Annemarie M.F. Hiemstra, Tatjana Cassel, Marise Ph Born, Cynthia C.S. Liem (2020), De (On)mogelijkheden van machine learning voor het verminderen van bias en discriminatie bij personeelsbeslissingen, In Gedrag en Organisatie Volume 33 p.279-299.

I.P. Samiotis, S. Qiu, A. Mauri, C.C.S. Liem, C. Lofi, A. Bozzon (2020), Microtask crowdsourcing for music score Transcriptions: an experiment with error detection, In Proceedings of the 21st International Society for Music Information Retrieval Conference.

Hugo Jair Escalante, Heysem Kaya, Albert Ali Salah, Sergio Escalera, Yağmur Güç;lütürk, Umut Güçlü, Xavier Baro, Achmadnoer Sukma Wicaksana, Cynthia C.S. Liem, More Authors (2020), Modeling, Recognizing, and Explaining Apparent Personality from Videos, In IEEE Transactions on Affective Computing Volume 13 p.894-911.

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, 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, Andrew M. Demetriou, Sandy Manolios, M. Stella Tavella, Cynthia C.S. Liem (2020), “Butter lyrics over hominy grit”^†: Comparing audio and psychology-based text features in MIR tasks, Julie Cumming, Jin Ha Lee, Brian McFee, Markus Schedl, Johanna Devaney, Johanna Devaney, Cory McKay, Eva Zangerle, Timothy de Reuse (Eds.), In Proceedings of the 21st International Society for Music Information Retrieval Conference, ISMIR 2020 p.150-156, International Society for Music Information Retrieval (ISMIR).

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, ACM.