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Shashank Srikant
Shashank Srikant
Ph.D candidate, CSAIL, MIT
Verified email at mit.edu - Homepage
Title
Cited by
Cited by
Year
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
912014
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
542020
Introducing data science to school kids
S Srikant, V Aggarwal
Proceedings of the 2017 ACM SIGCSE technical symposium on computer science …, 2017
342017
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
312016
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
272013
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
202013
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), 020026, 2019
172019
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
112021
Learning Models for Personalized Educational Feedback and Job Selection
V Shashidhar, S Srikant, V Aggarwal
Workshop on ML for Education, ICML 2015, 2015
52015
Method and system for grading a computer program
V Aggarwal, S Srikant
US Patent App. 14/423,439, 2016
42016
Dependency-based neural representations for classifying lines of programs
S Srikant, N Lesimple, UM O'Reilly
arXiv preprint arXiv:2004.10166, 2020
32020
Vulcan: classifying vulnerabilities in solidity smart contracts using dependency-based deep program representations
S Srikant
Massachusetts Institute of Technology, 2020
32020
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
32018
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
32016
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
22021
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
22016
Representations of Computer Programs in the Human Brain
S Srikant, B Lipkin, AA Ivanova, E Fedorenko, UM O'Reilly
2021
Skill evaluation
S Srikant, R Takhar, V Venugopal, V Aggarwal
Communications of the ACM 62 (11), 60-61, 2019
2019
Program Comprehension Does Not Primarily Rely On the Language Centers of the Human Brain
S Srikant, AA Ivanova, Y Sueoka, HH Kean, R Dhamala, E Fedorenko, ...
2018
Extracting semantic features from computer programs
V Aggarwal, S Srikant
US Patent App. 14/423,436, 2016
2016
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