19 citations · 33 across the 5 of their papers we have counts for
5 papers
Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classification
Raunak Joshi, Abhishek Gupta, Himanshu Soni +1
The polycystic ovary syndrome diagnosis is a problem that can be leveraged using prognostication based learning procedures. Many implementations of PCOS can be seen with Machine Le…
Metric Effects based on Fluctuations in values of k in Nearest Neighbor Regressor
Abhishek Gupta, Raunak Joshi, Nandan Kanvinde +2
Regression branch of Machine Learning purely focuses on prediction of continuous values. The supervised learning branch has many regression based methods with parametric and non-pa…
Detection of Tool based Edited Images from Error Level Analysis and Convolutional Neural Network
Abhishek Gupta, Raunak Joshi, Ronald Laban
Image Forgery is a problem of image forensics and its detection can be leveraged using Deep Learning. In this paper we present an approach for identification of authentic and tampe…
Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication
Abhishek Gupta, Himanshu Soni, Raunak Joshi +1
A lot of prognostication methodologies have been formulated for early detection of Polycystic Ovary Syndrome also known as PCOS using Machine Learning. PCOS is a binary classificat…
Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis
Abhishek Gupta, Sannidhi Shetty, Raunak Joshi +1
Prognostication of medical problems using the clinical data by leveraging the Machine Learning techniques with stellar precision is one of the most important real world challenges…