Renuka Sindhgatta
Renuka Sindhgatta
IBM Research
Patvirtintas el. paštas
Semantic-based query techniques for source code
NN Siddaramappa, R Sindhgatta, S Sarkar, S Thonse, K Pooloth
US Patent 8,566,789, 2013
Using an information retrieval system to retrieve source code samples
R Sindhgatta
Proceedings of the 28th international conference on Software engineering …, 2006
SOMA-ME: A platform for the model-driven design of SOA solutions
LJ Zhang, N Zhou, YM Chee, A Jalaldeen, K Ponnalagu, RR Sindhgatta, ...
IBM Systems Journal 47 (3), 397-413, 2008
Sentence level or token level features for automatic short answer grading?: Use both
S Saha, TI Dhamecha, S Marvaniya, R Sindhgatta, B Sengupta
Artificial Intelligence in Education: 19th International Conference, AIED …, 2018
SmartDispatch: enabling efficient ticket dispatch in an IT service environment
S Agarwal, R Sindhgatta, B Sengupta
Proceedings of the 18th ACM SIGKDD international conference on Knowledge …, 2012
Measuring the quality of service oriented design
R Sindhgatta, B Sengupta, K Ponnalagu
Service-Oriented Computing: 7th International Joint Conference, ICSOC …, 2009
LINDA-BN: An interpretable probabilistic approach for demystifying black-box predictive models
C Moreira, YL Chou, M Velmurugan, C Ouyang, R Sindhgatta, P Bruza
Decision Support Systems 150, 113561, 2021
Exploring interpretable predictive models for business processes
R Sindhgatta, C Moreira, C Ouyang, A Barros
Business Process Management: 18th International Conference, BPM 2020 …, 2020
Augmenting classrooms with AI for personalized education
R Kokku, S Sundararajan, P Dey, R Sindhgatta, S Nitta, B Sengupta
2018 IEEE international conference on acoustics, speech and signal …, 2018
Software system requirements specification framework and tool
S Thonse, N Siddaramappa, R Sindhgatta, P Mahalingam, S Dhulipala, ...
US Patent App. 11/084,730, 2006
Targeted example generation for compilation errors
UZ Ahmed, R Sindhgatta, N Srivastava, A Karkare
2019 34th IEEE/ACM International Conference on Automated Software …, 2019
Memory-augmented neural networks for predictive process analytics
A Khan, H Le, K Do, T Tran, A Ghose, H Dam, R Sindhgatta
arXiv preprint arXiv:1802.00938 13, 2018
Building interpretable models for business process prediction using shared and specialised attention mechanisms
B Wickramanayake, Z He, C Ouyang, C Moreira, Y Xu, R Sindhgatta
Knowledge-Based Systems 248, 108773, 2022
Context-aware analysis of past process executions to aid resource allocation decisions
R Sindhgatta, A Ghose, HK Dam
Advanced Information Systems Engineering: 28th International Conference …, 2016
Software evolution in agile development: a case study
R Sindhgatta, NC Narendra, B Sengupta
Proceedings of the ACM international conference companion on Object oriented …, 2010
Evaluating fidelity of explainable methods for predictive process analytics
M Velmurugan, C Ouyang, C Moreira, R Sindhgatta
International conference on advanced information systems engineering, 64-72, 2021
Exploring interpretability for predictive process analytics
R Sindhgatta, C Ouyang, C Moreira
International Conference on Service-Oriented Computing, 439-447, 2020
Creating scoring rubric from representative student answers for improved short answer grading
S Marvaniya, S Saha, TI Dhamecha, P Foltz, R Sindhgatta, B Sengupta
Proceedings of the 27th ACM International Conference on Information and …, 2018
A collaborative platform for application knowledge management in software maintenance projects
S Sarkar, R Sindhgatta, K Pooloth
Proceedings of the 1st Bangalore annual Compute conference, 1-7, 2008
The effect of machine learning explanations on user trust for automated diagnosis of COVID-19
K Goel, R Sindhgatta, S Kalra, R Goel, P Mutreja
Computers in Biology and Medicine 146, 105587, 2022
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Straipsniai 1–20