Arvind Kumar Shekar
Orcid: 0000-0002-5853-5310
According to our database1,
Arvind Kumar Shekar
authored at least 13 papers
between 2017 and 2023.
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Bibliography
2023
Visual Concept Programming: A Visual Analytics Approach to Injecting Human Intelligence at Scale.
IEEE Trans. Vis. Comput. Graph., 2023
2022
Where Can We Help? A Visual Analytics Approach to Diagnosing and Improving Semantic Segmentation of Movable Objects.
IEEE Trans. Vis. Comput. Graph., 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
2021
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection.
IEEE Trans. Vis. Comput. Graph., 2021
Label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications.
Int. J. Comput. Vis., 2021
Proceedings of the 20th IEEE International Conference on Machine Learning and Applications, 2021
2020
Multivariate Correlation Analysis for Supervised Feature Selection in High-Dimensional Data
PhD thesis, 2020
2019
Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks.
Proceedings of the 14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019), 2019
2018
Building robust prediction models for defective sensor data using Artificial Neural Networks.
CoRR, 2018
Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification.
Proceedings of the Discovery Science - 21st International Conference, 2018
2017
Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed Datasets.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017