| Discriminant vector tranformations in neural network classifiers SS Auddy, K Tyagi, S Nguyen, M Manry 2016 International Joint Conference on Neural Networks (IJCNN), 1780-1786, 2016 | 48 | 2016 |
| Partially affine invariant back propagation S Nguyen, K Tyagi, P Kheirkhah, M Manry 2016 International Joint Conference on Neural Networks (IJCNN), 811-818, 2016 | 42 | 2016 |
| Second order training and sizing for the multilayer perceptron K Tyagi, S Nguyen, R Rawat, M Manry Neural Processing Letters 51, 963-991, 2020 | 36 | 2020 |
| Structural adaptation for sparsely connected MLP using Newton's method P Kheirkhah, K Tyagi, S Nguyen, MT Manry 2017 International Joint Conference on Neural Networks (IJCNN), 4467-4473, 2017 | 24 | 2017 |
| Preoperative prediction of lymph node metastasis from clinical DCE MRI of the primary breast tumor using a 4D CNN S Nguyen, D Polat, P Karbasi, D Moser, L Wang, K Hulsey, ... Medical Image Computing and Computer Assisted Intervention–MICCAI 2020: 23rd …, 2020 | 21 | 2020 |
| Balanced gradient training of feed forward networks S Nguyen, MT Manry Neural Processing Letters 53 (3), 1823-1844, 2021 | 1 | 2021 |
| Affine invariance in multilayer perceptron training SN Nguyen | 1 | 2019 |
| Machine Learning Prediction of Lymph Node Metastasis in Breast Cancer: Performance of a Multi-institutional MRI-based 4D Convolutional Neural Network DS Polat, S Nguyen, P Karbasi, K Hulsey, MC Cobanoglu, L Wang, ... Radiology: Imaging Cancer 6 (3), e230107, 2024 | | 2024 |
| Fairness-enhancing mixed effects deep learning improves fairness on in-and out-of-distribution clustered (non-iid) data A Wang, S Nguyen, A Montillo arXiv preprint arXiv:2310.03146, 2023 | | 2023 |
Michael T ManryProfessor of Electrical Engineering, University of Texas at ArlingtonVerified email at uta.edu
