Karan Aggarwal

According to our database, Karan Aggarwal authored at least 34 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection.

Yong Xie, Karan Aggarwal, Aitzaz Ahmad, Stephen Lau

CoRR, 2024

Learning from Contrastive Prompts: Automated Optimization and Adaptation.

Mingqi Li, Karan Aggarwal, Yong Xie, Aitzaz Ahmad, Stephen Lau

CoRR, 2024

CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations.

Revanth Gangi Reddy, Sharath Chandra Etagi Suresh, Hao Bai, Wentao Yao, Mankeerat Sidhu, Karan Aggarwal, Prathamesh Sonawane, ChengXiang Zhai

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Efficient Continual Pre-training for Building Domain Specific Large Language Models.

Yong Xie, Karan Aggarwal, Aitzaz Ahmad

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Energy-efficient polyglot persistence database live migration among heterogeneous clouds.

Kiranbir Kaur, Salil Bharany, Sumit Badotra, Karan Aggarwal, Anand Nayyar, Sandeep Sharma

J. Supercomput., 2023

Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning.

Karan Aggarwal, Jaideep Srivastava

CoRR, 2023

Embarrassingly Simple MixUp for Time-series.

Karan Aggarwal, Jaideep Srivastava

CoRR, 2023

ECG-QALM: Entity-Controlled Synthetic Text Generation using Contextual Q&A for NER.

Karan Aggarwal, Henry Jin, Aitzaz Ahmad

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A diagnostic testing for people with appendicitis using machine learning techniques.

Maad M. Mijwil, Karan Aggarwal

Multim. Tools Appl., 2022

2021

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

2020

Optimizing the Linear Fascicle Evaluation Algorithm for Multi-core and Many-core Systems.

Karan Aggarwal, Uday Bondhugula

ACM Trans. Parallel Comput., 2020

Dynamic Clustering with Discrete Time Event Prediction.

Karan Aggarwal, Georgios Theocharous, Anup B. Rao

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

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

Regression with Conditional GAN.

Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav, S. Sathiya Keerthi, Patrick Gallinari

CoRR, 2019

Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems.

Karan Aggarwal, Uday Bondhugula, Varsha Sreenivasan, Devarajan Sridharan

CoRR, 2019

Domain adaptation in display advertising: an application for partner cold-start.

Karan Aggarwal, Pranjul Yadav, S. Sathiya Keerthi

Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Detection of Cirrhosis Through Ultrasound Imaging.

Karan Aggarwal, Manjit Singh Bhamrah, Hardeep Singh Ryait

Proceedings of the Emerging Trends in Intelligent Computing and Informatics, 2019

Optimizing the linear fascicle evaluation algorithm for many-core systems.

Karan Aggarwal, Uday Bondhugula

Proceedings of the ACM International Conference on Supercomputing, 2019

Using Clinical Notes with Time Series Data for ICU Management.

Swaraj Khadanga, Karan Aggarwal, Shafiq R. Joty, Jaideep Srivastava

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Temporal Proximity Filtering.

Arun Kumar, Karan Aggarwal, Paul R. Schrater

Proceedings of the Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems, 2019

Combining Text and Image data for Product Recommendability Modeling.

Mark Capelo, Karan Aggarwal, Pranjul Yadav

Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Adversarial Unsupervised Representation Learning for Activity Time-Series.

Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Data Mining Techniques for Social Networks Analysis.

Karan Aggarwal, Komal Kapoor, Jaideep Srivastava

Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Temporal Proximity induces Attributes Similarity.

Arun Kumar, Karan Aggarwal, Paul R. Schrater

CoRR, 2018

Sleep Staging by Modeling Sleep Stage Transitions using Deep CRF.

Karan Aggarwal, Swaraj Khadanga, Shafiq R. Joty, Louis Kazaglis, Jaideep Srivastava

CoRR, 2018

A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging.

Karan Aggarwal, Swaraj Khadanga, Shafiq R. Joty, Louis Kazaglis, Jaideep Srivastava

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling.

Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta

Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

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

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

2015

Using machine translation for converting <i>Python</i> <i>2</i> to <i>Python</i> <i>3</i> code.

Karan Aggarwal, Mohammad Salameh, Abram Hindle

PeerJ Prepr., 2015

GreenAdvisor: A tool for analyzing the impact of software evolution on energy consumption.

Karan Aggarwal, Abram Hindle, Eleni Stroulia

Proceedings of the 2015 IEEE International Conference on Software Maintenance and Evolution, 2015

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

Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015

2014

Co-evolution of project documentation and popularity within github.

Karan Aggarwal, Abram Hindle, Eleni Stroulia

Proceedings of the 11th Working Conference on Mining Software Repositories, 2014

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

Proceedings of 24th Annual International Conference on Computer Science and Software Engineering, 2014