Fig A. Model Recovery for Core Models. Fig B. Model Recovery for Models Used To Compare Parameter Settings Across Modalities (DOCX)</p
(a) Recovery rates across families. Rows represent true models/families (used to simulate data), and...
<p> Two samples of patient-specific 3D LV mesh model before and after dual and free form geometric d...
<p>Model parameters, their symbols, and nominal values for two parameter sets.</p
Fig A. Parameter Recovery for Common Settings Model. Fig B. Parameter Recovery for Different Noise S...
Numbers and colours denote the probability that the data generated with model X (x-axis) are best fi...
Contains one figure: Fig A. Simulated and Recovered Learning Rate (α) and Leaky Memory (ί) Parameter...
Detailed description of model validation including model comparison, parameter recovery, model formu...
Rows represent the datasets in which the given model was best-fitting and each column within a row i...
Pearson correlation matrices between generative parameters and fitted parameters in dependence of di...
Table A. Category and Confidence Model-Free GLMMs With Data From All Tasks and Modalities. Fig A. Ca...
<p>Numbers shown for the parameters are MAPEs between the values used to synthesize an image in the ...
Rows represent generative models and each column within a row indicates the probability that a datas...
A. Static analysis model. B. Modal analysis model. C. Dynamic analysis model.</p
Tools are established for evaluating the deficiency of parameter-redundant models.Examples are provi...
Logistic regression investigating the impact of service model type on recovery outcome and demograph...
(a) Recovery rates across families. Rows represent true models/families (used to simulate data), and...
<p> Two samples of patient-specific 3D LV mesh model before and after dual and free form geometric d...
<p>Model parameters, their symbols, and nominal values for two parameter sets.</p
Fig A. Parameter Recovery for Common Settings Model. Fig B. Parameter Recovery for Different Noise S...
Numbers and colours denote the probability that the data generated with model X (x-axis) are best fi...
Contains one figure: Fig A. Simulated and Recovered Learning Rate (α) and Leaky Memory (ί) Parameter...
Detailed description of model validation including model comparison, parameter recovery, model formu...
Rows represent the datasets in which the given model was best-fitting and each column within a row i...
Pearson correlation matrices between generative parameters and fitted parameters in dependence of di...
Table A. Category and Confidence Model-Free GLMMs With Data From All Tasks and Modalities. Fig A. Ca...
<p>Numbers shown for the parameters are MAPEs between the values used to synthesize an image in the ...
Rows represent generative models and each column within a row indicates the probability that a datas...
A. Static analysis model. B. Modal analysis model. C. Dynamic analysis model.</p
Tools are established for evaluating the deficiency of parameter-redundant models.Examples are provi...
Logistic regression investigating the impact of service model type on recovery outcome and demograph...
(a) Recovery rates across families. Rows represent true models/families (used to simulate data), and...
<p> Two samples of patient-specific 3D LV mesh model before and after dual and free form geometric d...
<p>Model parameters, their symbols, and nominal values for two parameter sets.</p
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