| Fair multi-stakeholder news recommender system with hypergraph ranking A Gharahighehi, C Vens, K Pliakos Information Processing & Management 58 (5), 102663, 2021 | 36 | 2021 |
| Improving performances of the emergency department using discrete event simulation, DEA and the MADM methods A Gharahighehi, AS Kheirkhah, A Bagheri, E Rashidi Digital health 2, 2055207616664619, 2016 | 27 | 2016 |
| Diversification in session-based news recommender systems A Gharahighehi, C Vens Personal and Ubiquitous Computing 27 (1), 5-15, 2023 | 20 | 2023 |
| Personalizing diversity versus accuracy in session-based recommender systems A Gharahighehi, C Vens SN Computer Science 2 (1), 39, 2021 | 16 | 2021 |
| Recommender systems in the real estate market—a survey A Gharahighehi, K Pliakos, C Vens Applied Sciences 11 (16), 7502, 2021 | 15 | 2021 |
| Improving patient flow management process in emergency department using simulation and PROMETHEE method. A Gharahi, AH Kheirkhah, A Bagheri, M Ahmadi | 14 | 2014 |
| Making Session-based News Recommenders Diversity-aware A Gharahighehia, C Vens Proceedings of the Workshop on Online Misinformation-and Harm-Aware …, 2020 | 12 | 2020 |
| Extended Bayesian personalized ranking based on consumption behavior A Gharahighehi, C Vens Artificial Intelligence and Machine Learning, 152-164, 2020 | 11 | 2020 |
| Multi-stakeholder news recommendation using hypergraph learning A Gharahighehi, C Vens, K Pliakos ECML PKDD 2020 Workshops: Workshops of the European Conference on Machine …, 2020 | 10 | 2020 |
| Addressing the Cold-start problem in collaborative filtering through positive-unlabeled learning and multi-target prediction A Gharahighehi, K Pliakos, C Vens Ieee Access 10, 117189-117198, 2022 | 3 | 2022 |
| An Ensemble Hypergraph Learning Framework for Recommendation A Gharahighehi, C Vens, K Pliakos Discovery Science: 24th International Conference, DS 2021, Halifax, NS …, 2021 | 2 | 2021 |
| A Humanitarian logistics model to minimize losses aftermath of an earthquake in large-scale and actual size M Ahmadi, A Seifi, A Gharahighehi Journal of Emergency Management 2 (2), 51-64, 2014 | 2 | 2014 |
| Extending Bayesian Personalized Ranking with Survival Analysis for MOOC Recommendation A Gharahighehi, M Venturini, A Ghinis, F Cornillie, C Vens Adjunct Proceedings of the 31st ACM Conference on User Modeling, Adaptation …, 2023 | 1 | 2023 |
| Course recommendations in MOOCs using collaborative filtering and survival analysis A Gharahighehia, M Venturinia, F Cornillieb, C Vensa ECAI, European Starting AI Researchers’ Symposium (STAIRS), Date: 2023/09/30 …, 2023 | | 2023 |
| HypeRS: Building a Hypergraph-driven ensemble Recommender System A Gharahighehi, C Vens, K Pliakos arXiv preprint arXiv:2306.12800, 2023 | | 2023 |
| Dashboarding and Recommender systems for educational tools S Vanbecelaere, A Gharahighehi, S Bhatt Learning Bytes Festival, Location: Kortrijk, 2023 | | 2023 |
| Recommender systems for personalized applications A Gharahighehi | | 2022 |
| An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering A Gharahighehi, FK Nakano, C Vens Proceedings of SAI Intelligent Systems Conference, 531-545, 2022 | | 2022 |
| News Topic Recommendation using an extended Bayesian Personalized Ranking⋆ A Gharahighehi, C Vens BNAIC/BENELEARN, 2019 | | 2019 |
Celine Vensprofessor, Katholieke Universiteit LeuvenAdresse e-mail validée de kuleuven.be
