A review on explainability in multimodal deep neural nets GJRWK Kotecha IEEE Access 9, 2021 | 138 | 2021 |
Machine learning for cognitive behavioral analysis: datasets, methods, paradigms, and research directions P Bhatt, A Sethi, V Tasgaonkar, J Shroff, I Pendharkar, A Desai, P Sinha, ... Brain informatics 10 (1), 18, 2023 | 11 | 2023 |
Explainable misinformation detection across multiple social media platforms G Joshi, A Srivastava, B Yagnik, M Hasan, Z Saiyed, LA Gabralla, ... IEEE Access 11, 23634-23646, 2023 | 10 | 2023 |
Anomaly Extraction Using Association Rule Mining G Joshi Proc. 2014 IJERA 4, 88-92, 2014 | 5 | 2014 |
Employing Co-learning to evaluate the Explainability of multimodal sentiment analysis DK Jain, A Rahate, G Joshi, R Walambe, K Kotecha IEEE Transactions on Computational Social Systems, 2022 | 3 | 2022 |
Department of computer Engineering Dr G Joshi DY Patil College of Engineering Of Pune, Ambi, Pune–410506,” Anomaly …, 0 | 2 | |
Anomaly Extraction and Mitigation using Efficient-Web Miner Algorithm G Joshi, AK Bongale International Journal of Computer Applications 975, 8887, 2014 | 1 | 2014 |
Fault Detection Of Imbalanced Data Using Incremental Clustering B Tambe, A Chougule, S Khandare, G Joshi International Research Journal of Engineering and Technology (IRJET) 4 (1 …, 2017 | | 2017 |
Semi Supervised Text Classification with Universum MG Joshi | | |
Anomaly Extraction Using Efficient-Web Miner Algorithm G Joshi, A Bongale | | |
Thesis-Multimodal Explainability in Deep Neural Nets GB Joshi Pune, 0 | | |