Karan Aggarwal

39 papers A* 2A 6Journal 20Unranked 10

Year	Rank	Type	Title / Venue / Authors
2024	A	`conf`	CharmBana: Progressive Responses with Real-Time Internet Search for Knowledge-Powered Conversations. WSDM Revanth Gangi Reddy, Sharath Chandra Etagi Suresh, Hao Bai, Wentao Yao, Mankeerat Sidhu, Karan Aggarwal, Prathamesh Sonawane, ChengXiang Zhai
2024	J	`jnl`	Controlled Automatic Task-Specific Synthetic Data Generation for Hallucination Detection. CoRR Yong Xie, Karan Aggarwal, Aitzaz Ahmad, Stephen Lau
2024	—	`conf`	Efficient Continual Pre-training for Building Domain Specific Large Language Models. ACL (Findings) Yong Xie, Karan Aggarwal, Aitzaz Ahmad
2024	J	`jnl`	Learning from Contrastive Prompts: Automated Optimization and Adaptation. CoRR Mingqi Li, Karan Aggarwal, Yong Xie, Aitzaz Ahmad, Stephen Lau
2023	—	`conf`	ECG-QALM: Entity-Controlled Synthetic Text Generation using Contextual Q&A for NER. ACL (Findings) Karan Aggarwal, Henry Jin, Aitzaz Ahmad
2023	J	`jnl`	Efficient Continual Pre-training for Building Domain Specific Large Language Models. CoRR Yong Xie, Karan Aggarwal, Aitzaz Ahmad
2023	J	`jnl`	Embarrassingly Simple MixUp for Time-series. CoRR Karan Aggarwal, Jaideep Srivastava
2023	J	`jnl`	Energy-efficient polyglot persistence database live migration among heterogeneous clouds. J. Supercomput. Kiranbir Kaur, Salil Bharany, Sumit Badotra, Karan Aggarwal, Anand Nayyar, Sandeep Sharma
2023	J	`jnl`	Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning. CoRR Karan Aggarwal, Jaideep Srivastava
2022	J	`jnl`	A diagnostic testing for people with appendicitis using machine learning techniques. Multim. Tools Appl. Maad M. Mijwil, Karan Aggarwal
2021	J	`jnl`	Markov features based DTCWS algorithm for online image forgery detection using ensemble classifier in the pandemic. Expert Syst. Appl. Rachna Mehta, Karan Aggarwal, Deepika Koundal, Adi Alhudhaif, Kemal Polat
2020	A*	`conf`	Dynamic Clustering with Discrete Time Event Prediction. SIGIR Karan Aggarwal, Georgios Theocharous, Anup B. Rao
2020	J	`jnl`	Optimizing the Linear Fascicle Evaluation Algorithm for Multi-core and Many-core Systems. ACM Trans. Parallel Comput. Karan Aggarwal, Uday Bondhugula
2019	A*	`conf`	Adversarial Unsupervised Representation Learning for Activity Time-Series. AAAI Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava
2019	—	`conf`	Combining Text and Image data for Product Recommendability Modeling. IEEE BigData Mark Capelo, Karan Aggarwal, Pranjul Yadav
2019	—	`conf`	Detection of Cirrhosis Through Ultrasound Imaging. IRICT Karan Aggarwal, Manjit Singh Bhamrah, Hardeep Singh Ryait
2019	J	`jnl`	Detection of cirrhosis through ultrasound imaging by intensity difference technique. EURASIP J. Image Video Process. Karan Aggarwal, Manjit Singh Bhamrah, Hardeep Singh Ryait
2019	A	`conf`	Domain adaptation in display advertising: an application for partner cold-start. RecSys Karan Aggarwal, Pranjul Yadav, S. Sathiya Keerthi
2019	J	`jnl`	Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems. CoRR Karan Aggarwal, Uday Bondhugula, Varsha Sreenivasan, Devarajan Sridharan
2019	A	`conf`	Optimizing the linear fascicle evaluation algorithm for many-core systems. ICS Karan Aggarwal, Uday Bondhugula
2019	J	`jnl`	Regression with Conditional GAN. CoRR Karan Aggarwal, Matthieu Kirchmeyer, Pranjul Yadav, S. Sathiya Keerthi, Patrick Gallinari
2019	—	`conf`	Temporal Proximity Filtering. CHI Extended Abstracts Arun Kumar, Karan Aggarwal, Paul R. Schrater
2019	—	`conf`	Using Clinical Notes with Time Series Data for ICU Management. EMNLP/IJCNLP (1) Swaraj Khadanga, Karan Aggarwal, Shafiq R. Joty, Jaideep Srivastava
2019	J	`jnl`	Using Clinical Notes with Time Series Data for ICU Management. CoRR Swaraj Khadanga, Karan Aggarwal, Shafiq R. Joty, Jaideep Srivastava
2018	—	`conf`	A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging. IEEE BigData Karan Aggarwal, Swaraj Khadanga, Shafiq R. Joty, Louis Kazaglis, Jaideep Srivastava
2018	J	`jnl`	Adversarial Unsupervised Representation Learning for Activity Time-Series. CoRR Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava
2018	—	`ch.`	Data Mining Techniques for Social Networks Analysis. Encyclopedia of Social Network Analysis and Mining. 2nd Ed. Karan Aggarwal, Komal Kapoor, Jaideep Srivastava
2018	J	`jnl`	Sleep Staging by Modeling Sleep Stage Transitions using Deep CRF. CoRR Karan Aggarwal, Swaraj Khadanga, Shafiq R. Joty, Louis Kazaglis, Jaideep Srivastava
2018	J	`jnl`	Temporal Proximity induces Attributes Similarity. CoRR Arun Kumar, Karan Aggarwal, Paul R. Schrater
2018	—	`conf`	Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling. IEEE BigData Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta
2018	J	`jnl`	Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling. CoRR Karan Aggarwal, Onur Atan, Ahmed K. Farahat, Chi Zhang, Kosta Ristovski, Chetan Gupta
2017	J	`jnl`	Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning. CoRR Karan Aggarwal, Shafiq R. Joty, Luis Fernández-Luque, Jaideep Srivastava
2017	J	`jnl`	Detecting duplicate bug reports with software engineering domain knowledge. J. Softw. Evol. Process. Karan Aggarwal, Finbarr Timbers, Tanner Rutgers, Abram Hindle, Eleni Stroulia, Russell Greiner
2015	—	`conf`	A system-call based model of software energy consumption without hardware instrumentation. IGSC Shaiful Alam Chowdhury, Luke N. Kumar, Md. Toukir Imam, Mohomed Shazan Mohomed Jabbar, Varun Sapra, Karan Aggarwal, Abram Hindle, Russell Greiner
2015	A	`conf`	Detecting duplicate bug reports with software engineering domain knowledge. SANER Karan Aggarwal, Tanner Rutgers, Finbarr Timbers, Abram Hindle, Russell Greiner, Eleni Stroulia
2015	A	`conf`	GreenAdvisor: A tool for analyzing the impact of software evolution on energy consumption. ICSME Karan Aggarwal, Abram Hindle, Eleni Stroulia
2015	J	`jnl`	Using machine translation for converting PeerJ Prepr. Karan Aggarwal, Mohammad Salameh, Abram Hindle
2014	A	`conf`	Co-evolution of project documentation and popularity within github. MSR Karan Aggarwal, Abram Hindle, Eleni Stroulia
2014	—	`conf`	The power of system call traces: predicting the software energy consumption impact of changes. CASCON Karan Aggarwal, Chenlei Zhang, Joshua Charles Campbell, Abram Hindle, Eleni Stroulia