| A system to grade computer programming skills using machine learning S Srikant, V Aggarwal Proceedings of the 20th ACM SIGKDD international conference on Knowledge …, 2014 | 117 | 2014 |
| Comprehension of computer code relies primarily on domain-general executive brain regions AA Ivanova, S Srikant, Y Sueoka, HH Kean, R Dhamala, UM O'reilly, ... elife 9, e58906, 2020 | 99 | 2020 |
| Introducing data science to school kids S Srikant, V Aggarwal Proceedings of the 2017 ACM SIGCSE technical symposium on computer science …, 2017 | 69 | 2017 |
| Generating adversarial computer programs using optimized obfuscations S Srikant, S Liu, T Mitrovska, S Chang, Q Fan, G Zhang, UM O'Reilly arXiv preprint arXiv:2103.11882, 2021 | 47 | 2021 |
| Question Independent Grading using Machine Learning: The Case of Computer Program Grading G Singh, S Srikant, V Aggarwal Proceedings of the 22nd ACM SIGKDD international conference on Knowledge …, 2016 | 45 | 2016 |
| Driving and suppressing the human language network using large language models G Tuckute, A Sathe, S Srikant, M Taliaferro, M Wang, M Schrimpf, K Kay, ... Nature Human Behaviour 8 (3), 544-561, 2024 | 38 | 2024 |
| Automatic grading of computer programs: A machine learning approach S Srikant, V Aggarwal 2013 12th International Conference on Machine Learning and Applications 1, 85-92, 2013 | 34 | 2013 |
| Principles for using machine learning in the assessment of open response items: Programming assessment as a case study V Aggarwal, S Srikant, V Shashidhar NIPS Workshop on Data Driven Education, 2013 | 24 | 2013 |
| On the application of Danskin’s theorem to derivative-free minimax problems A Al-Dujaili, S Srikant, E Hemberg, UM O’Reilly AIP Conference Proceedings 2070 (1), 2019 | 21 | 2019 |
| Clawsat: Towards both robust and accurate code models J Jia, S Srikant, T Mitrovska, C Gan, S Chang, S Liu, UM O’Reilly 2023 IEEE International Conference on Software Analysis, Evolution and …, 2023 | 10 | 2023 |
| Convergent representations of computer programs in human and artificial neural networks S Srikant, B Lipkin, A Ivanova, E Fedorenko, UM O'Reilly Advances in Neural Information Processing Systems 35, 18834-18849, 2022 | 9 | 2022 |
| Learning Models for Personalized Educational Feedback and Job Selection V Shashidhar, S Srikant, V Aggarwal Workshop on ML for Education, ICML 2015, 2015 | 8 | 2015 |
| Dependency-based neural representations for classifying lines of programs S Srikant, N Lesimple, UM O'Reilly arXiv preprint arXiv:2004.10166, 2020 | 6 | 2020 |
| Vulcan: Classifying vulnerabilities in solidity smart contracts using dependency-based deep program representations S Srikant Massachusetts Institute of Technology, 2020 | 6 | 2020 |
| AMEO 2015: A dataset comprising AMCAT test scores, biodata details and employment outcomes of job seekers V Aggarwal, S Srikant, H Nisar Proceedings of the 3rd IKDD Conference on Data Science, 2016, 1-2, 2016 | 5 | 2016 |
| Can Cognitive Neuroscience inform Neuro-Symbolic Inference Models? S Srikant, UM O'Reilly Is Neuro-Symbolic SOTA still a myth for Natural Language Inference? The …, 2021 | 4 | 2021 |
| Method and system for grading a computer program V Aggarwal, S Srikant US Patent App. 14/423,439, 2016 | 4 | 2016 |
| Method and system for automatic assessment of a candidate" s programming ability V Aggarwal, S Srikant, V Shashidhar US Patent App. 14/435,174, 2016 | 4 | 2016 |
| Exploring the use of autoencoders for botnets traffic representation R Dargenio, S Srikant, E Hemberg, UM O'Reilly 2018 IEEE Security and Privacy Workshops (SPW), 57-62, 2018 | 3 | 2018 |
| RaceInjector: Injecting Races to Evaluate and Learn Dynamic Race Detection Algorithms M Wang, S Srikant, M Samak, UM O’Reilly Proceedings of the 12th ACM SIGPLAN International Workshop on the State Of …, 2023 | 1 | 2023 |
Varun AggarwalAspiring Minds在 aspiringminds.com 的电子邮件经过验证
