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Št. zadetkov: 119
Perinatal derivatives
Ana I. Flores, Caterina Pipino, Urška Dragin, Sergio Liarte, Florelle Gindraux, Mateja Erdani-Kreft, Francisco J. Nicolas, Assunta Pandolfi, Larisa Tratnjek, Bernd Giebel
Pregledni znanstveni članek
Oznake: perinatalni derivati ​​;terapevtska vloga;imunomodulacija;perinatal derivatives;therapeutic role;immunomodulation;
Perinatal derivatives (PnD) are birth-associated tissues, such as placenta, umbilical cord, amniotic and chorionic membrane, and thereof-derived cells as well as secretomes. PnD play an increasing therapeutic role with beneficial effects on the treatment of various diseases. The aim of this review i ...
Leto: 2022 Vir: Medicinska fakulteta (UL MF)
Proceedings of the Twenty-third Annual Symposium on Sea Turtle Biology and Conservation
Nicolas J. Pilcher
Ni določena
Oznake:
Proceedings of the Twenty-third Annual Symposium on Sea Turtle Biology and Conservation
Leto: 2006 Vir: Repozitorij Univerze na Primorskem (RUP)
Trends and repetition of non-fatal suicidal behaviour
Kairi Kölves, David Crompton, Kathryn Turner, Nicolas J. C. Stapelberg, Ashar Khan, Gail Robinson, Diego De Leo
Izvirni znanstveni članek
Oznake: non-fatal suicidal behaviour;trends;repetition;
Trends and repetition of non-fatal suicidal behaviour
Leto: 2018 Vir: Univerza na Primorskem (UP)
Table ronde: Le point de vue des industriels sur le transfert et l'innovation
Fabien Poulard , Nicolas Averseng , Nicolas Penet , Jean-Pierre Bayol , Nicolas Carboni
Video in druga učna gradiva
Oznake: social sciences;society;information society
Cette table ronde comportait deux thèmes ; l'un donnait la parole à des industriels sur le transfert et l'innovation : tout d'abord Fabien Poulard qui a créé une startup, Dictanova, après son doctorat et qui est revenu sur la genèse de son entreprise. Puis, Nicolas Averseng, responsable de la R&D ch ...
Leto: 2013 Vir: videolectures.net
Modeling the S&P 500 Index using the Kalman Filter and the LagLasso
Nicolas Mahler
Video in druga učna gradiva
Oznake: social sciences;economics;computer science;machine learning;mathematics;statistics
This video introduces a method to predict upward and downward monthly variations of the S&P 500 index by using a pool of macro-economic and financial explicative variables. The method is based on the combination of a denoising step, performed by Kalman filtering, with a variable selection step, perf ...
Leto: 2009 Vir: videolectures.net
IFA for the Diagnosis of a Railway Infrastructure Device in a Semi-Supervised Learning
Nicolas Cheifetz
Video in druga učna gradiva
Oznake:
Leto: 2009 Vir: videolectures.net
Learning generative texture models with extended Fields-of-Experts
Nicolas Heess
Video in druga učna gradiva
Oznake: computer science;machine learning;computer vision;image analysis
Leto: 2009 Vir: videolectures.net
Deformable Tracking of Textured Curvilinear Objects
Nicolas Padoy
Video in druga učna gradiva
Oznake: computer science;computer vision
The evaluation and automation of tasks involving the manipulation of deformable curvilinear objects, such as threads and cables, requires the real-time estimation of the 3D shapes of these objects from images. This estimation is however extremely challenging due to the small amount of available visu ...
Leto: 2012 Vir: videolectures.net
Can attractor network models account for the statistics of firing during persistent activity in prefrontal cortex?
Nicolas Brunel
Video in druga učna gradiva
Oznake: science;complexity science
Persistent activity observed in neurophysiological experiments in monkeys is thought to be the neuronal correlate of working memory. Over the last decade, network modelers have strived to reproduce the main features of these experiments. In particular, attractor network models have been proposed in ...
Leto: 2008 Vir: videolectures.net
Invited Talk: Empirical Risk Minimization with Statistics of Higher Order with Examples from Bipartite Ranking
Nicolas Vayatis
Video in druga učna gradiva
Oznake: computer science;machine learning;statistical learning
Statistical learning theory was mainly developed in the framework of binary classification under the assumption that observations in the training set form an i.i.d. sample. The techniques involved in order to provide statistical guarantees for state-of-the-art learning algorithms are borrowed from t ...
Leto: 2009 Vir: videolectures.net
Št. zadetkov: 119
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