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pro vyhledávání: '"Papatheodoulou, Dimitris"'
Autor:
Malialis, Kleanthis, Papatheodoulou, Dimitris, Filippou, Stylianos, Panayiotou, Christos G., Polycarpou, Marios M.
Publikováno v:
IEEE Symposium Series on Computational Intelligence (SSCI), 2022
There is an emerging need for predictive models to be trained on-the-fly, since in numerous machine learning applications data are arriving in an online fashion. A critical challenge encountered is that of limited availability of ground truth informa
Externí odkaz:
http://arxiv.org/abs/2210.06873
Autor:
Papatheodoulou, Dimitris, Pavlou, Pavlos, Vrachimis, Stelios G., Malialis, Kleanthis, Eliades, Demetrios G., Theocharides, Theocharis
Numerous real-world problems from a diverse set of application areas exist that exhibit temporal dependencies. We focus on a specific type of time series classification which we refer to as aggregated time series classification. We consider an aggreg
Externí odkaz:
http://arxiv.org/abs/2210.00089