On Class Imbalanced Learning:Design of Non-parametricClassifiers, Performance Indices, and Deep Oversampling Strategies

Author (Researcher Name)

Sankha Subhra Mullick Dr., Indian Statistical InstituteFollow

Date of Submission

January 2021

Date of Award

1-1-2022

Institute Name (Publisher)

Indian Statistical Institute

Document Type

Doctoral Thesis

Degree Name

Doctor of Philosophy

Subject Name

Computer Science

Department

Electronics and Communication Sciences Unit (ECSU-Kolkata)

Supervisor

Das, Swagatam (ECSU-Kolkata; ISI)

Abstract (Summary of the Work)

Abstract not available

Comments

ProQuest Collection ID: https://www.proquest.com/pqdtlocal1010185/dissertations/fromDatabasesLayer?accountid=27563

Control Number

ISILib-TH491

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

DOI

http://dspace.isical.ac.in:8080/jspui/handle/10263/2146

Recommended Citation

Mullick, Sankha Subhra Dr., "On Class Imbalanced Learning:Design of Non-parametricClassifiers, Performance Indices, and Deep Oversampling Strategies" (2022). Doctoral Theses. 576.
https://digitalcommons.isical.ac.in/doctoral-theses/576