Jaehun Kim, Stjepan Picek, Annelie Heuser, Shivam Bhasin, Alan Hanjalic (2025), Still Making Noise: Improving Deep-Learning-Based Side-Channel Analysis, In IEEE Design and Test Volume 42 p.20-27.

Shilun Zhang, Alan Hanjalic, Huijuan Wang (2024), Predicting nodal influence via local iterative metrics, In Scientific Reports Volume 14.

Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata (2024), Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 14555 LNCS p.v.

Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata (2024), Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 14554 LNCS.

Stevan Rudinac, Alan Hanjalic, Cynthia Liem, Marcel Worring, Björn Þór Jónsson, Bei Liu, Yoko Yamakata (2024), Preface, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Volume 14556 LNCS.

Roger Zhe Li, Julián Urbano, Alan Hanjalic (2023), Mitigating Mainstream Bias in Recommendation via Cost-sensitive Learning, In ICTIR 2023 - Proceedings of the 2023 ACM SIGIR International Conference on the Theory of Information Retrieval p.135-142, ACM.

Tianyi Zhang, Abdallah El Ali, Chen Wang, Alan Hanjalic, Pablo Cesar (2023), Weakly-supervised Learning for Fine-grained Emotion Recognition using Physiological Signals, In IEEE Transactions on Affective Computing Volume 14 p.2304-2322.

Tianyi Zhang, Abdallah El Ali, Alan Hanjalic, Pablo Cesar (2022), Few-shot Learning for Fine-grained Emotion Recognition using Physiological Signals, In IEEE Transactions on Multimedia Volume 25 p.3773-3787.

Jian Zhang, Alan Hanjalic, Ramesh Jain, Xiansheng Hua, Shin'ichi Satoh, Yazhou Yao, Dan Zeng (2022), Guest Editorial Learning From Noisy Multimedia Data, In IEEE Transactions on Multimedia p.1247-1252.

Omar F. Robledo, Xiu Xiu Zhan, Alan Hanjalic, Huijuan Wang (2022), Influence of clustering coefficient on network embedding in link prediction, In Applied Network Science Volume 7.