MAGMA: Multilevel accelerated gradient mirror descent algorithm for large-scale convex composite minimization V Hovhannisyan, P Parpas, S Zafeiriou SIAM Journal on Imaging Sciences 9 (4), 1829-1857, 2016 | 34 | 2016 |
A graph-based approach for unpacking construction sequence analysis to evaluate schedules Y Hong, H Xie, V Hovhannisyan, I Brilakis Advanced Engineering Informatics 52, 101625, 2022 | 9 | 2022 |
Determining construction method patterns to automate and optimise scheduling–a graph-based approach Y Hong, V Hovhannisyan, H Xie, I Brilakis EC3 Conference 2021 2, 59-66, 2021 | 9 | 2021 |
Fast multilevel algorithms for compressive principal component pursuit V Hovhannisyan, Y Panagakis, P Parpas, S Zafeiriou SIAM Journal on Imaging Sciences 12 (1), 624-649, 2019 | 8 | 2019 |
On Forecasting Project Activity Durations with Neural Networks P Zachares, V Hovhannisyan, C Ledezma, J Gante, A Mosca International Conference on Engineering Applications of Neural Networks, 103-114, 2022 | 5 | 2022 |
Data-Driven Schedule Risk Forecasting for Construction Mega-Projects V Hovhannisyan, P Zachares, A Mosca, Y Grushka-Cockayne, ... AACE International Conference 2023, 2023 | 2 | 2023 |
How to calibrate your neural network classifier: getting true probabilities from a classification model N Culakova, D Murphy, J Gante, C Ledezma, V Hovhannisyan, A Mosca Proceedings of the 26th ACM SIGKDD International Conference on Knowledge …, 2020 | 2 | 2020 |
Multilevel approximate robust principal component analysis V Hovhannisyan, Y Panagakis, P Parpas, S Zafeiriou Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 2 | 2017 |
Form follows Function: Text-to-Text Conditional Graph Generation based on Functional Requirements PA Zachares, V Hovhannisyan, A Mosca, Y Gal arXiv preprint arXiv:2311.00444, 2023 | 1 | 2023 |
Multilevel optimisation for computer vision V Hovhannisyan Imperial College London, UK, 2017 | | 2017 |