| Integrating deep learning CT-scan model, biological and clinical variables to predict severity of COVID-19 patients N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ... Nature communications 12 (1), 1-11, 2021 | 184 | 2021 |
| An Adversarial Attacker for Neural Networks in Regression Problems. K Gupta, JC Pesquet, B Pesquet-Popescu, F Kaakai, FD Malliaros AISafety@ IJCAI, 2021 | 30 | 2021 |
| Non-destructive method to detect artificially ripened banana using hyperspectral sensing and RGB imaging BS Mithun, S Shinde, K Bhavsar, A Chowdhury, S Mukhopadhyay, ... Sensing for agriculture and food quality and safety X 10665, 122-130, 2018 | 29 | 2018 |
| Lifting 2d human pose to 3d: A weakly supervised approach S Biswas, S Sinha, K Gupta, B Bhowmick 2019 International Joint Conference on Neural Networks (IJCNN), 1-9, 2019 | 16 | 2019 |
| Multivariate lipschitz analysis of the stability of neural networks K Gupta, F Kaakai, B Pesquet-Popescu, JC Pesquet, FD Malliaros Frontiers in Signal Processing 2, 794469, 2022 | 14 | 2022 |
| Motion blur removal via coupled autoencoder K Gupta, B Bhowmick, A Majumdar 2017 IEEE International Conference on Image Processing (ICIP), 480-484, 2017 | 11 | 2017 |
| Stacked robust autoencoder for classification J Mehta, K Gupta, A Gogna, A Majumdar, S Anand Neural Information Processing: 23rd International Conference, ICONIP 2016 …, 2016 | 10 | 2016 |
| A Quantitative Analysis Of The Robustness Of Neural Networks For Tabular Data K Gupta, B Pesquet-Popescu, F Kaakai, JC Pesquet ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 9 | 2021 |
| AI-based multi-modal integration of clinical characteristics, lab tests and chest CTs improves COVID-19 outcome prediction of hospitalized patients N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ... medRxiv, 2020.05. 14.20101972, 2020 | 9 | 2020 |
| Sparsely connected autoencoder K Gupta, A Majumdar 2016 International Joint Conference on Neural Networks (IJCNN), 1940-1947, 2016 | 8 | 2016 |
| Safe design of stable neural networks for fault detection in small UAVs K Gupta, F Kaakai, B Pesquet-Popescu, JC Pesquet International Conference on Computer Safety, Reliability, and Security, 263-275, 2022 | 7 | 2022 |
| Signal denoising using a new class of robust neural networks A Neacsu, K Gupta, JC Pesquet, C Burileanu 2020 28th European Signal Processing Conference (EUSIPCO), 1492-1496, 2021 | 6 | 2021 |
| Systems and methods for solving inverse problems using a coupled autoencoder K Gupta, B Bhowmick, A Majumdar US Patent 10,360,665, 2019 | 5 | 2019 |
| Coupled autoencoder based reconstruction of images from compressively sampled measurements K Gupta, B Bhowmick 2018 26th European Signal Processing Conference (EUSIPCO), 1067-1071, 2018 | 4 | 2018 |
| Imposing class-wise feature similarity in stacked autoencoders by nuclear norm regularization K Gupta, A Majumdar Neural Processing Letters 48 (1), 615-629, 2018 | 4 | 2018 |
| Learning autoencoders with low-rank weights K Gupta, A Majumdar 2017 IEEE International Conference on Image Processing (ICIP), 3899-3903, 2017 | 4 | 2017 |
| CertViT: Certified Robustness of Pre-Trained Vision Transformers K Gupta, S Verma arXiv preprint arXiv:2302.10287, 2023 | 3 | 2023 |
| Aligning Geospatial AI for Disaster Relief with The Sphere Handbook S Verma, S Gupta, K Gupta | 3 | 2022 |
| FloodNet-to-FloodGAN: Generating Flood Scenes in Aerial Images S Goswami, S Verma, K Gupta, S Gupta | 3 | 2022 |
| Integration of clinical characteristics, lab tests and a deep learning CT scan analysis to predict severity of hospitalized COVID-19 patients N Lassau, S Ammari, E Chouzenoux, H Gortais, P Herent, M Devilder, ... MedRxiv, 2020 | 3 | 2020 |
Angshul MajumdarProfessor, TCG CRESTPatvirtintas el. paštas iiitd.ac.in
