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Kanishka Tyagi
Kanishka Tyagi
Senior Machine Learning Scientist, Aptiv Corp
mavs.uta.edu의 이메일 확인됨 - 홈페이지
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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
422010
Material sorting using a vision system
N Kumar, MG Garcia, K Tyagi
US Patent 10,710,119, 2020
202020
Second Order Training Algorithms For Radial Basis Function Neural Networks
K Tyagi
Department of Electrical Engineering, The University of Texas at Arlington, 2012
92012
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
92011
Multi-step Training of a Generalized Linear Classifier
K Tyagi, M Manry
Neural Processing Letters 50 (2), 1341-1360, 2019
62019
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
62011
Second Order Training and Sizing for the Multilayer Perceptron
K Tyagi, S Nguyen, R Rawat, M Manry
Neural Processing Letters, 1-29, 2019
52019
Material handling using machine learning system
N Kumar, MG Garcia, K Tyagi
US Patent App. 17/380,928, 2021
42021
Partially affine invariant back propagation
S Nguyen, K Tyagi, P Kheirkhah, M Manry
2016 International Joint Conference on Neural Networks (IJCNN), 811-818, 2016
42016
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
42011
Material handling using machine learning system
N Kumar, MG Garcia, K Tyagi
US Patent App. 17/495,291, 2022
32022
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
32016
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
32016
A novel complex-valued counterpropagation network
PK Kalra, D Mishra, K Tyagi
2007 IEEE Symposium on Computational Intelligence and Data Mining, 81-87, 2007
32007
Automated multistep classifier sizing and training for deep learner
K Tyagi
The University of Texas at Arlington, 2018
22018
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
22017
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
22014
Supervised learning
K Tyagi, C Rane, M Manry
Artificial Intelligence and Machine Learning for EDGE Computing, 3-22, 2022
12022
Regression analysis
K Tyagi, C Rane, Harshvardhan, M Manry
Artificial Intelligence and Machine Learning for EDGE Computing, 53-63, 2022
12022
Multistage Newton’s approach for training radial basis function neural networks
K Tyagi, C Rane, B Irie, M Manry
SN Computer Science 2, 1-22, 2021
12021
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