Active Learning with Crowdsourcing for the Cold Start of Imbalanced Classifiers

Bibtex entry :

@inproceedings { brangbour:cdve2020,
    author = { Etienne Brangbour and Pierrick Bruneau and Thomas Tamisier and St{\'{e}}phane Marchand{-}Maillet },
    title = { Active Learning with Crowdsourcing for the Cold Start of Imbalanced Classifiers },
    booktitle = { Cooperative Design, Visualization, and Engineering - 17th International Conference, {CDVE} },
    address = { Bangkok, TH - online },
    year = { 2020 },
}
--

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