Alireza Gharahighehi

27 papers A* 1B 1Journal 11Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Oxytrees: Model Trees for Bipartite Learning. AAAI Pedro Ilídio, Felipe Kenji Nakano, Alireza Gharahighehi, Robbe D'hondt, Ricardo Cerri, Celine Vens
2025	J	`jnl`	Enhancing Collaborative Filtering-Based Course Recommendations by Exploiting Time-to-Event Information with Survival Analysis. CoRR Alireza Gharahighehi, Achilleas Ghinis, Michela Venturini, Frederik Cornillie, Celine Vens
2025	—	`conf`	Integrating Expert Knowledge in Matrix Factorization. LAK Workshops Changsheng Chen, Robbe D'hondt, Alireza Gharahighehi, Celine Vens, Wim Van Den Noortgate
2025	—	`ed.`	Joint Proceedings of LAK 2025 Workshops co-located with 15th International Conference on Learning Analytics and Knowledge (LAK 2025), Dublin, Ireland, March 3-4, 2025. LAK Workshops Martin Hlosta, Ivan Moser, Amir Winer, Nitza Geri, Birte Heinemann, Sergej Görzen, Umesh Ramnarain, Christo van der Westhuizen, Mafor Penn, Alireza Gharahighehi, Rani Van Schoors, Paraskevi Topali, Jeroen Ooge, Brendan Flanagan, Owen H. T. Lu, Atsushi Shimada, Namrata Srivastava, Albert C. M. Yang, Hsiao-Ting Tseng, Fumiya Okubo, Eduardo Davalos Anaya, Hiroaki Ogata, Riordan Alfredo, Simon Buckingham Shum, Mutlu Cukurova, Yannis A. Dimitriadis, Charles Lang, Roberto Martínez-Maldonado, Patricia Santos, Olga Viberg, Andy Nguyen, Sanna Järvelä, Carolyn P. Rosé, Alyssa Wise, Michail Giannakos, Kshitij Sharma, Luna Huynh, Amanda Barany, Ryan Shaun Baker, Jionghao Lin, Andrew Katz, Maurice Boothe Jr., Xavier Ochoa, David J. Gagnon, Luke Swanson, Erik Harpstead
2025	J	`jnl`	Oxytrees: Model Trees for Bipartite Learning. CoRR Pedro Ilídio, Felipe Kenji Nakano, Alireza Gharahighehi, Robbe D'hondt, Ricardo Cerri, Celine Vens
2025	J	`jnl`	Pairwise and Attribute-Aware Decision Tree-Based Preference Elicitation for Cold-Start Recommendation. CoRR Alireza Gharahighehi, Felipe Kenji Nakano, Xuehua Yang, Wenhan Cu, Celine Vens
2024	—	`conf`	Adaptive Lifelong Learning (ALL). AIED Companion (2) Alireza Gharahighehi, Rani Van Schoors, Paraskevi Topali, Jeroen Ooge
2024	—	`conf`	Course recommendations in MOOCs using collaborative filtering and survival analysis (Invited Paper). ALL@AIED Alireza Gharahighehi, Michela Venturini, Celine Vens
2024	—	`conf`	ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models. BEA Anaïs Tack, Siem Buseyne, Changsheng Chen, Robbe D'hondt, Michiel De Vrindt, Alireza Gharahighehi, Sameh Metwaly, Felipe Kenji Nakano, Ann-Sophie Noreillie
2024	—	`conf`	Personalized Learning in K-12 Education: Exploring Weak-Labels for a Random Forest-based Collaborative Filtering Approach. ALL@AIED Pedro Ilídio, Alireza Gharahighehi, Felipe Kenji Nakano, Celine Vens
2024	—	`ed.`	Proceedings of the First Workshop on Adaptive Lifelong Learning (ALL 2024) co-located with the 25th International Conference on Artificial Intelligence in Education (AIED 2024), Recife, Brazil, July 08, 2024. ALL@AIED Alireza Gharahighehi, Rani Van Schoors, Paraskevi Topali, Jeroen Ooge
2024	—	`conf`	Supporting Personalized Lifelong Learning with Human-Centered Artificial Intelligence Systems. ALL@AIED Alireza Gharahighehi, Rani Van Schoors, Paraskevi Topali, Jeroen Ooge
2023	J	`jnl`	Diversification in session-based news recommender systems. Pers. Ubiquitous Comput. Alireza Gharahighehi, Celine Vens
2023	—	`conf`	Extending Bayesian Personalized Ranking with Survival Analysis for MOOC Recommendation. UMAP (Adjunct Publication) Alireza Gharahighehi, Michela Venturini, Achilleas Ghinis, Frederik Cornillie, Celine Vens
2023	J	`jnl`	HypeRS: Building a Hypergraph-driven ensemble Recommender System. CoRR Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos
2022	J	`jnl`	Addressing the Cold-Start Problem in Collaborative Filtering Through Positive-Unlabeled Learning and Multi-Target Prediction. IEEE Access Alireza Gharahighehi, Konstantinos Pliakos, Celine Vens
2022	—	`conf`	An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering. IntelliSys (1) Alireza Gharahighehi, Felipe Kenji Nakano, Celine Vens
2022	J	`jnl`	An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering. CoRR Alireza Gharahighehi, Felipe Kenji Nakano, Celine Vens
2021	B	`conf`	An Ensemble Hypergraph Learning Framework for Recommendation. DS Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos
2021	J	`jnl`	Diversification in Session-based News Recommender Systems. CoRR Alireza Gharahighehi, Celine Vens
2021	J	`jnl`	Fair multi-stakeholder news recommender system with hypergraph ranking. Inf. Process. Manag. Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos
2021	J	`jnl`	Personalizing Diversity Versus Accuracy in Session-Based Recommender Systems. SN Comput. Sci. Alireza Gharahighehi, Celine Vens
2020	J	`jnl`	Fair Multi-Stakeholder News Recommender System with Hypergraph ranking. CoRR Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos
2020	—	`conf`	Making Session-based News Recommenders Diversity-aware. OHARS@RecSys Alireza Gharahighehi, Celine Vens
2020	—	`conf`	Multi-stakeholder News Recommendation Using Hypergraph Learning. PKDD/ECML Workshops Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos
2019	—	`conf`	Extended Bayesian Personalized Ranking Based on Consumption Behavior. BNAIC/BENELEARN (Selected Papers) Alireza Gharahighehi, Celine Vens
2019	—	`conf`	News Topic Recommendation Using an Extended Bayesian Personalized Ranking. BNAIC/BENELEARN Alireza Gharahighehi, Celine Vens