| GMMR: A Gaussian mixture model based unsupervised machine learning approach for optimal routing in opportunistic IoT networks V Vashishth, A Chhabra, DK Sharma Computer Communications 134, 138-148, 2019 | 72 | 2019 |
| A game theory based secure model against black hole attacks in opportunistic networks A Chhabra, V Vashishth, DK Sharma 2017 51st Annual conference on information sciences and systems (CISS), 1-6, 2017 | 42 | 2017 |
| Enabling security for the Industrial Internet of Things using deep learning, blockchain, and coalitions M Sharma, S Pant, D Kumar Sharma, K Datta Gupta, V Vashishth, ... Transactions on Emerging Telecommunications Technologies 32 (7), e4137, 2021 | 41 | 2021 |
| A fuzzy logic and game theory based adaptive approach for securing opportunistic networks against black hole attacks A Chhabra, V Vashishth, DK Sharma International Journal of Communication Systems 31 (4), e3487, 2018 | 39 | 2018 |
| RLProph: a dynamic programming based reinforcement learning approach for optimal routing in opportunistic IoT networks DK Sharma, JJPC Rodrigues, V Vashishth, A Khanna, A Chhabra Wireless Networks 26, 4319-4338, 2020 | 37 | 2020 |
| A machine learning approach using classifier cascades for optimal routing in opportunistic internet of things networks V Vashishth, A Chhabra, DK Sharma 2019 16th Annual IEEE International Conference on Sensing, Communication …, 2019 | 34 | 2019 |
| Fair algorithms for hierarchical agglomerative clustering A Chhabra, P Mohapatra 2022 21st IEEE International Conference on Machine Learning and Applications …, 2022 | 28 | 2022 |
| Beyond prompts: Exploring the design space of mixed-initiative co-creativity systems Z Lin, U Ehsan, R Agarwal, S Dani, V Vashishth, M Riedl arXiv preprint arXiv:2305.07465, 2023 | 27 | 2023 |
| SEIR: A stackelberg game based approach for energy-aware and incentivized routing in selfish opportunistic networks A Chhabra, V Vashishth, DK Sharma 2017 51st Annual Conference on information sciences and systems (CISS), 1-6, 2017 | 25 | 2017 |
| A predictive approach to task scheduling for Big Data in cloud environments using classification algorithms V Vashishth, A Chhabra, A Sood 2017 7th International Conference on Cloud Computing, Data Science …, 2017 | 17 | 2017 |
| An energy efficient routing protocol for wireless Internet-of-Things sensor networks V Vashishth, A Chhabra, A Khanna, DK Sharma, J Singh arXiv preprint arXiv:1808.01039, 2018 | 16 | 2018 |
| An energy efficient routing protocol for wireless internet-of-things sensor networks A Chhabra, V Vashishth, A Khanna, DK Sharma, J Singh arXiv preprint arXiv:1808.01039, 2018 | 16 | 2018 |
| Hands-on ONE simulator: opportunistic network environment A Chhabra, V Vashishth, DK Sharma Opportunistic Networks, 280-303, 2018 | 4 | 2018 |
| Inshrinkerator: Compressing Deep Learning Training Checkpoints via Dynamic Quantization A Agrawal, S Reddy, S Bhattamishra, VPS Nookala, V Vashishth, K Rong, ... Proceedings of the 2024 ACM Symposium on Cloud Computing, 1012-1031, 2024 | 3 | 2024 |
| Beyond Following: Mixing Active Initiative into Computational Creativity Z Lin, U Ehsan, R Agarwal, S Dani, V Vashishth, M Riedl arXiv preprint arXiv:2409.16291, 2024 | | 2024 |
| Identifying Likely-Infected Nodes and Reconstructing the Infection Trace for COVID-19 V Vashishth, A Gupta, KG Shriniwas | | 2021 |
Anshuman ChhabraAssistant Professor of Computer Science and Engineering, University of South Floridaยืนยันอีเมลแล้วที่ usf.edu