Full Text Available

Note: Clicking the button above will open the full text document at the original institutional repository in a new window.

Borderline-MASI: A Novel Data Adjustment Method for Imbalanced Data Classification

Saved in:
Bibliographic Details
Published in:Applied Computational Intelligence and Soft Computing
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1869572629236547584
collection WordPress RSS
FRELIP Feed Integration
container_title Applied Computational Intelligence and Soft Computing
description
discipline_display Mathematics
discipline_facet Mathematics
format Online Article
RSS Article
genre Journal Article
id rss_article:98288
institution FRELIP
journal_source_facet Applied Computational Intelligence and Soft Computing
last_indexed 2026-07-02T03:36:39.017Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle Borderline-MASI: A Novel Data Adjustment Method for Imbalanced Data Classification
Mathematics
General
Mathematics
sub_discipline_display General
sub_discipline_facet General
subject_display Mathematics
General
Mathematics
subject_facet Mathematics
General
Mathematics
title Borderline-MASI: A Novel Data Adjustment Method for Imbalanced Data Classification
title_alt Borderline-MASI: Un nuevo método de ajuste de datos para clasificación de datos desbalanceados
Borderline-MASI : une nouvelle méthode d'ajustement des données pour la classification de données déséquilibrées
Borderline-MASI: Um Novo Método de Ajuste de Dados para Classificação de Dados Desbalanceados
title_auth Borderline-MASI: A Novel Data Adjustment Method for Imbalanced Data Classification
title_es_txt Borderline-MASI: Un nuevo método de ajuste de datos para clasificación de datos desbalanceados
title_fr_txt Borderline-MASI : une nouvelle méthode d'ajustement des données pour la classification de données déséquilibrées
title_full Borderline-MASI: A Novel Data Adjustment Method for Imbalanced Data Classification
title_fullStr Borderline-MASI: A Novel Data Adjustment Method for Imbalanced Data Classification
title_full_unstemmed Borderline-MASI: A Novel Data Adjustment Method for Imbalanced Data Classification
title_pt_txt Borderline-MASI: Um Novo Método de Ajuste de Dados para Classificação de Dados Desbalanceados
title_short Borderline-MASI: A Novel Data Adjustment Method for Imbalanced Data Classification
title_sort borderline-masi: a novel data adjustment method for imbalanced data classification
topic Mathematics
General
Mathematics
url https://www.hindawi.com/journals/acisc/2026/6466035/