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A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play
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A general reinforcement learning algorithm that masters chess, shogi, and Go through self-play

Silver, David ; Hubert, Thomas ; Schrittwieser, Julian ; Antonoglou, Ioannis ; Lai, Matthew ; Guez, Arthur ; Lanctot, Marc ; Sifre, Laurent ; Kumaran, Dharshan ; Graepel, Thore ; Lillicrap, Timothy ; Simonyan, Karen ; Hassabis, Demis

Science (American Association for the Advancement of Science), 2018-12, Vol.362 (6419), p.1140-1144 [Periódico revisado por pares]

United States: The American Association for the Advancement of Science

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Reproducibility in machine learning for health research: Still a ways to go
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Reproducibility in machine learning for health research: Still a ways to go

McDermott, Matthew B A ; Wang, Shirly ; Marinsek, Nikki ; Ranganath, Rajesh ; Foschini, Luca ; Ghassemi, Marzyeh

Science translational medicine, 2021-03, Vol.13 (586) [Periódico revisado por pares]

United States: The American Association for the Advancement of Science

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3
Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?
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Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved?

Bernard, Olivier ; Lalande, Alain ; Zotti, Clement ; Cervenansky, Frederick ; Yang, Xin ; Heng, Pheng-Ann ; Cetin, Irem ; Lekadir, Karim ; Camara, Oscar ; Gonzalez Ballester, Miguel Angel ; Sanroma, Gerard ; Napel, Sandy ; Petersen, Steffen ; Tziritas, Georgios ; Grinias, Elias ; Khened, Mahendra ; Kollerathu, Varghese Alex ; Krishnamurthi, Ganapathy ; Rohe, Marc-Michel ; Pennec, Xavier ; Sermesant, Maxime ; Isensee, Fabian ; Jager, Paul ; Maier-Hein, Klaus H. ; Full, Peter M. ; Wolf, Ivo ; Engelhardt, Sandy ; Baumgartner, Christian F. ; Koch, Lisa M. ; Wolterink, Jelmer M. ; Isgum, Ivana ; Jang, Yeonggul ; Hong, Yoonmi ; Patravali, Jay ; Jain, Shubham ; Humbert, Olivier ; Jodoin, Pierre-Marc

IEEE transactions on medical imaging, 2018-11, Vol.37 (11), p.2514-2525

United States: IEEE

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4
Prepotent motor activity and inhibitory control demands in different variants of the go/no‐go paradigm
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Prepotent motor activity and inhibitory control demands in different variants of the go/no‐go paradigm

Wessel, Jan R.

Psychophysiology, 2018-03, Vol.55 (3), p.n/a [Periódico revisado por pares]

United States: Blackwell Publishing Ltd

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5
Correction: Brands and Inhibition: A Go/No-Go Task Reveals the Power of Brand Influence
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Correction: Brands and Inhibition: A Go/No-Go Task Reveals the Power of Brand Influence

PloS one, 2015-11, Vol.10 (11), p.e0143985-e0143985 [Periódico revisado por pares]

United States: Public Library of Science

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6
Embeddings from deep learning transfer GO annotations beyond homology
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Embeddings from deep learning transfer GO annotations beyond homology

Littmann, Maria ; Heinzinger, Michael ; Dallago, Christian ; Olenyi, Tobias ; Rost, Burkhard

Scientific reports, 2021-01, Vol.11 (1), p.1160-1160, Article 1160 [Periódico revisado por pares]

England: Nature Publishing Group

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7
Prelimbic and Infralimbic Prefrontal Regulation of Active and Inhibitory Avoidance and Reward-Seeking
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Prelimbic and Infralimbic Prefrontal Regulation of Active and Inhibitory Avoidance and Reward-Seeking

Capuzzo, Giulia ; Floresco, Stan B

The Journal of neuroscience, 2020-06, Vol.40 (24), p.4773-4787 [Periódico revisado por pares]

United States: Society for Neuroscience

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8
643-P: Perceived Usefulness of Mindfulness-Based Stress Reduction in Persons with Type 2 Diabetes
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643-P: Perceived Usefulness of Mindfulness-Based Stress Reduction in Persons with Type 2 Diabetes

FERRARA, LUCILLE ; KAUFMAN, SOPHIE R.

Diabetes (New York, N.Y.), 2022-06, Vol.71 (Supplement_1) [Periódico revisado por pares]

New York: American Diabetes Association

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9
Differences in unity: The go/no-go and stop signal tasks rely on different mechanisms
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Differences in unity: The go/no-go and stop signal tasks rely on different mechanisms

Raud, Liisa ; Westerhausen, René ; Dooley, Niamh ; Huster, René J.

NeuroImage (Orlando, Fla.), 2020-04, Vol.210, p.116582-116582, Article 116582 [Periódico revisado por pares]

United States: Elsevier Inc

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10
Online tools help language models to solve problems
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Online tools help language models to solve problems

Piktus, Aleksandra

Nature (London), 2023-06, Vol.618 (7965), p.465-466 [Periódico revisado por pares]

London: Nature Publishing Group

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