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Jesse Harte, Wouter Zorgdrager, Panos Louridas, Asterios Katsifodimos, Dietmar Jannach, Marios Fragkoulis (2023), Leveraging Large Language Models for Sequential Recommendation, In Proceedings of the 17th ACM Conference on Recommender Systems, RecSys 2023 p.1096-1102, Association for Computing Machinery (ACM).

Lijun Lyu, Avishek Anand (2023), Listwise Explanations for Ranking Models Using Multiple Explainers, Jaap Kamps, Lorraine Goeuriot, Fabio Crestani, Maria Maistro, Hideo Joho, Brian Davis, Cathal Gurrin, Annalina Caputo, Udo Kruschwitz (Eds.), In Advances in Information Retrieval - 45th European Conference on Information Retrieval, ECIR 2023, Proceedings p.653-668, Springer.

Z. Li, R. Hai, A Katsifodimos, A. Bozzon (2023), Macaroni: Crawling and Enriching Metadata from Public Model Zoos, In International Conference on Web Engineering p.376-380.

Ziyu Li, Henk Kant, Rihan Hai, Asterios Katsifodimos, Marco Brambilla, Alessandro Bozzon (2023), Metadata Representations for Queryable Repositories of Machine Learning Models, In IEEE Access Volume 11 p.125616-125630.

Garrett Allen, Katherine Landau Wright, Jerry Alan Fails, Casey Kennington, Maria Soledad Pera (2023), Multi-Perspective Learning to Rank to Support Children's Information Seeking in the Classroom, Javier Gurrola (Eds.), In Proceedings of the 2023 IEEE International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT) p.311-317, IEEE.

Jan Schneider, Khaleel Asyraaf Mat Sanusi, B.H. Limbu, Marcel Schmitz, Daniel Schiffner (2023), Novices Make More Noise!: The D&K Effect 2.0?, Daniele Di Mitri , Namrata Srivastava , Roberto Martinez-Maldonado, Mutlu Cukurova (Eds.), In CrossMMLA 2023 p.43-48, CEUR-WS.

A.M.A. Balayn (2023), On developers’ practices for hazard diagnosis in machine learning systems, PhD Thesis Delft University of Technology.

Z. Li, W. Sun, R. Hai, A. Bozzon, A Katsifodimos (2023), Optimizing ML Inference Queries Under Constraints, In International Conference on Web Engineering p.51-66.

Ziyu Li, Mariette Schonfeld, Rihan Hai, Alessandro Bozzon, Asterios Katsifodimos (2023), Optimizing Machine Learning Inference Queries for Multiple Objectives, In Proceedings - 2023 IEEE 39th International Conference on Data Engineering Workshops, ICDEW 2023 p.74-78, Institute of Electrical and Electronics Engineers (IEEE).