Zobrazeno 1 - 10
of 1 660
pro vyhledávání: '"Friso P"'
Autor:
Yousra J. Dakkak, Bastiaan T. van Dijk, Friso P. Jansen, Lambertus J. Wisse, Monique Reijnierse, Annette H. M. van der Helm-van Mil, Marco C. DeRuiter
Publikováno v:
Arthritis Research & Therapy, Vol 24, Iss 1, Pp 1-5 (2022)
Abstract MRI-detected inflammation around the extensor tendons of metacarpophalangeal (MCP-) joints is prevalent in RA and poses a markedly increased risk of RA development when present in arthralgia patients. Such inflammation is called ‘peritendi
Externí odkaz:
https://doaj.org/article/93e66835ff3b41acba8de2d8f561f364
Autor:
Groote, Jan Friso, Martens, Jan
We show that deciding simulation equivalence and simulation preorder have quadratic lower bounds assuming that the Strong Exponential Time Hypothesis holds. This is in line with the best know quadratic upper bounds of simulation equivalence. This mea
Externí odkaz:
http://arxiv.org/abs/2411.14067
Autor:
Alfarano, Andrea, Alfarano, Alberto, Friso, Linda, Bacciu, Andrea, Amerini, Irene, Silvestri, Fabrizio
Spatio-Temporal predictive Learning is a self-supervised learning paradigm that enables models to identify spatial and temporal patterns by predicting future frames based on past frames. Traditional methods, which use recurrent neural networks to cap
Externí odkaz:
http://arxiv.org/abs/2411.10198
We propose Pullback Flow Matching (PFM), a novel framework for generative modeling on data manifolds. Unlike existing methods that assume or learn restrictive closed-form manifold mappings for training Riemannian Flow Matching (RFM) models, PFM lever
Externí odkaz:
http://arxiv.org/abs/2410.04543
Autor:
Benoît Henry, Geoffroy Volle, Hilaire Akpovi, Laure Gineau, Camille Roussel, Papa Alioune Ndour, Félicien Tossou, Felipe Suarez, Friso Palstra, Aurélie Fricot, Charlotte Chambrion, Julien Solinc, Julie Nguyen, Mathilde Garé, Florentin Aussenac, Charles-Henry Cottart, Christine Keyser, Rafiou Adamou, Magali Tichit, David Hardy, Nadine Fievet, Jérôme Clain, André Garcia, David Courtin, Olivier Hermine, Audrey Sabbagh, Pierre Buffet
Publikováno v:
EBioMedicine, Vol 82, Iss , Pp 104167- (2022)
Summary: Background: In malaria-endemic areas, subjects from specific groups like Fulani have a peculiar protection against malaria, with high levels of IgM but also frequent anaemia and splenomegaly. The mechanisms underlying this phenotype remain e
Externí odkaz:
https://doaj.org/article/44ce45a575c74486830d8723e954cac6
Autor:
Groote, Jan Friso, Willemse, Tim A. C.
In 1864 W.S.B. Woolhouse formulated the Cotton-Spinning problem. This problem boils down to the following. A piecer works at a spinning mule and walks back and forth to repair broken threads. The question is how far the piecer is expected to walk whe
Externí odkaz:
http://arxiv.org/abs/2408.12623
Recent advancements in natural language processing (NLP) have led to automation in various domains. However, clinical NLP often relies on benchmark datasets that may not reflect real-world scenarios accurately. Automatic ICD coding, a vital NLP task,
Externí odkaz:
http://arxiv.org/abs/2407.17230
Autor:
Beeravolu, Abhijith R., Masters, Ian Brent, Jonkman, Mirjam, Yeo, Kheng Cher, Prountzos, Spyridon, Thomas, Rahul J, Ignatious, Eva, Azam, Sami, McCallum, Gabrielle B, Alexopoulou, Efthymia, Chang, Anne B, De Boer, Friso
The diagnosis of bronchiectasis requires measuring abnormal bronchial dilation. It is confirmed using a chest CT scan, where the key feature is an increased broncho-arterial ratio (BAR) (>0.8 in children), often with bronchial wall thickening. Image
Externí odkaz:
http://arxiv.org/abs/2407.13183
Slot machines can have fairly complex behaviour. Determining the RTP (return to player) can be involved, especially when a player has an influence on the course of the game. In this paper we model the behaviour of slot machines using probabilistic pr
Externí odkaz:
http://arxiv.org/abs/2407.06809
Autor:
Ruis, Frank A., Liezenga, Alma M., Heslinga, Friso G., Ballan, Luca, Eker, Thijs A., Hollander, Richard J. M. den, van Leeuwen, Martin C., Dijk, Judith, Huizinga, Wyke
Collecting and annotating real-world data for the development of object detection models is a time-consuming and expensive process. In the military domain in particular, data collection can also be dangerous or infeasible. Training models on syntheti
Externí odkaz:
http://arxiv.org/abs/2405.19822