| Automated software vulnerability detection with machine learning JA Harer, LY Kim, RL Russell, O Ozdemir, LR Kosta, A Rangamani, ... arXiv preprint arXiv:1803.04497, 2018 | 210 | 2018 |
| Deep learning-based target tracking and classification for low quality videos using coded aperture cameras C Kwan, B Chou, J Yang, A Rangamani, T Tran, J Zhang, ... Sensors 19 (17), 3702, 2019 | 37 | 2019 |
| Dynamics in Deep Classifiers trained with the Square Loss: normalization, low rank, neural collapse and generalization bounds M Xu, A Rangamani, Q Liao, T Galanti, T Poggio Research, 2023 | 35* | 2023 |
| Real-time and deep learning based vehicle detection and classification using pixel-wise code exposure measurements C Kwan, D Gribben, B Chou, B Budavari, J Larkin, A Rangamani, T Tran, ... Electronics 9 (6), 1014, 2020 | 31 | 2020 |
| A scale invariant flatness measure for deep network minima A Rangamani, NH Nguyen, A Kumar, D Phan, SH Chin, TD Tran arXiv preprint arXiv:1902.02434, 2019 | 30* | 2019 |
| Sparse coding and autoencoders A Rangamani, A Mukherjee, A Basu, A Arora, T Ganapathi, S Chin, ... 2018 IEEE International Symposium on Information Theory (ISIT), 36-40, 2018 | 28* | 2018 |
| Feature learning in deep classifiers through intermediate neural collapse A Rangamani, M Lindegaard, T Galanti, TA Poggio International Conference on Machine Learning, 28729-28745, 2023 | 25 | 2023 |
| Target tracking and classification using compressive sensing camera for SWIR videos C Kwan, B Chou, J Yang, A Rangamani, T Tran, J Zhang, ... Signal, Image and Video Processing 13 (8), 1629-1637, 2019 | 23 | 2019 |
| Target tracking and classification using compressive measurements of MWIR and LWIR coded aperture cameras C Kwan, B Chou, J Yang, A Rangamani, T Tran, J Zhang, ... Journal of Signal and Information Processing 10 (3), 73-95, 2019 | 22 | 2019 |
| Neural collapse in deep homogeneous classifiers and the role of weight decay A Rangamani, A Banburski-Fahey ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 19 | 2022 |
| Detection and confirmation of multiple human targets using pixel-wise code aperture measurements C Kwan, D Gribben, A Rangamani, T Tran, J Zhang, R Etienne-Cummings Journal of Imaging 6 (6), 40, 2020 | 19 | 2020 |
| Neural-guided, bidirectional program search for abstraction and reasoning S Alford, A Gandhi, A Rangamani, A Banburski, T Wang, S Dandekar, ... Complex Networks & Their Applications X: Volume 1, Proceedings of the Tenth …, 2022 | 15 | 2022 |
| Predicting local field potentials with recurrent neural networks L Kim, J Harer, A Rangamani, J Moran, PD Parks, A Widge, E Eskandar, ... 2016 38th Annual International Conference of the IEEE Engineering in …, 2016 | 9 | 2016 |
| Spectral gap extrapolation and radio frequency interference suppression using 1D UNets AA Nair, A Rangamani, LH Nguyen, MAL Bell, TD Tran 2021 IEEE Radar Conference (RadarConf21), 1-6, 2021 | 8 | 2021 |
| Chief: A change pattern based interpretable failure analyzer D Patel, LM Nguyen, A Rangamani, S Shrivastava, J Kalagnanam 2018 IEEE International Conference on Big Data (Big Data), 1978-1985, 2018 | 7 | 2018 |
| Automated software vulnerability detection with machine learning.(2018) JA Harer, LY Kim, RL Russell, O Ozdemir, LR Kosta, A Rangamani, ... arXiv preprint cs.SE/1803.04497, 2018 | 7 | 2018 |
| Automated software vulnerability detection with machine learning. CoRR abs/1803.04497 (2018) JA Harer, LY Kim, RL Russell, O Ozdemir, LR Kosta, A Rangamani, ... | 7 | 1803 |
| Automated software vulnerability detection with machine learning. arXiv 2018 JA Harer, LY Kim, RL Russell, O Ozdemir, LR Kosta, A Rangamani, ... arXiv preprint arXiv:1803.04497, 0 | 7 | |
| For interpolating kernel machines, minimizing the norm of the erm solution minimizes stability A Rangamani, L Rosasco, T Poggio arXiv preprint arXiv:2006.15522, 2020 | 6 | 2020 |
| Reconstruction-free deep convolutional neural networks for partially observed images A Nair, L Liu, A Rangamani, P Chin, MAL Bell, TD Tran 2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018 | 5 | 2018 |
Sang Peter ChinProfessor, Dartmouth Engineering在 dartmouth.edu 的电子邮件经过验证
