Zobrazeno 1 - 10
of 21
pro vyhledávání: '"Alice M. S. Durieux"'
Autor:
Rose Rustowicz, Matthew T. Calef, Christopher X. Ren, Nikhil Sharma, Alice M. S. Durieux, Jason Schatz
Publikováno v:
Applications of Machine Learning 2021.
In this work, we leverage deep learning to reproduce and expand Synthetic Aperture Radar (SAR) based deforestation detections generated using a probabilistic Bayesian model. Our Bayesian updating deforestation detections leverage SAR backscatter and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::adf3ed7c5931c9d86d2643f92ee2b9fb
https://doi.org/10.1117/12.2594031
https://doi.org/10.1117/12.2594031
Autor:
Fred Stolle, Francisco Román, Thomas B. Smith, Sean P. Healey, Alvaro Duque, Richard Sufo Kankeu, Katia Fernandes, Francois De Vleeschouwer, Yadvinder Malhi, Dennis Del Castillo Torres, Sylvia Wilson, Hyongki Lee, Rodrigo Vargas, Nadine Therese Laporte-Goetz, Carlos A. Nobre, Raphael Tshimanga, Matthew C. Hansen, Kristofer R. Covey, Nuno Carvalhais, Robert G. M. Spencer, Christine May Johnson, Liang Xu, Nancy L. Harris, Sassan Saatchi, Michel André, Diane Russell, Atiek Widayati, Raymond Sinsi Lumbuenamo, Michelle Venter, Hinsby Cadillo-Quiroz, Hitofumi Abe, Aurora C. Elmore, Yan Yang, Steven P. Brumby, Veronique De Sy, Juliann E. Aukema, Thomas E. Lovejoy, Marcos Longo, Lina María Sánchez-Clavijo, Douglas Sheil, Janet Chernela, Jean-Michel Martinez, Alice M. S. Durieux, Victoria Gammino, Jeremy Radachowsky, Gillian Ann Cerbu, Gae Yansom Gowae, Dennis Garrity, Margaret Lowman, Joshua West, Lucy Gibbon, Robert G. Hilton, David Gibbs, Stuart J. Davies, Adam F. A. Pellegrini, Hesti Lestari Tata, Luis E. Fernandez, Isai V. Cubillos
Publikováno v:
One Earth, vol 4, iss 7
One Earth
One Earth, Cell press, 2021, 4 (7), pp.988-1003. ⟨10.1016/j.oneear.2021.06.002⟩
One Earth, 4(7), 988-1003
One Earth 4 (2021) 7
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
One Earth
One Earth, Cell press, 2021, 4 (7), pp.988-1003. ⟨10.1016/j.oneear.2021.06.002⟩
One Earth, 4(7), 988-1003
One Earth 4 (2021) 7
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Humid tropical forests play a dominant role in the functioning of Earth but are under increasing threat from changes in land use and climate. How forest vulnerability varies across space and time and what level of stress forests can tolerate before f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fa005963f45b77a27f00c5512d2baec7
https://hdl.handle.net/2117/351506
https://hdl.handle.net/2117/351506
Publikováno v:
IGARSS
The global phenomenon of forest degradation is a pressing issue with severe implications for climate stability and biodiversity protection. In this work we generate Bayesian updating deforestation detection (BUDD) algorithms by incorporating Sentinel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0544ef1ffa85041afa763e22037deea
https://doi.org/10.1109/igarss39084.2020.9323938
https://doi.org/10.1109/igarss39084.2020.9323938
Publikováno v:
Algorithms, Technologies, and Applications for Multispectral and Hyperspectral Imagery XXVI.
In this work we demonstrate that generative adversarial networks (GANs) can be used to generate realistic pervasive changes in remote sensing imagery, even in an unpaired training setting. We investigate some transformation quality metrics based on d
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::18df65c45c9ad56114b3d5fea850e809
https://doi.org/10.1117/12.2560716
https://doi.org/10.1117/12.2560716
Publikováno v:
SSIAI
The detection and quantification of conflict through remote sensing modalities represents a challenging but crucial aspect of human rights monitoring. In this work we demonstrate how utilizing multi-modal data sources can help build a comprehensive p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0f7c4ff3e3211d9045a6d05d194f051
Autor:
David Price, Andrew Carney, Louise Christian, Victoria Carter, Sinthia Bosnic-Anticevich, Richard J. Harvey, Peter Smith, Derek Skinner, Alice M. S. Durieux, Vicky Kritikos
Publikováno v:
Journal of Asthma and Allergy
Pete Smith,1 David Price,2,3 Richard Harvey,4,5 Andrew Simon Carney,6 Vicky Kritikos,7 Sinthia Z Bosnic-Anticevich,7,8 Louise Christian,9 Derek Skinner,10 Victoria Carter,10 Alice Marie Sybille Durieux3 1Clinical Medicine, Griffith University, Southp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f08f3a6884c7340c38ad530dc4ef092
http://europepmc.org/articles/PMC5431691
http://europepmc.org/articles/PMC5431691
Autor:
Andrea De Micheli, Dominic Stringer, Grazia Rutigliano, Alice M. S. Durieux, Paolo Fusar-Poli, Daniel Stahl, Ilaria Bonoldi
Publikováno v:
Translational Psychiatry
Fusar-Poli, P, Stringer, D, Durieux, A, Rutigliano, G, Bonoldi, I, De Micheli, A & Stahl, D 2019, ' Clinical-learning versus machine-learning for transdiagnostic prediction of psychosis onset in individuals at-risk ', Translational psychiatry .
Translational Psychiatry, Vol 9, Iss 1, Pp 1-11 (2019)
Fusar-Poli, P, Stringer, D, Durieux, A, Rutigliano, G, Bonoldi, I, De Micheli, A & Stahl, D 2019, ' Clinical-learning versus machine-learning for transdiagnostic prediction of psychosis onset in individuals at-risk ', Translational psychiatry .
Translational Psychiatry, Vol 9, Iss 1, Pp 1-11 (2019)
Predicting the onset of psychosis in individuals at-risk is based on robust prognostic model building methods including a priori clinical knowledge (also termed clinical-learning) to preselect predictors or machine-learning methods to select predicto
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::52847d47650dd9ebd28def184052a681
https://doi.org/10.1038/s41398-019-0600-9
https://doi.org/10.1038/s41398-019-0600-9
Autor:
Scott Arko, Michael S. Warren, Matthew T. Calef, Caitlin Kontgis, Ryan Keisler, Rick Chartrand, Alice M. S. Durieux
Publikováno v:
Applications of Machine Learning.
Although monitoring forest disturbance is crucial to understanding atmospheric carbon accumulation and biodiversity loss, persistent cloud cover, especially in tropical areas, makes detecting forest disturbances using optical remotely sensed imagery
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b73aadf1243afefc7a84e650390468a
https://doi.org/10.1117/12.2528945
https://doi.org/10.1117/12.2528945
Autor:
Andreia Carvalho Pereira, Alice M. S. Durieux, Marija M. Petrinovic, Grainne M. McAlonan, Laura Ajram, Hester E. Velthius
Publikováno v:
Ajram, L, Carvalho Pereira, A, Durieux, A, Velthuis, H, Petrinovic, M-M & McAlonan, G M 2019, ' The contribution of [1H] magnetic resonance spectroscopy to the study of excitation-inhibition in autism ', Progress in Neuro-Psychopharmacology & Biological Psychiatry, vol. 89, pp. 236-244 . https://doi.org/10.1016/j.pnpbp.2018.09.010
Autism spectrum disorder (ASD) affects over 1:100 of the population and costs the UK more than £32bn and the USA more than $175bn (£104bn) annually. Its core symptoms are social and communication difficulties, repetitive behaviours and sensory hype
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2e0805a77794a5032f40050f95aa2481
https://kclpure.kcl.ac.uk/en/publications/e253c2e5-ea1d-4a3d-83c7-6add57a6228c
https://kclpure.kcl.ac.uk/en/publications/e253c2e5-ea1d-4a3d-83c7-6add57a6228c
Publikováno v:
SSIAI
This paper introduces a new method of generating realistic pervasive changes in the context of evaluating the effectiveness of change detection algorithms in controlled settings. The method – a cycle-consistent adversarial network (CycleGAN) – re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c644f48a1a3d8f61d9f7bdc4970e7cd5