Full Text Available

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

A Hybrid Active and Semi-Supervised Learning Framework for Classification with Minimal Labeled Data

Saved in:
Bibliographic Details
Published in:International Journal of Intelligent Systems and Applications
Format: Online Article RSS Article
Published: 2026
Subjects:
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1868553687349067776
collection WordPress RSS
FRELIP Feed Integration
container_title International Journal of Intelligent Systems and Applications
description
discipline_display Artificial Intelligence
discipline_facet Artificial Intelligence
format Online Article
RSS Article
genre Journal Article
id rss_article:83308
institution FRELIP
journal_source_facet International Journal of Intelligent Systems and Applications
last_indexed 2026-06-20T21:40:59.953Z
publishDate 2026
publishDateSort 2026
record_format rss_article
spellingShingle A Hybrid Active and Semi-Supervised Learning Framework for Classification with Minimal Labeled Data
Artificial Intelligence
General
Artificial Intelligence
sub_discipline_display General
sub_discipline_facet General
subject_display Artificial Intelligence
General
Artificial Intelligence
subject_facet Artificial Intelligence
General
Artificial Intelligence
title A Hybrid Active and Semi-Supervised Learning Framework for Classification with Minimal Labeled Data
title_alt Un marco híbrido de aprendizaje activo y semisupervisado para clasificación con datos etiquetados mínimos
Un cadre d'apprentissage hybride actif et semi-supervisé pour la classification avec un minimum de données étiquetées
Uma Estrutura Híbrida de Aprendizagem Ativa e Semissupervisionada para Classificação com Dados Rotulados Mínimos
title_auth A Hybrid Active and Semi-Supervised Learning Framework for Classification with Minimal Labeled Data
title_es_txt Un marco híbrido de aprendizaje activo y semisupervisado para clasificación con datos etiquetados mínimos
title_fr_txt Un cadre d'apprentissage hybride actif et semi-supervisé pour la classification avec un minimum de données étiquetées
title_full A Hybrid Active and Semi-Supervised Learning Framework for Classification with Minimal Labeled Data
title_fullStr A Hybrid Active and Semi-Supervised Learning Framework for Classification with Minimal Labeled Data
title_full_unstemmed A Hybrid Active and Semi-Supervised Learning Framework for Classification with Minimal Labeled Data
title_pt_txt Uma Estrutura Híbrida de Aprendizagem Ativa e Semissupervisionada para Classificação com Dados Rotulados Mínimos
title_short A Hybrid Active and Semi-Supervised Learning Framework for Classification with Minimal Labeled Data
title_sort a hybrid active and semi-supervised learning framework for classification with minimal labeled data
topic Artificial Intelligence
General
Artificial Intelligence
url https://www.mecs-press.org/ijisa/ijisa-v18-n3/v18n3-5.html