Smooth maximum unit: Smooth activation function for deep networks using smoothing maximum technique K Biswas, S Kumar, S Banerjee, AK Pandey Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 71* | 2022 |
Modulational instability in a full‐dispersion shallow water model VM Hur, AK Pandey Studies in Applied Mathematics 142 (1), 3-47, 2019 | 53 | 2019 |
Modulational instability in nonlinear nonlocal equations of regularized long wave type VM Hur, AK Pandey Physica D: Nonlinear Phenomena 325, 98-112, 2016 | 26 | 2016 |
TanhSoft—dynamic trainable activation functions for faster learning and better performance K Biswas, S Kumar, S Banerjee, AK Pandey IEEE Access 9, 120613-120623, 2021 | 24* | 2021 |
Neo-bedside monitoring device for integrated neonatal intensive care unit (iNICU) H Singh, R Kaur, A Gangadharan, AK Pandey, A Manur, Y Sun, S Saluja, ... IEEE Access 7, 7803-7813, 2018 | 18 | 2018 |
Erfact and pserf: Non-monotonic smooth trainable activation functions K Biswas, S Kumar, S Banerjee, AK Pandey Proceedings of the AAAI Conference on Artificial Intelligence 36 (6), 6097-6105, 2022 | 15 | 2022 |
The effects of surface tension on modulational instability in full-dispersion water-wave models AK Pandey European Journal of Mechanics-B/Fluids 77, 177-182, 2019 | 13* | 2019 |
Development of data dictionary for neonatal intensive care unit: advancement towards a better critical care unit H Singh, R Kaur, S Saluja, SJ Cho, A Kaur, AK Pandey, S Gupta, R Das, ... JAMIA open 3 (1), 21-30, 2020 | 11 | 2020 |
Designing a bed-side system for predicting length of stay in a neonatal intensive care unit H Singh, SJ Cho, S Gupta, R Kaur, S Sunidhi, S Saluja, AK Pandey, ... Scientific reports 11 (1), 3342, 2021 | 10 | 2021 |
EIS - Efficient and Trainable Activation Functions for Better Accuracy and Performance K Biswas, S Kumar, S Banerjee, AK Pandey 30th International Conference on Artificial Neural Networks, ICANN2021, 2021 | 9 | 2021 |
SAU: Smooth activation function using convolution with approximate identities K Biswas, S Kumar, S Banerjee, A Kumar Pandey European Conference on Computer Vision, 313-329, 2022 | 8 | 2022 |
Modulational instability in the full-dispersion Camassa–Holm equation VM Hur, AK Pandey Proceedings of the Royal Society A: Mathematical, Physical and Engineering …, 2017 | 8 | 2017 |
Prediction of Landfall Intensity, Location, and Time of a Tropical Cyclone S Kumar, K Biswas, AK Pandey Proceedings of the AAAI Conference on Artificial Intelligence 35 (17), 14831 …, 2021 | 7 | 2021 |
Assessment of erectile dysfunction and other sexual dysfunction in men with type 2 diabetes mellitus: A multicenter observational study in North India M Gupta, A Tiwari, KP Chandra, R Awasthi, S Chaudhary, N Gupta, ... Clinical Epidemiology and Global Health 18, 101136, 2022 | 6 | 2022 |
Intensity prediction of tropical cyclones using long short-term memory network K Biswas, S Kumar, AK Pandey arXiv preprint arXiv:2107.03187, 2021 | 6 | 2021 |
Track prediction of tropical cyclones using long short-term memory network S Kumar, K Biswas, AK Pandey 2021 IEEE 11th Annual Computing and Communication Workshop and Conference …, 2021 | 6 | 2021 |
Machine learning-based automatic classification of video recorded neonatal manipulations and associated physiological parameters: a feasibility study H Singh, S Kusuda, RM McAdams, S Gupta, J Kalra, R Kaur, R Das, ... Children 8 (1), 1, 2020 | 6 | 2020 |
Orthogonal-Pad\'e Activation Functions: Trainable Activation functions for smooth and faster convergence in deep networks K Biswas, S Banerjee, AK Pandey arXiv preprint arXiv:2106.09693, 2021 | 5 | 2021 |
Tropical cyclone intensity estimations over the Indian ocean using machine learning K Biswas, S Kumar, AK Pandey arXiv preprint arXiv:2107.05573, 2021 | 4 | 2021 |
Predicting Landfall's Location and Time of a Tropical Cyclone Using Reanalysis Data S Kumar, K Biswas, AK Pandey 30th International Conference on Artificial Neural Networks, ICANN2021, 2021 | 4 | 2021 |