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Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings

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Published in:PLOS ONE
Format: Online Article RSS Article
Published: 2026
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spellingShingle Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings
Open Access Journals
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Open Access Journals
sub_discipline_display General
sub_discipline_facet General
subject_display Open Access Journals
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Open Access Journals
subject_facet Open Access Journals
General
Open Access Journals
title Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings
title_alt Evolución de conglomerados de texto óptimos: un novedoso marco impulsado por AG para la fusión dinámica de conjuntos de incrustaciones contextuales multimodelo
Évolution de clusters textuels optimaux : un nouveau cadre basé sur les AG pour la fusion d'ensemble dynamique d'embeddings contextuels multi-modèles
Evolução de clusters de texto ideais: uma nova estrutura orientada por GA para fusão dinâmica de conjuntos de embeddings contextuais multimodelo
title_auth Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings
title_es_txt Evolución de conglomerados de texto óptimos: un novedoso marco impulsado por AG para la fusión dinámica de conjuntos de incrustaciones contextuales multimodelo
title_fr_txt Évolution de clusters textuels optimaux : un nouveau cadre basé sur les AG pour la fusion d'ensemble dynamique d'embeddings contextuels multi-modèles
title_full Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings
title_fullStr Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings
title_full_unstemmed Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings
title_pt_txt Evolução de clusters de texto ideais: uma nova estrutura orientada por GA para fusão dinâmica de conjuntos de embeddings contextuais multimodelo
title_short Evolving optimal text clusters: A novel GA-driven framework for dynamic ensemble fusion of multi-model contextual embeddings
title_sort evolving optimal text clusters: a novel ga-driven framework for dynamic ensemble fusion of multi-model contextual embeddings
topic Open Access Journals
General
Open Access Journals
url https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0353506