Karan Aggarwal
Karan Aggarwal
Graduate Student, University of Minnesota
Verified email at umn.edu
TitleCited byYear
The power of system call traces: Predicting the software energy consumption impact of changes
K Aggarwal, C Zhang, JC Campbell, A Hindle, E Stroulia
Proceedings of 24th Annual International Conference on Computer Science and …, 2014
342014
Detecting duplicate bug reports with software engineering domain knowledge
K Aggarwal, F Timbers, T Rutgers, A Hindle, E Stroulia, R Greiner
Journal of Software: Evolution and Process 29 (3), e1821, 2017
262017
Detecting duplicate bug reports with software engineering domain knowledge
K Aggarwal, T Rutgers, F Timbers, A Hindle, R Greiner, E Stroulia
IEEE 22nd International Conference on Software Analysis, Evolution and …, 2015
262015
GreenAdvisor: A tool for analyzing the impact of software evolution on energy consumption
K Aggarwal, A Hindle, E Stroulia
2015 IEEE international conference on software maintenance and evolution …, 2015
192015
Co-evolution of project documentation and popularity within GitHub
K Aggarwal, A Hindle, E Stroulia
Proceedings of the 11th Working Conference on Mining Software Repositories …, 2014
192014
Syntax and sensibility: Using language models to detect and correct syntax errors
EA Santos, JC Campbell, D Patel, A Hindle, JN Amaral
2018 IEEE 25th International Conference on Software Analysis, Evolution and …, 2018
82018
A system-call based model of software energy consumption without hardware instrumentation
SA Chowdhury, LN Kumar, MT Imam, MSM Jabbar, V Sapra, K Aggarwal, ...
2015 Sixth International Green and Sustainable Computing Conference (IGSC), 1-6, 2015
62015
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning
K Aggarwal, S Joty, LF Luque, J Srivastava
arXiv preprint arXiv:1712.09527, 2017
22017
Using machine translation for converting Python 2 to Python 3 code
K Aggarwal, M Salameh, A Hindle
PeerJ PrePrints, 2015
12015
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling
K Aggarwal, O Atan, A Farahat, C Zhang, K Ristovski, C Gupta
arXiv preprint arXiv:1812.07142, 2018
2018
A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging
K Aggarwal, S Khadanga, SR Joty, L Kazaglis, J Srivastava
2018
Adversarial Unsupervised Representation Learning for Activity Time-Series
K Aggarwal, S Joty, L Fernandez-Luque, J Srivastava
arXiv preprint arXiv:1811.06847, 2018
2018
Temporal Proximity induces Attributes Similarity
A Kumar, K Aggarwal, P Schrater
arXiv preprint arXiv:1810.08747, 2018
2018
Data Mining Techniques for Social Networks Analysis
K Aggarwal, K Kapoor, J Srivastava
Encyclopedia of Social Network Analysis and Mining, 1-11, 2017
2017
Using System Calls to Predict Changes in Application Energy Consumption Profiles
K Aggarwal
University of Alberta, 2015
2015
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