19 citations · 61 across the 13 of their papers we have counts for
13 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…
Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis
Raunak Joshi, Abhishek Gupta, Nandan Kanvinde +1
The advancement in the area of computer vision has been brought using deep learning mechanisms. Image Forensics is one of the major areas of computer vision application. Forgery of…
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…
Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods
Abhishek Gupta, Sarvesh Thustu, Riti Thakor +3
Aerial Vehicles follow a guided approach based on Latitude, Longitude and Altitude. This information can be used for calculating the status of maneuvering for the aerial vehicles a…
Performance Comparison of Simple Transformer and Res-CNN-BiLSTM for Cyberbullying Classification
Raunak Joshi, Abhishek Gupta
The task of text classification using Bidirectional based LSTM architectures is computationally expensive and time consuming to train. For this, transformers were discovered which…
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…
Res-CNN-BiLSTM Network for overcoming Mental Health Disturbances caused due to Cyberbullying through Social Media
Raunak Joshi, Abhishek Gupta, Nandan Kanvinde
Mental Health Disturbance has many reasons and cyberbullying is one of the major causes that does exploitation using social media as an instrument. The cyberbullying is done on the…
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…
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…
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…
Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Method
Nandan Kanvinde, Abhishek Gupta, Raunak Joshi +1
High dimensional data for classification does create many difficulties for machine learning algorithms. The generalization can be done using ensemble learning methods such as baggi…
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…