156 citations · 231 across the 5 of their papers we have counts for
5 papers
SMOTified-GAN for class imbalanced pattern classification problems
Anuraganand Sharma, Prabhat Kumar Singh, Rohitash Chandra
Class imbalance in a dataset is a major problem for classifiers that results in poor prediction with a high true positive rate (TPR) but a low true negative rate (TNR) for a majori…
Guided parallelized stochastic gradient descent for delay compensation
Anuraganand Sharma
Stochastic gradient descent (SGD) algorithm and its variations have been effectively used to optimize neural network models. However, with the rapid growth of big data and deep lea…
Optimistic variants of single-objective bilevel optimization for evolutionary algorithms
Anuraganand Sharma
Single-objective bilevel optimization is a specialized form of constraint optimization problems where one of the constraints is an optimization problem itself. These problems are t…
Classification with 2-D Convolutional Neural Networks for breast cancer diagnosis
Anuraganand Sharma, Dinesh Kumar
Breast cancer is the most common cancer in women. Classification of cancer/non-cancer patients with clinical records requires high sensitivity and specificity for an acceptable dia…
Stacked transfer learning for tropical cyclone intensity prediction
Ratneel Vikash Deo, Rohitash Chandra, Anuraganand Sharma
Tropical cyclone wind-intensity prediction is a challenging task considering drastic changes climate patterns over the last few decades. In order to develop robust prediction model…