Sara Salimzadeh, Ujwal Gadiraju (2024), "decisionTime": A Configurable Framework for Reproducible Human-AI Decision-Making Studies, In UMAP 2024 - Adjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization p.66-69, Association for Computing Machinery (ACM).

Maria Soledad Pera, Federica Cena, Theo Huibers, Monica Landoni, Noemi Mauro, Emiliana Murgia (2024), 1st Workshop on Information Retrieval for Understudied Users (IR4U2), 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.409-414, Springer.

Maarten Flippo, Konstantin Sidorov, Imko Marijnissen, Jeff Smits, Emir Demirović (2024), A Multi-Stage Proof Logging Framework to Certify the Correctness of CP Solvers, Paul Shaw (Eds.), In 30th International Conference on Principles and Practice of Constraint Programming (CP 2024), Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing.

Xiaoling Zhang, Fenia Aivaloglou, Marcus Specht (2024), A Systematic Umbrella Review on Computational Thinking Assessment in Higher Education, In European Journal of STEM Education.

Zhu Sun, Kaidong Feng, Jie Yang, Xinghua Qu, Hui Fang, Yew-Soon Ong, Wenyuan Liu (2024), Adaptive In-Context Learning with Large Language Models for Bundle Generation, In SIGIR '24 p.966-976, Association for Computing Machinery (ACM).

G. Siachamis (2024), Adaptivity for Streaming Dataflow Engines, PhD Thesis Delft University of Technology.

M. Al Owayyed, M.L. Tielman, Arno Hartholt, M.M. Specht, W.P. Brinkman (2024), Agent-based social skills training systems: the ARTES architecture, interaction characteristics, learning theories and future outlooks, In Behaviour and Information Technology p.1–28.

Rishav Hada, Safiya Husain, Varun Gumma, Harshita Diddee, Aditya Yadavalli, Agrima Seth, Nidhi Kulkarni, Ujwal Gadiraju, Aditya Vashistha, More Authors (2024), Akal Badi ya Bias: An Exploratory Study of Gender Bias in Hindi Language Technology, In 2024 ACM Conference on Fairness, Accountability, and Transparency, FAccT 2024 p.1926-1939, Association for Computing Machinery (ACM).

Ziyu Li, Wenbo Sun, Danning Zhan, Yan Kang, Lydia Chen, Alessandro Bozzon, Rihan Hai (2024), Amalur: Data Integration Meets Machine Learning, In IEEE Transactions on Knowledge and Data Engineering p.1-14.

Esra Cemre Su de Groot, Lieke Hofmans, Wouter van den Bos (2024), Brain structure correlates of social information use: an exploratory machine learning approach, In Frontiers in Human Neuroscience Volume 18.