| 2017 | IJCNN | Structural adaptation for sparsely connected MLP using Newton's method. | Parastoo Kheirkhah, Kanishka Tyagi, Son Nguyen, Michael T. Manry |
| 2016 | IJCNN | Discriminant vector tranformations in neural network classifiers. | Soumitro Swapan Auddy, Kanishka Tyagi, Son Nguyen, Michael T. Manry |
| 2016 | IJCNN | Second order design of multiclass kernel machines. | Yilong Hao, Kanishka Tyagi, Rohit Rawat, Michael T. Manry |
| 2016 | IJCNN | Partially affine invariant back propagation. | Son Nguyen, Kanishka Tyagi, Parastoo Kheirkhah, Michael T. Manry |
| 2014 | ICMLA | Multi-variable Neural Network Forecasting Using Two Stage Feature Selection. | Rohit Rawat, Kunal Vora, Michael T. Manry, Gautam Eapi |
| 2014 | IJCNN | An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network. | Xun Cai, Kanishka Tyagi, Michael T. Manry, Zhi Chen |
| 2014 | ICPRAM | Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L | Kanishka Tyagi, Nojun Kwak, Michael T. Manry |
| 2013 | IJCNN | Neural decision directed segmentation of silicon defects. | Aditi S. Godbole, Kanishka Tyagi, Michael T. Manry |
| 2013 | IJCNN | Minimizing validation error with respect to network size and number of training epochs. | Rohit Rawat, Jignesh K. Patel, Michael T. Manry |
| 2013 | IJCNN | Partially affine invariant training using dense transform matrices. | Melvin Deloyd Robinson, Michael T. Manry |
| 2011 | IJCNN | Optimal output gain algorithm for feed-forward network training. | Babu Hemanth Kumar Aswathappa, Michael T. Manry, Rohit Rawat |
| 2011 | IJCNN | An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation. | Xun Cai, Kanishka Tyagi, Michael T. Manry |
| 2011 | IJCNN | Analysis and improvement of multiple optimal learning factors for feed-forward networks. | Praveen Jesudhas, Michael T. Manry, Rohit Rawat, Sanjeev S. Malalur |
| 2009 | IJCNN | Feed-forward network training using optimal input gains. | Sanjeev S. Malalur, Michael T. Manry |
| 2008 | FlAIRS | Small Models of Large Machines. | Pramod Lakshmi Narasimha, Sanjeev S. Malalur, Michael T. Manry |
| 2007 | IJCNN | A Piecewise Linear Network Classifier. | A. A. Abdurrab, Michael T. Manry, Jiang Li, Sanjeev S. Malalur, R. G. Gore |
| 2007 | IJCNN | Upper Bound on Pattern Storage in Feedforward Networks. | Pramod Lakshmi Narasimha, Michael T. Manry, Francisco J. Maldonado |
| 2007 | IJCNN | A Functional Link Network With Ordered Basis Functions. | Saurabh Sureka, Michael T. Manry |
| 2006 | FlAIRS | Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks. | Pramod Lakshmi Narasimha, Walter H. Delashmit, Michael T. Manry, Jiang Li, Francisco J. Maldonado |
| 2005 | FlAIRS | Nonlinear Network Time-Series Forecasting Using Redundancy Reduction. | Pramod Lakshmi Narasimha, Michael T. Manry, Changhua Yu |
| 2005 | FlAIRS | Sensitivity of Nonlinear Network Training to Affine Transformed Inputs. | Changhua Yu, Michael T. Manry, Pramod Lakshmi Narasimha |
| 2004 | FlAIRS | Iterative Improvement of Neural Classifiers. | Jiang Li, Michael T. Manry, Li-min Liu, Changhua Yu, John Wei |
| 2004 | FlAIRS | Prototype Based Classifier Design with Pruning. | Jiang Li, Michael T. Manry, Changhua Yu |
| 2004 | FlAIRS | Invariance of MLP Training to Input Feature De-correlation. | Changhua Yu, Michael T. Manry, Jiang Li |
| 2004 | FlAIRS | Hidden Layer Training via Hessian Matrix Information. | Changhua Yu, Michael T. Manry, Jiang Li |
| 2004 | GLOBECOM | A nonlinear filtering approach for demodulation over Rician flat fading channels. | Jiang Li, Qilian Liang, Michael T. Manry |
| 2004 | ICASSP | Demodulation for wireless ATM network using modified SOM network. | Jiang Li, Qilian Liang, Michael T. Manry |
| 2004 | PIMRC | Co-channel interference suppression with model simplification in TDMA systems. | Jiang Li, Qilian Liang, Michael T. Manry |
| 2003 | IJCNN | New learning factor and testing methods for conjugate gradient training algorithm. | Tae Kim, Michael T. Manry, Javier Maldonado |
| 2003 | IJCNN | Finding optimal neural network basis function subsets using the Schmidt procedure. | Francisco J. Maldonado, Michael T. Manry, Tae-Hoon Kim |
| 2003 | PIMRC | Adaptive channel equalization for satellite communications with multipath based on unsupervised learning algorithm. | Jiang Li, Qilian Liang, Michael T. Manry |
| 2003 | PIMRC | A semiblind demodulator aided by protocols for wireless ATM network. | Jiang Li, Qilian Liang, Michael T. Manry, Tae-Hoon Kim |
| 1999 | IJCNN | Convergent design of a piecewise linear neural network. | Hema Chandrasekaran, Michael T. Manry |
| 1999 | IJCNN | Iterative Improvement of trigonometric networks. | Iyab I. Sakhnini, Michael T. Manry, Hema Chandrasekaran |
| 1998 | SMC | Calculation of Cramer Rao maximum a posteriori lower bounds from training data. | Cheng-Hsiung Hsieh, Michael T. Manry, Ting-Cheng Chang |
| 1995 | ICASSP | Stochastic Cramer Rao bounds for non-Gaussian signals and parameters. | Weibo Liang, Michael T. Manry, Qiang Yu, Michael S. Dawson, Adrian K. Fung |
| 1992 | ICASSP | Nonlinear neural network filters for image processing. | Kamyar Rohani, Michael T. Manry |
| 1990 | IJCNN | Backpropagation representation theorem using power series. | Mu-Song Chen, Michael T. Manry |
| 1990 | IJCNN | Sigma-pi implementation of a nearest neighbor classifier. | Hung-Chun Yau, Michael T. Manry |
| 1990 | IJCNN | Sigma-pi implementation of a Gaussian classifier. | Hung-Chau Yau, Michael T. Manry |
| 1988 | ICASSP | An efficient, noise tolerant, linear extrapolator. | Phillip J. Thompson, Michael T. Manry |
| 1987 | ICASSP | Parameter estimation using the autocorrelation of the discrete Fourier transform. | Michael T. Manry, C. T. Huddleston |
| 1984 | ICASSP | Parameter estimation algorithms utilizing implicit phase. | Michael T. Manry |