Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Valentina Zantedeschi"'
Autor:
Vít Růžička, Anna Vaughan, Daniele De Martini, James Fulton, Valentina Salvatelli, Chris Bridges, Gonzalo Mateo-Garcia, Valentina Zantedeschi
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-10 (2022)
Abstract Applications such as disaster management enormously benefit from rapid availability of satellite observations. Traditionally, data analysis is performed on the ground after being transferred—downlinked—to a ground station. Constraints on
Externí odkaz:
https://doaj.org/article/7d0606c81432401cae649e7b2b48adc9
Autor:
Nicolas Traut, Katja Heuer, Guillaume Lemaître, Anita Beggiato, David Germanaud, Monique Elmaleh, Alban Bethegnies, Laurent Bonnasse-Gahot, Weidong Cai, Stanislas Chambon, Freddy Cliquet, Ayoub Ghriss, Nicolas Guigui, Amicie de Pierrefeu, Meng Wang, Valentina Zantedeschi, Alexandre Boucaud, Joris van den Bossche, Balázs Kegl, Richard Delorme, Thomas Bourgeron, Roberto Toro, Gaël Varoquaux
Publikováno v:
NeuroImage, Vol 255, Iss , Pp 119171- (2022)
MRI has been extensively used to identify anatomical and functional differences in Autism Spectrum Disorder (ASD). Yet, many of these findings have proven difficult to replicate because studies rely on small cohorts and are built on many complex, und
Externí odkaz:
https://doaj.org/article/1fea146ac4c34cb3954bdb6784be4e75
Autor:
Monique Elmaleh, Freddy Cliquet, Nicolas Guigui, David Germanaud, Ayoub Ghriss, Balázs Kégl, Anita Beggiato, Roberto Toro, Richard Delorme, Amicie de Pierrefeu, Valentina Zantedeschi, Joris Van den Bossche, Nicolas Traut, Laurent Bonasse-Gahot, Alexandre Boucaud, Alban Bethegies, Guillaume Lemaitre, Thomas Bourgeron, Katja Heuer, Meng Wang, Gael Varauquaux, Weidong Cai, Stanislas Chambon
Publikováno v:
NeuroImage
NeuroImage, Elsevier, 2022, 255, pp.119171. ⟨10.1016/j.neuroimage.2022.119171⟩
NeuroImage, 2022, 255, pp.119171. ⟨10.1016/j.neuroimage.2022.119171⟩
NeuroImage, Elsevier, 2022, 255, pp.119171. ⟨10.1016/j.neuroimage.2022.119171⟩
NeuroImage, 2022, 255, pp.119171. ⟨10.1016/j.neuroimage.2022.119171⟩
MRI has been extensively used to identify anatomical and functional differences in Autism Spectrum Disorder (ASD). Yet, many of these findings have proven difficult to replicate because studies rely on small cohorts and are built on many complex, und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::16f2cfae0d811c5bca38d72bf01cd1a0
https://hdl.handle.net/21.11116/0000-000A-51C0-121.11116/0000-000A-51BE-5
https://hdl.handle.net/21.11116/0000-000A-51C0-121.11116/0000-000A-51BE-5
Autor:
Christian Schroeder de Witt, Catherine Tong, Valentina Zantedeschi, Daniele De Martini, Alfredo Kalaitzis, Matthew Chantry, Duncan Watson-Parris, Piotr Bilinski
Publikováno v:
Proceedings of the AAAI Conference on Artificial Intelligence. 35:14902-14910
Extreme precipitation events, such as violent rainfall and hail storms, routinely ravage economies and livelihoods around the developing world. Climate change further aggravates this issue. Data-driven deep learning approaches could widen the access
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f83d3836b0f98d7f0e95dcfb4023b8a0
https://doi.org/10.1609/aaai.v35i17.17749
https://doi.org/10.1609/aaai.v35i17.17749
Autor:
Christian Schroeder de Witt, Daniele De Martini, Matthew Chantry, Piotr Bilinski, Alfredo Kalaitzis, Catherine Tong, Duncan Watson-Parris, Valentina Zantedeschi
Climate change is expected to aggravate extreme precipitation events, directly impacting the livelihood of millions. Without a global precipitation forecasting system in place, many regions – especially those constrained in resources to collect exp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3c3c1c797a4dd8dda8d62b3d8c6a0c3b
https://doi.org/10.5194/egusphere-egu21-1762
https://doi.org/10.5194/egusphere-egu21-1762
Autor:
Léo Gautheron, Emilie Morvant, Valentina Zantedeschi, Guillaume Metzler, Amaury Habrard, Marc Sebban, Pascal Germain
Publikováno v:
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent, Belgium
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030676636
ECML/PKDD (3)
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Sep 2020, Ghent, Belgium
Machine Learning and Knowledge Discovery in Databases ISBN: 9783030676636
ECML/PKDD (3)
International audience; This paper jointly leverages two state-of-the-art learning strategies gradient boosting (GB) and kernel Random Fourier Features (RFF)-to address the problem of kernel learning. Our study builds on a recent result showing that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::561fae720dd92913ba15131ed3faf63f
https://hal.archives-ouvertes.fr/hal-02900044
https://hal.archives-ouvertes.fr/hal-02900044
Publikováno v:
CVPR
CVPR2016
CVPR2016, Jun 2016, Las Vegas, United States
CVPR2016
CVPR2016, Jun 2016, Las Vegas, United States
International audience; Over the past ten years, metric learning allowed the improvement of numerous machine learning approaches that manipulate distances or similarities.In this field, local metric learning has been shown to be very efficient, espec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83d55b06dd725192cd24a4e98ec08df0
https://doi.org/10.1109/cvpr.2016.164
https://doi.org/10.1109/cvpr.2016.164
Publikováno v:
Toxicologic pathology. 43(2)
Brain trimming through defined neuroanatomical landmarks is recommended to obtain consistent sections in rat toxicity studies. In this article, we describe a matrix-guided trimming protocol that uses channels to reproduce coronal levels of anatomical
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::be33aff21c91e1cfe0ced080366d4e13
https://pubmed.ncbi.nlm.nih.gov/24947989
https://pubmed.ncbi.nlm.nih.gov/24947989
Autor:
Emilio Merlo Pich, Andrea Terron, Valentina Zantedeschi, Bernd Bunnemann, Cristian Chiamulera
Publikováno v:
European Journal of Pharmacology. 393:249-253
Region-specific decreases of neurofilament proteins have been described in the ventral tegmental area of rats chronically treated with either morphine or cocaine. The aim of the present study was to assess if the levels of neurofilament proteins are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d2b8d3632fd13a8090bb9908959e5ac
https://doi.org/10.1016/s0014-2999(00)00104-7
https://doi.org/10.1016/s0014-2999(00)00104-7