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ORCIDAlireza Gharahighehi
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2020 – today
- 2024
[c9]Alireza Gharahighehi
, Rani Van Schoors, Paraskevi Topali, Jeroen Ooge:
Adaptive Lifelong Learning (ALL). AIED Companion (2) 2024: 452-459- [c8]Anaïs Tack, Siem Buseyne, Changsheng Chen, Robbe D'hondt, Michiel De Vrindt, Alireza Gharahighehi, Sameh Metwaly, Felipe Kenji Nakano, Ann-Sophie Noreillie:
ITEC at BEA 2024 Shared Task: Predicting Difficulty and Response Time of Medical Exam Questions with Statistical, Machine Learning, and Language Models. BEA 2024: 512-521 - 2023
- [j4]Alireza Gharahighehi, Celine Vens:
Diversification in session-based news recommender systems. Pers. Ubiquitous Comput. 27(1): 5-15 (2023) - [c7]Alireza Gharahighehi, Michela Venturini, Achilleas Ghinis, Frederik Cornillie, Celine Vens:
Extending Bayesian Personalized Ranking with Survival Analysis for MOOC Recommendation. UMAP (Adjunct Publication) 2023: 56-59 - [i4]Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos:
HypeRS: Building a Hypergraph-driven ensemble Recommender System. CoRR abs/2306.12800 (2023) - 2022
- [j3]Alireza Gharahighehi, Konstantinos Pliakos, Celine Vens:
Addressing the Cold-Start Problem in Collaborative Filtering Through Positive-Unlabeled Learning and Multi-Target Prediction. IEEE Access 10: 117189-117198 (2022) - [c6]Alireza Gharahighehi, Felipe Kenji Nakano, Celine Vens:
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering. IntelliSys (1) 2022: 531-545 - [i3]Alireza Gharahighehi, Felipe Kenji Nakano, Celine Vens:
An Adaptive Hybrid Active Learning Strategy with Free Ratings in Collaborative Filtering. CoRR abs/2203.05954 (2022) - 2021
- [j2]Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos:
Fair multi-stakeholder news recommender system with hypergraph ranking. Inf. Process. Manag. 58(5): 102663 (2021) - [j1]Alireza Gharahighehi, Celine Vens:
Personalizing Diversity Versus Accuracy in Session-Based Recommender Systems. SN Comput. Sci. 2(1): 39 (2021) - [c5]Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos:
An Ensemble Hypergraph Learning Framework for Recommendation. DS 2021: 295-304 - [i2]Alireza Gharahighehi, Celine Vens:
Diversification in Session-based News Recommender Systems. CoRR abs/2102.03265 (2021) - 2020
- [c4]Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos:
Multi-stakeholder News Recommendation Using Hypergraph Learning. PKDD/ECML Workshops 2020: 531-535 - [c3]Alireza Gharahighehi, Celine Vens:
Making Session-based News Recommenders Diversity-aware. OHARS@RecSys 2020: 60-66 - [i1]Alireza Gharahighehi, Celine Vens, Konstantinos Pliakos:
Fair Multi-Stakeholder News Recommender System with Hypergraph ranking. CoRR abs/2012.00387 (2020)
2010 – 2019
- 2019
- [c2]Alireza Gharahighehi, Celine Vens:
News Topic Recommendation Using an Extended Bayesian Personalized Ranking. BNAIC/BENELEARN 2019 - [c1]Alireza Gharahighehi, Celine Vens:
Extended Bayesian Personalized Ranking Based on Consumption Behavior. BNAIC/BENELEARN (Selected Papers) 2019: 152-164
Coauthor Index
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last updated on 2024-09-28 01:29 CEST by the dblp team
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