Abhijit Anand, Jurek Leonhardt, Venktesh V., Avishek Anand (2024), Understanding the User: An Intent-Based Ranking Dataset, In CIKM '24 p.5323-5327, Association for Computing Machinery (ACM).
Doga Cambaz, Xiaoling Zhang (2024), Use of AI-driven Code Generation Models in Teaching and Learning Programming: a Systematic Literature Review, In SIGCSE 2024 - Proceedings of the 55th ACM Technical Symposium on Computer Science Education p.172-178, Association for Computing Machinery (ACM).
Vivian Van Der Werf, Felienne Hermans, Marcus Specht, Efthimia Aivaloglou (2024), Variables and Variable Naming in Popular Programming Textbooks for Children and Novices, In SIGCSE Virtual 2024 p.242-248, Association for Computing Machinery (ACM).
Steffen Staab, Luca Maria Aiello, Yelena Mejova, Oshani Seneviratne, Marc Spaniol, Katharina Kinder-Kurlanda, Agnieszka Faleńska, Ujwal Gadiraju, Georgios Smaragdakis, More Authors (2024), Web Science 2024: Conference Chairs' Welcome Message, Proceedings of the 16th ACM Web Science Conference, WebSci 2024 p.III-X.
S. Salimzadeh, Ujwal Gadiraju (2024), When in Doubt! Understanding the Role of Task Characteristics on Peer Decision-Making with AI Assistance, In UMAP 2024 - Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization p.89 - 101.
Alisa Smirnova, Jie Yang, Philippe Cudre-Mauroux (2024), XCrowd: Combining Explainability and Crowdsourcing to Diagnose Models in Relation Extraction, In CIKM '24 p.2097-2107, Association for Computing Machinery (ACM).
Wenbo Sun, Asterios Katsifodimos, Rihan Hai (2023), Accelerating Machine Learning Queries with Linear Algebra Query Processing, Robert Schuler, Carl Kesselman, Kyle Chard, Alejandro Bugacov (Eds.), In Scientific and Statistical Database Management - 35th International Conference, SSDBM 2023 - Proceedings, Association for Computing Machinery (ACM).
G. Siachamis, K. Psarakis, M. Fragkoulis, Odysseas Papapetrou, A. van Deursen, A Katsifodimos (2023), Adaptive Distributed Streaming Similarity Joins, Marcelo Pasin (Eds.), In DEBS '23: Proceedings of the 17th ACM International Conference on Distributed and Event-based Systems p.25-36.
Amir Abolfazli, Jakob Spiegelberg, Avishek Anand, Gregory Palmer (2023), A Deep Reinforcement Learning Approach to Configuration Sampling Problem, Lisa O’Conner (Eds.), In Proceedings of the 2023 IEEE International Conference on Data Mining (ICDM).
V. van der Werf, G. van Helden, Johannes Schleiss, Gillian Saunders-Smits (2023), A Framework For Investigating The Application Of Educational Theories In Engineering Education Research.