News Topic Recommendation Using an Extended Bayesian Personalized Ranking. - Alireza Gharahighehi; Celine Vens (BNAIC/BENELEARN, 2019)

Extended Bayesian Personalized Ranking Based on Consumption Behavior. - Alireza Gharahighehi; Celine Vens (BNAIC/BENELEARN (Selected Papers), 2019)

Multi-stakeholder News Recommendation Using Hypergraph Learning. - Alireza Gharahighehi; Celine Vens; Konstantinos Pliakos (PKDD/ECML Workshops, 2020)

Making Session-based News Recommenders Diversity-aware. - Alireza Gharahighehi; Celine Vens (OHARS@RecSys, 2020)

An Ensemble Hypergraph Learning Framework for Recommendation. - Alireza Gharahighehi; Celine Vens; Konstantinos Pliakos (DS, 2021)

Fair multi-stakeholder news recommender system with hypergraph ranking. - Alireza Gharahighehi; Celine Vens; Konstantinos Pliakos (Inf. Process. Manag., 2021)

Personalizing Diversity Versus Accuracy in Session-Based Recommender Systems. - Alireza Gharahighehi; Celine Vens (SN Comput. Sci., 2021)

An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering. - Alireza Gharahighehi; Felipe Kenji Nakano; Celine Vens (IntelliSys (1), 2022)

Addressing the Cold-Start Problem in Collaborative Filtering Through Positive-Unlabeled Learning and Multi-Target Prediction. - Alireza Gharahighehi; Konstantinos Pliakos; Celine Vens (IEEE Access, 2022)

Extending Bayesian Personalized Ranking with Survival Analysis for MOOC Recommendation. - Alireza Gharahighehi; Michela Venturini; Achilleas Ghinis; Frederik Cornillie; Celine Vens (UMAP (Adjunct Publication), 2023)

HypeRS: Building a Hypergraph-driven ensemble Recommender System. - Alireza Gharahighehi; Celine Vens; Konstantinos Pliakos (CoRR, 2023)

Diversification in session-based news recommender systems. - Alireza Gharahighehi; Celine Vens (Pers. Ubiquitous Comput., 2023)

Adaptive Lifelong Learning (ALL). - Alireza Gharahighehi; Rani Van Schoors; Paraskevi Topali; Jeroen Ooge (AIED Companion (2), 2024)

Supporting Personalized Lifelong Learning with Human-Centered Artificial Intelligence Systems. - Alireza Gharahighehi; Rani Van Schoors; Paraskevi Topali; Jeroen Ooge (ALL@AIED, 2024)

Course recommendations in MOOCs using collaborative filtering and survival analysis (Invited Paper). - Alireza Gharahighehi; Michela Venturini; Celine Vens (ALL@AIED, 2024)

Personalized Learning in K-12 Education: Exploring Weak-Labels for a Random Forest-based Collaborative Filtering Approach. - Pedro Ilidio; Alireza Gharahighehi; Felipe Kenji Nakano; Celine Vens (ALL@AIED, 2024)

ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models. - Anaïs Tack; Siem Buseyne; Changsheng Chen; Robbe D'hondt; Michiel De Vrindt; Alireza Gharahighehi; Sameh Metwaly; Felipe Kenji Nakano; Ann-Sophie Noreillie (BEA, 2024)

Integrating Expert Knowledge in Matrix Factorization. - Changsheng Chen; Robbe D'hondt; Alireza Gharahighehi; Celine Vens; Wim van den Noortgate (LAK Workshops, 2025)

Enhancing Collaborative Filtering-Based Course Recommendations by Exploiting Time-to-Event Information with Survival Analysis. - Alireza Gharahighehi; Achilleas Ghinis; Michela Venturini; Frederik Cornillie; Celine Vens (CoRR, 2025)