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, 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.

Tianyi Zhang, Abdallah El Ali, Chen Wang, Alan Hanjalic, Pablo Cesar (2020), Corrnet: Fine-grained emotion recognition for video watching using wearable physiological sensors, In Sensors (Switzerland) Volume 21 p.1-25.

Tianyi Zhang, Abdallah El Ali, Chen Wang, Alan Hanjalic, Pablo Cesar (2020), RCEA: Real-time, Continuous Emotion Annotation for Collecting Precise Mobile Video Ground Truth Labels, In CHI 2020 - Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, ACM.

Xing Xu, Tan Wang, Yang Yang, Alan Hanjalic, Heng Tao Shen (2020), Radial Graph Convolutional Network for Visual Question Generation, In IEEE Transactions on Neural Networks and Learning Systems Volume 32 (2021) p.1654 - 1667.

Xinsheng Wang, Tingting Qiao, Jihua Zhu, Alan Hanjalic, Odette Scharenborg (2020), S2IGAN: Speech-to-Image Generation via Adversarial Learning, In Proceedings of Interspeech 2020 p.2292 - 2296, ISCA.

Xiuxiu Zhan, Alan Hanjalic, Huijuan Wang (2020), Suppressing Information Diffusion via Link Blocking in Temporal Networks, Hocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro, Luis Mateus Rocha (Eds.), In Complex Networks and Their Applications VIII Volume 1 p.448-458, Springer.

Jingkuan Song, Tao He, Lianli Gao, Xing Xu, Alan Hanjalic, Heng Tao Shen (2020), Unified Binary Generative Adversarial Network for Image Retrieval and Compression, In International Journal of Computer Vision Volume 128 p.2243-2264.

Julián Urbano, Harlley De Lima, Alan Hanjalic (2019), A New Perspective on Score Standardization, In SIGIR'19 Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval p.1061-1064 , ACM DL.

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.