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Acceptance and Use of Innovative Assistive Technologies among People with Cognitive Impairment and Their Caregivers: A Systematic Review
Acceptance and Use of Innovative Assistive Technologies among People with Cognitive Impairment and Their Caregivers: A Systematic Review
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Acceptance and Use of Innovative Assistive Technologies among People with Cognitive Impairment and Their Caregivers: A Systematic Review

Thordardottir, Björg ; Malmgren Fänge, Agneta ; Lethin, Connie ; Rodriguez Gatta, Danae ; Chiatti, Carlos Magalhães, Fernando H. ; Fernando H Magalhães

BioMed research international, 2019-01, Vol.2019, p.9196729-18 [Periódico revisado por pares]

United States: Hindawi

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2
Accessible data curation and analytics for international-scale citizen science datasets
Accessible data curation and analytics for international-scale citizen science datasets
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Accessible data curation and analytics for international-scale citizen science datasets

Murray, Benjamin ; Kerfoot, Eric ; Chen, Liyuan ; Deng, Jie ; Graham, Mark S ; Sudre, Carole H ; Molteni, Erika ; Canas, Liane S ; Antonelli, Michela ; Klaser, Kerstin ; Visconti, Alessia ; Hammers, Alexander ; Chan, Andrew T ; Franks, Paul W ; Davies, Richard ; Wolf, Jonathan ; Spector, Tim D ; Steves, Claire J ; Modat, Marc ; Ourselin, Sebastien

Scientific data, 2021-11, Vol.8 (1), p.297-297, Article 297 [Periódico revisado por pares]

England: Nature Publishing Group

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3
Accurate prediction of B-form/A-form DNA conformation propensity from primary sequence: A machine learning and free energy handshake
Accurate prediction of B-form/A-form DNA conformation propensity from primary sequence: A machine learning and free energy handshake
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Accurate prediction of B-form/A-form DNA conformation propensity from primary sequence: A machine learning and free energy handshake

Gupta, Abhijit ; Kulkarni, Mandar ; Mukherjee, Arnab

Patterns (New York, N.Y.), 2021-09, Vol.2 (9), p.100329-100329, Article 100329 [Periódico revisado por pares]

Elsevier Inc

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4
Active learning-based information structure analysis of full scientific articles and two applications for biomedical literature review
Active learning-based information structure analysis of full scientific articles and two applications for biomedical literature review
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Active learning-based information structure analysis of full scientific articles and two applications for biomedical literature review

Guo, Yufan ; Silins, Ilona ; Stenius, Ulla ; Korhonen, Anna

Bioinformatics, 2013-06, Vol.29 (11), p.1440-1447 [Periódico revisado por pares]

England

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5
AGE BIAS IN ARTIFICIAL INTELLIGENCE (AI): A VISUAL PROPERTIES ANALYSIS OF AI IMAGES OF OLDER VERSUS YOUNGER PEOPLE
AGE BIAS IN ARTIFICIAL INTELLIGENCE (AI): A VISUAL PROPERTIES ANALYSIS OF AI IMAGES OF OLDER VERSUS YOUNGER PEOPLE
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AGE BIAS IN ARTIFICIAL INTELLIGENCE (AI): A VISUAL PROPERTIES ANALYSIS OF AI IMAGES OF OLDER VERSUS YOUNGER PEOPLE

Allen, Laura ; Xu, Wenqian ; Nishikitani, Mariko ; Patil, Vaishnavi Atul ; Bradley, Dana

Innovation in aging, 2023-12, Vol.7 (Supplement_1), p.986-986 [Periódico revisado por pares]

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6
AI-Enabled Framework for Fog Computing Driven E-Healthcare Applications
AI-Enabled Framework for Fog Computing Driven E-Healthcare Applications
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AI-Enabled Framework for Fog Computing Driven E-Healthcare Applications

Sodhro, Ali Hassan ; Zahid, Noman

Sensors (Basel, Switzerland), 2021-12, Vol.21 (23), p.8039 [Periódico revisado por pares]

Basel: MDPI AG

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7
AlphaML: A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular data
AlphaML: A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular data
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AlphaML: A clear, legible, explainable, transparent, and elucidative binary classification platform for tabular data

Nasimian, Ahmad ; Younus, Saleena ; Tatli, Özge ; Hammarlund, Emma U ; Pienta, Kenneth J ; Rönnstrand, Lars ; Kazi, Julhash U

Patterns (New York, N.Y.), 2024-01, Vol.5 (1), p.100897-100897, Article 100897 [Periódico revisado por pares]

United States: Elsevier

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8
Alternating EM algorithm for a bilinear model in isoform quantification from RNA-seq data
Alternating EM algorithm for a bilinear model in isoform quantification from RNA-seq data
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Alternating EM algorithm for a bilinear model in isoform quantification from RNA-seq data

Deng, Wenjiang ; Mou, Tian ; Kalari, Krishna R ; Niu, Nifang ; Wang, Liewei ; Pawitan, Yudi ; Vu, Trung Nghia Berger, Bonnie

Bioinformatics, 2020-02, Vol.36 (3), p.805-812 [Periódico revisado por pares]

England: Oxford University Press

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9
aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow
aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow
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aMeta: an accurate and memory-efficient ancient metagenomic profiling workflow

Pochon, Zoé ; Bergfeldt, Nora ; Kırdök, Emrah ; Vicente, Mário ; Naidoo, Thijessen ; van der Valk, Tom ; Altınışık, N. Ezgi ; Krzewińska, Maja ; Dalén, Love ; Götherström, Anders ; Mirabello, Claudio ; Unneberg, Per ; Oskolkov, Nikolay

Genome Biology, 2023-10, Vol.24 (1), p.1-242, Article 242 [Periódico revisado por pares]

London: BioMed Central

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10
Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining
Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining
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Applications of Artificial Intelligence, Machine Learning, Big Data and the Internet of Things to the COVID-19 Pandemic: A Scientometric Review Using Text Mining

Rodríguez-Rodríguez, Ignacio ; Rodríguez, José-Víctor ; Shirvanizadeh, Niloofar ; Ortiz, Andrés ; Pardo-Quiles, Domingo-Javier

International journal of environmental research and public health, 2021-08, Vol.18 (16), p.8578 [Periódico revisado por pares]

Basel: MDPI AG

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