| An explainable artificial intelligence based approach for interpretation of fault classification results from deep neural networks A Bhakte, V Pakkiriswamy, R Srinivasan Chemical Engineering Science 250, 117373, 2022 | 26 | 2022 |
| Alarm-based explanations of process monitoring results from deep neural networks A Bhakte, M Chakane, R Srinivasan Computers & Chemical Engineering 179, 108442, 2023 | 4 | 2023 |
| Gradient-Weighted Class Activation Mapping (Grad-CAM) Based Explanations for Process Monitoring Results from Deep Neural Networks A Bhakte, SV Bairi, R Srinivasan 2021 AICHE Annual Meeting, 2021 | 1 | 2021 |
| Explainable AI methodology for understanding fault detection results during Multi-Mode operations A Bhakte, PK Kumawat, R Srinivasan Chemical Engineering Science 299, 120493, 2024 | | 2024 |
| Enhancing Understanding of MPC Control Actions through Explainable AI Approaches A Pathak, A Bhakte, A Garg, R Srinivasan 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Hybrid Data-Driven Models with Physics-Informed Loss for Process Monitoring and Control D Thosar, A Bhakte, A Rajendran, Z Li, R Srinivasan, V Prasad 2024 AIChE Annual Meeting, 2024 | | 2024 |
| Adaptive Physics-Informed Neural Network for Prediction with Evolving Process Parameters D Thosar, A Bhakte, Z Li, A Rajendran, R Srinivasan, V Prasad Computer Aided Chemical Engineering 53, 3067-3072, 2024 | | 2024 |
| Potential for Counterfactual Explanations to Support Digitalized Plant Operations A Bhakte, R Srinivasan Computer Aided Chemical Engineering 53, 3073-3078, 2024 | | 2024 |
| Enhancing Operator's Trust in AI-Based Process Monitoring Technologies: Providing Explanations for Multi-Mode Processes A Bhakte, PK Kumawat, R Srinivasan 2022 AIChE Annual Meeting, 2022 | | 2022 |
| Decision Template-Based Fusion of Multiple Classifiers for Fault Detection in Chemical Process BS Vasista, A Bhakte, R Srinivasan 2021 AIChE Annual Meeting, 2021 | | 2021 |
