Shaad Alaka, Rafael Bidarra (2024), Mixed-initiative generation of virtual worlds: A comparative study on the cognitive load of WFC and HSWFC, Gillian Smith, Jim Whitehead, Ben Samuel, Katta Spiel, Riemer van Rozen (Eds.), In FDG '24, Association for Computing Machinery (ACM).

Ziyu Li, Hilco Van Der Wilk, Danning Zhan, Megha Khosla, Alessandro Bozzon, Rihan Hai (2024), Model Selection with Model Zoo via Graph Learning, In Proceedings - 2024 IEEE 40th International Conference on Data Engineering, ICDE 2024 p.1296-1309.

Peide Zhu, Zhen Wang, Manabu Okumura, Jie Yang (2024), MRHF: Multi-stage Retrieval and Hierarchical Fusion for Textbook Question Answering, Stevan Rudinac, Marcel Worring, Cynthia Liem, Alan Hanjalic, Björn Pór Jónsson, Yoko Yamakata, Bei Liu (Eds.), In MultiMedia Modeling - 30th International Conference, MMM 2024, Proceedings p.98-111, Springer.

Michael D. Ekstrand, Lex Beattie, Maria Soledad Pera, Henriette Cramer (2024), Not Just Algorithms: Strategically Addressing Consumer Impacts in Information Retrieval, Nazli Goharian, Nicola Tonellotto, Yulan He, Aldo Lipani, Graham McDonald, Craig Macdonald, Iadh Ounis (Eds.), In Advances in Information Retrieval - 46th European Conference on Information Retrieval, ECIR 2024, Proceedings p.314-335, Springer.

Alisa Rieger, Tim Draws, Mariët Theune, Nava Tintarev (2024), Nudges to Mitigate Confirmation Bias during Web Search on Debated Topics: Support vs. Manipulation, In ACM Transactions on the Web Volume 18.

Peide Zhu, Arthur Câmara, Nirmal Roy, David Maxwell, Claudia Hauff (2024), On the Effects of Automatically Generated Adjunct Questions for Search as Learning, In CHIIR 2024 - Proceedings of the 2024 Conference on Human Information Interaction and Retrieval p.266-277, Association for Computing Machinery (ACM).

Z. Li (2024), On the utility of metadata to optimize machine learning workflows, PhD Thesis Delft University of Technology.

Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju (2024), Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?, In Journal of Artificial Intelligence Research Volume 81 p.117-162.

Vivian Van Der Werf, Felienne Hermans, Marcus Specht, Efthimia Aivaloglou (2024), Promoting Deliberate Naming Practices in Programming Education: A Set of Interactive Educational Activities, In SIGCSE Virtual 2024 - Proceedings of the 2024 ACM Virtual Global Computing Education Conference V. 1 p.235-241, Association for Computing Machinery (ACM).

Robin Ungruh, Karlijn Dinnissen, Anja Volk, Maria Soledad Pera, Hanna Hauptmann (2024), Putting Popularity Bias Mitigation to the Test: A User-Centric Evaluation in Music Recommenders, Tommaso di Noia, Pasquale Lops, Thorsten Joachims, Katrien Verbert, Pablo Castells, Zhenhua Dong, Ben London (Eds.), In RecSys '24 p.169-178, Association for Computing Machinery (ACM).