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Karan Aggarwal
Karan Aggarwal
Amazon Inc
Verified email at umn.edu
Title
Cited by
Cited by
Year
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
1142015
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
852014
The power of system call traces: Predicting the software energy consumption impact of changes
K Aggarwal, Z Chenlei, J Campbell, A Hindle, E Stroulia
802014
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
592015
Using Clinical Notes with Time Series Data for ICU Management
S Khadanga, K Aggarwal, S Joty, J Srivastava
Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019
562019
Benchmarking regression methods: A comparison with CGAN
K Aggarwal, M Kirchmeyer, P Yadav, SS Keerthi, P Gallinari
arXiv preprint arXiv:1905.12868, 2019
53*2019
Two birds with one network: Unifying failure event prediction and time-to-failure modeling
K Aggarwal, O Atan, AK Farahat, C Zhang, K Ristovski, C Gupta
2018 IEEE international conference on big data (Big Data), 1308-1317, 2018
472018
Using machine translation for converting python 2 to python 3 code
K Aggarwal, M Salameh, A Hindle
PeerJ PrePrints, 2015
432015
A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging
K Aggarwal, S Khadanga, S Joty, L Kazaglis, J Srivastava
2018 IEEE International Conference on Big Data (Big Data), 1318-1327, 2018
232018
Adversarial Unsupervised Representation Learning for Activity Time-Series
K Aggarwal, S Joty, L Fernandez-Luque, J Srivastava
Proceedings of the AAAI Conference on Artificial Intelligence 33, 834-841, 2019
212019
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
162015
Domain Adaptation in Display Advertising: An Application for Partner Cold-Start
K Aggarwal, P Yadav, KS Selvaraj
Proceedings of the 13th ACM Conference on Recommender Systems, 178-186, 2019
112019
Efficient continual pre-training for building domain specific large language models
Y Xie, K Aggarwal, A Ahmad
arXiv preprint arXiv:2311.08545, 2023
62023
Multi task learning with incomplete labels for predictive maintenance
C Zhang, AK Farahat, C Gupta, K Aggarwal
US Patent 11,231,703, 2022
62022
Data Mining Techniques for Social Networks Analysis.
K Aggarwal, K Kapoor, J Srivastava
Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018
62018
Dynamic clustering with discrete time event prediction
K Aggarwal, G Theocharous, AB Rao
Proceedings of the 43rd International ACM SIGIR Conference on Research and …, 2020
52020
Unified framework for dynamic clustering and discrete time event prediction
K Aggarwal, G Theocharous, A Rao
US Patent App. 16/933,361, 2022
32022
Using clinical notes for icu management
K Aggarwal, S Khadanga, SR Joty, J Srivastava
US Patent App. 17/330,908, 2021
32021
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
32017
Combining Text and Image data for Product Recommendability Modeling
M Capelo, K Aggarwal, P Yadav
2019 IEEE International Conference on Big Data (Big Data), 5992-5994, 2019
22019
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