Opinionated Explanations of Recommendations from Product Reviews. - Khalil Muhammad (ICCBR (Workshops), 2015)

Great Explanations: Opinionated Explanations for Recommendations. - Khalil Muhammad; Aonghus Lawlor; Rachael Rafter; Barry Smyth (ICCBR, 2015)

Opinionated Explanations for Recommendation Systems. - Aonghus Lawlor; Khalil Muhammad; Rachael Rafter; Barry Smyth (SGAI Conf., 2015)

Generating Personalised and Opinionated Review Summaries. - Khalil Muhammad; Aonghus Lawlor; Rachael Rafter; Barry Smyth (UMAP Workshops, 2015)

Explanation-based Ranking in Opinionated Recommender Systems. - Khalil Muhammad; Aonghus Lawlor; Barry Smyth (AICS, 2016)

On the Use of Opinionated Explanations to Rank and Justify Recommendations. - Khalil Muhammad; Aonghus Lawlor; Barry Smyth (FLAIRS, 2016)

A Live-User Study of Opinionated Explanations for Recommender Systems. - Khalil Ibrahim Muhammad; Aonghus Lawlor; Barry Smyth (IUI, 2016)

On the Pros and Cons of Explanation-Based Ranking. - Khalil Muhammad; Aonghus Lawlor; Barry Smyth (ICCBR, 2017)

A Multi-Domain Analysis of Explanation-Based Recommendation using User-Generated Reviews. - Khalil Muhammad; Aonghus Lawlor; Barry Smyth (FLAIRS, 2018)

FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems. - Khalil Muhammad; Qinqin Wang; Diarmuid O'Reilly-Morgan; Elias Z. Tragos; Barry Smyth; Neil Hurley; James Geraci; Aonghus Lawlor (KDD, 2020)

Investigating Health-Aware Smart-Nudging with Machine Learning to Help People Pursue Healthier Eating-Habits. - Mansura A. Khan; Khalil Muhammad; Barry Smyth; David Coyle (CoRR, 2021)

MARF: User-Item Mutual Aware Representation with Feedback. - Qinqin Wang; Khalil Muhammad; Diarmuid O'Reilly-Morgan; Barry Smyth; Elias Z. Tragos; Aonghus Lawlor; Neil Hurley; Ruihai Dong (ICWE, 2022)

Item Graph Convolution Collaborative Filtering for Inductive Recommendations. - Edoardo D'Amico; Khalil Muhammad; Elias Z. Tragos; Barry Smyth; Neil Hurley; Aonghus Lawlor (ECIR (1), 2023)