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  • title: A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data
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            A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data
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            A generative, predictive model for menstrual cycle lengths that accounts for potential self-tracking artifacts in mobile health data

            Dec 6, 2020

            Speakers

            KL

            Kathy Li

            Řečník · 0 sledujících

            IU

            Iñigo Urteaga

            Řečník · 0 sledujících

            AS

            Amanda Shea

            Řečník · 0 sledujících

            Organizer

            N2
            N2

            NeurIPS 2020

            Účet · 11,5k sledujících

            Categories

            Umělá inteligence a data science

            Kategorie · 10,8k prezentací

            About NeurIPS 2020

            Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference, there are workshops which provide a less formal setting.

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