BraveCat: Iterative Deepening Distance-Based Opponent Modeling and Hybrid Bidding in Nonlinear Ultra Large Bilateral Multi Issue Negotiation Domains. - Farhad Zafari; Faria Nassiri Mofakham (ANAC@AAMAS, 2014)

Feature-Aware Factorised Collaborative Filtering. - Farhad Zafari; Irene Moser (Australasian Conference on Artificial Intelligence, 2016)

POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations. - Farhad Zafari; Faria Nassiri Mofakham (Artif. Intell., 2016)

POPPONENT: Highly accurate, individually and socially efficient opponent preference model in bilateral multi issue negotiations (Extended Abstract). - Farhad Zafari; Faria Nassiri Mofakham (IJCAI, 2017)

Proposing a Highly Accurate Hybrid Component-Based Factorised Preference Model in Recommender Systems. - Farhad Zafari; Rasoul Rahmani; Irene Moser (IJCAI, 2017)

Modelling socially-influenced conditional preferences over feature values in recommender systems based on factorised collaborative filtering. - Farhad Zafari; Irene Moser (Expert Syst. Appl., 2017)

Modelling and analysis of temporal preference drifts using a component-based factorised latent approach. - Farhad Zafari; Irene Moser; Tim Baarslag (Expert Syst. Appl., 2019)

ReEx: An integrated architecture for preference model representation and explanation. - Farhad Zafari; Irene Moser; Timos Sellis (Expert Syst. Appl., 2020)

Offline Evaluation Standards for Recommender Systems. - Chin Lin Wong; Diego Marinho de Oliveira; Farhad Zafari; Fernando Mourão; Rafael Colares; Sabir Ribas (RecSys, 2021)

Imbalanced Data Sparsity as a Source of Unfair Bias in Collaborative Filtering. - Aditya Joshi; Chin Lin Wong; Diego Marinho de Oliveira; Farhad Zafari; Fernando Mourão; Sabir Ribas; Saumya Pandey (RecSys, 2022)