16 citations · 25 across the 7 of their papers we have counts for
3 papers · 1 filter
Neural Greedy Pursuit for Feature Selection
Sandipan Das, Alireza M. Javid, Prakash Borpatra Gohain +2
We propose a greedy algorithm to select important features among input features for a non-linear prediction problem. The features are selected one by one sequentially, in a…
Statistical model-based evaluation of neural networks
Sandipan Das, Prakash B. Gohain, Alireza M. Javid +2
Using a statistical model-based data generation, we develop an experimental setup for the evaluation of neural networks (NNs). The setup helps to benchmark a set of NNs vis-a-vis m…
A ReLU Dense Layer to Improve the Performance of Neural Networks
Alireza M. Javid, Sandipan Das, Mikael Skoglund +1
We propose ReDense as a simple and low complexity way to improve the performance of trained neural networks. We use a combination of random weights and rectified linear unit (ReLU)…