Arvind Kumar Shekar
Arvind Kumar Shekar
Data scientist, Bosch GmbH
Verified email at - Homepage
Cited by
Cited by
VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection
L Gou, L Zou, N Li, M Hofmann, AK Shekar, A Wendt, L Ren
IEEE transactions on visualization and computer graphics 27 (2), 261-271, 2020
Including multi-feature interactions and redundancy for feature ranking in mixed datasets
AK Shekar, T Bocklisch, PI Sánchez, CN Straehle, E Müller
Joint European conference on machine learning and knowledge discovery in …, 2017
Selection of relevant and non-redundant multivariate ordinal patterns for time series classification
AK Shekar, M Pappik, PI Sánchez, E Müller
International Conference on Discovery Science, 224-240, 2018
Diverse selection of feature subsets for ensemble regression
AK Shekar, PI Sánchez, E Müller
International Conference on Big Data Analytics and Knowledge Discovery, 259-273, 2017
Building robust prediction models for defective sensor data using artificial neural networks
CR de Sá, AK Shekar, H Ferreira, C Soares
International Workshop on Soft Computing Models in Industrial and …, 2019
Label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications
AK Shekar, L Gou, A Ren, Liu, Wendt
International Journal of Computer Vision, 2021
Building robust prediction models for defective sensor data using Artificial Neural Networks
AK Shekar, CR de Sá, H Ferreira, C Soares
arXiv preprint arXiv:1804.05544, 2018
Framework for exploring and understanding multivariate correlations
L Kirsch, N Riekenbrauck, D Thevessen, M Pappik, A Stebner, J Kunze, ...
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2017
Where Can We Help? A Visual Analytics Approach to Diagnosing and Improving Semantic Segmentation of Movable Objects
W He, L Zou, AK Shekar, L Gou, L Ren
IEEE Transactions on Visualization and Computer Graphics, 2021
Multivariate Correlation Analysis for Supervised Feature Selection in High-Dimensional Data
AK Shekar
Rheinische Friedrich-Wilhelms-Universität Bonn, 2020
Providing proactiveness: Data analysis techniques portfolios
A Sillitti, JF Anakabe, J Basurko, P Dam, H Ferreira, S Ferreiro, J Gijsbers, ...
The MANTIS Book: Cyber Physical System Based Proactive Collaborative …, 2019
2020 IEEE Visualization Conference
L Gou, L Zou, N Li, M Hofmann, AK Shekar, A Wendt, L Ren
Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification-Supplementary Material
AK Shekar, M Pappik, PI Sanchez, E Mueller
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