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Fuzzy Rank-based Ensemble

FRbE

2 papers tagged archive 2025-07-28

Introduced by Ankur Manna et al. in A Fuzzy Rank-based Ensemble of CNN Models for Classification of Cervical Cytology

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

The motive for ensembling is to utilize each of the confidence factors generated from base learners fully by mapping them into non-linear functions. One of the mapped values signifies the abidance or closeness to 1 and the other one signifies the deviation from 1. This proposed approach overcomes the shortcoming of the conventional ranking methods. The scores from base learners are mapped on two different functions having different concavities to generate non-linear fuzzy ranks and generate a fused score by combining these two ranks, which helps us to quantify the total deviation from expected. Lesser the deviation shows better confidence towards a particular class. The class having the lowest deviation value is considered as the winner and is assigned as the final class value. Here, we first give a brief overview of the pre-trained CNN models used as base learners.

PaperSourceSee Code · Digiratory/fuzzy-rank-ensemble-torch

Papers archive 2025-07-28

2 shown of 2, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

7 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Decision Making1
Image Classification1
MRI segmentation1
Segmentation1
Sensitivity1
Tumor Segmentation1
image-classification1

Usage over time archive 2025-07-28

Papers per year tagged with FRbE: 2021 to 2024, peak 1 1 0 2021: 1 paper 2021 2022: 0 papers 2022 2023: 0 papers 2023 2024: 1 paper 2024
Papers per year the archive tags with this method, by the paper's archive date (2 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Ensembling

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