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Anirban Santara
Anirban Santara
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Cited by
Year
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
1642016
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
1532017
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
782015
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
332021
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
232017
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
212021
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
112021
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
72016
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
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
42023
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
42022
Extra: Transfer-guided exploration
A Santara, R Madan, B Ravindran, P Mitra
arXiv preprint arXiv:1906.11785, 2019
42019
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
22021
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
22019
WEPSAM: Weakly pre-learnt saliency model
A Lahiri, S Roy, A Santara, P Mitra, PK Biswas
arXiv preprint arXiv:1605.01101, 2016
22016
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
12014
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
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