| Local characterization of neovascularization and identification of proliferative diabetic retinopathy in retinal fundus images G Gupta, S Kulasekaran, K Ram, N Joshi, M Sivaprakasam, R Gandhi Computerized Medical Imaging and Graphics 55, 124-132, 2017 | 51 | 2017 |
| CRESA: a deep learning approach to competing risks, recurrent event survival analysis G Gupta, V Sunder, R Prasad, G Shroff Advances in Knowledge Discovery and Data Mining: 23rd Pacific-Asia …, 2019 | 21 | 2019 |
| Visual bayesian fusion to navigate a data lake K Singh, K Paneri, A Pandey, G Gupta, G Sharma, P Agarwal, G Shroff 2016 19th International Conference on Information Fusion (FUSION), 987-994, 2016 | 19 | 2016 |
| Camta: Causal attention model for multi-touch attribution S Kumar, G Gupta, R Prasad, A Chatterjee, L Vig, G Shroff 2020 International Conference on Data Mining Workshops (ICDMW), 79-86, 2020 | 16 | 2020 |
| Comparative benchmarking of causal discovery algorithms K Singh, G Gupta, V Tewari, G Shroff Proceedings of the ACM India Joint International Conference on Data Science …, 2018 | 14 | 2018 |
| Metaci: Meta-learning for causal inference in a heterogeneous population A Sharma, G Gupta, R Prasad, A Chatterjee, L Vig, G Shroff arXiv preprint arXiv:1912.03960, 2019 | 13 | 2019 |
| Deep convolutional neural networks for pairwise causality K Singh, G Gupta, L Vig, G Shroff, P Agarwal arXiv preprint arXiv:1701.00597, 2017 | 13 | 2017 |
| Detection of retinal hemorrhages in the presence of blood vessels G Gupta, K Ram, S Kulasekaran, N Joshi, M Sivaprakasam, R Gandhi Proceedings of the Ophthalmic Medical Image Analysis International Workshop …, 2014 | 10 | 2014 |
| Computer-assisted identification of proliferative diabetic retinopathy in color retinal images G Gupta, S Kulasekaran, K Ram, N Joshi, M Sivaprakasam, R Gandhi 2015 37th Annual International Conference of the IEEE Engineering in …, 2015 | 7 | 2015 |
| Multimbnn: Matched and balanced causal inference with neural networks A Sharma, G Gupta, R Prasad, A Chatterjee, L Vig, G Shroff arXiv preprint arXiv:2004.13446, 2020 | 5 | 2020 |
| Visual Predictive Analytics using iFuseML. G Sehgal, M Rawat, B Gupta, G Gupta, G Sharma, G Shroff EuroVA@ EuroVis, 13-17, 2018 | 5 | 2018 |
| Deep survival analysis and counterfactual inference using balanced representations M Gupta, G Kannan, R Prasad, G Gupta ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 2 | 2023 |
| BCQ4DCA: Budget Constrained Deep Q-Network for Dynamic Campaign Allocation in Computational Advertising M Malik, G Gupta, L Vig, G Shroff 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 2 | 2021 |
| Hi-ci: Deep causal inference in high dimensions A Sharma, G Gupta, R Prasad, A Chatterjee, L Vig, G Shroff Proceedings of the 2020 KDD Workshop on Causal Discovery, 39-61, 2020 | 2 | 2020 |
| DRTCI: Learning Disentangled Representations for Temporal Causal Inference G Gupta, L Vig, G Shroff arXiv preprint arXiv:2201.08137, 2022 | | 2022 |
| Automated Product-Attribute Mapping K Singh, G Gupta, G Shroff, P Agarwal Trends and Applications in Knowledge Discovery and Data Mining: PAKDD 2017 …, 2017 | | 2017 |
| Ifuseopt: Predictive-optimization Based Framework For Business Analytics GS Garima Gupta, Gunjan Sehgal , Gautam Shroff INFORMS International Conference, 0 | | |
Gautam ShroffProfessor of Computer Science and EngineeringZweryfikowany adres z iiitd.ac.in