Interpretability Analysis of Convolutional Neural Networks for Crack Detection

Jie Wu / Yongjin He / Chengyu Xu et al. | DOAJ | 2023

Explainable multi-step heating load forecasting: Using SHAP values and temporal attention mechanisms for enhanced interpretability

Alexander Neubauer / Stefan Brandt / Martin Kriegel | DOAJ | 2025

Enriched and Discriminative Human Features for Person Re-Identification Based on Explainable Behaviors of Convolutional Neural Networks

Wong, Peter Kok-Yiu / Luo, Han / Wang, Mingzhu et al. | Springer Verlag | 2020

Enriched and Discriminative Human Features for Person Re-Identification Based on Explainable Behaviors of Convolutional Neural Networks

Wong, Peter Kok-Yiu / Luo, Han / Wang, Mingzhu et al. | TIBKAT | 2021

Utilizing hybrid modeling to improve interpretability of nonparametric process models

Sturm, J. / Eiden, F. | Wiley | 2020