| 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 | 27 | 2020 |
| Including multi-feature interactions and redundancy for feature ranking in mixed datasets AK Shekar, T Bocklisch, PI Sánchez, CN Straehle, E Müller Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 12 | 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 28 (1), 1040-1050, 2021 | 10 | 2021 |
| 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 | 10 | 2021 |
| Selection of relevant and non-redundant multivariate ordinal patterns for time series classification AK Shekar, M Pappik, P Iglesias Sánchez, E Müller Discovery Science: 21st International Conference, DS 2018, Limassol, Cyprus …, 2018 | 5 | 2018 |
| Building robust prediction models for defective sensor data using artificial neural networks CR de Sá, AK Shekar, H Ferreira, C Soares 14th International Conference on Soft Computing Models in Industrial and …, 2020 | 3 | 2020 |
| Diverse selection of feature subsets for ensemble regression AK Shekar, PI Sánchez, E Müller Big Data Analytics and Knowledge Discovery: 19th International Conference …, 2017 | 3 | 2017 |
| Visual Concept Programming: A Visual Analytics Approach to Injecting Human Intelligence at Scale MN Hoque, W He, AK Shekar, L Gou, L Ren IEEE Transactions on Visualization and Computer Graphics 29 (1), 74-83, 2022 | 2 | 2022 |
| Self-supervised semantic segmentation grounded in visual concepts W He, W Surmeier, AK Shekar, L Gou, L Ren arXiv preprint arXiv:2203.13868, 2022 | 1 | 2022 |
| 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 | 1 | 2018 |
| Framework for exploring and understanding multivariate correlations L Kirsch, N Riekenbrauck, D Thevessen, M Pappik, A Stebner, J Kunze, ... Machine Learning and Knowledge Discovery in Databases: European Conference …, 2017 | 1 | 2017 |
| Providing proactiveness: Data analysis techniques portfolios A Sillitti, JF Anakabe, J Basurko, P Dam, H Ferreira, S Ferreiro, J Gijsbers, ... The MANTIS Book, 145-238, 2022 | | 2022 |
| Novelty-based Generalization Evaluation for Traffic Light Detection AK Shekar, L Lake, L Gou, L Ren 2021 20th IEEE International Conference on Machine Learning and Applications …, 2021 | | 2021 |
| Multivariate Correlation Analysis for Supervised Feature Selection in High-Dimensional Data AK Shekar Rheinische Friedrich-Wilhelms-Universität Bonn, 2020 | | 2020 |
| Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks C Rebelo de Sá, AK Shekar, H Ferreira, C Soares Springer, 2019 | | 2019 |
| The MANTIS book: Cyber physical system based proactive collaborative maintenance A Sillitti, JF Anakabe, J Basurko, P Dam, H Ferreira, S Ferreiro, J Gijsbers, ... The MANTIS Book: Cyber Physical System Based Proactive Collaborative Maintenance, 2018 | | 2018 |
| 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 | | |
Liu RenVP and Chief Scientist, Bosch Research North AmericaVerified email at us.bosch.com
