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Open Access research that responds to the COVID-19 pandemic...

Strathprints makes available scholarly Open Access content seeking to respond to the medical, scientific, economic and social emergencies arising from the COVID-19 pandemic. Researchers from across the Faculties of Science, Engineering, Business and the Humanities, Arts & Social Sciences (HaSS) are all contributing to improved human understanding of -- or solutions to -- the issues surrounding management of the pandemic and the post-pandemic recovery.

Explore COVID-19 related Open Access research. Or explore all of Strathclyde's Open Access research...

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Jump to: 2021 | 2020
Number of items: 4.

2021

Marchetti, Francesco and Wilson, Callum and Powell, Cheyenne and Minisci, Edmondo and Riccardi, Annalisa; Romero, Juan and Martins, Tiago and Rodríguez-Fernández, Nereida, eds. (2021) Convolutional Generative Adversarial Network, via Transfer Learning, for traditional Scottish music generation. In: Artificial Intelligence in Music, Sound, Art and Design. Lecture Notes in Computer Science, 12693 . Springer, ESP. ISBN 978-3-030-72914-1

2020

Wilson, Callum and Riccardi, Annalisa and Minisci, Edmondo; (2020) A novel update mechanism for Q-Networks based on extreme learning machines. In: 2020 International Joint Conference on Neural Networks (IJCNN). IEEE, GBR. ISBN 9781728169262

Wilson, Callum and Marchetti, Francesco and Di Carlo, Marilena and Riccardi, Annalisa and Minisci, Edmondo (2020) Classifying intelligence in machines : a taxonomy of intelligent control. Robotics, 9 (3). 64. ISSN 2218-6581

Wilson, Callum and Marchetti, Francesco and Di Carlo, Marilena and Riccardi, Annalisa and Minisci, Edmondo (2020) Intelligent control : a taxonomy. In: 8th International Conference on Systems and Control, 2019-10-23 - 2019-10-25, Faculty of sciences Semlalia, Cadi Ayyad University.

This list was generated on Sun May 16 11:10:25 2021 BST.