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Artificial intelligence in medicine
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Artificial intelligence in medicine

Hamet, Pavel ; Tremblay, Johanne

Metabolism, clinical and experimental, 2017-04, Vol.69, p.S36-S40 [Periódico revisado por pares]

United States: Elsevier Inc

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Explainable AI: A Review of Machine Learning Interpretability Methods
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Explainable AI: A Review of Machine Learning Interpretability Methods

Linardatos, Pantelis ; Papastefanopoulos, Vasilis ; Kotsiantis, Sotiris

Entropy (Basel, Switzerland), 2020-12, Vol.23 (1), p.18 [Periódico revisado por pares]

Switzerland: MDPI AG

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Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences
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Biological structure and function emerge from scaling unsupervised learning to 250 million protein sequences

Rives, Alexander ; Meier, Joshua ; Sercu, Tom ; Goyal, Siddharth ; Lin, Zeming ; Liu, Jason ; Guo, Demi ; Ott, Myle ; Zitnick, C Lawrence ; Ma, Jerry ; Fergus, Rob

Proceedings of the National Academy of Sciences - PNAS, 2021-04, Vol.118 (15), p.1 [Periódico revisado por pares]

United States: National Academy of Sciences

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4
Using cognitive psychology to understand GPT-3
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Using cognitive psychology to understand GPT-3

Binz, Marcel ; Schulz, Eric

Proceedings of the National Academy of Sciences - PNAS, 2023-02, Vol.120 (6), p.e2218523120-e2218523120 [Periódico revisado por pares]

United States: National Academy of Sciences

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5
Human-level performance in 3D multiplayer games with population-based reinforcement learning
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Human-level performance in 3D multiplayer games with population-based reinforcement learning

Jaderberg, Max ; Czarnecki, Wojciech M ; Dunning, Iain ; Marris, Luke ; Lever, Guy ; Castañeda, Antonio Garcia ; Beattie, Charles ; Rabinowitz, Neil C ; Morcos, Ari S ; Ruderman, Avraham ; Sonnerat, Nicolas ; Green, Tim ; Deason, Louise ; Leibo, Joel Z ; Silver, David ; Hassabis, Demis ; Kavukcuoglu, Koray ; Graepel, Thore

Science (American Association for the Advancement of Science), 2019-05, Vol.364 (6443), p.859-865 [Periódico revisado por pares]

United States: The American Association for the Advancement of Science

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6
Multiscale Feature Extraction and Fusion of Image and Text in VQA
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Multiscale Feature Extraction and Fusion of Image and Text in VQA

Lu, Siyu ; Ding, Yueming ; Liu, Mingzhe ; Yin, Zhengtong ; Yin, Lirong ; Zheng, Wenfeng

International journal of computational intelligence systems, 2023-04, Vol.16 (1), p.1-11, Article 54 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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7
The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation
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The coefficient of determination R-squared is more informative than SMAPE, MAE, MAPE, MSE and RMSE in regression analysis evaluation

Chicco, Davide ; Warrens, Matthijs J ; Jurman, Giuseppe

PeerJ. Computer science, 2021-07, Vol.7, p.e623-e623, Article e623 [Periódico revisado por pares]

San Diego: PeerJ. Ltd

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8
Neural Network Acceptability Judgments
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Neural Network Acceptability Judgments

Warstadt, Alex ; Singh, Amanpreet ; Bowman, Samuel R.

Transactions of the Association for Computational Linguistics, , Vol.7, p.625-641 [Periódico revisado por pares]

One Rogers Street, Cambridge, MA 02142-1209, USA: MIT Press

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9
Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom
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Beyond the hype of big data and artificial intelligence: building foundations for knowledge and wisdom

Car, Josip ; Sheikh, Aziz ; Wicks, Paul ; Williams, Marc S

BMC medicine, 2019-07, Vol.17 (1), p.143-143, Article 143 [Periódico revisado por pares]

England: BioMed Central Ltd

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10
How AI can distort human beliefs
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How AI can distort human beliefs

Kidd, Celeste ; Birhane, Abeba

Science (American Association for the Advancement of Science), 2023-06, Vol.380 (6651), p.1222-1223 [Periódico revisado por pares]

United States: The American Association for the Advancement of Science

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