Ensemble of deep convolutional neural networks for learning to detect retinal vessels in fundus images D Maji, A Santara, P Mitra, D Sheet arXiv preprint arXiv:1603.04833, 2016 | 166 | 2016 |
BASS net: Band-adaptive spectral-spatial feature learning neural network for hyperspectral image classification A Santara, K Mani, P Hatwar, A Singh, A Garg, K Padia, P Mitra IEEE Transactions on Geoscience and Remote Sensing 55 (9), 5293-5301, 2017 | 156 | 2017 |
Deep neural network and random forest hybrid architecture for learning to detect retinal vessels in fundus images D Maji, A Santara, S Ghosh, D Sheet, P Mitra 2015 37th annual international conference of the IEEE Engineering in …, 2015 | 80 | 2015 |
Prediction of the Indian summer monsoon using a stacked autoencoder and ensemble regression model M Saha, A Santara, P Mitra, A Chakraborty, RS Nanjundiah International Journal of Forecasting 37 (1), 58-71, 2021 | 34 | 2021 |
Madras: Multi agent driving simulator A Santara, S Rudra, SA Buridi, M Kaushik, A Naik, B Kaul, B Ravindran Journal of Artificial Intelligence Research 70, 1517-1555, 2021 | 23 | 2021 |
Rail: Risk-averse imitation learning A Santara, A Naik, B Ravindran, D Das, D Mudigere, S Avancha, B Kaul arXiv preprint arXiv:1707.06658, 2017 | 23 | 2017 |
Prediction of properties over the length of the coil during thermo-mechanical processing using DNN I Mohanty, R Banerjee, A Santara, S Kundu, P Mitra Ironmaking & Steelmaking 48 (8), 953-961, 2021 | 11 | 2021 |
Ensemble of deep convolutional neural networks for learning to detect retinal vessels in fundus images. arXiv 2016 D Maji, A Santara, P Mitra, D Sheet arXiv preprint arXiv:1603.04833, 0 | 11 | |
Faster learning of deep stacked autoencoders on multi-core systems using synchronized layer-wise pre-training A Santara, D Maji, DP Tejas, P Mitra, A Gupta arXiv preprint arXiv:1603.02836, 2016 | 9 | 2016 |
Ensemble of deep convolutional neural networks for learning to detect retinal vessels in fundus images. 2016 D Maji, A Santara, P Mitra, D Sheet ArXiv e-print arxiv 1603, 0 | 6 | |
Learning to plan variable length sequences of actions with a cascading bandit click model of user feedback A Santara, G Aggarwal, S Li, C Gentile International Conference on Artificial Intelligence and Statistics, 767-797, 2022 | 4 | 2022 |
Extra: Transfer-guided exploration A Santara, R Madan, B Ravindran, P Mitra arXiv preprint arXiv:1906.11785, 2019 | 4 | 2019 |
A contextual bandit approach for learning to plan in environments with probabilistic goal configurations S Rudra, S Goel, A Santara, C Gentile, L Perron, F Xia, V Sindhwani, ... 2023 IEEE International Conference on Robotics and Automation (ICRA), 5645-5652, 2023 | 3 | 2023 |
Unlocking pixels for reinforcement learning via implicit attention KM Choromanski, D Jain, W Yu, X Song, J Parker-Holder, T Zhang, ... arXiv preprint arXiv:2102.04353, 2021 | 2 | 2021 |
Punch: Positive unlabelled classification based information retrieval in hyperspectral images A Santara, J Datta, S Sarkar, A Garg, K Padia, P Mitra arXiv preprint arXiv:1904.04547, 2019 | 2 | 2019 |
WEPSAM: Weakly pre-learnt saliency model A Lahiri, S Roy, A Santara, P Mitra, PK Biswas arXiv preprint arXiv:1605.01101, 2016 | 2 | 2016 |
Advanced AlGaN/GaN Resonant Tunneling Diode on Silicon Substrate for Negligible Scattering and Polarization effects S Chowdhury, A Santara, P Mukhopadhyay, D Biswas Physics of Semiconductor Devices: 17th International Workshop on the Physics …, 2014 | 1 | 2014 |
GAN-MPC: Training Model Predictive Controllers with Parameterized Cost Functions using Demonstrations from Non-identical Experts R Burnwal, A Santara, NP Bhatt, B Ravindran, G Aggarwal arXiv preprint arXiv:2305.19111, 2023 | | 2023 |
On Learning to Rank Long Sequences with Contextual Bandits A Santara, C Gentile, G Aggarwal, S Li arXiv preprint arXiv:2106.03546, 2021 | | 2021 |
Visualization Regularizers for Neural Network based Image Recognition B Paria, V Reddy, A Santara, P Mitra arXiv preprint arXiv:1604.02646, 2016 | | 2016 |