| The case for graph-based recommendations I Popescu, K Portelli, C Anagnostopoulos, N Ntarmos 2017 IEEE International Conference on Big Data (Big Data), 4819-4821, 2017 | 8 | 2017 |
| Efficient human-machine control with asymmetric marginal reliability input devices JH Williamson, M Quek, I Popescu, A Ramsay, R Murray-Smith Plos one 15 (6), e0233603, 2020 | 7 | 2020 |
| Efficiency-Effectiveness Trade-offs in Recommendation Systems I Paun Fourteenth ACM Conference on Recommender Systems, 770-775, 2020 | 6 | 2020 |
| White-Box: On the Prediction of Collaborative Filtering Recommendation Systems’ Performance I Paun, Y Moshfeghi, N Ntarmos ACM Transactions on Internet Technology (TOIT), 2022 | 4 | 2022 |
| Are we there yet? Estimating Training Time for Recommendation Systems I Paun, Y Moshfeghi, N Ntarmos Proceedings of the 1st Workshop on Machine Learning and Systems, 39-47, 2021 | 3 | 2021 |
| Exploring Contextual Paradigms in Context-Aware Recommendations C Morgan, I Paun, N Ntarmos | 3 | 2020 |
| Measuring Distances Among Graphs En Route To Graph Clustering I Kyosev, I Paun, Y Moshfeghi, N Ntarmos | 2 | 2020 |
| Experience Report: Challenges and Opportunities of Remote Labs for a Computer Science Department D Fraser, E Hunter, W Kavanagh, A Pancheva, J Parkinson, I Paun, ... Postgraduate Pedagogies 2 (1), 173-209, 2022 | | 2022 |
| Efficiency modelling in collaborative filtering-based recommendation systems I Paun University of Glasgow, 2022 | | 2022 |
