Zobrazeno 1 - 10
of 12 638
pro vyhledávání: '"de Rooij A"'
Autor:
de Rooij, Steven A. H., Fermin, Remko, Kouwenhoven, Kevin, Coppens, Tonny, Murugesan, Vignesh, Thoen, David J., Aarts, Jan, Baselmans, Jochem J. A., de Visser, Pieter J.
Disordered superconductors offer new impedance regimes for quantum circuits, enable a pathway to protected qubits and improve superconducting single photon detectors due to their high kinetic inductance and sheet resistance. However, the relaxation o
Externí odkaz:
http://arxiv.org/abs/2410.18802
Recent developments in wearable devices have made accurate and efficient seizure detection more important than ever. A challenge in seizure detection is that patient-specific models typically outperform patient-independent models. However, in a weara
Externí odkaz:
http://arxiv.org/abs/2408.00437
In this paper, we propose the generalized mixed reduced rank regression method, GMR$^3$ for short. GMR$^3$ is a regression method for a mix of numeric, binary and ordinal response variables. The predictor variables can be a mix of binary, nominal, or
Externí odkaz:
http://arxiv.org/abs/2405.19865
Autor:
Hering, Alessa, de Boer, Sarah, Saha, Anindo, Twilt, Jasper J., Heinrich, Mattias P., Yakar, Derya, de Rooij, Maarten, Huisman, Henkjan, Bosma, Joeran S.
The PI-CAI (Prostate Imaging: Cancer AI) challenge led to expert-level diagnostic algorithms for clinically significant prostate cancer detection. The algorithms receive biparametric MRI scans as input, which consist of T2-weighted and diffusion-weig
Externí odkaz:
http://arxiv.org/abs/2404.09666
Autor:
de Rooij, Mark
In this paper, we propose to decompose the canonical parameter of a multinomial model into a set of participant scores and category scores. Both sets of scores are linearly constraint to represent external information about the participants and categ
Externí odkaz:
http://arxiv.org/abs/2402.07634
We present a multidimensional data analysis framework for the analysis of ordinal response variables. Underlying the ordinal variables, we assume a continuous latent variable, leading to cumulative logit models. The framework includes unsupervised me
Externí odkaz:
http://arxiv.org/abs/2402.07629
We propose a new mapping tool for supervised and unsupervised analysis of multivariate binary data with multiple items, questions, or response variables. The mapping assumes an underlying proximity response function, where participants can have multi
Externí odkaz:
http://arxiv.org/abs/2402.07624
Autor:
Kouwenhoven, K., van Doorn, G. P. J., Buijtendorp, B. T., de Rooij, S. A. H., Lamers, D., Thoen, D. J., Murugesan, V., Baselmans, J. J. A., de Visser, P. J.
Publikováno v:
Phys.Rev.Appl. 21 (2024) 044036
Parallel plate capacitors (PPC) significantly reduce the size of superconducting microwave resonators, reducing the pixel pitch for arrays of single photon energy-resolving kinetic inductance detectors (KIDs). The frequency noise of KIDs is typically
Externí odkaz:
http://arxiv.org/abs/2311.12681
A quantifier is a supervised machine learning algorithm, focused on estimating the class prevalence in a dataset rather than labeling its individual observations. We introduce Continuous Sweep, a new parametric binary quantifier inspired by the well-
Externí odkaz:
http://arxiv.org/abs/2308.08387
Autor:
Charlotte Andriessen, Marieke T. Blom, Beryl A. C. E. van Hoek, Anna W. de Boer, Petra Denig, G. Ardine de Wit, Karin Swart, Angela de Rooij-Peek, Rob J. van Marum, Jacqueline G. Hugtenburg, Pauline Slottje, Daniël van Raalte, Liselotte van Bloemendaal, Ron Herings, Giel Nijpels, Rimke C. Vos, Petra J. M. Elders
Publikováno v:
Trials, Vol 25, Iss 1, Pp 1-15 (2024)
Abstract Background Older patients with type 2 diabetes mellitus (T2D) have an increased risk of hypoglycaemic episodes when using sulphonylureas or insulin. In the Netherlands, guidelines exist for reducing glucose-lowering medication in older patie
Externí odkaz:
https://doaj.org/article/cf72caee8a31466bafd4375690a70f20
