Diverse Selection of Feature Subsets for Ensemble Regression. - Arvind Kumar Shekar; Patricia Iglesias Sánchez; Emmanuel Müller (DaWaK, 2017)

Framework for Exploring and Understanding Multivariate Correlations. - Louis Kirsch; Niklas Riekenbrauck; Daniel Thevessen; Marcus Pappik; Axel Stebner; Julius Kunze; Alexander Meissner; Arvind Kumar Shekar; Emmanuel Müller (ECML/PKDD (3), 2017)

Including Multi-feature Interactions and Redundancy for Feature Ranking in Mixed Datasets. - Arvind Kumar Shekar; Tom Bocklisch; Patricia Iglesias Sánchez; Christoph Nikolas Straehle; Emmanuel Müller (ECML/PKDD (1), 2017)

Selection of Relevant and Non-Redundant Multivariate Ordinal Patterns for Time Series Classification. - Arvind Kumar Shekar; Marcus Pappik; Patricia Iglesias Sánchez; Emmanuel Müller (DS, 2018)

Building robust prediction models for defective sensor data using Artificial Neural Networks. - Arvind Kumar Shekar; Cláudio Rebelo de Sá; Hugo Ferreira 004; Carlos Soares (CoRR, 2018)

Building Robust Prediction Models for Defective Sensor Data Using Artificial Neural Networks. - Cláudio Rebelo de Sá; Arvind Kumar Shekar; Hugo M. Ferreira; Carlos Soares (SOCO, 2019)

Multivariate Correlation Analysis for Supervised Feature Selection in High-Dimensional Data - Arvind Kumar Shekar (2020)

Novelty-based Generalization Evaluation for Traffic Light Detection. - Arvind Kumar Shekar; Laureen Lake; Liang Gou; Liu Ren (ICMLA, 2021)

Label-Free Robustness Estimation of Object Detection CNNs for Autonomous Driving Applications. - Arvind Kumar Shekar; Liang Gou; Liu Ren; Axel Wendt (Int. J. Comput. Vis., 2021)

VATLD: A Visual Analytics System to Assess, Understand and Improve Traffic Light Detection. - Liang Gou; Lincan Zou; Nanxiang Li; Michael Hofmann 010; Arvind Kumar Shekar; Axel Wendt; Liu Ren (IEEE Trans. Vis. Comput. Graph., 2021)

Self-supervised Semantic Segmentation Grounded in Visual Concepts. - Wenbin He; William Surmeier; Arvind Kumar Shekar; Liang Gou; Liu Ren (IJCAI, 2022)

Where Can We Help? A Visual Analytics Approach to Diagnosing and Improving Semantic Segmentation of Movable Objects. - Wenbin He; Lincan Zou; Arvind Kumar Shekar; Liang Gou; Liu Ren (IEEE Trans. Vis. Comput. Graph., 2022)

Visual Concept Programming: A Visual Analytics Approach to Injecting Human Intelligence at Scale. - Md. Naimul Hoque; Wenbin He; Arvind Kumar Shekar; Liang Gou; Liu Ren (IEEE Trans. Vis. Comput. Graph., 2023)

VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis. - Xinyuan Yan; Xiwei Xuan; Jorge Piazentin Ono; Jiajing Guo; Vikram Mohanty; Arvind Kumar Shekar; Liang Gou; Bei Wang 001; Liu Ren (Comput. Graph. Forum, 2025)

VISLIX: An XAI Framework for Validating Vision Models with Slice Discovery and Analysis. - Xinyuan Yan; Xiwei Xuan; Jorge Piazentin Ono; Jiajing Guo; Vikram Mohanty; Arvind Kumar Shekar; Liang Gou; Bei Wang 001; Liu Ren (CoRR, 2025)