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ORCIDVarun Aggarwal
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2020 – today
- 2024
[c27]Shreyansh Gupta, Abhishek Unnam, Kuldeep Yadav, Varun Aggarwal:
Towards Building a Language-Independent Speech Scoring Assessment. AAAI 2024: 23200-23206- 2023
- [c26]Kuldeep Yadav
, Animesh Seemendra, Abhishek Singhania, Sagar Bora, Pratyaksh Dubey, Varun Aggarwal:
Interviewing the Interviewer: AI-generated Insights to Help Conduct Candidate-centric Interviews. IUI 2023: 723-736 - 2022
- [j6]Aanis Ahmad, Varun Aggarwal, Dharmendra Saraswat, Aly El Gamal, Gurmukh Johal:
GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery. Remote. Sens. 14(17): 4140 (2022) - [i5]Varun Aggarwal, Aanis Ahmad, Aaron Etienne, Dharmendra Saraswat:
4Weed Dataset: Annotated Imagery Weeds Dataset. CoRR abs/2204.00080 (2022) - 2021
- [j5]Aanis Ahmad, Dharmendra Saraswat, Varun Aggarwal, Aaron Etienne, Benjamin Hancock:
Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems. Comput. Electron. Agric. 184: 106081 (2021) - [j4]Aaron Etienne, Aanis Ahmad, Varun Aggarwal, Dharmendra Saraswat:
Deep Learning-Based Object Detection System for Identifying Weeds Using UAS Imagery. Remote. Sens. 13(24): 5182 (2021) - 2020
- [i4]Abhishek Singhania, Abhishek Unnam, Varun Aggarwal:
Grading video interviews with fairness considerations. CoRR abs/2007.05461 (2020)
2010 – 2019
- 2019
- [j3]Shashank Srikant, Rohit Takhar, Vishal Venugopal, Varun Aggarwal:
Skill evaluation. Commun. ACM 62(11): 60-61 (2019) - [c25]Rohit Takhar, Varun Aggarwal:
Grading Uncompilable Programs. AAAI 2019: 9389-9396 - [c24]Abhishek Unnam, Rohit Takhar, Varun Aggarwal:
Grading emails and generating feedback. EDM 2019 - [p1]Gaurav Gandhi, Varun Aggarwal, Leon O. Chua:
The Detectors Used in the First Radios were Memristors. Handbook of Memristor Networks 2019: 231-245 - 2017
- [c23]Shashank Srikant, Varun Aggarwal:
Introducing Data Science to School Kids. SIGCSE 2017: 561-566 - 2016
- [c22]Varun Aggarwal, Shashank Srikant, Harsh Nisar:
AMEO 2015: A dataset comprising AMCAT test scores, biodata details and employment outcomes of job seekers. CODS 2016: 27:1-27:2 - [c21]Bhanu Pratap Singh, Varun Aggarwal:
An Automated Test of Motor Skills for Job Selection and Feedback. EDM 2016: 694-699 - [c20]Bhanu Pratap Singh, Varun Aggarwal:
Apps to measure motor skills of vocational workers. UbiComp 2016: 340-350 - [c19]Gursimran Singh, Shashank Srikant, Varun Aggarwal:
Question Independent Grading using Machine Learning: The Case of Computer Program Grading. KDD 2016: 263-272 - 2015
- [c18]Vinay Shashidhar, Nishant Pandey, Varun Aggarwal:
Automatic Spontaneous Speech Grading: A Novel Feature Derivation Technique using the Crowd. ACL (1) 2015: 1085-1094 - [c17]Vinay Shashidhar, Nishant Pandey, Varun Aggarwal:
Spoken English Grading: Machine Learning with Crowd Intelligence. KDD 2015: 2089-2097 - 2014
- [j2]Maneesha Gupta, Bhavesh Relan, Richa Yadav, Varun Aggarwal:
Wideband digital integrators and differentiators designed using particle swarm optimisation. IET Signal Process. 8(6): 668-679 (2014) - [c16]Gaurav Gandhi, Varun Aggarwal, Leon O. Chua:
Coherer is the elusive memristor. ISCAS 2014: 2245-2248 - [c15]Shashank Srikant, Varun Aggarwal:
A system to grade computer programming skills using machine learning. KDD 2014: 1887-1896 - 2013
- [c14]Shashank Srikant, Varun Aggarwal:
Automatic Grading of Computer Programs: A Machine Learning Approach. ICMLA (1) 2013: 85-92 - 2011
- [c13]Abhinav Malhotra, Varun Aggarwal:
HIER-HEIR: an evolutionary system with hierarchical representation & contextual operators applied to fashion design. GECCO (Companion) 2011: 215-216 - 2010
- [c12]Abhinav Malhotra, Varun Aggarwal:
HIER-HEIR: An Evolutionary System with Hierarchical Representation and Operators Applied to Fashion Design. SEAL 2010: 205-214 - [e1]Kalyanmoy Deb, Arnab Bhattacharya, Nirupam Chakraborti, Partha Chakroborty, Swagatam Das, Joydeep Dutta, Santosh K. Gupta, Ashu Jain, Varun Aggarwal, Jürgen Branke, Sushil J. Louis, Kay Chen Tan:
Simulated Evolution and Learning - 8th International Conference, SEAL 2010, Kanpur, India, December 1-4, 2010. Proceedings. Lecture Notes in Computer Science 6457, Springer 2010, ISBN 978-3-642-17297-7 [contents]
2000 – 2009
- 2007
- [c11]Varun Aggarwal, Una-May O'Reilly:
Simulation-based reusable posynomial models for MOS transistor parameters. DATE 2007: 69-74 - [c10]Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard, Wonsik Kim:
Genetic Representations for Evolutionary Minimization of Network Coding Resources. EvoWorkshops 2007: 21-31 - [c9]Varun Aggarwal, Una-May O'Reilly:
COSMO: a correlation sensitive mutation operator for multi-objective optimization. GECCO 2007: 741-748 - [c8]Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard:
A doubly distributed genetic algorithm for network coding. GECCO 2007: 1272-1279 - [c7]Minkyu Kim, Muriel Médard, Varun Aggarwal, Una-May O'Reilly, Wonsik Kim, Chang Wook Ahn, Michelle Effros:
Evolutionary Approaches To Minimizing Network Coding Resources. INFOCOM 2007: 1991-1999 - [c6]Varun Aggarwal, Karl Berggren, Una-May O'Reilly:
On the "Evolvable Hardware" Approach to Electronic Design Invention. WEAH 2007: 46-54 - [i3]Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard:
A Doubly Distributed Genetic Algorithm for Network Coding. CoRR abs/0704.1198 (2007) - [i2]Minkyu Kim, Muriel Médard, Varun Aggarwal, Una-May O'Reilly, Wonsik Kim, Chang Wook Ahn, Michelle Effros:
Evolutionary Approaches to Minimizing Network Coding Resources. CoRR abs/cs/0702037 (2007) - [i1]Minkyu Kim, Varun Aggarwal, Una-May O'Reilly, Muriel Médard, Wonsik Kim:
Genetic Representations for Evolutionary Minimization of Network Coding Resources. CoRR abs/cs/0702038 (2007) - 2006
- [j1]Tomas Ohlson, Varun Aggarwal, Arne Elofsson, Robert M. MacCallum:
Improved alignment quality by combining evolutionary information, predicted secondary structure and self-organizing maps. BMC Bioinform. 7: 357 (2006) - [c5]Varun Aggarwal, Meng Mao, Una-May O'Reilly:
A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller. AHS 2006: 12-19 - [c4]Michael A. Terry, Jonathan Marcus, Matthew Farrell, Varun Aggarwal, Una-May O'Reilly:
GRACE: Generative Robust Analog Circuit Exploration. EvoWorkshops 2006: 332-343 - [c3]Varun Aggarwal, Wesley O. Jin, Una-May O'Reilly:
Filter approximation using explicit time and frequency domain specifications. GECCO 2006: 753-760 - 2004
- [c2]Varun Aggarwal, Robert M. MacCallum:
Evolved Matrix Operations for Post-processing Protein Secondary Structure Predictions. EuroGP 2004: 220-229 - 2003
- [c1]Varun Aggarwal:
Evolving Sinusoidal Oscillators Using Genetic Algorithms. Evolvable Hardware 2003: 67-76
Coauthor Index
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