Nisha Pillai

Orcid: 0000-0002-2275-6998

According to our database1, Nisha Pillai authored at least 16 papers between 2018 and 2024.

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Bibliography

2024
A Survey on Privacy Attacks Against Digital Twin Systems in AI-Robotics.
CoRR, 2024

Bayesian-Guided Generation of Synthetic Microbiomes with Minimized Pathogenicity.
CoRR, 2024

Towards Interpreting Multi-Objective Feature Associations.
CoRR, 2024

Deep Sensitivity Analysis for Objective-Oriented Combinatorial Optimization.
CoRR, 2024

Security Considerations in AI-Robotics: A Survey of Current Methods, Challenges, and Opportunities.
IEEE Access, 2024

Towards Interpreting Multi-Objective Feature Associations.
Proceedings of the IEEE International Systems Conference, 2024

EndToEndML: An Open-Source End-to-End Pipeline for Machine Learning Applications.
Proceedings of the 7th International Conference on Information and Computer Technologies, 2024

2023
No-boundary thinking for artificial intelligence in bioinformatics and education.
Frontiers Bioinform., May, 2023

URA*: Uncertainty-aware Path Planning using Image-based Aerial-to-Ground Traversability Estimation for Off-road Environments.
CoRR, 2023

Towards Optimal Microbiome to Inhibit Multidrug Resistance.
Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2023

2021
Neural Variational Learning for Grounded Language Acquisition.
Proceedings of the 30th IEEE International Conference on Robot & Human Interactive Communication, 2021

Cyber-Physical System Security Surveillance using Knowledge Graph based Digital Twins - A Smart Farming Usecase.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2021

Measuring Perceptual and Linguistic Complexity in Multilingual Grounded Language Data.
Proceedings of the Thirty-Fourth International Florida Artificial Intelligence Research Society Conference, 2021

2020
Sampling Approach Matters: Active Learning for Robotic Language Acquisition.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Building Language-Agnostic Grounded Language Learning Systems.
Proceedings of the 28th IEEE International Conference on Robot and Human Interactive Communication, 2019

2018
Unsupervised Selection of Negative Examples for Grounded Language Learning.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018


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