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Kishor Datta Gupta

University of Memphis, North Carolina A&T University, Lamar University

10 papers hereh-index 171.7k citations62 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author5
  • last author2

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • eess.IV3
  • cs.CR2
  • cs.CV2
  • cs.LG2
  • cs.NE1
affiliations
  • University of Memphis, North Carolina A&T University, Lamar University
Homepage
same name
  • Kishor Datta Gupta — 1 paper

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20202023
most citedStudy of Different Deep Learning Approach with Explainable AI for Screening Patients with COVID-19 Symptoms: Using CT Scan and Chest X-ray Image Dataset

98 citations · 175 across the 10 of their papers we have counts for

collaborators
Showing 2022Show all

3 papers · 1 filter

eess.IV2022★ 9 cited

Transfer learning and Local interpretable model agnostic based visual approach in Monkeypox Disease Detection and Classification: A Deep Learning insights

Md Manjurul Ahsan, Tareque Abu Abdullah, Md Shahin Ali +4

The recent development of Monkeypox disease among various nations poses a global pandemic threat when the world is still fighting Coronavirus Disease-2019 (COVID-19). At its dawn,…

cs.LG2022

Negative Selection Approach to support Formal Verification and Validation of BlackBox Models' Input Constraints

Abdul-Rauf Nuhu, Kishor Datta Gupta, Wendwosen Bellete Bedada +4

Generating unsafe sub-requirements from a partitioned input space to support verification-guided test cases for formal verification of black-box models is a challenging problem for…

cs.LG2022★ 2 cited

Mitigating shortage of labeled data using clustering-based active learning with diversity exploration

Xuyang Yan, Shabnam Nazmi, Biniam Gebru +4

In this paper, we proposed a new clustering-based active learning framework, namely Active Learning using a Clustering-based Sampling (ALCS), to address the shortage of labeled dat…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.