| Popponent: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations F Zafari, F Nassiri-Mofakham Artificial Intelligence 237, 59-91, 2016 | 41 | 2016 |
| Modelling and analysis of temporal preference drifts using a component-based factorised latent approach F Zafari, I Moser, T Baarslag Expert systems with applications 116, 186-208, 2019 | 32 | 2019 |
| Modelling socially-influenced conditional preferences over feature values in recommender systems based on factorised collaborative filtering F Zafari, I Moser Expert Systems with Applications 87, 98-117, 2017 | 17 | 2017 |
| Dopponent: A socially efficient preference model of opponent in bilateral multi issue negotiations F Zafari, MF NASSIRI, HALI ZEINAL JOURNAL OF COMPUTING AND SECURITY 1 (4), 283-292, 2014 | 13 | 2014 |
| Bravecat: iterative deepening distance-based opponent modeling and hybrid bidding in nonlinear ultra large bilateral multi issue negotiation domains F Zafari, F Nassiri-Mofakham Recent Advances in Agent-based Complex Automated Negotiation, 285-293, 2016 | 12 | 2016 |
| Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems. F Zafari, R Rahmani, I Moser IJCAI, 1332-1339, 2017 | 7 | 2017 |
| Feature-aware factorised collaborative filtering F Zafari, I Moser AI 2016: Advances in Artificial Intelligence: 29th Australasian Joint …, 2016 | 5 | 2016 |
| Imbalanced data sparsity as a source of unfair bias in collaborative filtering A Joshi, CL Wong, D Marinho de Oliveira, F Zafari, F Mourao, S Ribas, ... Proceedings of the 16th ACM Conference on Recommender Systems, 531-533, 2022 | 2 | 2022 |
| Offline Evaluation Standards for Recommender Systems CL Wong, D De Oliveira, F Zafari, F Mourão, R Colares, S Ribas Proceedings of the 15th ACM Conference on Recommender Systems, 567-568, 2021 | 1 | 2021 |
| ReEx: An Integrated Architecture for Preference Model Representation and Explanation F Zafari, I Moser, T Sellis Expert Systems With Applications, 2020 | 1 | 2020 |
| Accurate, efficient, and explainable modelling of context-dependent preferences using matrix factorisation F Zafari PhD Thesis, 2019 | | 2019 |
| Geno-Fuzzy Segmentation Approach to Improve the Profitability of Marketing Campaigns in Banking Industry Farhad Zafari, Faria Nassiri Mofakham, Reza Hosseini Pour Proceedings of 19th Annual conference of Computer Society of Iran, Tehran …, 2014 | | 2014 |
| Elicitation of User Preferences in Automated Multi-agent Negotiations MA Rigi, F Zafari, I Moser | | |
Irene MoserAssociate Professor in Computer Science, Swinburne University of Technologyswin.edu.au의 이메일 확인됨