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1دورية أكاديمية
المؤلفون: Luigi Fiorillo, Giuliana Monachino, Julia van der Meer, Marco Pesce, Jan D. Warncke, Markus H. Schmidt, Claudio L. A. Bassetti, Athina Tzovara, Paolo Favaro, Francesca D. Faraci
المصدر: npj Digital Medicine, Vol 6, Iss 1, Pp 1-9 (2023)
مصطلحات موضوعية: Computer applications to medicine. Medical informatics, R858-859.7
وصف الملف: electronic resource
Relation: https://doaj.org/toc/2398-6352
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المؤلفون: Luigi Fiorillo, Davide Pedroncelli, Valentina Agostini, Paolo Favaro, Francesca Dalia Faraci
المصدر: Fiorillo, Luigi; Pedroncelli, Davide; Agostini, Valentina; Favaro, Paolo; Faraci, Francesca Dalia (2023). Multi-Scored Sleep Databases: How to Exploit the Multiple-Labels in Automated Sleep Scoring. Sleep, 46(5) Oxford University Press 10.1093/sleep/zsad028 <http://dx.doi.org/10.1093/sleep/zsad028>
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, deep learning, 000 Computer science, knowledge & systems, 620 Engineering, Machine Learning (cs.LG), multi-scored sleep databases, machine learning, 510 Mathematics, Physiology (medical), automatic sleep stage classification, Neurology (clinical)
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2ef2dc29d46d83c5a543f06a209b5190
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3
المؤلفون: Zili Zhang, Paolo Favaro, Yan Tian, Jianxiang Li
المصدر: IEEE Signal Processing Letters. 29:1237-1241
مصطلحات موضوعية: Applied Mathematics, Signal Processing, Electrical and Electronic Engineering
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المؤلفون: Luigi Fiorillo, Giuliana Monachino, Julia van der Meer, Marco Pesce, Jan Warncke, Markus Schmidt, Claudio Bassetti, Athina Tzovara, Paolo Favaro, Francesca Faraci
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::2c69fa1f5beb17d085051a1de797ee2b
https://doi.org/10.21203/rs.3.rs-2088160/v1 -
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المؤلفون: Aram Davtyan, Paolo Favaro
المصدر: Lecture Notes in Computer Science ISBN: 9783031197895
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::1b4aa5f2c7969bc17b9975eb517f441f
https://doi.org/10.1007/978-3-031-19790-1_5 -
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المؤلفون: Paolo Favaro, Francesca Dalia Faraci, Luigi Fiorillo
المصدر: Fiorillo, Luigi; Favaro, Paolo; Faraci, Francesca Dalia (2021). DeepSleepNet-Lite: A Simplified Automatic Sleep Stage Scoring Model with Uncertainty Estimates. IEEE transactions on neural systems and rehabilitation engineering, 29, pp. 2076-2085. IEEE 10.1109/TNSRE.2021.3117970 <http://dx.doi.org/10.1109/TNSRE.2021.3117970>
مصطلحات موضوعية: FOS: Computer and information sciences, Computer Science - Machine Learning, Exploit, Computer science, Monte Carlo method, Biomedical Engineering, 000 Computer science, knowledge & systems, Machine learning, computer.software_genre, Machine Learning (cs.LG), 510 Mathematics, Internal Medicine, Macro, Dropout (neural networks), Sleep Stages, business.industry, General Neuroscience, Deep learning, Rehabilitation, Process (computing), Uncertainty, Electroencephalography, 620 Engineering, Feature (computer vision), Artificial intelligence, business, Sleep, computer, Algorithms
وصف الملف: application/pdf
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::471442308f19d20e00a3a0a32f3f6cad
http://arxiv.org/abs/2108.10600 -
7
المؤلفون: Tobias Lasser, Paolo Favaro, Burcu Guner-Ataman, Panagiotis Symvoulidis, Josué Page Vizcaíno, Edward S. Boyden, Zeguan Wang
المصدر: ICCP
مصطلحات موضوعية: Microscope, Artificial neural network, Computer science, business.industry, 3D reconstruction, Pattern recognition, Sparse approximation, 620 Engineering, law.invention, Visualization, 510 Mathematics, law, Deconvolution, Artificial intelligence, Focus (optics), business, 000 Computer science, knowledge & systems, Light field
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fd6b33eb7c2c71fefe67d25553e00e2a
https://doi.org/10.1109/iccp51581.2021.9466256 -
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المؤلفون: Paolo Favaro, Stefanos Zafeiriou, Grigorios Chrysos
المصدر: Chrysos, Grigorios; Favaro, Paolo; Zafeiriou, Stefanos (2018). Motion Deblurring of Faces. International journal of computer vision, 127(6-7), pp. 801-823. Springer 10.1007/s11263-018-1138-7 <http://dx.doi.org/10.1007/s11263-018-1138-7>
مصطلحات موضوعية: FOS: Computer and information sciences, Technology, Deblurring, IMAGE, Computer science, Face deblurring, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION, 02 engineering and technology, Learning motion deblurring, 000 Computer science, knowledge & systems, Facial recognition system, Computer Science, Artificial Intelligence, Motion (physics), 510 Mathematics, Artificial Intelligence, 0801 Artificial Intelligence and Image Processing, 0202 electrical engineering, electronic engineering, information engineering, Artificial Intelligence & Image Processing, Computer vision, cs.CV, RESTORATION, Science & Technology, Landmark, IDENTIFICATION, business.industry, Motion blur, Identification (information), Task (computing), Computer Science, Pattern recognition (psychology), 020201 artificial intelligence & image processing, Data-driven networks, Computer Vision and Pattern Recognition, Artificial intelligence, business, Software
وصف الملف: application/pdf
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المؤلفون: Tobias Lasser, Ruth Lyck, Yury Belyaev, Federico Saltarin, Paolo Favaro, Josué Page Vizcaíno
مصطلحات موضوعية: Pixel, business.industry, Computer science, Confocal, Iterative reconstruction, Convolutional neural network, Computer Science Applications, law.invention, Data set, Computational Mathematics, Confocal microscopy, law, Signal Processing, 570 Life sciences, biology, Computer vision, Artificial intelligence, business, 610 Medicine & health, Image resolution, Light field
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37421473d305402add1abbb68558c5be
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المؤلفون: Tom Bishop, Paolo Favaro
المصدر: Computer Vision ISBN: 9783030032432
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::394c1b4a4b2ec8c45569d015ef1a1098
https://doi.org/10.1007/978-3-030-03243-2_771-1