Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Curier, Lyana"'
Autor:
Dooney, Tom, Curier, Lyana, Tan, Daniel, Lopez, Melissa, Broeck, Chris Van Den, Bromuri, Stefano
Simulating realistic time-domain observations of gravitational waves (GWs) and GW detector glitches can help in advancing GW data analysis. Simulated data can be used in downstream tasks by augmenting datasets for signal searches, balancing data sets
Externí odkaz:
http://arxiv.org/abs/2401.16356
Simulating time-domain observations of gravitational wave (GW) detector environments will allow for a better understanding of GW sources, augment datasets for GW signal detection and help in characterizing the noise of the detectors, leading to bette
Externí odkaz:
http://arxiv.org/abs/2209.13592
Quality-sensitive applications of machine learning (ML) require quality assurance (QA) by humans before the predictions of an ML model can be deployed. QA for ML (QA4ML) interfaces require users to view a large amount of data and perform many interac
Externí odkaz:
http://arxiv.org/abs/2104.01129
Autor:
De Jong, Tim, Bromuri, Stefano, Chang, Xi, Debusschere, Marc, Rosenski, Natalie, Schartner, Clara, Strauch, Katharina, Boehmer, Marion, Curier, Lyana
This report presents the results of the DeepSolaris project that was carried out under the ESS action 'Merging Geostatistics and Geospatial Information in Member States'. During the project several deep learning algorithms were evaluated to detect so
Externí odkaz:
http://arxiv.org/abs/2009.05738
Autor:
Curier, Lyana
Les aérosols influencent le bilan radiatif global et les processus nuageux. Leurs propriétés optiques et physico-chimiques sont mesurées au sol avec une grande précision à l'échelle locale. Les satellites permettent un suivi des aérosols à d
Externí odkaz:
http://tel.archives-ouvertes.fr/tel-00730509
http://tel.archives-ouvertes.fr/docs/00/73/05/09/PDF/2008CLF21848.pdf
http://tel.archives-ouvertes.fr/docs/00/73/05/09/PDF/2008CLF21848.pdf
Akademický článek
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Many mission-critical applications of machine learning (ML) in the real-world require a quality assurance (QA) process before the decisions or predictions of an ML model can be deployed. Because QA4ML users have to view a non-trivial amount of data a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b839082f47845cba19a9c86244eb770b
http://arxiv.org/abs/2104.01129
http://arxiv.org/abs/2104.01129
Autor:
Quesada-Ruiz, Samuel, Attié, Jean-Luc, Lahoz, William A., Abida, Rachid, Ricaud, Philippe, El Amraoui, Laaziz, Zbinden, Regina, Piacentini, Andrea, Joly, Mathieu, Eskes, Henk, Segers, Arjo, Curier, Lyana, de Haan, Johan, Kujanpää, Jukka, Nijhuis, Albert C. P. O., Tamminen, Johanna, Timmermans, Renske, Veefkind, Pepijn
Externí odkaz:
http://hdl.handle.net/11250/2640929
Autor:
Timmermans, Renske, Segers, Arjo, Curier, Lyana, Abida, Rachid, Attié, Jean-Luc, Amraoui, Laaziz, Eskes, Henk, Haan, Johan, Kujanpää, Jukka, Lahoz, William, Oude Nijhuis, Albert, Quesada, Samuel, Ricaud, Philippe, Veefkind, Pepijn, Schaap, Martijn
We present an Observing System Simulation Experiment (OSSE) dedicated to the evaluation of the added value of the Sentinel 4 and Sentinel 5P missions for tropospheric nitrogen dioxide (NO2). Sentinel 4 is a geostationary (GEO) mission covering the Eu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=copernicuspu::1059ed87b518b70955a16c937ecc63ce
https://www.atmos-chem-phys-discuss.net/acp-2018-1360/
https://www.atmos-chem-phys-discuss.net/acp-2018-1360/
Autor:
Timmermans, Renske, Segers, Arjo, Curier, Lyana, Abida, Rachid, Attié, Jean-Luc, Lahoz, William A.
Externí odkaz:
http://hdl.handle.net/11250/2629351