[Viper :: Machine Learning, Data Mining and Information Retrieval]

HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention

Bibtex entry :

@techreport { bini:arxiv2024,
    author = { Lorenzo Bini and Fatemeh Nassajian Mojarrad and Thomas Matthes and St\'ephane Marchand-Maillet },
    title = { HemaGraph: Breaking Barriers in Hematologic Single Cell Classification with Graph Attention },
    journal = { CoRR },
    volume = { abs/2402.18611 },
    year = { 2024 },
    url = { https://doi.org/10.48550/arXiv.2402.18611 },
    doi = { 10.48550/ARXIV.2402.18611 },
    eprinttype = { arXiv },
    eprint = { 2402.18611 },
    timestamp = { Mon, 25 Mar 2024 16:04:36 +0100 },
    biburl = { https://dblp.org/rec/journals/corr/abs-2402-18611.bib },
    bibsource = { dblp computer science bibliography, https://dblp.org },
}

Keywords: machine learning, information geometry, data mining, Big Data, affective information retrieval (recherche d'information), information visualisation, content-based image and video retrieval (CBIR, CBR, CBVR, CBMR, CBMIR), information mining, classification, multimedia and multimodal information management, semantic web, knowledge base (RDF, OWL, XML, metadata, auto-annotation, description), multimodal information fusion