| An introduction to multiobjective simulation optimization SR Hunter, EA Applegate, V Arora, B Chong, K Cooper, ... ACM Transactions on Modeling and Computer Simulation (TOMACS) 29 (1), 1-36, 2019 | 89 | 2019 |
| Modeling topologically resilient supply chain networks V Arora, M Ventresca Applied Network Science 3, 1-20, 2018 | 34 | 2018 |
| Action-based modeling of complex networks V Arora, M Ventresca Scientific reports 7 (1), 6673, 2017 | 34 | 2017 |
| De novo prediction of RNA–protein interactions with graph neural networks V Arora, G Sanguinetti RNA 28 (11), 1469-1480, 2022 | 8 | 2022 |
| A multi-objective optimization approach for generating complex networks V Arora, M Ventresca Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 6 | 2016 |
| Examining the variability in network populations and its role in generative models V Arora, D Guo, KD Dunbar, M Ventresca Network Science 8 (S1), S43-S64, 2020 | 5 | 2020 |
| Evaluating the natural variability in generative models for complex networks V Arora, M Ventresca Complex Networks and Their Applications VII: Volume 1 Proceedings The 7th …, 2019 | 3 | 2019 |
| Action-Based Model for Topologically Resilient Supply Networks V Arora, M Ventresca Complex Networks & Their Applications VI: Proceedings of Complex Networks …, 2018 | 3 | 2018 |
| Optimal resource allocation to minimize errors when detecting human trafficking A Ray, V Arora, K Maass, M Ventresca IISE Transactions 56 (3), 325-339, 2024 | 2 | 2024 |
| Quantifying lottery tickets under label noise: accuracy, calibration, and complexity V Arora, D Irto, S Goldt, G Sanguinetti Uncertainty in Artificial Intelligence, 88-98, 2023 | 2 | 2023 |
| Identifying the source of an epidemic using particle swarm optimization J MaGee, V Arora, M Ventresca Proceedings of the Genetic and Evolutionary Computation Conference, 1237-1244, 2022 | 2 | 2022 |
| Challenges for machine learning in RNA-protein interaction prediction V Arora, G Sanguinetti Statistical Applications in Genetics and Molecular Biology 21 (1), 20210087, 2022 | 2 | 2022 |
| Dynamic generative model of the human brain in resting-state D Guo, V Arora, E Amico, J Goñi, M Ventresca Complex Networks & Their Applications VI: Proceedings of Complex Networks …, 2018 | 2 | 2018 |
| The inverse problem of discovering complex network generators V Arora, M Ventresca Proceedings of the 9th International Conference on Inverse Problems in …, 2017 | 2 | 2017 |
| Investigating cognitive ability using action-based models of structural brain networks V Arora, E Amico, J Goñi, M Ventresca Journal of Complex Networks 10 (4), cnac037, 2022 | | 2022 |
| A Generalized Framework for Representing Complex Networks V Arora Purdue University, 2019 | | 2019 |
| ADeep LEARNING FRAMEWORK TO EFFICIENTLY ESTIMATE PRECIPITATION AT THE CONVECTION PERMITTING SCALE V Blasone, E Coppola, G Sanguinetti, V Arora, S Di Gioia, L Bortolussi | | |
Mario VentrescaAssociate Professor, Purdue UniversityVerified email at purdue.edu