Zobrazeno 1 - 10
of 45 385
pro vyhledávání: '"Es, P."'
Autor:
Arends, Bauke, Vessies, Melle, van Osch, Dirk, Teske, Arco, van der Harst, Pim, van Es, René, van Es, Bram
Clinical machine learning research and AI driven clinical decision support models rely on clinically accurate labels. Manually extracting these labels with the help of clinical specialists is often time-consuming and expensive. This study tests the f
Externí odkaz:
http://arxiv.org/abs/2408.06930
Our goal is to investigate the charged Higgs phenomenology in the framework of 2HDM at the upcoming $e^+e^-$ and muon colliders. We are primarily concerned with the associated production processes with a fermion pair: $\ell^+ \ell^- \to \tau^+ \nu_{\
Externí odkaz:
http://arxiv.org/abs/2408.13952
Autor:
Qureshi, Rameez, Es-Sebbani, Naïm, Galárraga, Luis, Graham, Yvette, Couceiro, Miguel, Bouraoui, Zied
With the introduction of (large) language models, there has been significant concern about the unintended bias such models may inherit from their training data. A number of studies have shown that such models propagate gender stereotypes, as well as
Externí odkaz:
http://arxiv.org/abs/2408.09489
We study a two-field model where a quintessence field with an exponential potential $e^{-\beta\phi/M_P}$ is coupled to the Higgs field. It is claimed that this model is consistent with the proposed Swampland conjecture. We check this claim by calcula
Externí odkaz:
http://arxiv.org/abs/2406.15790
Autor:
Mattsson, Carolina ES
Growing network models can potentially be a useful tool in the development of economic theory. This work introduces an "opportunistic attachment" mechanism where incoming nodes, in deciding where to join a network, consider features of the entry poin
Externí odkaz:
http://arxiv.org/abs/2406.11405
Darija Open Dataset (DODa) represents an open-source project aimed at enhancing Natural Language Processing capabilities for the Moroccan dialect, Darija. With approximately 100,000 entries, DODa stands as the largest collaborative project of its kin
Externí odkaz:
http://arxiv.org/abs/2405.13016
We investigate the influence of the reheating temperature of the visible sector on the freeze-in dark matter (DM) benchmark model for direct detection experiments, where DM production is mediated by an ultralight dark photon. Here we consider a new r
Externí odkaz:
http://arxiv.org/abs/2405.06226
Deep learning techniques can be used to first training unsupervised models on large amounts of unlabelled data, before fine-tuning the models on specific tasks. This approach has seen massive success for various kinds of data, e.g. images, language,
Externí odkaz:
http://arxiv.org/abs/2404.09256
Autor:
Buhl, ES, Maae, E, Matthiessen, LW, Nielsen, MH, Maraldo, M, Møller, M, Elleberg, S, Al-Rawi, SAJ, Offersen, BV, Korreman, SS
The aim of this study was to investigate the difference in output, when training a model in three different scenarios: a large clinical delineated data set (with 700/78 patients for training/testing, from the Danish Breast Cancer Group (DBCG) RT Nati
Externí odkaz:
http://arxiv.org/abs/2404.03369
Curved free shear layers emerge in many engineering problems involving complex flow geometries, such as the flow over a backward facing step, flows with wall injection in a boundary layer, the flow inside side-dump combustors, or wakes generated by v
Externí odkaz:
http://arxiv.org/abs/2403.02435