| Graph neural network to dilute outliers for refactoring monolith application U Desai, S Bandyopadhyay, S Tamilselvam Proceedings of the AAAI Conference on Artificial Intelligence 35 (1), 72-80, 2021 | 48 | 2021 |
| Dynamic data selection for a machine learning model SM Kale, UM Desai, V Krishnamurthy | 26 | 2020 |
| Monolith to microservice candidates using business functionality inference S Agarwal, R Sinha, G Sridhara, P Das, U Desai, S Tamilselvam, ... 2021 IEEE International Conference on Web Services (ICWS), 758-763, 2021 | 12 | 2021 |
| Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network A Mathai, S Bandyopadhyay, U Desai, S Tamilselvam arXiv preprint arXiv:2112.01317, 2021 | 10 | 2021 |
| Monolith to Microservices: Representing Application Software through Heterogeneous Graph Neural Network. A Mathai, S Bandyopadhyay, U Desai, S Tamilselvam IJCAI, 3905-3911, 2022 | 8 | 2022 |
| Univariate anomaly detection in a sensor network GVD Karthik, UM Desai, V Krishnamurthy, G Udani US Patent 11,060,885, 2021 | 6 | 2021 |
| Assisting dependency migration G Sridhara, UM Desai, SG Tamilselvam, SKK Mani US Patent 11,354,108, 2022 | 3 | 2022 |
| Sensor network for optimized maintenance schedule V Amit, N Tomar, UM Desai, V Krishnamurthy, G Udani US Patent 11,651,627, 2023 | 2 | 2023 |
| Advances in code summarization U Desai, G Sridhara, S Tamilselvam 2021 IEEE/ACM 43rd International Conference on Software Engineering …, 2021 | 2 | 2021 |
| Evaluation of Siamese networks for semantic code search R Sinha, U Desai, S Tamilselvam, S Mani arXiv preprint arXiv:2011.01043, 2020 | 2 | 2020 |
| Keep Calm and train a GAN. Pitfalls and Tips on training Generative Adversarial Networks U Desai Medium, Apr 29, 10, 2018 | 2 | 2018 |
| Multi-objective driven refactoring of a monolith application using reinforcement learning UM Desai, SG Tamilselvam, SKR Danda US Patent App. 17/543,312, 2023 | 1 | 2023 |
| Benchmarking Popular Classification Models' Robustness to Random and Targeted Corruptions U Desai, S Tamilselvam, J Kaur, S Mani, S Khare arXiv preprint arXiv:2002.00754, 2020 | 1 | 2020 |
| Constraints-based refactoring of monolith applications through attributed graph embeddings SG Tamilselvam, UM Desai, S Bandyopadhyay US Patent 11,847,443, 2023 | | 2023 |
| Heterogeneous graph generation for application microservices SG Tamilselvam, UM Desai, S Bandyopadhyay, A Mathai US Patent 11,836,538, 2023 | | 2023 |
| Application refactoring with explainability SG Tamilselvam, A Mathai, UM Desai US Patent 11,782,704, 2023 | | 2023 |
| Identifying microservices for a monolith application through static code analysis SG Tamilselvam, UM Desai, A Singhee US Patent 11,768,679, 2023 | | 2023 |
| Univariate anomaly detection in a sensor network GVD Karthik, UM Desai, V Krishnamurthy US Patent 11,526,790, 2022 | | 2022 |
| Visualization for splitting an application into modules SG Tamilselvam, A Singhee, S Agarwal, UM Desai, R Sinha US Patent App. 17/069,487, 2022 | | 2022 |
| Dataset creation for deep-learning model SG Tamilselvam, SKK Mani, J Kaur, UM DESAI, S Khare, A Sankaran, ... US Patent App. 16/798,757, 2021 | | 2021 |
