Huy Son Nguyen, M. Mansoury, A. Hanjalic (2025), A Reproducibility Study of Product-side Fairness in Bundle Recommendation, Maria Bielikova (Eds.), In RecSys2025 - Proceedings of the 19th ACM Conference on Recommender Systems p. 696 - 705, Association for Computing Machinery (ACM).

Tianrui Mao, Shilun Zhang, Alan Hanjalic, Huijuan Wang (2025), Estimating nodal spreading influence using partial temporal networks, In Chaos, Solitons and Fractals Volume 201.

Hao Fei, Wei Ji, Yinwei Wei, Zhedong Zheng, Jialie Shen, Alan Hanjalic, Roger Zimmermann (2025), Introduction to the Special Issue on Deep Multimodal Generation and Retrieval, ACM Transactions on Multimedia Computing, Communications and Applications Volume 21.

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, Association for Computing Machinery (ACM).

T. Zhao, Ngan Thi Dong, A. Hanjalic, M. Khosla (2023), Multi-label Node Classification On Graph-Structured Data, In Transactions on Machine Learning Research.