Raunak Joshi | DeepAI

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Abhishek Gupta
133 publications
Nandan Kanvinde
5 publications
Vidya Chitre
3 publications
Ronald Melwin Laban
3 publications
Ronald Laban
2 publications
Himanshu Soni
2 publications
Sruthi Nair
2 publications
Sayali Tambe
1 publication
Pandharinath Ghonge
1 publication
Sarvesh Thustu
1 publication
Sannidhi Shetty
1 publication

∙ 03/25/2023

Deep Linear Discriminant Analysis with Variation for Polycystic Ovary Syndrome Classification

The polycystic ovary syndrome diagnosis is a problem that can be leverag...

0 Raunak Joshi, et al. ∙

∙ 11/28/2022

Forged Image Detection using SOTA Image Classification Deep Learning Methods for Image Forensics with Error Level Analysis

The advancement in the area of computer vision has been brought using de...

0 Raunak Joshi, et al. ∙

∙ 08/24/2022

Metric Effects based on Fluctuations in values of k in Nearest Neighbor Regressor

Regression branch of Machine Learning purely focuses on prediction of co...

0 Abhishek Gupta, et al. ∙

∙ 06/05/2022

Performance Comparison of Simple Transformer and Res-CNN-BiLSTM for Cyberbullying Classification

The task of text classification using Bidirectional based LSTM architect...

0 Raunak Joshi, et al. ∙

∙ 06/02/2022

Prediction of Maneuvering Status for Aerial Vehicles using Supervised Learning Methods

Aerial Vehicles follow a guided approach based on Latitude, Longitude an...

0 Abhishek Gupta, et al. ∙

∙ 05/25/2022

Residual-Concatenate Neural Network with Deep Regularization Layers for Binary Classification

Many complex Deep Learning models are used with different variations for...

0 Abhishek Gupta, et al. ∙

∙ 04/20/2022

Res-CNN-BiLSTM Network for overcoming Mental Health Disturbances caused due to Cyberbullying through Social Media

Mental Health Disturbance has many reasons and cyberbullying is one of t...

0 Raunak Joshi, et al. ∙

∙ 04/19/2022

Detection of Tool based Edited Images from Error Level Analysis and Convolutional Neural Network

Image Forgery is a problem of image forensics and its detection can be l...

0 Abhishek Gupta, et al. ∙

∙ 02/17/2022

Combining Varied Learners for Binary Classification using Stacked Generalization

The Machine Learning has various learning algorithms that are better in ...

0 Sruthi Nair, et al. ∙

∙ 02/15/2022

Binary Classification for High Dimensional Data using Supervised Non-Parametric Ensemble Method

Medical Research data used for prognostication deals with binary classif...

0 Nandan Kanvinde, et al. ∙

∙ 02/07/2022

Effects of Parametric and Non-Parametric Methods on High Dimensional Sparse Matrix Representations

The semantics are derived from textual data that provide representations...

0 Sayali Tambe, et al. ∙

∙ 01/09/2022

Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication

A lot of prognostication methodologies have been formulated for early de...

7 Abhishek Gupta, et al. ∙

∙ 01/02/2022

Succinct Differentiation of Disparate Boosting Ensemble Learning Methods for Prognostication of Polycystic Ovary Syndrome Diagnosis

Prognostication of medical problems using the clinical data by leveragin...

0 Abhishek Gupta, et al. ∙

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