Evolving Sinusoidal Oscillators Using Genetic Algorithms. - Varun Aggarwal (Evolvable Hardware, 2003)

Evolved Matrix Operations for Post-processing Protein Secondary Structure Predictions. - Varun Aggarwal; Robert M. MacCallum (EuroGP, 2004)

A Self-Tuning Analog Proportional-Integral-Derivative (PID) Controller. - Varun Aggarwal; Meng Mao; Una-May O'Reilly (AHS, 2006)

GRACE: Generative Robust Analog Circuit Exploration. - Michael A. Terry; Jonathan Marcus; Matthew Farrell; Varun Aggarwal; Una-May O'Reilly (EvoWorkshops, 2006)

Filter approximation using explicit time and frequency domain specifications. - Varun Aggarwal; Wesley O. Jin; Una-May O'Reilly (GECCO, 2006)

Improved alignment quality by combining evolutionary information, predicted secondary structure and self-organizing maps. - Tomas Ohlson; Varun Aggarwal; Arne Elofsson; Robert M. MacCallum (BMC Bioinform., 2006)

Simulation-based reusable posynomial models for MOS transistor parameters. - Varun Aggarwal; Una-May O'Reilly (DATE, 2007)

Genetic Representations for Evolutionary Minimization of Network Coding Resources. - Minkyu Kim 002; Varun Aggarwal; Una-May O'Reilly; Muriel Médard; Wonsik Kim (EvoWorkshops, 2007)

COSMO: a correlation sensitive mutation operator for multi-objective optimization. - Varun Aggarwal; Una-May O'Reilly (GECCO, 2007)

A doubly distributed genetic algorithm for network coding. - Minkyu Kim 002; Varun Aggarwal; Una-May O'Reilly; Muriel Médard (GECCO, 2007)

Evolutionary Approaches To Minimizing Network Coding Resources. - Minkyu Kim 002; Muriel Médard; Varun Aggarwal; Una-May O'Reilly; Wonsik Kim; Chang Wook Ahn; Michelle Effros (INFOCOM, 2007)

On the "Evolvable Hardware" Approach to Electronic Design Invention. - Varun Aggarwal; Karl Berggren; Una-May O'Reilly (WEAH, 2007)

HIER-HEIR: An Evolutionary System with Hierarchical Representation and Operators Applied to Fashion Design. - Abhinav Malhotra; Varun Aggarwal (SEAL, 2010)

HIER-HEIR: an evolutionary system with hierarchical representation & contextual operators applied to fashion design. - Abhinav Malhotra; Varun Aggarwal (GECCO (Companion), 2011)

Automatic Grading of Computer Programs: A Machine Learning Approach. - Shashank Srikant; Varun Aggarwal (ICMLA (1), 2013)

Coherer is the elusive memristor. - Gaurav Gandhi; Varun Aggarwal; Leon O. Chua (ISCAS, 2014)

A system to grade computer programming skills using machine learning. - Shashank Srikant; Varun Aggarwal (KDD, 2014)

Wideband digital integrators and differentiators designed using particle swarm optimisation. - Maneesha Gupta; Bhavesh Relan; Richa Yadav; Varun Aggarwal (IET Signal Process., 2014)

Automatic Spontaneous Speech Grading: A Novel Feature Derivation Technique using the Crowd. - Vinay Shashidhar; Nishant Pandey; Varun Aggarwal (ACL (1), 2015)

Spoken English Grading: Machine Learning with Crowd Intelligence. - Vinay Shashidhar; Nishant Pandey; Varun Aggarwal (KDD, 2015)

AMEO 2015: A dataset comprising AMCAT test scores, biodata details and employment outcomes of job seekers. - Varun Aggarwal; Shashank Srikant; Harsh Nisar (CODS, 2016)

An Automated Test of Motor Skills for Job Selection and Feedback. - Bhanu Pratap Singh; Varun Aggarwal (EDM, 2016)

Apps to measure motor skills of vocational workers. - Bhanu Pratap Singh; Varun Aggarwal (UbiComp, 2016)

Question Independent Grading using Machine Learning: The Case of Computer Program Grading. - Gursimran Singh; Shashank Srikant; Varun Aggarwal (KDD, 2016)

Introducing Data Science to School Kids. - Shashank Srikant; Varun Aggarwal (SIGCSE, 2017)

The Detectors Used in the First Radios were Memristors. - Gaurav Gandhi; Varun Aggarwal; Leon O. Chua (Handbook of Memristor Networks, 2019)

Grading Uncompilable Programs. - Rohit Takhar; Varun Aggarwal (AAAI, 2019)

Grading emails and generating feedback. - Abhishek Unnam; Rohit Takhar; Varun Aggarwal (EDM, 2019)

Skill evaluation. - Shashank Srikant; Rohit Takhar; Vishal Venugopal; Varun Aggarwal (Commun. ACM, 2019)

Grading video interviews with fairness considerations. - Abhishek Singhania; Abhishek Unnam; Varun Aggarwal (CoRR, 2020)

Performance of deep learning models for classifying and detecting common weeds in corn and soybean production systems. - Aanis Ahmad; Dharmendra Saraswat; Varun Aggarwal; Aaron Etienne; Benjamin Hancock (Comput. Electron. Agric., 2021)

Deep Learning-Based Object Detection System for Identifying Weeds Using UAS Imagery. - Aaron Etienne; Aanis Ahmad; Varun Aggarwal; Dharmendra Saraswat (Remote. Sens., 2021)

4Weed Dataset: Annotated Imagery Weeds Dataset. - Varun Aggarwal; Aanis Ahmad; Aaron Etienne; Dharmendra Saraswat (CoRR, 2022)

GeoDLS: A Deep Learning-Based Corn Disease Tracking and Location System Using RTK Geolocated UAS Imagery. - Aanis Ahmad; Varun Aggarwal; Dharmendra Saraswat; Aly El Gamal; Gurmukh Johal (Remote. Sens., 2022)

Interviewing the Interviewer: AI-generated Insights to Help Conduct Candidate-centric Interviews. - Kuldeep Yadav; Animesh Seemendra; Abhishek Singhania; Sagar Bora; Pratyaksh Dubey; Varun Aggarwal (IUI, 2023)

Towards Building a Language-Independent Speech Scoring Assessment. - Shreyansh Gupta; Abhishek Unnam; Kuldeep Yadav; Varun Aggarwal (AAAI, 2024)