2020-11-09 19:27:07 +01:00
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RAPIDS
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2020-11-19 18:31:39 +01:00
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2020-11-23 22:53:20 +01:00
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2020-11-19 18:31:39 +01:00
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2020-11-09 19:27:07 +01:00
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< h1 id = "cite-rapids-and-providers" > Cite RAPIDS and providers< a class = "headerlink" href = "#cite-rapids-and-providers" title = "Permanent link" > ¶ < / a > < / h1 >
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< p class = "admonition-title" > RAPIDS and the community< / p >
< p > RAPIDS is a community effort and as such we want to continue recognizing the contributions from other researchers. Besides citing RAPIDS, we ask you to cite any of the authors listed below if you used those sensor providers in your analysis, thank you!< / p >
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< h2 id = "rapids" > RAPIDS< a class = "headerlink" href = "#rapids" title = "Permanent link" > ¶ < / a > < / h2 >
< p > If you used RAPIDS, please cite < a href = "https://preprints.jmir.org/preprint/23246" > this paper< / a > .< / p >
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< p class = "admonition-title" > RAPIDS et al. citation< / p >
< p > Vega J, Li M, Aguillera K, Goel N, Joshi E, Durica KC, Kunta AR, Low CA
RAPIDS: Reproducible Analysis Pipeline for Data Streams Collected with Mobile Devices
JMIR Preprints. 18/08/2020:23246
DOI: 10.2196/preprints.23246
URL: < a href = "https://preprints.jmir.org/preprint/23246" > https://preprints.jmir.org/preprint/23246< / a > < / p >
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< h2 id = "panda-accelerometer" > Panda (accelerometer)< a class = "headerlink" href = "#panda-accelerometer" title = "Permanent link" > ¶ < / a > < / h2 >
< p > If you computed accelerometer features using the provider < code > [PHONE_ACCLEROMETER][PANDA]< / code > cite < a href = "https://pubmed.ncbi.nlm.nih.gov/31657854/" > this paper< / a > in addition to RAPIDS.< / p >
< div class = "admonition cite" >
< p class = "admonition-title" > Panda et al. citation< / p >
< p > Panda N, Solsky I, Huang EJ, Lipsitz S, Pradarelli JC, Delisle M, Cusack JC, Gadd MA, Lubitz CC, Mullen JT, Qadan M, Smith BL, Specht M, Stephen AE, Tanabe KK, Gawande AA, Onnela JP, Haynes AB. Using Smartphones to Capture Novel Recovery Metrics After Cancer Surgery. JAMA Surg. 2020 Feb 1;155(2):123-129. doi: 10.1001/jamasurg.2019.4702. PMID: 31657854; PMCID: PMC6820047.< / p >
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< h2 id = "stachl-applications-foreground" > Stachl (applications foreground)< a class = "headerlink" href = "#stachl-applications-foreground" title = "Permanent link" > ¶ < / a > < / h2 >
< p > If you computed applications foreground features using the app category (genre) catalogue in < code > [PHONE_APPLICATIONS_FOREGROUND][RAPIDS]< / code > cite < a href = "https://www.pnas.org/content/117/30/17680" > this paper< / a > in addition to RAPIDS.< / p >
< div class = "admonition cite" >
< p class = "admonition-title" > Stachl et al. citation< / p >
< p > Clemens Stachl, Quay Au, Ramona Schoedel, Samuel D. Gosling, Gabriella M. Harari, Daniel Buschek, Sarah Theres Völkel, Tobias Schuwerk, Michelle Oldemeier, Theresa Ullmann, Heinrich Hussmann, Bernd Bischl, Markus Bühner. Proceedings of the National Academy of Sciences Jul 2020, 117 (30) 17680-17687; DOI: 10.1073/pnas.1920484117 < / p >
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< h2 id = "barnett-locations" > Barnett (locations)< a class = "headerlink" href = "#barnett-locations" title = "Permanent link" > ¶ < / a > < / h2 >
< p > If you computed locations features using the provider < code > [PHONE_LOCATIONS][BARNETT]< / code > cite < a href = "https://doi.org/10.1093/biostatistics/kxy059" > this paper< / a > and < a href = "https://doi.org/10.1145/2750858.2805845" > this paper< / a > in addition to RAPIDS.< / p >
< div class = "admonition cite" >
< p class = "admonition-title" > Barnett et al. citation< / p >
< p > Ian Barnett, Jukka-Pekka Onnela, Inferring mobility measures from GPS traces with missing data, Biostatistics, Volume 21, Issue 2, April 2020, Pages e98– < a href = "https://doi.org/10.1093/biostatistics/kxy059" > https://doi.org/10.1093/biostatistics/kxy059< / a > < / p >
< / div >
< div class = "admonition cite" >
< p class = "admonition-title" > Canzian et al. citation< / p >
< p > Luca Canzian and Mirco Musolesi. 2015. Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp ‘ 15). Association for Computing Machinery, New York, NY, USA, 1293– < a href = "https://doi.org/10.1145/2750858.2805845" > https://doi.org/10.1145/2750858.2805845< / a > < / p >
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< h2 id = "doryab-locations" > Doryab (locations)< a class = "headerlink" href = "#doryab-locations" title = "Permanent link" > ¶ < / a > < / h2 >
< p > If you computed locations features using the provider < code > [PHONE_LOCATIONS][DORYAB]< / code > cite < a href = "https://arxiv.org/abs/1812.10394" > this paper< / a > and < a href = "https://doi.org/10.1145/2750858.2805845" > this paper< / a > in addition to RAPIDS.< / p >
< div class = "admonition cite" >
< p class = "admonition-title" > Doryab et al. citation< / p >
< p > Doryab, A., Chikarsel, P., Liu, X., & Dey, A. K. (2019). Extraction of Behavioral Features from Smartphone and Wearable Data. ArXiv:1812.10394 [Cs, Stat]. < a href = "http://arxiv.org/abs/1812.10394" > http://arxiv.org/abs/1812.10394< / a > < / p >
< / div >
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< p class = "admonition-title" > Canzian et al. citation< / p >
< p > Luca Canzian and Mirco Musolesi. 2015. Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp ‘ 15). Association for Computing Machinery, New York, NY, USA, 1293– < a href = "https://doi.org/10.1145/2750858.2805845" > https://doi.org/10.1145/2750858.2805845< / a > < / p >
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