B. Uma Shankar

B. Uma Shankar

Indian Statistical Institute

H-index: 22

Asia-India

About B. Uma Shankar

B. Uma Shankar, With an exceptional h-index of 22 and a recent h-index of 17 (since 2020), a distinguished researcher at Indian Statistical Institute, specializes in the field of Machine Learning(ML-DL), Pattern Recognition, Image Processing, Fuzzy Sets & Rough Sets, Geoinformatics.

His recent articles reflect a diverse array of research interests and contributions to the field:

A novel approach for retrieving GPP of evergreen forest regions of India using random forest regression

Collective intelligent strategy for improved segmentation of COVID-19 from CT

Modeling and prediction of fire occurrences along an elevational gradient in Western Himalayas

Multi-Scale Deep Supervised Attention Network for Red Lesion Segmentation

Detection of Red Lesions in Diabetic Retinopathy using Deep Learning

Machine learning approach to predict terrestrial gross primary productivity using topographical and remote sensing data

A-UNet: Attention 3D UNet architecture for multiclass segmentation of Brain Tumor

Automatic grain segmentation in cross-polarized photomicrographs of sedimentary rocks using psychophysics inspired models

B. Uma Shankar Information

University

Position

Associate Professor India

Citations(all)

4232

Citations(since 2020)

2844

Cited By

2378

hIndex(all)

22

hIndex(since 2020)

17

i10Index(all)

37

i10Index(since 2020)

25

Email

University Profile Page

Indian Statistical Institute

Google Scholar

View Google Scholar Profile

B. Uma Shankar Skills & Research Interests

Machine Learning(ML-DL)

Pattern Recognition

Image Processing

Fuzzy Sets & Rough Sets

Geoinformatics

Top articles of B. Uma Shankar

Title

Journal

Author(s)

Publication Date

A novel approach for retrieving GPP of evergreen forest regions of India using random forest regression

Remote Sensing Applications: Society and Environment (RSASE)

DP Sarkar

BU Shankar

BR Parida

2023/12

Collective intelligent strategy for improved segmentation of COVID-19 from CT

Expert Systems with Applications

Surochita Pal Das

Sushmita Mitra

B Uma Shankar

2024/1/1

Modeling and prediction of fire occurrences along an elevational gradient in Western Himalayas

Applied geography

Somnath Bar

Bikash Ranjan Parida

Arvind Chandra Pandey

B Uma Shankar

Pankaj Kumar

...

2023/2/1

Multi-Scale Deep Supervised Attention Network for Red Lesion Segmentation

Shramana Dey

Pallabi Dutta

Sushmita Mitra

B Uma Shankar

2023/4/18

Detection of Red Lesions in Diabetic Retinopathy using Deep Learning

Shramana Dey

Sushmita Mitra

B Uma Shankar

Ashis Kumar Dhara

2022/12/17

Machine learning approach to predict terrestrial gross primary productivity using topographical and remote sensing data

Ecological Informatics

DP Sarkar

BU Shankar

BR Parida

2022/6

A-UNet: Attention 3D UNet architecture for multiclass segmentation of Brain Tumor

Sunita Agarwala

Sampark Sharma

B Uma Shankar

2022/7/1

Automatic grain segmentation in cross-polarized photomicrographs of sedimentary rocks using psychophysics inspired models

Innovations in Systems and Software Engineering

Rajdeep Das

B Uma Shankar

Tapan Chakraborty

Kuntal Ghosh

2021/6

Unfolding the contribution of environmental and anthropogenic variables in forest fire over western Himalayan fire regime

Somnath Bar

Bikash Ranjan Parida

B Uma Shankar

2021/12/6

Unsupervised change detection in remote sensing images using CNN based transfer learning

Swarnajyoti Patra

Susmita Ghosh

Ashish Ghosh

2007/3/5

Deepsgp: Deep learning for gene selection and survival group prediction in glioblastoma

Electronics

Ritaban Kirtania

Subhashis Banerjee

Sayantan Laha

B Uma Shankar

Raghunath Chatterjee

...

2021/6/18

FuzzyCIE: fuzzy colour image enhancement for low-exposure images

Soft Computing

Soham Mandal

Sushmita Mitra

B Uma Shankar

2020/2

A novel adaptive k-NN classifier for handling imbalance: Application to brain MRI

Intelligent Data Analysis

Ritaban Kirtania

Sushmita Mitra

B Uma Shankar

2020/1/1

Addressing grain-matrix differentiation in sedimentary rock photomicrographs in the light of brightness perception modelling

Rajdeep Das

B Uma Shankar

Tapan Chakraborty

Kuntal Ghosh

2020

GAN-based novel approach for data augmentation with improved disease classification

Debangshu Bhattacharya

Subhashis Banerjee

Shubham Bhattacharya

B Uma Shankar

Sushmita Mitra

2020

Automated coal petrography using random forest

International Journal of Coal Geology

Avinash Kumar Tiwary

Suman Ghosh

Rashmi Singh

Dipti Prasad Mukherjee

B Uma Shankar

...

2020/12/1

Change detection in multispectral remote sensing images with leader intelligence PSO and NSCT feature fusion

ISPRS International Journal of Geo-Information

Josephina Paul

B Uma Shankar

Balaram Bhattacharyya

2020/7/21

See List of Professors in B. Uma Shankar University(Indian Statistical Institute)

Co-Authors

H-index: 104
Lorenzo Bruzzone

Lorenzo Bruzzone

Università degli Studi di Trento

H-index: 86
Hugo Aerts

Hugo Aerts

Harvard University

H-index: 85
Benjamin Haibe-Kains

Benjamin Haibe-Kains

University of Toronto

H-index: 63
Bidyut Baran Chaudhuri

Bidyut Baran Chaudhuri

Indian Statistical Institute

H-index: 46
Pabitra Mitra

Pabitra Mitra

Indian Institute of Technology Kharagpur

H-index: 45
Raymond H. Mak

Raymond H. Mak

Harvard University

academic-engine