activity
20182020
most citedA Modified Bayesian Optimization based Hyper-Parameter Tuning Approach for Extreme Gradient Boosting

37 citations · 49 across the 2 of their papers we have counts for

collaborators

5 papers

cs.LG202037 cited

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

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. One of the ways…

cs.LG2019

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

Sayan Putatunda

The diagnosis of the Erythemato-squamous disease (ESD) is accepted as a difficult problem in dermatology. ESD is a form of skin disease. It generally causes redness of the skin and…

cs.SI201912 cited

PropTech for Proactive Pricing of Houses in Classified Advertisements in the Indian Real Estate Market

Sayan Putatunda

Property Technology (PropTech) is the next big thing that is going to disrupt the real estate market. Nowadays, we see applications of Machine Learning (ML) and Artificial Intellig…

stat.CO2019

SmartEDA: An R Package for Automated Exploratory Data Analysis

Sayan Putatunda, Kiran Rama, Dayananda Ubrangala +1

This paper introduces SmartEDA, which is an R package for performing Exploratory data analysis (EDA). EDA is generally the first step that one needs to perform before developing an…

cs.LG2018

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

Sayan Putatunda

Accurate classification of self-care problems in children who suffer from physical and motor affliction is an important problem in the healthcare industry. This is a difficult and…