| PDMFRec: a decentralised matrix factorisation with tunable user-centric privacy E Duriakova, EZ Tragos, B Smyth, N Hurley, FJ Peña, P Symeonidis, ... Proceedings of the 13th ACM Conference on Recommender Systems, 457-461, 2019 | 42 | 2019 |
| 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 | 35 | 2020 |
| High-productivity and high-performance analysis of filtered semantic graphs A Buluç, E Duriakova, A Fox, JR Gilbert, S Kamil, A Lugowski, L Oliker, ... 2013 IEEE 27th International Symposium on Parallel and Distributed …, 2013 | 19 | 2013 |
| Parallel processing of filtered queries in attributed semantic graphs A Lugowski, S Kamil, A Buluç, S Williams, E Duriakova, L Oliker, A Fox, ... Journal of Parallel and Distributed Computing 79, 115-131, 2015 | 16 | 2015 |
| An empirical comparison of k-shortest simple path algorithms on multicores D Ajwani, E Duriakova, N Hurley, U Meyer, A Schickedanz Proceedings of the 47th International Conference on Parallel Processing, 1-12, 2018 | 10 | 2018 |
| An algorithmic framework for decentralised matrix factorisation E Duriakova, W Huáng, E Tragos, A Lawlor, B Smyth, J Geraci, N Hurley Machine Learning and Knowledge Discovery in Databases: European Conference …, 2021 | 6 | 2021 |
| Engineering a parallel δ-stepping algorithm E Duriakova, D Ajwani, N Hurley 2019 IEEE International Conference on Big Data (Big Data), 609-616, 2019 | 4 | 2019 |
| Reformulations of the map equation for community finding and blockmodelling N Hurley, E Duriakova Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015 | 4 | 2015 |
| Analysis of the semi-synchronous approach to large-scale parallel community finding E Duriakova, N Hurley, D Ajwani, A Sala Proceedings of the second ACM conference on online social networks, 51-62, 2014 | 4 | 2014 |
| Boosting the Training Time of Weakly Coordinated Distributed Machine Learning E Duriakova, E Tragos, A Lawlor, B Smyth, N Hurley 2021 IEEE International Conference on Big Data (Big Data), 1023-1029, 2021 | 3 | 2021 |
| An information theoretic approach to generalised blockmodelling for the identification of meso-scale structure in networks N Hurley, E Duriakova 2016 IEEE/ACM International Conference on Advances in Social Networks …, 2016 | 2 | 2016 |
| Entity Matching with Large Language Models as Weak and Strong Labellers D O’Reilly-Morgan, E Tragos, E Duriakova, H Du, N Hurley, A Lawlor European Conference on Advances in Databases and Information Systems, 58-67, 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 |
| þÿEngineeringaParallel"-steppingAlgorithm E Duriakova, D Ajwani, NJ Hurley Baru, C., Huan, J., Khan, L., Hu, X., AK, R., Tian, Y., Barga, R., Zaniolo …, 2019 | | 2019 |
