Results 11 to 20 of about 743,383 (345)

Compressing local atomic neighbourhood descriptors

npj Computational Materials, 2022
Many atomic descriptors are currently limited by their unfavourable scaling with the number of chemical elements S e.g. the length of body-ordered descriptors, such as the SOAP power spectrum (3-body) and the (ACE) (multiple body-orders), scales as (N S)
James P. Darby, James R. Kermode, Gábor Csányi   +2 more
doaj   +1 more source

The Role of Excitability and Network Structure in the Emergence of Focal and Generalized Seizures

Frontiers in Neurology, 2020
Epileptic seizures are generally classified as either focal or generalized. It had been traditionally assumed that focal seizures imply localized brain abnormalities, whereas generalized seizures involve widespread brain pathologies.
Marinho A. Lopes, Marinho A. Lopes, Marinho A. Lopes, Marinho A. Lopes, Marinho A. Lopes, Leandro Junges, Leandro Junges, Leandro Junges, Leandro Junges, Leandro Junges, Wessel Woldman, Wessel Woldman, Wessel Woldman, Wessel Woldman, Wessel Woldman, Marc Goodfellow, Marc Goodfellow, Marc Goodfellow, John R. Terry, John R. Terry, John R. Terry, John R. Terry, John R. Terry   +22 more
doaj   +1 more source

ESTIMATION OF SOLAR RADIATION ON BUILDING ROOFS IN MOUNTAINOUS AREAS [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
The aim of this study is estimating solar radiation on building roofs in complex mountain landscape areas. A multi-scale solar radiation estimation methodology is proposed that combines 3D data ranging from regional scale to the architectural one.
G. Agugiaro, F. Remondino, G. Stevanato, R. De Filippi, C. Furlanello   +4 more
doaj   +1 more source

Gaussian process model based predictive control [PDF]

, 2003
Gaussian process models provide a probabilistic non-parametric modelling approach for black-box identification of non-linear dynamic systems. The Gaussian processes can highlight areas of the input space where prediction quality is poor, due to the lack ...
,, Girard, A, Kocijan, J, Murray Smith, R, Rasmussen, CE   +4 more
core   +1 more source

Machine Learning in Falls Prediction; A cognition-based predictor of falls for the acute neurological in-patient population [PDF]

, 2016
Background Information: Falls are associated with high direct and indirect costs, and significant morbidity and mortality for patients. Pathological falls are usually a result of a compromised motor system, and/or cognition. Very little research has been
Bussas, Matthias, Doogan, Catherine, Király, Franz J, Mateen, Bilal A., Playford, E Diane, Saverino, Alessia, Waller, Denise   +6 more
core   +2 more sources

A U-Net Deep Learning Framework for High Performance Vessel Segmentation in Patients With Cerebrovascular Disease

Frontiers in Neuroscience, 2019
Brain vessel status is a promising biomarker for better prevention and treatment in cerebrovascular disease. However, classic rule-based vessel segmentation algorithms need to be hand-crafted and are insufficiently validated.
Michelle Livne, Michelle Livne, Jana Rieger, Orhun Utku Aydin, Abdel Aziz Taha, Ela Marie Akay, Tabea Kossen, Tabea Kossen, Jan Sobesky, Jan Sobesky, John D. Kelleher, Kristian Hildebrand, Dietmar Frey, Vince I. Madai, Vince I. Madai   +14 more
doaj   +1 more source

The cybernetic Bayesian brain: from interoceptive inference to sensorimotor contingencies [PDF]

, 2015
Is there a single principle by which neural operations can account for perception, cognition, action, and even consciousness? A strong candidate is now taking shape in the form of “predictive processing”.
Seth, Anil K
core   +2 more sources

Predictive Model Selection

Journal of the Royal Statistical Society Series B: Statistical Methodology, 1995
SUMMARY We consider the problem of selecting one model from a large class of plausible models. A predictive Bayesian viewpoint is advocated to avoid the specification of prior probabilities for the candidate models and the detailed interpretation of the parameters in each model.
Laud, Purushottam W., Ibrahim, Joseph G.
openaire   +2 more sources

Development and validation of computational models of cellular interaction [PDF]

, 2004
In this paper we take the view that computational models of biological systems should satisfy two conditions – they should be able to predict function at a systems biology level, and robust techniques of validation against biological models must be ...
Holcombe, W.M.L., Smallwood, R.H. [r.smallwood@shef.ac.uk], Walker, D.C.   +2 more
core   +1 more source

A Model-Based Assessment of the Seizure Onset Zone Predictive Power to Inform the Epileptogenic Zone

Frontiers in Computational Neuroscience, 2019
Epilepsy surgery is a clinical procedure that aims to remove the brain tissue responsible for the emergence of seizures, the epileptogenic zone (EZ). It is preceded by an evaluation to determine the brain tissue that must be resected.
Marinho A. Lopes, Marinho A. Lopes, Marinho A. Lopes, Marc Goodfellow, Marc Goodfellow, Marc Goodfellow, John R. Terry, John R. Terry, John R. Terry   +8 more
doaj   +1 more source