Results 21 to 30 of about 127,481 (314)
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 +8 more
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Modeling program predictability [PDF]
ACM SIGARCH Computer Architecture News, 1998 Basic properties of program predictability --- for both values and control --- are defined and studied. We take the view that program predictability originates at certain points during a program's execution, flows through subsequent instructions, and then ends at other points in the program. These key components of predictability:
Yiannakis Sazeides, James E. Smith 0001
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Predictive Spatial Modelling [PDF]
, 2020 Predictive modelling is a set of techniques, used since the 1970s, to predict the location of archaeological sites in uninvestigated areas as an aid to spatial planning, for example, in Cultural Resource Management.
Whitley, T.G. +1 more
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Using deep clustering to improve fMRI dynamic functional connectivity analysis
NeuroImage, 2022 Dynamic functional connectivity (dFC) analysis of resting-state fMRI data is commonly performed by calculating sliding-window correlations (SWC), followed by k-means clustering in order to assign each window to a given state. Studies using synthetic data
Arthur P.C. Spencer, Marc Goodfellow
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Prediction Algorithm for State Prediction Model
Journal of Computers, 2012 Dynamic Bayesian network is the extension of Bayesian network in solving time series problems .It can be well dealt with the time-varying multivariable problem. A state model is given based on Dynamic Bayesian network. The model can more accurately describe the relationship between the system state and the influencing factors.
Zili Zhang +3 more
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Dynamic Hormone Control of Stress and Fertility
Frontiers in Physiology, 2020 Neuroendocrine axes display a remarkable diversity of dynamic signaling processes relaying information between the brain, endocrine glands, and peripheral target tissues.
Eder Zavala +13 more
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Elevated Ictal Brain Network Ictogenicity Enables Prediction of Optimal Seizure Control
Frontiers in Neurology, 2018 Recent studies have shown that mathematical models can be used to analyze brain networks by quantifying how likely they are to generate seizures.
Marinho A. Lopes +14 more
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Clinical prediction models [PDF]
British Journal of Surgery, 2016 Clinical prediction models (also known as prognostic models, risk scores) are mathematical equations that relate multiple predictors (risk factors, co-variates) to the probability of having a disease or condition (diagnostic) or the probability that an event will happen in the future (prognostic).
Ranstam, J, Cook, J, Collins, G
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A predictive coding model of the N400 [PDF]
Cognition, 2023 Abstract The N400 event-related component has been widely used to investigate the neural mechanisms underlying real-time language comprehension. However, despite decades of research, there is still no unifying theory that can explain both its temporal dynamics and functional properties.
Samer Nour Eddine +4 more
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The Changing Landscape of Financial Credit Risk Models
International Journal of Financial Studies, 2023 The landscape of financial credit risk models is changing rapidly. This study takes a brief look into the future of predictive modelling by considering some factors that influence financial credit risk modelling. The first factor is machine learning.
Tanja Verster, Erika Fourie
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