most citedResidual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification

8 citations · 29 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2023★ 1 cited

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…

cs.CV2022★ 6 cited

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…

cs.LG2022★ 3 cited

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…

cs.RO2022

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…

cs.CL2022★ 2 cited

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…

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.CL2022★ 3 cited

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…

cs.LG2022★ 2 cited

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…

cs.LG2022★ 4 cited

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…