Michael T. Manry

89 papers B 29C 2Misc 13Journal 41Unranked 4

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Making Sigmoid-MSE Great Again: Output Reset Challenges Softmax Cross-Entropy in Neural Network Classification. CoRR Kanishka Tyagi, Chinmay Rane, Ketaki Vaidya, Jeshwanth Challagundla, Soumitro Swapan Auddy, Michael T. Manry
2024	—	`conf`	Multiple Gain Adaptations for Improved Neural Networks Training. CCWC Jeshwanth Challagundla, Kanishka Tyagi, Tushar Chugh, Michael T. Manry
2024	J	`jnl`	Optimizing performance of feedforward and convolutional neural networks through dynamic activation functions. Evol. Intell. Chinmay Rane, Kanishka Tyagi, Adrienne Kline, Tushar Chugh, Michael T. Manry
2023	J	`jnl`	Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network. CoRR Chinmay Rane, Kanishka Tyagi, Sanjeev S. Malalur, Yash Shinge, Michael T. Manry
2023	J	`jnl`	Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions. CoRR Chinmay Rane, Kanishka Tyagi, Michael T. Manry
2021	J	`jnl`	Balanced Gradient Training of Feed Forward Networks. Neural Process. Lett. Son Nguyen, Michael T. Manry
2021	J	`jnl`	Multistage Newton's Approach for Training Radial Basis Function Neural Networks. SN Comput. Sci. Kanishka Tyagi, Chinmay Rane, Bito Irie, Michael T. Manry
2020	J	`jnl`	Efficient Machine Learning Approach for Optimizing the Timing Resolution of a High Purity Germanium Detector. CoRR Randall W. Gladen, Varghese A. Chirayath, Alexander J. Fairchild, Michael T. Manry, Ali R. Koymen, Alex H. Weiss
2020	J	`jnl`	Second Order Training and Sizing for the Multilayer Perceptron. Neural Process. Lett. Kanishka Tyagi, Son Nguyen, Rohit Rawat, Michael T. Manry
2019	J	`jnl`	Multi-step Training of a Generalized Linear Classifier. Neural Process. Lett. Kanishka Tyagi, Michael T. Manry
2017	J	`jnl`	Properties of a Batch Training Algorithm for Feedforward Networks. Neural Process. Lett. Melvin Deloyd Robinson, Michael T. Manry, Sanjeev S. Malalur, Changhua Yu
2017	J	`jnl`	Second Order Training of a Smoothed Piecewise Linear Network. Neural Process. Lett. Rohit Rawat, Michael T. Manry
2017	B	`conf`	Structural adaptation for sparsely connected MLP using Newton's method. IJCNN Parastoo Kheirkhah, Kanishka Tyagi, Son Nguyen, Michael T. Manry
2016	B	`conf`	Discriminant vector tranformations in neural network classifiers. IJCNN Soumitro Swapan Auddy, Kanishka Tyagi, Son Nguyen, Michael T. Manry
2016	B	`conf`	Partially affine invariant back propagation. IJCNN Son Nguyen, Kanishka Tyagi, Parastoo Kheirkhah, Michael T. Manry
2016	B	`conf`	Second order design of multiclass kernel machines. IJCNN Yilong Hao, Kanishka Tyagi, Rohit Rawat, Michael T. Manry
2015	J	`jnl`	Multiple optimal learning factors for the multi-layer perceptron. Neurocomputing Sanjeev S. Malalur, Michael T. Manry, Praveen Jesudhas
2014	B	`conf`	An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network. IJCNN Xun Cai, Kanishka Tyagi, Michael T. Manry, Zhi Chen
2014	C	`conf`	Multi-variable Neural Network Forecasting Using Two Stage Feature Selection. ICMLA Rohit Rawat, Kunal Vora, Michael T. Manry, Gautam Eapi
2014	C	`conf`	Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L ICPRAM Kanishka Tyagi, Nojun Kwak, Michael T. Manry
2013	B	`conf`	Minimizing validation error with respect to network size and number of training epochs. IJCNN Rohit Rawat, Jignesh K. Patel, Michael T. Manry
2013	B	`conf`	Neural decision directed segmentation of silicon defects. IJCNN Aditi S. Godbole, Kanishka Tyagi, Michael T. Manry
2013	B	`conf`	Partially affine invariant training using dense transform matrices. IJCNN Melvin Deloyd Robinson, Michael T. Manry
2011	B	`conf`	An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation. IJCNN Xun Cai, Kanishka Tyagi, Michael T. Manry
2011	B	`conf`	Analysis and improvement of multiple optimal learning factors for feed-forward networks. IJCNN Praveen Jesudhas, Michael T. Manry, Rohit Rawat, Sanjeev S. Malalur
2011	B	`conf`	Fuzzy C-means clustering based construction and training for second order RBF network. FUZZ-IEEE Kanishka Tyagi, Xun Cai, Michael T. Manry
2011	B	`conf`	Optimal output gain algorithm for feed-forward network training. IJCNN Babu Hemanth Kumar Aswathappa, Michael T. Manry, Rohit Rawat
2011	B	`conf`	Training multilayer perceptron by using optimal input normalization. FUZZ-IEEE Xun Cai, Kanishka Tyagi, Michael T. Manry
2009	B	`conf`	Feed-forward network training using optimal input gains. IJCNN Sanjeev S. Malalur, Michael T. Manry
2008	J	`jnl`	An integrated growing-pruning method for feedforward network training. Neurocomputing Pramod Lakshmi Narasimha, Walter H. Delashmit, Michael T. Manry, Jiang Li, Francisco J. Maldonado
2008	Misc	`conf`	Small Models of Large Machines. FLAIRS Pramod Lakshmi Narasimha, Sanjeev S. Malalur, Michael T. Manry
2008	J	`jnl`	Upper bound on pattern storage in feedforward networks. Neurocomputing Pramod Lakshmi Narasimha, Michael T. Manry, Francisco J. Maldonado
2007	B	`conf`	A Functional Link Network With Ordered Basis Functions. IJCNN Saurabh Sureka, Michael T. Manry
2007	B	`conf`	A Piecewise Linear Network Classifier. IJCNN A. A. Abdurrab, Michael T. Manry, Jiang Li, Sanjeev S. Malalur, R. G. Gore
2007	J	`jnl`	Convergent design of piecewise linear neural networks. Neurocomputing Hema Chandrasekaran, Jiang Li, Walter H. Delashmit, Pramod Lakshmi Narasimha, Changhua Yu, Michael T. Manry
2007	B	`conf`	Upper Bound on Pattern Storage in Feedforward Networks. IJCNN Pramod Lakshmi Narasimha, Michael T. Manry, Francisco J. Maldonado
2006	—	`conf`	A new method to detect obstructive sleep apnea using fuzzy classification of time-frequency plots of the heart rate variability. EMBC (Supplement) Mohammad A. Al-Abed, Khosrow Behbehani, John R. Burk, Edgar A. Lucas, Michael T. Manry
2006	J	`jnl`	An Efficient Feature Selection Algorithm for Computer-aided Polyp Detection. Int. J. Artif. Intell. Tools Jiang Li, Jianhua Yao, Ronald M. Summers, Nicholas Petrick, Michael T. Manry, Amy K. Hara
2006	J	`jnl`	An efficient hidden layer training method for the multilayer perceptron. Neurocomputing Changhua Yu, Michael T. Manry, Jiang Li, Pramod Lakshmi Narasimha
2006	Misc	`conf`	Fast Generation of a Sequence of Trained and Validated Feed-Forward Networks. FLAIRS Pramod Lakshmi Narasimha, Walter H. Delashmit, Michael T. Manry, Jiang Li, Francisco J. Maldonado
2006	J	`jnl`	Feature Selection Using a Piecewise Linear Network. IEEE Trans. Neural Networks Jiang Li, Michael T. Manry, Pramod Lakshmi Narasimha, Changhua Yu
2005	J	`jnl`	Effects Of Nonsingular Preprocessing On Feedforward Network Training. Int. J. Pattern Recognit. Artif. Intell. Changhua Yu, Michael T. Manry, Jiang Li
2005	J	`jnl`	Iterative Design of Neural Network Classifiers Through Regression. Int. J. Artif. Intell. Tools R. G. Gore, Jiang Li, Michael T. Manry, Li-min Liu, Changhua Yu, John Wei
2005	Misc	`conf`	Nonlinear Network Time-Series Forecasting Using Redundancy Reduction. FLAIRS Pramod Lakshmi Narasimha, Michael T. Manry, Changhua Yu
2005	J	`jnl`	Prototype Classifier Design with Pruning. Int. J. Artif. Intell. Tools Jiang Li, Michael T. Manry, Changhua Yu, D. Randall Wilson
2005	Misc	`conf`	Sensitivity of Nonlinear Network Training to Affine Transformed Inputs. FLAIRS Changhua Yu, Michael T. Manry, Pramod Lakshmi Narasimha
2004	B	`conf`	A nonlinear filtering approach for demodulation over Rician flat fading channels. GLOBECOM Jiang Li, Qilian Liang, Michael T. Manry
2004	B	`conf`	Co-channel interference suppression with model simplification in TDMA systems. PIMRC Jiang Li, Qilian Liang, Michael T. Manry
2004	—	`conf`	Demodulation for wireless ATM network using modified SOM network. ICASSP (5) Jiang Li, Qilian Liang, Michael T. Manry
2004	Misc	`conf`	Hidden Layer Training via Hessian Matrix Information. FLAIRS Changhua Yu, Michael T. Manry, Jiang Li
2004	Misc	`conf`	Invariance of MLP Training to Input Feature De-correlation. FLAIRS Changhua Yu, Michael T. Manry, Jiang Li
2004	Misc	`conf`	Iterative Improvement of Neural Classifiers. FLAIRS Jiang Li, Michael T. Manry, Li-min Liu, Changhua Yu, John Wei
2004	Misc	`conf`	Prototype Based Classifier Design with Pruning. FLAIRS Jiang Li, Michael T. Manry, Changhua Yu
2003	—	`conf`	A Pseudogenetic Algorithm for MLP Design based upon the Schmidt Procedure. Neural Networks and Computational Intelligence Francisco J. Maldonado, Michael T. Manry
2003	B	`conf`	A semiblind demodulator aided by protocols for wireless ATM network. PIMRC Jiang Li, Qilian Liang, Michael T. Manry, Tae-Hoon Kim
2003	B	`conf`	Adaptive channel equalization for satellite communications with multipath based on unsupervised learning algorithm. PIMRC Jiang Li, Qilian Liang, Michael T. Manry
2003	B	`conf`	Finding optimal neural network basis function subsets using the Schmidt procedure. IJCNN Francisco J. Maldonado, Michael T. Manry, Tae-Hoon Kim
2003	B	`conf`	New learning factor and testing methods for conjugate gradient training algorithm. IJCNN Tae Kim, Michael T. Manry, Javier Maldonado
2000	J	`jnl`	LMS learning algorithms: misconceptions and new results on converence. IEEE Trans. Neural Networks Learn. Syst. Zi-Qin Wang, Michael T. Manry, Jeffrey L. Schiano
2000	J	`jnl`	Pruning of basis functions in nonlinear approximators. Neurocomputing Hema Chandrasekaran, Hung-Han Chen, Michael T. Manry
1999	J	`jnl`	A neural network training algorithm utilizing multiple sets of linear equations. Neurocomputing Hung-Han Chen, Michael T. Manry, Hema Chandrasekaran
1999	B	`conf`	Convergent design of a piecewise linear neural network. IJCNN Hema Chandrasekaran, Michael T. Manry
1999	B	`conf`	Iterative Improvement of trigonometric networks. IJCNN Iyab I. Sakhnini, Michael T. Manry, Hema Chandrasekaran
1998	B	`conf`	Calculation of Cramer Rao maximum a posteriori lower bounds from training data. SMC Cheng-Hsiung Hsieh, Michael T. Manry, Ting-Cheng Chang
1997	J	`jnl`	A robust statistical-based estimator for soil moisture retrieval from radar measurements. IEEE Trans. Geosci. Remote. Sens. Michael S. Dawson, Adrian K. Fung, Michael T. Manry
1996	J	`jnl`	Minimum mean square estimation and neural networks. Neurocomputing Michael T. Manry, Steven J. Apollo, Qiang Yu
1995	J	`jnl`	Comparisons of a neural network and a nearest-neighbor classifier via the numeric handprint recognition problem. IEEE Trans. Neural Networks William E. Weideman, Michael T. Manry, Hung-Chun Yau, Wei Gong
1995	Misc	`conf`	Stochastic Cramer Rao bounds for non-Gaussian signals and parameters. ICASSP Weibo Liang, Michael T. Manry, Qiang Yu, Michael S. Dawson, Adrian K. Fung
1993	J	`jnl`	Classification-based segmentation of ZIP codes. IEEE Trans. Syst. Man Cybern. Yousuf Saifullah, Michael T. Manry
1993	J	`jnl`	Conventional modeling of the multilayer perceptron using polynomial basis functions. IEEE Trans. Neural Networks Mu-Song Chen, Michael T. Manry
1993	J	`jnl`	Progressive image transmission. IEEE Trans. Circuits Syst. Video Technol. Wei Gong, K. R. Rao, Michael T. Manry
1992	J	`jnl`	Automatic determination of reject thresholds in classifiers employing discriminant functions. IEEE Trans. Signal Process. Hung-Chun Yau, Michael T. Manry
1992	J	`jnl`	Neural subnet design by direct polynomial mapping. IEEE Trans. Neural Networks Kamyar Rohani, Mu-Song Chen, Michael T. Manry
1992	Misc	`conf`	Nonlinear neural network filters for image processing. ICASSP Kamyar Rohani, Michael T. Manry
1992	J	`jnl`	Progressive image transmission using a self-supervised back-propagation neural network. J. Electronic Imaging Wei Gong, K. R. Rao, Michael T. Manry
1992	J	`jnl`	Recursive approximation of the energy spectral density. IEEE Trans. Signal Process. Lars A. Anderson, Hung-Chun Yau, Michael T. Manry
1991	J	`jnl`	Iterative improvement of a nearest neighbor classifier. Neural Networks Hung-Chun Yau, Michael T. Manry
1990	J	`jnl`	A frequency domain weighting function approach to extrapolation. IEEE Trans. Acoust. Speech Signal Process. Phillip J. Thompson, Michael T. Manry
1990	B	`conf`	Backpropagation representation theorem using power series. IJCNN Mu-Song Chen, Michael T. Manry
1990	J	`jnl`	Iterative improvement of a Gaussian classifier. Neural Networks Hung-Chun Yau, Michael T. Manry
1990	B	`conf`	Sigma-pi implementation of a Gaussian classifier. IJCNN Hung-Chau Yau, Michael T. Manry
1990	B	`conf`	Sigma-pi implementation of a nearest neighbor classifier. IJCNN Hung-Chun Yau, Michael T. Manry
1989	J	`jnl`	A new signal averaging algorithm for discrete signals. IEEE Trans. Acoust. Speech Signal Process. Chun-Chau Lin, Michael T. Manry
1989	J	`jnl`	Phase improvement in IIR digital filters. IEEE Trans. Acoust. Speech Signal Process. Songqing Shi, Michael T. Manry
1988	Misc	`conf`	An efficient, noise tolerant, linear extrapolator. ICASSP Phillip J. Thompson, Michael T. Manry
1988	J	`jnl`	Taylor series approximation of the energy spectral density. IEEE Trans. Acoust. Speech Signal Process. Rashid Zia Khan, Lars A. Anderson, Michael T. Manry
1987	Misc	`conf`	Parameter estimation using the autocorrelation of the discrete Fourier transform. ICASSP Michael T. Manry, C. T. Huddleston
1986	J	`jnl`	Efficient calculation of signal and noise variances. IEEE Trans. Acoust. Speech Signal Process. Hsien-Chiang Lue, Michael T. Manry
1984	Misc	`conf`	Parameter estimation algorithms utilizing implicit phase. ICASSP Michael T. Manry