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The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education
The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education
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The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers’ adoption of digital technology in education

Scherer, Ronny ; Siddiq, Fazilat ; Tondeur, Jo

Computers and education, 2019-01, Vol.128, p.13-35 [Periódico revisado por pares]

Elsevier Ltd

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From dual digitalization to digital learning space: Exploring the digital transformation of higher education
From dual digitalization to digital learning space: Exploring the digital transformation of higher education
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From dual digitalization to digital learning space: Exploring the digital transformation of higher education

Bygstad, Bendik ; Øvrelid, Egil ; Ludvigsen, Sten ; Dæhlen, Morten

Computers and education, 2022-06, Vol.182, p.104463, Article 104463 [Periódico revisado por pares]

Elsevier Ltd

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Direct shape optimization through deep reinforcement learning
Direct shape optimization through deep reinforcement learning
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Direct shape optimization through deep reinforcement learning

Viquerat, Jonathan ; Rabault, Jean ; Kuhnle, Alexander ; Ghraieb, Hassan ; Larcher, Aurélien ; Hachem, Elie

Journal of computational physics, 2021-03, Vol.428, p.110080, Article 110080 [Periódico revisado por pares]

Cambridge: Elsevier Inc

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4
Understanding coordination in global software engineering: A mixed-methods study on the use of meetings and Slack
Understanding coordination in global software engineering: A mixed-methods study on the use of meetings and Slack
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Understanding coordination in global software engineering: A mixed-methods study on the use of meetings and Slack

Stray, Viktoria ; Moe, Nils Brede

The Journal of systems and software, 2020-12, Vol.170, p.110717, Article 110717 [Periódico revisado por pares]

Elsevier Inc

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5
My Chatbot Companion - a Study of Human-Chatbot Relationships
My Chatbot Companion - a Study of Human-Chatbot Relationships
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My Chatbot Companion - a Study of Human-Chatbot Relationships

Skjuve, Marita ; Følstad, Asbjørn ; Fostervold, Knut Inge ; Brandtzaeg, Petter Bae

International journal of human-computer studies, 2021-05, Vol.149, p.102601, Article 102601 [Periódico revisado por pares]

Elsevier Ltd

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6
SemML: Facilitating development of ML models for condition monitoring with semantics
SemML: Facilitating development of ML models for condition monitoring with semantics
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SemML: Facilitating development of ML models for condition monitoring with semantics

Zhou, Baifan ; Svetashova, Yulia ; Gusmao, Andre ; Soylu, Ahmet ; Cheng, Gong ; Mikut, Ralf ; Waaler, Arild ; Kharlamov, Evgeny

Web semantics, 2021-11, Vol.71, p.100664, Article 100664

Elsevier B.V

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Clustering objectives in wireless sensor networks: A survey and research direction analysis
Clustering objectives in wireless sensor networks: A survey and research direction analysis
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Clustering objectives in wireless sensor networks: A survey and research direction analysis

Shahraki, Amin ; Taherkordi, Amir ; Haugen, Øystein ; Eliassen, Frank

Computer networks (Amsterdam, Netherlands : 1999), 2020-10, Vol.180, p.1, Article 107376 [Periódico revisado por pares]

Amsterdam: Elsevier B.V

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8
Pruning by explaining: A novel criterion for deep neural network pruning
Pruning by explaining: A novel criterion for deep neural network pruning
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Pruning by explaining: A novel criterion for deep neural network pruning

Yeom, Seul-Ki ; Seegerer, Philipp ; Lapuschkin, Sebastian ; Binder, Alexander ; Wiedemann, Simon ; Müller, Klaus-Robert ; Samek, Wojciech

Pattern recognition, 2021-07, Vol.115, p.107899, Article 107899 [Periódico revisado por pares]

Elsevier Ltd

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9
Robust weakly supervised learning for COVID-19 recognition using multi-center CT images
Robust weakly supervised learning for COVID-19 recognition using multi-center CT images
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Robust weakly supervised learning for COVID-19 recognition using multi-center CT images

Ye, Qinghao ; Gao, Yuan ; Ding, Weiping ; Niu, Zhangming ; Wang, Chengjia ; Jiang, Yinghui ; Wang, Minhao ; Fang, Evandro Fei ; Menpes-Smith, Wade ; Xia, Jun ; Yang, Guang

Applied soft computing, 2022-02, Vol.116, p.108291-108291, Article 108291 [Periódico revisado por pares]

United States: Elsevier B.V

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10
Augmenting the algorithm: Emerging human-in-the-loop work configurations
Augmenting the algorithm: Emerging human-in-the-loop work configurations
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Augmenting the algorithm: Emerging human-in-the-loop work configurations

Grønsund, Tor ; Aanestad, Margunn

The journal of strategic information systems, 2020-06, Vol.29 (2), p.101614, Article 101614 [Periódico revisado por pares]

Kidlington: Elsevier B.V

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