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Refinado por: Base de dados/Biblioteca: Ovid SocietyJournals and Single Titles remover Base de dados/Biblioteca: SpringerLink remover
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11
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19
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How artificial intelligence and machine learning can help healthcare systems respond to COVID-19

van der Schaar, Mihaela ; Alaa, Ahmed M. ; Floto, Andres ; Gimson, Alexander ; Scholtes, Stefan ; Wood, Angela ; McKinney, Eoin ; Jarrett, Daniel ; Lio, Pietro ; Ercole, Ari

Machine learning, 2021-01, Vol.110 (1), p.1-14 [Periódico revisado por pares]

New York: Springer US

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12
Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0
Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0
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Machine learning applied in production planning and control: a state-of-the-art in the era of industry 4.0

Usuga Cadavid, Juan Pablo ; Lamouri, Samir ; Grabot, Bernard ; Pellerin, Robert ; Fortin, Arnaud

Journal of intelligent manufacturing, 2020-08, Vol.31 (6), p.1531-1558 [Periódico revisado por pares]

New York: Springer US

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13
A review on deep learning for recommender systems: challenges and remedies
A review on deep learning for recommender systems: challenges and remedies
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A review on deep learning for recommender systems: challenges and remedies

Batmaz, Zeynep ; Yurekli, Ali ; Bilge, Alper ; Kaleli, Cihan

The Artificial intelligence review, 2019-06, Vol.52 (1), p.1-37 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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14
What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018
What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018
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What do citation counts measure? An updated review of studies on citations in scientific documents published between 2006 and 2018

Tahamtan, Iman ; Bornmann, Lutz

Scientometrics, 2019-12, Vol.121 (3), p.1635-1684 [Periódico revisado por pares]

Cham: Springer International Publishing

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15
Recent automatic text summarization techniques: a survey
Recent automatic text summarization techniques: a survey
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Recent automatic text summarization techniques: a survey

Gambhir, Mahak ; Gupta, Vishal

The Artificial intelligence review, 2017, Vol.47 (1), p.1-66 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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16
A survey on classification techniques for opinion mining and sentiment analysis
A survey on classification techniques for opinion mining and sentiment analysis
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A survey on classification techniques for opinion mining and sentiment analysis

Hemmatian, Fatemeh ; Sohrabi, Mohammad Karim

The Artificial intelligence review, 2019-10, Vol.52 (3), p.1495-1545 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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17
A review on methods and software for fuzzy cognitive maps
A review on methods and software for fuzzy cognitive maps
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A review on methods and software for fuzzy cognitive maps

Felix, Gerardo ; Nápoles, Gonzalo ; Falcon, Rafael ; Froelich, Wojciech ; Vanhoof, Koen ; Bello, Rafael

The Artificial intelligence review, 2019-10, Vol.52 (3), p.1707-1737 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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18
Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement
Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement
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Quality of science and reporting of radiomics in oncologic studies: room for improvement according to radiomics quality score and TRIPOD statement

Park, Ji Eun ; Kim, Donghyun ; Kim, Ho Sung ; Park, Seo Young ; Kim, Jung Youn ; Cho, Se Jin ; Shin, Jae Ho ; Kim, Jeong Hoon

European radiology, 2020-01, Vol.30 (1), p.523-536 [Periódico revisado por pares]

Berlin/Heidelberg: Springer Berlin Heidelberg

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19
Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression
Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression
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Discovery of Algebraic Reynolds-Stress Models Using Sparse Symbolic Regression

Schmelzer, Martin ; Dwight, Richard P. ; Cinnella, Paola

Flow, turbulence and combustion, 2020-03, Vol.104 (2-3), p.579-603 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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20
A survey on feature selection approaches for clustering
A survey on feature selection approaches for clustering
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A survey on feature selection approaches for clustering

Hancer, Emrah ; Xue, Bing ; Zhang, Mengjie

The Artificial intelligence review, 2020-08, Vol.53 (6), p.4519-4545 [Periódico revisado por pares]

Dordrecht: Springer Netherlands

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