Diarmuid O'Reilly-Morgan

According to our database, Diarmuid O'Reilly-Morgan authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy.

Diarmuid O'Reilly-Morgan, Elias Z. Tragos, James Geraci, Qinqin Wang, Neil Hurley, Barry Smyth, Aonghus Lawlor

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

ALS Algorithm for Robust and Communication-Efficient Federated Learning.

Neil Hurley, Erika Duriakova, James Geraci, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Barry Smyth, Aonghus Lawlor

Proceedings of the 4th Workshop on Machine Learning and Systems, 2024

2023

Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework.

Elias Z. Tragos, Diarmuid O'Reilly-Morgan, James Geraci, Bichen Shi, Barry Smyth, Cailbhe Doherty, Aonghus Lawlor, Neil Hurley

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems.

Qinqin Wang, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor, Ruihai Dong

IEEE Access, 2022

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

Proceedings of the Web Engineering - 22nd International Conference, 2022

2020

MP4Rec: Explainable and Accurate Top-N Recommendations in Heterogeneous Information Networks.

Makbule Gulcin Ozsoy, Diarmuid O'Reilly-Morgan, Panagiotis Symeonidis, Elias Z. Tragos, Neil Hurley, Barry Smyth, Aonghus Lawlor

IEEE Access, 2020

Combining Rating and Review Data by Initializing Latent Factor Models with Topic Models for Top-N Recommendation.

Francisco J. Peña, Diarmuid O'Reilly-Morgan, Elias Z. Tragos, Neil Hurley, Erika Duriakova, Barry Smyth, Aonghus Lawlor

Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

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

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020