Zobrazeno 1 - 10
of 44
pro vyhledávání: '"Carvalho, João P. S."'
Anomaly detection (AD) is the machine learning task of identifying highly discrepant abnormal samples by solely relying on the consistency of the normal training samples. Under the constraints of a distribution shift, the assumption that training sam
Externí odkaz:
http://arxiv.org/abs/2312.14329
We analyze a periodically-forced dynamical system inspired by the SIR model with impulsive vaccination. We fully characterize its dynamics according to the proportion $p$ of vaccinated individuals and the time $T$ between doses. If the basic reproduc
Externí odkaz:
http://arxiv.org/abs/2312.02306
Autor:
Klein, Lukas, Carvalho, João B. S., El-Assady, Mennatallah, Penna, Paolo, Buhmann, Joachim M., Jaeger, Paul F.
Publikováno v:
Proceedings of The 5th International Conference on Medical Imaging with Deep Learning, PMLR 172:689-712, 2022
Explainable AI aims to render model behavior understandable by humans, which can be seen as an intermediate step in extracting causal relations from correlative patterns. Due to the high risk of possible fatal decisions in image-based clinical diagno
Externí odkaz:
http://arxiv.org/abs/2306.09035
There are few adapted SIR models in the literature that combine vaccination and logistic growth. In this article, we study bifurcations of a SIR model where the class of Susceptible individuals grows logistically and has been subject to constant vacc
Externí odkaz:
http://arxiv.org/abs/2211.16339
Coronavirus disease 2019 (CoViD-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Among many symptoms, cough, fever and tiredness are the most common. People over 60 years old and with associated com
Externí odkaz:
http://arxiv.org/abs/2104.04301
We analyze a multiparameter periodically-forced dynamical system inspired in the SIR endemic model. We show that the condition on the \emph{basic reproduction number} $\mathcal{R}_0 < 1$ is not sufficient to guarantee the elimination of \emph{Infecti
Externí odkaz:
http://arxiv.org/abs/2103.13160
In clinical practice, regions of interest in medical imaging often need to be identified through a process of precise image segmentation. The quality of this image segmentation step critically affects the subsequent clinical assessment of the patient
Externí odkaz:
http://arxiv.org/abs/2103.11713
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Akademický článek
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Publikováno v:
Qualitative Theory of Dynamical Systems; Sep2023, Vol. 22 Issue 3, p1-32, 32p