Zobrazeno 1 - 10
of 27
pro vyhledávání: '"Cuttone, Andrea"'
Autor:
Cuttone, Andrea, Bækgaard, Per, Sekara, Vedran, Jonsson, Håkan, Larsen, Jakob Eg, Lehmann, Sune
We propose a Bayesian model for extracting sleep patterns from smartphone events. Our method is able to identify individuals' daily sleep periods and their evolution over time, and provides an estimation of the probability of sleep and wake transitio
Externí odkaz:
http://arxiv.org/abs/1608.06108
Predictive models for human mobility have important applications in many fields such as traffic control, ubiquitous computing and contextual advertisement. The predictive performance of models in literature varies quite broadly, from as high as 93% t
Externí odkaz:
http://arxiv.org/abs/1608.01939
We introduce geoplotlib, an open-source python toolbox for visualizing geographical data. geoplotlib supports the development of hardware-accelerated interactive visualizations in pure python, and provides implementations of dot maps, kernel density
Externí odkaz:
http://arxiv.org/abs/1608.01933
We describe an empirical study of the usage of a mobility self-tracking app, SensibleJournal 2014, which provides personal mobility information to N=796 participants as part of a large mobile sensing study. Specifically, we report on the app design,
Externí odkaz:
http://arxiv.org/abs/1608.01870
Autor:
Stopczynski, Arkadiusz, Sekara, Vedran, Sapiezynski, Piotr, Cuttone, Andrea, Madsen, Mette My, Larsen, Jakob Eg, Lehmann, Sune
This paper describes the deployment of a large-scale study designed to measure human interactions across a variety of communication channels, with high temporal resolution and spanning multiple years - the Copenhagen Networks Study. Specifically, we
Externí odkaz:
http://arxiv.org/abs/1401.7233
Autor:
Cuttone, Andrea1 ancu@dtu.dk, Bækgaard, Per1, Sekara, Vedran1,2, Jonsson, Håkan2, Larsen, Jakob Eg1, Lehmann, Sune1,3
Publikováno v:
PLoS ONE. 1/11/2017, Vol. 12 Issue 1, p1-20. 20p.
Supplementary Information. (pdf)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1acdabbca93c411eb3d37c5a12ccea6a
Autor:
Cuttone, Andrea
Publikováno v:
Cuttone, A 2017, Data Mining and Visualization of Large Human Behavior Data Sets . DTU Compute PHD-2016, no. 422, Technical University of Denmark, Kgs. Lyngby .
Traditional methods for studying human behavior such as surveys and manual collection are expensive, time-consuming and therefore cannot be easily applied at large scale. In recent years an explosive amount of digital traces of human activity – for
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______1202::2510fd35302a06f3fdae9ab19013c5df
https://orbit.dtu.dk/en/publications/data-mining-and-visualization-of-large-human-behavior-data-sets(fc968753-01b5-416a-a44c-58474fa0aac6).html
https://orbit.dtu.dk/en/publications/data-mining-and-visualization-of-large-human-behavior-data-sets(fc968753-01b5-416a-a44c-58474fa0aac6).html
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
INTRODUCTION Noise pollution is becoming a problem, especially in large cities. Studies show that in daily life, 70% of people are exposed to average noise levels during a day that can cause longterm hearing damage (Flamme et. al., 2012). Many local,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od______2659::6b0de848d0accc1c0e3e3b045d8c9d59
https://zenodo.org/record/3536318
https://zenodo.org/record/3536318