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2020 – today
- 2024
[c18]Yong Xie, Karan Aggarwal, Aitzaz Ahmad:
Efficient Continual Pre-training for Building Domain Specific Large Language Models. ACL (Findings) 2024: 10184-10201- [c17]Revanth Gangi Reddy
, Sharath Chandra Etagi Suresh, Hao Bai, Wentao Yao, Mankeerat Sidhu, Karan Aggarwal, Prathamesh Sonawane, ChengXiang Zhai:
CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations. WSDM 2024: 1050-1053 - [i13]Mingqi Li, Karan Aggarwal, Yong Xie, Aitzaz Ahmad, Stephen Lau:
Learning from Contrastive Prompts: Automated Optimization and Adaptation. CoRR abs/2409.15199 (2024) - 2023
- [j6]Kiranbir Kaur, Salil Bharany, Sumit Badotra, Karan Aggarwal, Anand Nayyar, Sandeep Sharma:
Energy-efficient polyglot persistence database live migration among heterogeneous clouds. J. Supercomput. 79(1): 265-294 (2023) - [c16]Karan Aggarwal, Henry Jin, Aitzaz Ahmad:
ECG-QALM: Entity-Controlled Synthetic Text Generation using Contextual Q&A for NER. ACL (Findings) 2023: 5649-5660 - [i12]Karan Aggarwal, Jaideep Srivastava:
Embarrassingly Simple MixUp for Time-series. CoRR abs/2304.04271 (2023) - [i11]Karan Aggarwal, Jaideep Srivastava:
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning. CoRR abs/2304.04275 (2023) - [i10]Yong Xie, Karan Aggarwal, Aitzaz Ahmad:
Efficient Continual Pre-training for Building Domain Specific Large Language Models. CoRR abs/2311.08545 (2023) - 2022
- [j5]Maad M. Mijwil, Karan Aggarwal:
A diagnostic testing for people with appendicitis using machine learning techniques. Multim. Tools Appl. 81(5): 7011-7023 (2022) - 2021
- [j4]Rachna Mehta, Karan Aggarwal, Deepika Koundal, Adi Alhudhaif, Kemal Polat:
Markov features based DTCWS algorithm for online image forgery detection using ensemble classifier in the pandemic. Expert Syst. Appl. 185: 115630 (2021) - 2020
- [j3]Karan Aggarwal, Uday Bondhugula:
Optimizing the Linear Fascicle Evaluation Algorithm for Multi-core and Many-core Systems. ACM Trans. Parallel Comput. 7(4): 22:1-22:45 (2020) - [c15]Karan Aggarwal, Georgios Theocharous, Anup B. Rao:
Dynamic Clustering with Discrete Time Event Prediction. SIGIR 2020: 1501-1504
2010 – 2019
- 2019
- [j2]Karan Aggarwal, Manjit Singh Bhamrah, Hardeep Singh Ryait:
Detection of cirrhosis through ultrasound imaging by intensity difference technique. EURASIP J. Image Video Process. 2019: 80 (2019) - [c14]Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava:
Adversarial Unsupervised Representation Learning for Activity Time-Series. AAAI 2019: 834-841 - [c13]Mark Capelo, Karan Aggarwal, Pranjul Yadav:
Combining Text and Image data for Product Recommendability Modeling. IEEE BigData 2019: 5992-5994 - [c12]Arun Kumar, Karan Aggarwal, Paul R. Schrater:
Temporal Proximity Filtering. CHI Extended Abstracts 2019 - [c11]Swaraj Khadanga, Karan Aggarwal, Shafiq R. Joty, Jaideep Srivastava:
Using Clinical Notes with Time Series Data for ICU Management. EMNLP/IJCNLP (1) 2019: 6431-6436 - [c10]Karan Aggarwal, Uday Bondhugula:
Optimizing the linear fascicle evaluation algorithm for many-core systems. ICS 2019: 425-437 - [c9]Karan Aggarwal, Manjit Singh Bhamrah, Hardeep Singh Ryait:
Detection of Cirrhosis Through Ultrasound Imaging. IRICT 2019: 245-258 - [c8]Karan Aggarwal, Pranjul Yadav, S. Sathiya Keerthi:
Domain adaptation in display advertising: an application for partner cold-start. RecSys 2019: 178-186 - [i9]Karan Aggarwal, Uday Bondhugula, Varsha Sreenivasan, Devarajan Sridharan:
Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems. CoRR abs/1905.06234 (2019) - [i8]Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav, S. Sathiya Keerthi, Patrick Gallinari:
Regression with Conditional GAN. CoRR abs/1905.12868 (2019) - [i7]Swaraj Khadanga, Karan Aggarwal, Shafiq R. Joty, Jaideep Srivastava:
Using Clinical Notes with Time Series Data for ICU Management. CoRR abs/1909.09702 (2019) - 2018
- [c7]Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta:
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling. IEEE BigData 2018: 1308-1317 - [c6]Karan Aggarwal, Swaraj Khadanga, Shafiq R. Joty, Louis Kazaglis, Jaideep Srivastava:
A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging. IEEE BigData 2018: 1318-1327 - [r1]Karan Aggarwal, Komal Kapoor, Jaideep Srivastava:
Data Mining Techniques for Social Networks Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. 2018 - [i6]Karan Aggarwal, Swaraj Khadanga, Shafiq R. Joty, Louis Kazaglis, Jaideep Srivastava:
Sleep Staging by Modeling Sleep Stage Transitions using Deep CRF. CoRR abs/1807.09119 (2018) - [i5]Arun Kumar, Karan Aggarwal, Paul R. Schrater:
Temporal Proximity induces Attributes Similarity. CoRR abs/1810.08747 (2018) - [i4]Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava:
Adversarial Unsupervised Representation Learning for Activity Time-Series. CoRR abs/1811.06847 (2018) - [i3]Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta:
Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling. CoRR abs/1812.07142 (2018) - 2017
- [j1]Karan Aggarwal, Finbarr Timbers, Tanner Rutgers, Abram Hindle, Eleni Stroulia, Russell Greiner:
Detecting duplicate bug reports with software engineering domain knowledge. J. Softw. Evol. Process. 29(3) (2017) - [i2]Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava:
Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning. CoRR abs/1712.09527 (2017) - 2015
- [c5]Shaiful Alam Chowdhury, Luke N. Kumar, Md. Toukir Imam, Mohomed Shazan Mohomed Jabbar, Varun Sapra, Karan Aggarwal, Abram Hindle, Russell Greiner:
A system-call based model of software energy consumption without hardware instrumentation. IGSC 2015: 1-6 - [c4]Karan Aggarwal, Abram Hindle, Eleni Stroulia:
GreenAdvisor: A tool for analyzing the impact of software evolution on energy consumption. ICSME 2015: 311-320 - [c3]Karan Aggarwal, Tanner Rutgers, Finbarr Timbers, Abram Hindle, Russell Greiner, Eleni Stroulia:
Detecting duplicate bug reports with software engineering domain knowledge. SANER 2015: 211-220 - [i1]Karan Aggarwal, Mohammad Salameh, Abram Hindle:
Using machine translation for converting Python 2 to Python 3 code. PeerJ Prepr. 3: e1459 (2015) - 2014
- [c2]Karan Aggarwal, Chenlei Zhang, Joshua Charles Campbell, Abram Hindle, Eleni Stroulia:
The power of system call traces: predicting the software energy consumption impact of changes. CASCON 2014: 219-233 - [c1]Karan Aggarwal, Abram Hindle, Eleni Stroulia:
Co-evolution of project documentation and popularity within github. MSR 2014: 360-363
Coauthor Index
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last updated on 2024-10-22 20:12 CEST by the dblp team
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