| Are Objective Explanatory Evaluation metrics Trustworthy? An Adversarial Analysis P Chowdhury, M Prabhushankar, G AlRegib, M Deriche arXiv preprint arXiv:2406.07820, 2024 | | 2024 |
| Artificial intelligence based vehicle dashboard analysis A Amico, M Prabhushankar US Patent 10,152,641, 2018 | 12 | 2018 |
| Asymmetric Multi-Modal Machine Learning System and Method using Clinical Metadata in Electronic Medical Records G AlRegib, K Kokilepersaud, M Prabhushankar, Y Logan, A Mustafa US Patent App. 18/514,542, 2024 | | 2024 |
| Attention models based on sparse autoencoders for seismic interpretation MA Shafiq, M Prabhushankar, Z Long, H Di, G Alregib AAPG Annual Convention and Exhibition, 2018 | 2 | 2018 |
| Backpropagated gradient representations for anomaly detection G Kwon, M Prabhushankar, D Temel, G AlRegib Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 79 | 2020 |
| Characterizing Missing Information in Deep Networks Using Backpropagated Gradients G Kwon, M Prabhushankar, D Temel, G AlRegib | | 2019 |
| Clinical contrastive learning for biomarker detection K Kokilepersaud, M Prabhushankar, G AlRegib arXiv preprint arXiv:2211.05092, 2022 | 3 | 2022 |
| Clinical trial active learning Z Fowler, KP Kokilepersaud, M Prabhushankar, G AlRegib Proceedings of the 14th ACM International Conference on Bioinformatics …, 2023 | 2 | 2023 |
| Clinically labeled contrastive learning for oct biomarker classification K Kokilepersaud, ST Corona, M Prabhushankar, G AlRegib, C Wykoff IEEE Journal of Biomedical and Health Informatics, 2023 | 9 | 2023 |
| Contrastive explanations in neural networks M Prabhushankar, G Kwon, D Temel, G AlRegib 2020 IEEE International Conference on Image Processing (ICIP), 3289-3293, 2020 | 40 | 2020 |
| Contrastive Reasoning in Neural Networks M Prabhushankar Georgia Institute of Technology, 2021 | | 2021 |
| Counterfactual Gradients-based Quantification of Prediction Trust in Neural Networks M Prabhushankar, G AlRegib arXiv preprint arXiv:2405.13758, 2024 | | 2024 |
| Counterfactual uncertainty for high dimensional tabular dataset P Chowdhury, A Mustafa, M Prabhushankar, G AlRegib SEG International Exposition and Annual Meeting, SEG-2023-3916797, 2023 | | 2023 |
| Cure-or: Challenging unreal and real environments for object recognition D Temel, J Lee, G AlRegib 2018 17th IEEE international conference on machine learning and applications …, 2018 | 109 | 2018 |
| Decal: Deployable clinical active learning Y Logan, M Prabhushankar, G AlRegib arXiv preprint arXiv:2206.10120, 2022 | 6 | 2022 |
| Detecting and Classifying Anomalies in Artificial Intelligence Systems G AlRegib, G Kwon, M Prabhushankar, D Temel US Patent App. 17/633,878, 2022 | 1 | 2022 |
| Distorted representation space characterization through backpropagated gradients G Kwon, M Prabhushankar, D Temel, G AlRegib 2019 IEEE International Conference on Image Processing (ICIP), 2651-2655, 2019 | 18 | 2019 |
| Effective Data Selection for Seismic Interpretation through Disagreement R Benkert, M Prabhushankar, G AlRegib IEEE Transactions on Geoscience and Remote Sensing, 2024 | | 2024 |
| Explaining Explainers: Necessity and Sufficiency in Tabular Data P Chowdhury, M Prabhushankar, G AlRegib NeurIPS 2023 Second Table Representation Learning Workshop, 2023 | 1 | 2023 |
| Explaining Representation Learning with Perceptual Components Y Yarici, K Kokilepersaud, M Prabhushankar, G AlRegib arXiv preprint arXiv:2406.06930, 2024 | | 2024 |
Ghassan AlRegibSchool of Electrical and Computer Engineering, Georgia Tech在 gatech.edu 的电子邮件经过验证
