Search Results for author: Sayan Putatunda

Found 6 papers, 2 papers with code

A Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting

no code implementations10 Apr 2020 Sayan Putatunda, Kiran Rama

It is already reported in the literature that the performance of a machine learning algorithm is greatly impacted by performing proper Hyper-Parameter optimization.

Bayesian Optimization

A Hybrid Deep Learning Approach for Diagnosis of the Erythemato-Squamous Disease

no code implementations17 Sep 2019 Sayan Putatunda

In this paper, we propose a novel hybrid deep learning approach i. e. Derm2Vec for the diagnosis of the ESD.

BIG-bench Machine Learning

SmartEDA: An R Package for Automated Exploratory Data Analysis

2 code implementations12 Mar 2019 Sayan Putatunda, Kiran Rama, Dayananda Ubrangala, Ravi Kondapalli

In this paper, we propose a new open source package i. e. SmartEDA for R to address the need for automation of exploratory data analysis.

Computation

Care2Vec: A Deep learning approach for the classification of self-care problems in physically disabled children

no code implementations3 Dec 2018 Sayan Putatunda

In this study, we propose a new deep learning based approach named Care2Vec for solving these kind of problems and use a real world self care activities dataset that is based on a conceptual framework designed by the World Health Organization (WHO).

Classification General Classification

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