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Diarmuid O'Reilly-Morgan
Diarmuid O'Reilly-Morgan
Research Engineer, University College Dublin
在 insight-centre.org 的电子邮件经过验证
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Fedfast: Going beyond average for faster training of federated recommender systems
K Muhammad, Q Wang, D O'Reilly-Morgan, E Tragos, B Smyth, N Hurley, ...
Proceedings of the 26th ACM SIGKDD international conference on knowledge …, 2020
2212020
Combining rating and review data by initializing latent factor models with topic models for top-n recommendation
FJ Peña, D O'Reilly-Morgan, EZ Tragos, N Hurley, E Duriakova, B Smyth, ...
Proceedings of the 14th ACM Conference on Recommender Systems, 438-443, 2020
332020
MP4Rec: Explainable and accurate top-n recommendations in heterogeneous information networks
MG Ozsoy, D O’Reilly-Morgan, P Symeonidis, EZ Tragos, N Hurley, ...
IEEE Access 8, 181835-181847, 2020
172020
Keeping People Active and Healthy at Home Using a Reinforcement Learning-based Fitness Recommendation Framework.
EZ Tragos, D O'Reilly-Morgan, J Geraci, B Shi, B Smyth, C Doherty, ...
IJCAI, 6237-6245, 2023
52023
Learning Domain-Independent Representations via Shared Weight Auto-Encoder for Transfer Learning in Recommender Systems
Q Wang, D Oàeilly-morgan, EZ Tragos, N Hurley, B Smyth, A Lawlor, ...
IEEE Access 10, 71961-71972, 2022
12022
A Hybrid Decentralised Learning Topology for Recommendations with Improved Privacy
DOR Morgan, E Tragos, J Geraci, Q Wang, N Hurley, B Smyth, A Lawlor
Proceedings of the 4th Workshop on Machine Learning and Systems, 161-168, 2024
2024
ALS Algorithm for Robust and Communication-Efficient Federated Learning
N Hurley, E Duriakova, J Geraci, D O'Reilly-Morgan, E Tragos, B Smyth, ...
Proceedings of the 4th Workshop on Machine Learning and Systems, 56-64, 2024
2024
MARF: User-Item Mutual Aware Representation with Feedback
Q Wang, K Muhammad, DO Reilly-Morgan, B Smyth, E Tragos, A Lawlor, ...
International Conference on Web Engineering, 3-15, 2022
2022
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