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Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization
Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization
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Learning Realistic Patterns from Visually Unrealistic Stimuli: Generalization and Data Anonymization

Nikolaidis, Konstantinos ; Kristiansen, Stein ; Plagemann, Thomas ; Goebel, Vera ; Liestøl, Knut ; Kankanhalli, Mohan ; Traaen, Gunn Marit ; Overland, Britt ; Akre, Harriet ; Aakerøy, Lars ; Steinshamn, Sigurd

The Journal of artificial intelligence research, 2021-01, Vol.72, p.1163-1214 [Periódico revisado por pares]

San Francisco: AI Access Foundation

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2
Embedding Projection for Targeted Cross-lingual Sentiment: Model Comparisons and a Real-World Study
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
Flexible Bayesian Nonlinear Model Configuration
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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4
A machine learning approach to galaxy properties: joint redshift–stellar mass probability distributions with Random Forest
A machine learning approach to galaxy properties: joint redshift–stellar mass probability distributions with Random Forest
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A machine learning approach to galaxy properties: joint redshift–stellar mass probability distributions with Random Forest

Mucesh, S ; Hartley, W G ; Palmese, A ; Lahav, O ; Whiteway, L ; Bluck, A F L ; Alarcon, A ; Amon, A ; Bechtol, K ; Bernstein, G M ; Carnero Rosell, A ; Carrasco Kind, M ; Choi, A ; Eckert, K ; Everett, S ; Gruen, D ; Gruendl, R A ; Harrison, I ; Huff, E M ; Kuropatkin, N ; Sevilla-Noarbe, I ; Sheldon, E ; Yanny, B ; Aguena, M ; Allam, S ; Bacon, D ; Bertin, E ; Bhargava, S ; Brooks, D ; Carretero, J ; Castander, F J ; Conselice, C ; Costanzi, M ; Crocce, M ; da Costa, L N ; Pereira, M E S ; De Vicente, J ; Desai, S ; Diehl, H T ; Drlica-Wagner, A ; Evrard, A E ; Ferrero, I ; Flaugher, B ; Fosalba, P ; Frieman, J ; García-Bellido, J ; Gaztanaga, E ; Gerdes, D W ; Gschwend, J ; Gutierrez, G ; Hinton, S R ; Hollowood, D L ; Honscheid, K ; James, D J ; Kuehn, K ; Lima, M ; Lin, H ; Maia, M A G ; Melchior, P ; Menanteau, F ; Miquel, R ; Morgan, R ; Paz-Chinchón, F ; Plazas, A A ; Sanchez, E ; Scarpine, V ; Schubnell, M ; Serrano, S ; Smith, M ; Suchyta, E ; Tarle, G ; Thomas, D ; To, C ; Varga, T N ; Wilkinson, R D

Monthly notices of the Royal Astronomical Society, 2021-04, Vol.502 (2), p.2770-2786 [Periódico revisado por pares]

United States: Oxford University Press

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5
Using voids to unscreen modified gravity
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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6
Time-varying uplift in Svalbard—an effect of glacial changes
Time-varying uplift in Svalbard—an effect of glacial changes
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Time-varying uplift in Svalbard—an effect of glacial changes

Kierulf, Halfdan Pascal ; Kohler, Jack ; Boy, Jean-Paul ; Geyman, Emily C ; Mémin, Anthony ; Omang, Ove C D ; Steffen, Holger ; Steffen, Rebekka

Geophysical journal international, 2022-08, Vol.231 (3), p.1518-1534 [Periódico revisado por pares]

Oxford University Press

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7
Hydrodynamic effects in the symmetron and f(R)-gravity models
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
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
Nothing to Hide, Nothing to Fear? Tools and Suggestions for Digital Data Protection
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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10
Data-driven analysis of immune infiltrate in a large cohort of breast cancer and its association with disease progression, ER activity, and genomic complexity
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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