Jaganmohan Chandrasekaran

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 15

Top Topics

Test Generation

Fault Localization

Mining Algorithm

Machine Learning

Top Venues

Publications

D. Richard Kuhn, Mohammad S. Raunak, Raghu N. Kacker, Jaganmohan Chandrasekaran, Erin Lanus, Tyler Cody, Laura J. Freeman
Assured Autonomy Through Combinatorial Methods. Computer 57 (5) (2024)
Krishna Khadka, Jaganmohan Chandrasekaran, Yu Lei, Raghu N. Kacker, D. Richard Kuhn
A Combinatorial Approach to Hyperparameter Optimization. CAIN (2024)
Padmaksha Roy, Jaganmohan Chandrasekaran, Erin Lanus, Laura J. Freeman, Jeremy Werner
A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning. CoRR (2023)
Krishna Khadka, Jaganmohan Chandrasekaran, Yu Lei, Raghu N. Kacker, D. Richard Kuhn
Synthetic Data Generation Using Combinatorial Testing and Variational Autoencoder. ICSTW (2023)
Jaganmohan Chandrasekaran, Tyler Cody, Nicola McCarthy, Erin Lanus, Laura J. Freeman
Test & Evaluation Best Practices for Machine Learning-Enabled Systems. CoRR (2023)
Sunny Shree, Jaganmohan Chandrasekaran, Yu Lei, Raghu N. Kacker, D. Richard Kuhn
DeltaExplainer: A Software Debugging Approach to Generating Counterfactual Explanations. AITest (2022)
Ankita Ramjibhai Patel, Jaganmohan Chandrasekaran, Yu Lei, Raghu N. Kacker, D. Richard Kuhn
A Combinatorial Approach to Fairness Testing of Machine Learning Models. ICST Workshops (2022)
Jaganmohan Chandrasekaran, Feras A. Batarseh, Laura J. Freeman, Raghu Kacker, Mohammad S. Raunak, Rick Kuhn
Enabling AI Adoption through Assurance. FLAIRS (2022)
Jaganmohan Chandrasekaran, Yu Lei, Raghu Kacker, D. Richard Kuhn
A Combinatorial Approach to Explaining Image Classifiers. ICST Workshops (2021)
Jaganmohan Chandrasekaran, Ankita Ramjibhai Patel, Yu Lei, Raghu Kacker, D. Richard Kuhn
Evaluation of T-Way Testing of DNNs in Autonomous Driving Systems. AITest (2021)
Jaganmohan Chandrasekaran, Yu Lei, Raghu Kacker, D. Richard Kuhn
A Combinatorial Approach to Testing Deep Neural Network-based Autonomous Driving Systems. ICST Workshops (2021)
Jaganmohan Chandrasekaran, Huadong Feng, Yu Lei, Raghu Kacker, D. Richard Kuhn
Effectiveness of dataset reduction in testing machine learning algorithms. AITest (2020)
Huadong Feng, Jaganmohan Chandrasekaran, Yu Lei, Raghu Kacker, D. Richard Kuhn
A Method-Level Test Generation Framework for Debugging Big Data Applications. IEEE BigData (2018)
Jaganmohan Chandrasekaran, Huadong Feng, Yu Lei, D. Richard Kuhn, Raghu Kacker
Applying Combinatorial Testing to Data Mining Algorithms. ICST Workshops (2017)
Jaganmohan Chandrasekaran, Laleh S. Ghandehari, Yu Lei, Raghu Kacker, D. Richard Kuhn
Evaluating the Effectiveness of BEN in Localizing Different Types of Software Fault. ICST Workshops (2016)
Laleh Shikh Gholamhossein Ghandehari, Jaganmohan Chandrasekaran, Yu Lei, Raghu Kacker, D. Richard Kuhn
BEN: A combinatorial testing-based fault localization tool. ICST Workshops (2015)