The power of system call traces: predicting the software energy consumption impact of changes. - Karan Aggarwal; Chenlei Zhang; Joshua Charles Campbell; Abram Hindle; Eleni Stroulia (CASCON, 2014)

Co-evolution of project documentation and popularity within github. - Karan Aggarwal; Abram Hindle; Eleni Stroulia (MSR, 2014)

A system-call based model of software energy consumption without hardware instrumentation. - Shaiful Alam Chowdhury; Luke N. Kumar; Md. Toukir Imam; Mohomed Shazan Mohomed Jabbar; Varun Sapra; Karan Aggarwal; Abram Hindle; Russell Greiner (IGSC, 2015)

GreenAdvisor: A tool for analyzing the impact of software evolution on energy consumption. - Karan Aggarwal; Abram Hindle; Eleni Stroulia (ICSME, 2015)

Using machine translation for converting Python 2 to Python 3 code. - Karan Aggarwal; Mohammad Salameh; Abram Hindle (PeerJ Prepr., 2015)

Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning. - Karan Aggarwal; Shafiq R. Joty; Luis Fernández-Luque; Jaideep Srivastava (CoRR, 2017)

Detecting duplicate bug reports with software engineering domain knowledge. - Karan Aggarwal; Finbarr Timbers; Tanner Rutgers; Abram Hindle; Eleni Stroulia; Russell Greiner (J. Softw. Evol. Process., 2017)

Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling. - Karan Aggarwal; Onur Atan; Ahmed K. Farahat; Chi Zhang 030; Kosta Ristovski; Chetan Gupta 001 (IEEE BigData, 2018)

A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging. - Karan Aggarwal; Swaraj Khadanga; Shafiq R. Joty; Louis Kazaglis; Jaideep Srivastava (IEEE BigData, 2018)

Sleep Staging by Modeling Sleep Stage Transitions using Deep CRF. - Karan Aggarwal; Swaraj Khadanga; Shafiq R. Joty; Louis Kazaglis; Jaideep Srivastava (CoRR, 2018)

Temporal Proximity induces Attributes Similarity. - Arun Kumar 009; Karan Aggarwal; Paul R. Schrater (CoRR, 2018)

Data Mining Techniques for Social Networks Analysis. - Karan Aggarwal; Komal Kapoor; Jaideep Srivastava (Encyclopedia of Social Network Analysis and Mining. 2nd Ed., 2018)

Adversarial Unsupervised Representation Learning for Activity Time-Series. - Karan Aggarwal; Shafiq R. Joty; Luis Fernández-Luque; Jaideep Srivastava (AAAI, 2019)

Combining Text and Image data for Product Recommendability Modeling. - Mark Capelo; Karan Aggarwal; Pranjul Yadav (IEEE BigData, 2019)

Temporal Proximity Filtering. - Arun Kumar 009; Karan Aggarwal; Paul R. Schrater (CHI Extended Abstracts, 2019)

Using Clinical Notes with Time Series Data for ICU Management. - Swaraj Khadanga; Karan Aggarwal; Shafiq R. Joty; Jaideep Srivastava (EMNLP/IJCNLP (1), 2019)

Optimizing the linear fascicle evaluation algorithm for many-core systems. - Karan Aggarwal; Uday Bondhugula (ICS, 2019)

Detection of Cirrhosis Through Ultrasound Imaging. - Karan Aggarwal; Manjit Singh Bhamrah; Hardeep Singh Ryait (IRICT, 2019)

Domain adaptation in display advertising: an application for partner cold-start. - Karan Aggarwal; Pranjul Yadav; S. Sathiya Keerthi (RecSys, 2019)

Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems. - Karan Aggarwal; Uday Bondhugula; Varsha Sreenivasan; Devarajan Sridharan (CoRR, 2019)

Regression with Conditional GAN. - Karan Aggarwal; Matthieu Kirchmeyer; Pranjul Yadav; S. Sathiya Keerthi; Patrick Gallinari (CoRR, 2019)

Detection of cirrhosis through ultrasound imaging by intensity difference technique. - Karan Aggarwal; Manjit Singh Bhamrah; Hardeep Singh Ryait (EURASIP J. Image Video Process., 2019)

Dynamic Clustering with Discrete Time Event Prediction. - Karan Aggarwal; Georgios Theocharous; Anup B. Rao (SIGIR, 2020)

Optimizing the Linear Fascicle Evaluation Algorithm for Multi-core and Many-core Systems. - Karan Aggarwal; Uday Bondhugula (ACM Trans. Parallel Comput., 2020)

Markov features based DTCWS algorithm for online image forgery detection using ensemble classifier in the pandemic. - Rachna Mehta; Karan Aggarwal; Deepika Koundal; Adi Alhudhaif; Kemal Polat (Expert Syst. Appl., 2021)

A diagnostic testing for people with appendicitis using machine learning techniques. - Maad M. Mijwil; Karan Aggarwal (Multim. Tools Appl., 2022)

ECG-QALM: Entity-Controlled Synthetic Text Generation using Contextual Q&A for NER. - Karan Aggarwal; Henry Jin; Aitzaz Ahmad (ACL (Findings), 2023)

Embarrassingly Simple MixUp for Time-series. - Karan Aggarwal; Jaideep Srivastava (CoRR, 2023)

Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning. - Karan Aggarwal; Jaideep Srivastava (CoRR, 2023)

Energy-efficient polyglot persistence database live migration among heterogeneous clouds. - Kiranbir Kaur; Salil Bharany; Sumit Badotra; Karan Aggarwal; Anand Nayyar; Sandeep Sharma 002 (J. Supercomput., 2023)

Efficient Continual Pre-training for Building Domain Specific Large Language Models. - Yong Xie 002; Karan Aggarwal; Aitzaz Ahmad (ACL (Findings), 2024)

CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations. - Revanth Gangi Reddy; Sharath Chandra Etagi Suresh; Hao Bai; Wentao Yao 001; Mankeerat Sidhu; Karan Aggarwal; Prathamesh Sonawane; ChengXiang Zhai (WSDM, 2024)

Learning from Contrastive Prompts: Automated Optimization and Adaptation. - Mingqi Li; Karan Aggarwal; Yong Xie 002; Aitzaz Ahmad; Stephen Lau (CoRR, 2024)

Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection. - Yong Xie 002; Karan Aggarwal; Aitzaz Ahmad; Stephen Lau (CoRR, 2024)