Shishir Subramanyam, Irene Viola, Jack Jansen, Evangelos Alexiou, Alan Hanjalic, Pablo Cesar (2022), Subjective QoE Evaluation of User-Centered Adaptive Streaming of Dynamic Point Clouds, In 2022 14th International Conference on Quality of Multimedia Experience, QoMEX 2022, Institute of Electrical and Electronics Engineers (IEEE).

Bishwadeep Das, Alan Hanjalic, Elvin Isufi (2022), Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs, In IEEE Transactions on Signal and Information Processing over Networks Volume 8 p.894-906.

Li Zou, Xiu xiu Zhan, Jie Sun, Alan Hanjalic, Huijuan Wang (2022), Temporal Network Prediction and Interpretation, In IEEE Transactions on Network Science and Engineering Volume 9 p.1215-1224.

Elvin Isufi, Matteo Pocchiari, Alan Hanjalic (2021), Accuracy-diversity trade-off in recommender systems via graph convolutions, In Information Processing and Management Volume 58 p.1-22.

Xing Xu, Yifan Wang, Yixuan He, Yang Yang, Alan Hanjalic, Heng Tao Shen (2021), Cross-modal hybrid feature fusion for image-sentence matching, In ACM Transactions on Multimedia Computing, Communications and Applications Volume 17.

Xinsheng Wang, Tingting Qiao, Jihua Zhu, Alan Hanjalic, Odette Scharenborg (2021), Generating Images from Spoken Descriptions, In IEEE/ACM Transactions on Audio Speech and Language Processing Volume 29 p.850-865.

Julián Urbano, Matteo Corsi, Alan Hanjalic (2021), How do Metric Score Distributions affect the Type i Error Rate of Statistical Significance Tests in Information Retrieval?, In ICTIR 2021 p.245-250, Association for Computing Machinery (ACM).

Roger Zhe Li, Julián Urbano, A. Hanjalic (2021), Leave No User Behind: Towards Improving the Utility of Recommender Systems for Non-mainstream Users, In WSDM 2021 - Proceedings of the 14th ACM International Conference on Web Search and Data Mining p.103-111, Association for Computing Machinery (ACM).

Roger Zhe Li, Julián Urbano, Alan Hanjalic (2021), New Insights into Metric Optimization for Ranking-based Recommendation, In SIGIR 2021 - Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval p.932-941, Association for Computing Machinery (ACM).

Manel Slokom, Alan Hanjalic, Martha Larson (2021), Towards user-oriented privacy for recommender system data: A personalization-based approach to gender obfuscation for user profiles, In Information Processing and Management Volume 58 p.1-24.