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Data-Driven Schedule Risk Forecasting for Construction Mega-Projects

V Hovhannisyan, P Zachares, A Mosca, C Ledezma, Y Grushka-Cockayne, AACE International Conference 2023

A graph-based approach for unpacking construction sequence analysis to evaluate schedules

Y Hong, H Xie, V Hovhannisyan, I BrilakisAdvanced Engineering Informatics 52, 101625

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

Determining Construction Method Patterns to Automate and Optimise Scheduling–A Graph-based Approach

Y Hong, V Hovhannisyan, H Xie, I Brilakis2021 European Conference on Computing in Construction

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 Discovery & Data Mining, pages 3499–3500, 2020.