Zobrazeno 1 - 10
of 2 900
pro vyhledávání: '"Fouche A"'
Autor:
Max A. Laansma, Yuji Zhao, Eva M. van Heese, Joanna K. Bright, Conor Owens-Walton, Sarah Al-Bachari, Tim J. Anderson, Francesca Assogna, Tim D. van Balkom, Henk W. Berendse, Fernando Cendes, John C. Dalrymple-Alford, Ines Debove, Michiel F. Dirkx, Jason Druzgal, Hedley C. A. Emsley, Jean-Paul Fouche, Gaëtan Garraux, Rachel P. Guimarães, Rick C. Helmich, Michele Hu, Odile A. van den Heuvel, Dmitry Isaev, Ho-Bin Kim, Johannes C. Klein, Christine Lochner, Corey T. McMillan, Tracy R. Melzer, Benjamin Newman, Laura M. Parkes, Clelia Pellicano, Fabrizio Piras, Toni L. Pitcher, Kathleen L. Poston, Mario Rango, Leticia F. Ribeiro, Cristiane S. Rocha, Christian Rummel, Lucas S. R. Santos, Reinhold Schmidt, Petra Schwingenschuh, Letizia Squarcina, Dan J. Stein, Daniela Vecchio, Chris Vriend, Jiunjie Wang, Daniel Weintraub, Roland Wiest, Clarissa L. Yasuda, Neda Jahanshad, Paul M. Thompson, Ysbrand D. van der Werf, Boris A. Gutman
Publikováno v:
npj Parkinson's Disease, Vol 10, Iss 1, Pp 1-13 (2024)
Abstract Alterations in subcortical brain regions are linked to motor and non-motor symptoms in Parkinson’s disease (PD). However, associations between clinical expression and regional morphological abnormalities of the basal ganglia, thalamus, amy
Externí odkaz:
https://doaj.org/article/0ad01d15502c49b4bbf825957015ee01
Autor:
Heyden, Marco, Fouché, Edouard, Arzamasov, Vadim, Fenn, Tanja, Kalinke, Florian, Böhm, Klemens
Change detection is of fundamental importance when analyzing data streams. Detecting changes both quickly and accurately enables monitoring and prediction systems to react, e.g., by issuing an alarm or by updating a learning algorithm. However, detec
Externí odkaz:
http://arxiv.org/abs/2306.12974
We study the stochastic Budgeted Multi-Armed Bandit (MAB) problem, where a player chooses from $K$ arms with unknown expected rewards and costs. The goal is to maximize the total reward under a budget constraint. A player thus seeks to choose the arm
Externí odkaz:
http://arxiv.org/abs/2306.07071
Autor:
Romero, Margarida, Heiser, Laurent, Lepage, Alexandre, Gagnebien, Anne, Bonjour, Audrey, Lagarrigue, Aurélie, Palaude, Axel, Boulord, Caroline, Gagneur, Charles-Antoine, Mercier, Chloé, Caucheteux, Christelle, Guidoni-Stoltz, Dominique, Tressols, Florence, Alexandre, Frédéric, Céci, Jean-François, Metral, Jean-François, Camponovo, Jérémy, Henry, Julie, Fouché, Laurent, Hodgkins, Lianne-Blue, Comte, Marie-Hélène, Durampart, Michel, Corieri, Patricia, Olry, Paul, Reboul, Pauline, Bonfils, Philippe, Amor, Sami Ben, Collin, Simon, Ciavaldini-Cartaut, Solange, Viéville, Thierry, Batifol, Victoire, Borgne, Yann-Aël Le
Publikováno v:
Canop{\'e}. Livre blanc, 2023
As part of the Digital Working Group (GTnum) #Scol_IA "Renewal of digital practices and creative uses of digital and AI" we are pleased to present the white paper "Teaching and learning in the era of Artificial Intelligence, Acculturation, integratio
Externí odkaz:
http://arxiv.org/abs/2303.06956
Publikováno v:
IUCrData, Vol 9, Iss 9, p x240885 (2024)
The molecular structure of C18H28O4, (+)-diplodiatoxin, is described, whereby the absolute configuration of the structure of diplodiatoxin has been confirmed by single-crystal X-ray diffraction. Diplodiatoxin crystallizes in the chiral P43212 space g
Externí odkaz:
https://doaj.org/article/7537e32d609a4aba94072fa6583e786f
Autor:
Catherine J. Wedderburn, Shunmay Yeung, Sivenesi Subramoney, Jean-Paul Fouche, Shantanu H. Joshi, Katherine L. Narr, Andrea M. Rehman, Annerine Roos, Diana M. Gibb, Heather J. Zar, Dan J. Stein, Kirsten A. Donald
Publikováno v:
BMC Medicine, Vol 22, Iss 1, Pp 1-15 (2024)
Abstract Background There is a growing population of children with in utero HIV exposure who are at risk of poor neurodevelopmental outcomes despite avoiding HIV infection. However, the underlying neurobiological pathways are not understood and neuro
Externí odkaz:
https://doaj.org/article/b3aab53c66c847c98cc87b84281cda4c
Autor:
Mirkes, Evgeny M, Bac, Jonathan, Fouché, Aziz, Stasenko, Sergey V., Zinovyev, Andrei, Gorban, Alexander N.
Publikováno v:
Entropy, 25(1), 33, 2023
Domain adaptation is a popular paradigm in modern machine learning which aims at tackling the problem of divergence (or shift) between the labeled training and validation datasets (source domain) and a potentially large unlabeled dataset (target doma
Externí odkaz:
http://arxiv.org/abs/2208.13290
Autor:
Fouche, Willem, Mukeru, Safari
In this paper we study the local times of Brownian motion from the point of view of algorithmic randomness. We introduce the notion of effective local time and show that any path which is Martin-L\"of random with respect to the Wiener measure has con
Externí odkaz:
http://arxiv.org/abs/2208.01877
We propose an extension of the well-known Space-Time Cube (STC) visualization technique in order to visualize time-varying 3D spatial data, taking advantage of the interaction capabilities of Virtual Reality (VR). The analysis of multidimensional tim
Externí odkaz:
http://arxiv.org/abs/2206.13213
Timelines are common visualizations to represent and manipulate temporal data, from historical events storytelling to animation authoring. However, timeline visualizations rarely consider spatio-temporal 3D data (e.g. mesh or volumetric models) direc
Externí odkaz:
http://arxiv.org/abs/2206.09910