| Audio signature-based condition monitoring of internal combustion engine using FFT and correlation approach SK Yadav, K Tyagi, B Shah, PK Kalra IEEE Transactions on instrumentation and measurement 60 (4), 1217-1226, 2010 | 91 | 2010 |
| Material sorting using a vision system N Kumar, MG Garcia, K Tyagi US Patent 10,710,119, 2020 | 63 | 2020 |
| Second Order Training Algorithms For Radial Basis Function Neural Networks K Tyagi Department of Electrical Engineering, The University of Texas at Arlington, 2012 | 57 | 2012 |
| Fuzzy C-means clustering based construction and training for second order RBF network K Tyagi, X Cai, MT Manry 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 248-255, 2011 | 54 | 2011 |
| An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation X Cai, K Tyagi, MT Manry The 2011 International Joint Conference on Neural Networks, 3120-3126, 2011 | 51 | 2011 |
| Training multilayer perceptron by using optimal input normalization X Cai, K Tyagi, MT Manry 2011 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2011), 2771-2778, 2011 | 49 | 2011 |
| 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 |
| Optimal Conjugate Gradient algorithm for generalization of Linear Discriminant Analysis based on L1 norm K Tyagi, N Kwak, M Manry International Conference on Pattern Recognition, 2014 | 48 | 2014 |
| An efficient conjugate gradient based learning algorithm for multiple optimal learning factors of multilayer perceptron neural network X Cai, K Tyagi, MT Manry, Z Chen 2014 International Joint Conference on Neural Networks (IJCNN), 1093-1099, 2014 | 46 | 2014 |
| An Efficient Conjugate Gradient based Multiple Optimal Learning Factors Algorithm of Multilayer Perceptron Neural Network MM Xun Cai, Kanishka Tyagi International Joint Conference on Neural Networks, 2014 | 45 | 2014 |
| Neural decision directed segmentation of silicon defects AS Godbole, K Tyagi, MT Manry The 2013 International Joint Conference on Neural Networks (IJCNN), 1-8, 2013 | 45 | 2013 |
| Applications of Deep Learning Network on Audio and Music Problems K Tyagi, K Lee IEEE Computational Intelligence Society Walter Karplus Summer Research Grant …, 2013 | 45 | 2013 |
| 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 design of multiclass kernel machines Y Hao, K Tyagi, R Rawat, M Manry 2016 International Joint Conference on Neural Networks (IJCNN), 3233-3240, 2016 | 41 | 2016 |
| A novel complex-valued counterpropagation network PK Kalra, D Mishra, K Tyagi 2007 IEEE Symposium on Computational Intelligence and Data Mining, 81-87, 2007 | 40 | 2007 |
| MLP-Approximation source code X Cai, K Tyagi IPNN Lab, UT Arlington, Revised on 5, 2010 | 38 | 2010 |
| Second Order Training and Sizing for the Multilayer Perceptron K Tyagi, S Nguyen, R Rawat, M Manry Neural Processing Letters, 1-29, 2019 | 36 | 2019 |
| MIREX 2013: An Efficient Paradigm for Audio Tag Classification Using Sparse Autoencoder and Multi-Kernel SVM IY Jeong, K Tyagi, K Lee | 36 | 2013 |
| A novel complex valued neuron model for landslide assessment K Tyagi, V Jindal, V Kumar Landslides and Engineered Slopes. From the Past to the Future, Two Volumes+ …, 2008 | 36 | 2008 |
| Second Order Newton’s Method for Training Radial Basis Function Neural Networks X Cai, Z Chen, K Tyagi, K Yu, Z Li, B Zhu Journal of Computer Research and Development 52, 0 | 36 | |
Michael T ManryProfessor of Electrical Engineering, University of Texas at ArlingtonVerified email at uta.edu
