modeling, Adaptation and Personalization p.285-293, Association for Computing Machinery (ACM).

David M. Weigl, Werner Goebl, Tim Crawford, Aggelos Gkiokas, Nicolas F. Gutierrez, Alastair Porter, Patricia Santos, Casper Karreman, Ingmar Vroomen, Cynthia C.S. Liem, Álvaro Sarasúa, Marcel Van Tilburg (2019), Interweaving and enriching digital music collections for scholarship, performance, and enjoyment, In Proceedings of DLfM 2019 p.84-88, Association for Computing Machinery (ACM).

Jaehun Kim, Julián Urbano, Cynthia C.S. Liem, Alan Hanjalic (2019), One deep music representation to rule them all? A comparative analysis of different representation learning strategies, In Neural Computing and Applications Volume 32 (2020) p.1067-1093.

Hiba Abderrazik, Giovan Angela, Hans Brouwer, Henky Janse, Sterre Lutz, Gwennan Smitskamp, Sandy Manolios, Cynthia C.S. Liem (2019), Spotivibes: Tagging playlist vibes with colors, Peter Brusilovsky, Marco de Gemmis, Alexander Felfernig , Pasquale Lops, John O’Donovan, Giovanni Semeraro , Martijn C. Willemsen (Eds.), In IntRS 2019 Interfaces and Human Decision Making for Recommender Systems 2019 p.55-59, CEUR-WS.

Sandy Manolios, Alan Hanjalic, Cynthia C.S. Liem (2019), The influence of personal values on music taste: Towards value-based music recommendations, In RecSys 2019 - 13th ACM Conference on Recommender Systems p.501-505, Association for Computing Machinery (ACM).