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Algorithmic Government: Automating Public Services and Supporting Civil Servants in using Data Science Technologies
Algorithmic Government: Automating Public Services and Supporting Civil Servants in using Data Science Technologies
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Algorithmic Government: Automating Public Services and Supporting Civil Servants in using Data Science Technologies

Engin, Zeynep ; Treleaven, Philip

Computer journal, 2019-03, Vol.62 (3), p.448-460 [Periódico revisado por pares]

Oxford University Press

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2
A Hybrid-Convolution Spatial–Temporal Recurrent Network For Traffic Flow Prediction
A Hybrid-Convolution Spatial–Temporal Recurrent Network For Traffic Flow Prediction
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A Hybrid-Convolution Spatial–Temporal Recurrent Network For Traffic Flow Prediction

Zhang, Xu ; Wen, Shunjie ; Yan, Liang ; Feng, Jiangfan ; Xia, Ying

Computer journal, 2024-01, Vol.67 (1), p.236-252 [Periódico revisado por pares]

Oxford University Press

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3
Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model
Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model
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Effectively Detecting Operational Anomalies In Large-Scale IoT Data Infrastructures By Using A GAN-Based Predictive Model

Chen, Peng ; Liu, Hongyun ; Xin, Ruyue ; Carval, Thierry ; Zhao, Jiale ; Xia, Yunni ; Zhao, Zhiming

Computer journal, 2022-11, Vol.65 (11), p.2909-2925 [Periódico revisado por pares]

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4
From Keys to Databases—Real-World Applications of Secure Multi-Party Computation
From Keys to Databases—Real-World Applications of Secure Multi-Party Computation
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From Keys to Databases—Real-World Applications of Secure Multi-Party Computation

Archer, David W ; Bogdanov, Dan ; Lindell, Yehuda ; Kamm, Liina ; Nielsen, Kurt ; Pagter, Jakob Illeborg ; Smart, Nigel P ; Wright, Rebecca N

Computer journal, 2018-12 [Periódico revisado por pares]

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5
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment
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The National COVID Cohort Collaborative (N3C): Rationale, design, infrastructure, and deployment

Haendel, Melissa A ; Chute, Christopher G ; Bennett, Tellen D ; Eichmann, David A ; Guinney, Justin ; Kibbe, Warren A ; Payne, Philip R O ; Pfaff, Emily R ; Robinson, Peter N ; Saltz, Joel H ; Spratt, Heidi ; Suver, Christine ; Wilbanks, John ; Wilcox, Adam B ; Williams, Andrew E ; Wu, Chunlei ; Blacketer, Clair ; Bradford, Robert L ; Cimino, James J ; Clark, Marshall ; Colmenares, Evan W ; Francis, Patricia A ; Gabriel, Davera ; Graves, Alexis ; Hemadri, Raju ; Hong, Stephanie S ; Hripscak, George ; Jiao, Dazhi ; Klann, Jeffrey G ; Kostka, Kristin ; Lee, Adam M ; Lehmann, Harold P ; Lingrey, Lora ; Miller, Robert T ; Morris, Michele ; Murphy, Shawn N ; Natarajan, Karthik ; Palchuk, Matvey B ; Sheikh, Usman ; Solbrig, Harold ; Visweswaran, Shyam ; Walden, Anita ; Walters, Kellie M ; Weber, Griffin M ; Zhang, Xiaohan Tanner ; Zhu, Richard L ; Amor, Benjamin ; Girvin, Andrew T ; Manna, Amin ; Qureshi, Nabeel ; Kurilla, Michael G ; Michael, Sam G ; Portilla, Lili M ; Rutter, Joni L ; Austin, Christopher P ; Gersing, Ken R

Journal of the American Medical Informatics Association : JAMIA, 2021-03, Vol.28 (3), p.427-443 [Periódico revisado por pares]

England: Oxford University Press

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6
Blockchain distributed ledger technologies for biomedical and health care applications
Blockchain distributed ledger technologies for biomedical and health care applications
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Blockchain distributed ledger technologies for biomedical and health care applications

Kuo, Tsung-Ting ; Kim, Hyeon-Eui ; Ohno-Machado, Lucila

Journal of the American Medical Informatics Association : JAMIA, 2017-11, Vol.24 (6), p.1211-1220 [Periódico revisado por pares]

England: Oxford University Press

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7
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
BioBERT: a pre-trained biomedical language representation model for biomedical text mining
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BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Lee, Jinhyuk ; Yoon, Wonjin ; Kim, Sungdong ; Kim, Donghyeon ; Kim, Sunkyu ; So, Chan Ho ; Kang, Jaewoo Wren, Jonathan

Bioinformatics, 2020-02, Vol.36 (4), p.1234-1240 [Periódico revisado por pares]

England: Oxford University Press

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8
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review
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Opportunities and challenges in developing deep learning models using electronic health records data: a systematic review

Xiao, Cao ; Choi, Edward ; Sun, Jimeng

Journal of the American Medical Informatics Association : JAMIA, 2018-10, Vol.25 (10), p.1419-1428 [Periódico revisado por pares]

England: Oxford University Press

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9
RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference
RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference
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RAxML-NG: a fast, scalable and user-friendly tool for maximum likelihood phylogenetic inference

Kozlov, Alexey M ; Darriba, Diego ; Flouri, Tomáš ; Morel, Benoit ; Stamatakis, Alexandros Wren, Jonathan

Bioinformatics, 2019-11, Vol.35 (21), p.4453-4455 [Periódico revisado por pares]

England: Oxford University Press

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10
Complex heatmaps reveal patterns and correlations in multidimensional genomic data
Complex heatmaps reveal patterns and correlations in multidimensional genomic data
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Complex heatmaps reveal patterns and correlations in multidimensional genomic data

Gu, Zuguang ; Eils, Roland ; Schlesner, Matthias

Bioinformatics (Oxford, England), 2016-09, Vol.32 (18), p.2847-2849 [Periódico revisado por pares]

England

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