8 citations · 15 across the 3 of their papers we have counts for
3 papers
cs.LG2022★ 8 cited
Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification
Abhishek Gupta, Sruthi Nair, Raunak Joshi +1
Many complex Deep Learning models are used with different variations for various prognostication tasks. The higher learning parameters not necessarily ensure great accuracy. This c…
cs.LG2022★ 5 cited
Combining Varied Learners for Binary Classification using Stacked Generalization
Sruthi Nair, Abhishek Gupta, Raunak Joshi +1
The Machine Learning has various learning algorithms that are better in some or the other aspect when compared with each other but a common error that all algorithms will suffer fr…
cs.LG2022★ 2 cited
Effects of Parametric and Non-Parametric Methods on High Dimensional Sparse Matrix Representations
Sayali Tambe, Raunak Joshi, Abhishek Gupta +2
The semantics are derived from textual data that provide representations for Machine Learning algorithms. These representations are interpretable form of high dimensional sparse ma…