Results 191 to 200 of about 199,039 (272)
ARA: accurate, reliable and active histopathological image classification framework with Bayesian deep learning. [PDF]
Rączkowska A +3 more
europepmc +1 more source
ABSTRACT Existing literature suggests that differences between autistic and non‐autistic people in emotion recognition might be related to differences in how these groups experience emotions themselves. Specifically, autistic individuals may show differences in the consistency of emotional experiences, the ability to distinguish between emotions, and ...
Connor Tom Keating +2 more
wiley +1 more source
Leveraging Bayesian deep learning and ensemble methods for uncertainty quantification in image classification: A ranking-based approach. [PDF]
Abdullah AA, Hassan MM, Mustafa YT.
europepmc +1 more source
Wearable IoT Smart-Log Patch: An Edge Computing-Based Bayesian Deep Learning Network System for Multi Access Physical Monitoring System. [PDF]
Manogaran G +6 more
europepmc +1 more source
ABSTRACT Parental stress influences parent–child interactions in typical development and is a prognostic factor of autism outcome. However, we still do not know to what extent parental stress affects parent–child interactions and whether caregiver role matters.
Maria Grazia Logrieco +11 more
wiley +1 more source
Abstract Aims This study aimed to develop and validate a population pharmacokinetic‐pharmacodynamic (pop‐PK‐PD) model to describe carboplatin‐induced myelosuppression in cancer patients and support dose individualization. Methods Data from 580 cancer patients treated with carboplatin at Amsterdam UMC between 2019 and 2022 were used for model ...
Alessandro De Carlo +10 more
wiley +1 more source
Abstract Research evidence is mixed on the consequences of ability grouping policies, but most research has found an overrepresentation of disadvantaged social demographics in low‐ability groups. However, researchers have neglected to explain why ability grouping policies vary between countries.
Monica Reichenberg +2 more
wiley +1 more source
A Guide to Bayesian Optimization in Bioprocess Engineering
ABSTRACT Bayesian optimization has become widely popular across various experimental sciences due to its favorable attributes: it can handle noisy data, perform well with relatively small data sets, and provide adaptive suggestions for sequential experimentation.
Maximilian Siska +5 more
wiley +1 more source
Gaussian Processes for Predictive QSAR Modeling of Chromatographic Processes
ABSTRACT Chromatography is a key unit operation in the biopharmaceutical manufacturing process used for protein purification and polishing. Design and optimization of these processes are resource‐intensive resulting from the complex combinatorial design space.
Harini Narayanan +7 more
wiley +1 more source
Continual decision‐making dynamics across biological organisms
ABSTRACT Decision‐making is a central function of adaptive behaviour in biological agents. However, strategies for adaptive decision‐making can vary substantially across species. Here, we aim to extend the comparative scope of decision‐making analyses to phylogenetically diverse organisms.
Liberty Severs, Qiuran Wang
wiley +1 more source

