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7 papers · 1 filter
Multiple Instance Learning: A Survey of Problem Characteristics and Applications
Marc-André Carbonneau, Veronika Cheplygina, Eric Granger +1
Multiple instance learning (MIL) is a form of weakly supervised learning where training instances are arranged in sets, called bags, and a label is provided for the entire bag. Thi…
BrainFrame: A node-level heterogeneous accelerator platform for neuron simulations
Georgios Smaragdos, Georgios Chatzikonstantis, Rahul Kukreja +8
Objective: The advent of High-Performance Computing (HPC) in recent years has led to its increasing use in brain study through computational models. The scale and complexity of suc…
Detecting functional decline from normal ageing to dementia: development and validation of a short version of the Amsterdam IADL Questionnaire
Roos J. Jutten, Carel F. W. Peeters, Sophie M. J. Leijdesdorff +5
INTRODUCTION: Detecting functional decline from normal ageing to dementia is relevant for diagnostic and prognostic purposes. Therefore, the Amsterdam IADL Questionnaire (A-IADL-Q)…
The choice of effect measure for binary outcomes: Introducing counterfactual outcome state transition parameters
Anders Huitfeldt, Andrew Goldstein, Sonja A. Swanson
Standard measures of effect, including the risk ratio, the odds ratio, and the risk difference, are associated with a number of well-described shortcomings, and no consensus exists…
Effect heterogeneity and variable selection for standardizing causal effects to a target population
Anders Huitfeldt, Sonja A. Swanson, Mats Julius Stensrud +1
The participants in randomized trials and other studies used for causal inference are often not representative of the populations seen by clinical decision-makers. To account for d…
Improved Dynamic Predictions from Joint Models of Longitudinal and Survival Data with Time-Varying Effects using P-splines
Eleni-Rosalina Andrinopoulou, Paul H. C. Eilers, Johanna J. M. Takkenberg +1
In the field of cardio-thoracic surgery, valve function is monitored over time after surgery. The motivation for our research comes from a study which includes patients who receive…