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1
Nothing to Hide, Nothing to Fear? Tools and Suggestions for Digital Data Protection
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Nothing to Hide, Nothing to Fear? Tools and Suggestions for Digital Data Protection

Anderson, Jedidiah ; Skare, Erik ; Dorroll, Courtney

Qualitative report, 2018-05, Vol.23 (5), p.1223-1236 [Periódico revisado por pares]

Fort Lauderdale: The Qualitative Report

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2
Embedding Projection for Targeted Cross-lingual Sentiment: Model Comparisons and a Real-World Study
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Embedding Projection for Targeted Cross-lingual Sentiment: Model Comparisons and a Real-World Study

Barnes, Jeremy ; Klinger, Roman

The Journal of artificial intelligence research, 2019-01, Vol.66, p.691 [Periódico revisado por pares]

San Francisco: AI Access Foundation

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3
THE LIFE AND TIMES OF AN ESTONIAN MESOLITHIC SLOTTED BONE ‘DAGGER’. EXTENDED OBJECT BIOGRAPHIES FOR LEGACY OBJECTS
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THE LIFE AND TIMES OF AN ESTONIAN MESOLITHIC SLOTTED BONE ‘DAGGER’. EXTENDED OBJECT BIOGRAPHIES FOR LEGACY OBJECTS

Bjørnevad, Mathias ; Jonuks, Tõnno ; Bye-Jensen, Peter ; Manninen, Mikael A ; Oras, Ester ; Vahur, Signe ; Riede, Felix

Eesti Arheoloogia Ajakiri, 2019-01, Vol.23 (2), p.103-125 [Periódico revisado por pares]

Tallinn: Teaduste Akadeemia Kirjastus

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4
Ex vivo metabolic fingerprinting identifies biomarkers predictive of prostate cancer recurrence following radical prostatectomy
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Ex vivo metabolic fingerprinting identifies biomarkers predictive of prostate cancer recurrence following radical prostatectomy

Braadland, Peder R ; Giskeødegård, Guro ; Sandsmark, Elise ; Bertilsson, Helena ; Euceda, Leslie R ; Hansen, Ailin F ; Guldvik, Ingrid J ; Selnæs, Kirsten M ; Grytli, Helene H ; Katz, Betina ; Svindland, Aud ; Bathen, Tone F ; Eri, Lars M ; Nygård, Ståle ; Berge, Viktor ; Taskén, Kristin A ; Tessem, May-Britt

British journal of cancer, 2017-11, Vol.117 (11), p.1656-1664 [Periódico revisado por pares]

England: Nature Publishing Group

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5
Data-driven analysis of immune infiltrate in a large cohort of breast cancer and its association with disease progression, ER activity, and genomic complexity
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Data-driven analysis of immune infiltrate in a large cohort of breast cancer and its association with disease progression, ER activity, and genomic complexity

Dannenfelser, Ruth ; Nome, Marianne ; Tahiri, Andliena ; Ursini-Siegel, Josie ; Vollan, Hans Kristian Moen ; Haakensen, Vilde D ; Helland, Åslaug ; Naume, Bjørn ; Caldas, Carlos ; Børresen-Dale, Anne-Lise ; Kristensen, Vessela N ; Troyanskaya, Olga G

Oncotarget, 2017-08, Vol.8 (34), p.57121-57133

United States: Impact Journals LLC

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6
Using voids to unscreen modified gravity
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Using voids to unscreen modified gravity

Falck, Bridget ; Koyama, Kazuya ; Zhao, Gong-Bo ; Cautun, Marius

Monthly notices of the Royal Astronomical Society, 2018-04, Vol.475 (3), p.3262-3272 [Periódico revisado por pares]

London: Oxford University Press

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7
Hydrodynamic effects in the symmetron and f(R)-gravity models
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Hydrodynamic effects in the symmetron and f(R)-gravity models

Hammami, Amir ; Llinares, Claudio ; Mota, David F ; Winther, Hans A

Monthly notices of the Royal Astronomical Society, 2015-06, Vol.449 (4), p.3635-3644 [Periódico revisado por pares]

London: Oxford University Press

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8
Causality from palaeontological time series
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Causality from palaeontological time series

Hannisdal, Bjarte ; Liow, Lee Hsiang ; Smith, Andrew Smith, Andrew

Palaeontology, 2018-07, Vol.61 (4), p.495-509 [Periódico revisado por pares]

Oxford: Blackwell Publishing Ltd

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9
Getting Change-Space: A Grounded Theory Study of Automated eHealth Therapy
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Getting Change-Space: A Grounded Theory Study of Automated eHealth Therapy

Holter, Marianne ; Ness, Ottar ; Johansen, Ayna ; Brendryen, Håvar

Qualitative report, 2019-07, Vol.24 (7), p.1636-1657 [Periódico revisado por pares]

Fort Lauderdale: Nova Southeastern University, Inc

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10
Flexible Bayesian Nonlinear Model Configuration
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Flexible Bayesian Nonlinear Model Configuration

Hubin, Aliaksandr ; Storvik, Geir ; Frommlet, Florian

The Journal of artificial intelligence research, 2021-01, Vol.72, p.901-942 [Periódico revisado por pares]

San Francisco: AI Access Foundation

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