Evidence map›Paper›PMID 37009465›Full record

ArticleEvolving systems2023

Evolving fuzzy neural classifier that integrates uncertainty from human-expert feedback.

Paulo Vitor de Campos Souza, Edwin Lughofer

Abstract read
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In one paragraph

Article in Evolving systems, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Paulo Vitor de Campos SouzaDepartment of Knowledge-Based Mathematical Systems, Johannes Kepler Universitat Linz, Science Park 2 (6th Floor), Altenbergerstrasse 69, 4040 Linz, Austria.ORCID 0000-0002-7343-5844
Edwin LughoferDepartment of Knowledge-Based Mathematical Systems, Johannes Kepler Universitat Linz, Science Park 2 (6th Floor), Altenbergerstrasse 69, 4040 Linz, Austria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolving fuzzy neural networks are models capable of solving complex problems in a wide variety of contexts. In general, the quality of the data evaluated by a model has a direct impact on the quality of the results. Some procedures can generate uncertainty during data collection, which can be identified by experts to choose more suitable forms of model training. This paper proposes the integration of expert input on labeling uncertainty into evolving fuzzy neural classifiers (EFNC) in an approach called

Indexed as

Class label uncertaintyEvolving fuzzy neural classifierInterpretability of fuzzy classification rulesStream classificationUser annotation feedback

Identifiers

PMID37009465
PMCPMC10061807

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.