A Novel Complex-Valued Counterpropagation Network. - Prem Kumar Kalra; Deepak Mishra 004; Kanishka Tyagi (CIDM, 2007)

Training multilayer perceptron by using optimal input normalization. - Xun Cai; Kanishka Tyagi; Michael T. Manry (FUZZ-IEEE, 2011)

Fuzzy C-means clustering based construction and training for second order RBF network. - Kanishka Tyagi; Xun Cai; Michael T. Manry (FUZZ-IEEE, 2011)

An optimal construction and training of second order RBF network for approximation and illumination invariant image segmentation. - Xun Cai; Kanishka Tyagi; Michael T. Manry (IJCNN, 2011)

Audio Signature-Based Condition Monitoring of Internal Combustion Engine Using FFT and Correlation Approach. - Sandeep Kumar Yadav; Kanishka Tyagi; B. Shah; Prem Kumar Kalra (IEEE Trans. Instrum. Meas., 2011)

Neural decision directed segmentation of silicon defects. - Aditi S. Godbole; Kanishka Tyagi; Michael T. Manry (IJCNN, 2013)

Optimal Conjugate Gradient Algorithm for Generalization of Linear Discriminant Analysis Based on L1 Norm. - Kanishka Tyagi; Nojun Kwak; Michael T. Manry (ICPRAM, 2014)

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 (IJCNN, 2014)

Discriminant vector tranformations in neural network classifiers. - Soumitro Swapan Auddy; Kanishka Tyagi; Son Nguyen; Michael T. Manry (IJCNN, 2016)

Second order design of multiclass kernel machines. - Yilong Hao; Kanishka Tyagi; Rohit Rawat; Michael T. Manry (IJCNN, 2016)

Partially affine invariant back propagation. - Son Nguyen; Kanishka Tyagi; Parastoo Kheirkhah; Michael T. Manry (IJCNN, 2016)

Structural adaptation for sparsely connected MLP using Newton's method. - Parastoo Kheirkhah; Kanishka Tyagi; Son Nguyen; Michael T. Manry (IJCNN, 2017)

Multi-step Training of a Generalized Linear Classifier. - Kanishka Tyagi; Michael T. Manry (Neural Process. Lett., 2019)

Second Order Training and Sizing for the Multilayer Perceptron. - Kanishka Tyagi; Son Nguyen; Rohit Rawat; Michael T. Manry (Neural Process. Lett., 2020)

Multistage Newton's Approach for Training Radial Basis Function Neural Networks. - Kanishka Tyagi; Chinmay Rane; Bito Irie; Michael T. Manry (SN Comput. Sci., 2021)

Teacher-Student Knowledge Distillation for Radar Perception on Embedded Accelerators. - Steven Shaw; Kanishka Tyagi; Shan Zhang (ACSSC, 2023)

Machine Learning Based Early Debris Detection Using Automotive Low Level Radar Data. - Kanishka Tyagi; Shan Zhang; Yihang Zhang; John L. Kirkwood; Sanling Song; Narbik Manukian (ICASSP, 2023)

Utilizing Super-Resolution for Enhanced Automotive Radar Object Detection. - Asish Kumar Mishra; Kanishka Tyagi; Deepak Mishra 004 (ICIP, 2023)

Optimal Input Gain: All You Need to Supercharge a Feed-Forward Neural Network. - Chinmay Rane; Kanishka Tyagi; Sanjeev S. Malalur; Yash Shinge; Michael T. Manry (CoRR, 2023)

Optimizing Performance of Feedforward and Convolutional Neural Networks through Dynamic Activation Functions. - Chinmay Rane; Kanishka Tyagi; Michael T. Manry (CoRR, 2023)

Multiple Gain Adaptations for Improved Neural Networks Training. - Jeshwanth Challagundla; Kanishka Tyagi; Tushar Chugh; Michael T. Manry (CCWC, 2024)

Machine Learning Techniques for Non-Intrusive Load Monitoring for Enhanced Energy Predictions. - Tushar Chugh; Kanishka Tyagi; Rolly Seth (CCWC, 2024)

State-Based Dynamic Graph with Breadth First Progression For Autonomous Robots. - Tushar Chugh; Kanishka Tyagi; Pranesh Srinivasan; Jeshwanth Challagundla (CCWC, 2024)

From Aisles to Smiles: Carrey's Impact on Customer Journey. - Tushar Chugh; Kanishka Tyagi; Adi Mopidevi; Rolly Seth (HRI (Companion), 2024)

Dynamic Activations for Neural Net Training. - Chinmay Rane; Kanishka Tyagi; Tushar Chugh; Nirmala Murali (Tiny Papers @ ICLR, 2024)

Making Sigmoid-MSE Great Again: Output Reset Challenges Softmax Cross-Entropy in Neural Network Classification. - Kanishka Tyagi; Chinmay Rane; Ketaki Vaidya; Jeshwanth Challagundla; Soumitro Swapan Auddy; Michael T. Manry (CoRR, 2024)

Optimizing performance of feedforward and convolutional neural networks through dynamic activation functions. - Chinmay Rane; Kanishka Tyagi; Adrienne Kline; Tushar Chugh; Michael T. Manry (Evol. Intell., 2024)