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.org.

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).

Matthijs Rijlaarsdam, Sebastiaan Scholten, Cynthia C.S. Liem (2019), Towards creating a non-synthetic group recommendation dataset, Oren Sar Shalom, Dietmar Jannach, Ido Guy (Eds.), In ImpactRS 2019 Impact of Recommender Systems 2019 p.1-5, CEUR-WS.org.

Karthik Yadati, Martha Larson, Cynthia C.S. Liem, Alan Hanjalic (2018), Detecting Socially Significant Music Events using Temporally Noisy Labels, In IEEE Transactions on Multimedia Volume 20 p.2526-2540.

Cynthia C.S. Liem (2018), Music in newspapers: Interdisciplinary opportunities and data-related challenges, In DLfM '18 Proceedings of the 5th International Conference on Digital Libraries for Musicology p.47-51, Association for Computing Machinery (ACM).

Vicky Charisi, Cynthia C.S. Liem, Emilia Gómez (2018), Novelty-based cognitive processes in unstructured music-making settings in early childhood, In 2018 Joint IEEE 8th International Conference on Development and Learning and Epigenetic Robotics (ICDL-EpiRob) p.218-223, IEEE .

Cynthia C.S. Liem, Markus Langer, Andrew Demetriou, Annemarie M.F. Hiemstra, Sukma Achmadnoer Sukma Wicaksana, Marise Ph. Born, Cornelis J. König (2018), Psychology Meets Machine Learning: Interdisciplinary Perspectives on Algorithmic Job Candidate Screening, H. Jair Escalante, S. Escalera, I. Guyon, X. Baró, Y Güçlütürk (Eds.), In Explainable and Interpretable Models in Computer Vision and Machine Learning p.197-253, Springer.

Jaehun Kim, Minz Won, Cynthia C.S. Liem, Alan Hanjalic (2018), Towards Seed-Free Music Playlist Generation: Enhancing collaborative Filtering with Playlist Title Information, In RecSys Challenge '18 p.1-6, Association for Computing Machinery (ACM).

Jaehun Kim, Minz Won, Xavier Serra, Cynthia C. S. Liem (2018), Transfer Learning of Artist Group Factors to Musical Genre Classification, In WWW'18 Companion Proceedings of the The Web Conference 2018 p.1929-1934, International World Wide Web Conferences Steering Committee.