Karan Aggarwal

According to our database1, Karan Aggarwal authored at least 25 papers between 2014 and 2021.

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Bibliography

2021
Markov features based DTCWS algorithm for online image forgery detection using ensemble classifier in the pandemic.
Expert Syst. Appl., 2021

2020
Optimizing the Linear Fascicle Evaluation Algorithm for Multi-core and Many-core Systems.
ACM Trans. Parallel Comput., 2020

Dynamic Clustering with Discrete Time Event Prediction.
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.
EURASIP J. Image Video Process., 2019

Regression with Conditional GAN.
CoRR, 2019

Optimizing the Linear Fascicle Evaluation Algorithm for Multi-Core and Many-Core Systems.
CoRR, 2019

Domain adaptation in display advertising: an application for partner cold-start.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Detection of Cirrhosis Through Ultrasound Imaging.
Proceedings of the Emerging Trends in Intelligent Computing and Informatics, 2019

Optimizing the linear fascicle evaluation algorithm for many-core systems.
Proceedings of the ACM International Conference on Supercomputing, 2019

Using Clinical Notes with Time Series Data for ICU Management.
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.
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.
Proceedings of the 2019 IEEE International Conference on Big Data (Big Data), 2019

Adversarial Unsupervised Representation Learning for Activity Time-Series.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Data Mining Techniques for Social Networks Analysis.
Proceedings of the Encyclopedia of Social Network Analysis and Mining, 2nd Edition, 2018

Temporal Proximity induces Attributes Similarity.
CoRR, 2018

Sleep Staging by Modeling Sleep Stage Transitions using Deep CRF.
CoRR, 2018

A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging.
Proceedings of the IEEE International Conference on Big Data, 2018

Two Birds with One Network: Unifying Failure Event Prediction and Time-to-failure Modeling.
Proceedings of the IEEE International Conference on Big Data, 2018

2017
Detecting duplicate bug reports with software engineering domain knowledge.
J. Softw. Evol. Process., 2017

Co-Morbidity Exploration on Wearables Activity Data Using Unsupervised Pre-training and Multi-Task Learning.
CoRR, 2017

2015
Using machine translation for converting <i>Python</i> <i>2</i> to <i>Python</i> <i>3</i> code.
PeerJ Prepr., 2015

GreenAdvisor: A tool for analyzing the impact of software evolution on energy consumption.
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.
Proceedings of the Sixth International Green and Sustainable Computing Conference, 2015

2014
Co-evolution of project documentation and popularity within github.
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.
Proceedings of 24th Annual International Conference on Computer Science and Software Engineering, 2014


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