AIMC Topic: Probability
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Optimizing Probability Threshold of Convolution Neural Network to Improve HRV-based Acute Stress Detection Performance.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
As stress is linked to numerous emotional and physical conditions, its timely detection and proper management is important for our health. Convolution neural network (CNN) has been shown to be promising in stress detection because it could automatica...
Enhancing the Accuracy of Glaucoma Detection from OCT Probability Maps using Convolutional Neural Networks.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
We describe and assess convolutional neural network (CNN) models for detection of glaucoma based upon optical coherence tomography (OCT) retinal nerve fiber layer (RNFL) probability maps. CNNs pretrained on natural images performed comparably to CNNs...
Deep Q-learning for Predicting Asthma Attack with Considering Personalized Environmental Triggers' Risk Scores.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
Jul 1, 2019
The purpose of our present study was to develop a forecasting method that would help asthmatic individuals to take evasive action when the probability of an attack was at THEIR PERSONAL THRESHOLD levels. The results are encouraging. Risk factor analy...
Common Audiological Functional Parameters (CAFPAs): statistical and compact representation of rehabilitative audiological classification based on expert knowledge.
International journal of audiology
Apr 1, 2019
OBJECTIVE: As a step towards objectifying audiological rehabilitation and providing comparability between different test batteries and clinics, the Common Audiological Functional Parameters (CAFPAs) were introduced as a common and abstract representa...
On discrete time Beverton-Holt population model with fuzzy environment.
Mathematical biosciences and engineering : MBE
Feb 21, 2019
In this work, dynamical behaviors of discrete time Beverton-Holt population model with fuzzy parameters are studied. It provides a flexible model to fit population data. For three different fuzzy parameters and fuzzy initial conditions, according to ...
Causal models adjusting for time-varying confounding-a systematic review of the literature.
International journal of epidemiology
Feb 1, 2019
BACKGROUND: Obtaining unbiased causal estimates from longitudinal observational data can be difficult due to exposure-affected time-varying confounding. The past decade has seen considerable development in methods for analysing such complex longitudi...
Application of a brain-computer interface for person authentication using EEG responses to photo stimuli.
Journal of integrative neuroscience
Aug 15, 2018
In this paper, a personal authentication system that can effectively identify individuals by generating unique electroencephalogram signal features in response to self-face and non-self-face photos is presented. To achieve performance stability, a se...
COSSMO: predicting competitive alternative splice site selection using deep learning.
Bioinformatics (Oxford, England)
Jul 1, 2018
MOTIVATION: Alternative splice site selection is inherently competitive and the probability of a given splice site to be used also depends on the strength of neighboring sites. Here, we present a new model named the competitive splice site model (COS...
Chiron: translating nanopore raw signal directly into nucleotide sequence using deep learning.
GigaScience
May 1, 2018
Sequencing by translocating DNA fragments through an array of nanopores is a rapidly maturing technology that offers faster and cheaper sequencing than other approaches. However, accurately deciphering the DNA sequence from the noisy and complex elec...
Testing the actual equivalence of automatically generated items.
Behavior research methods
Feb 1, 2018
If the automatic item generation is used for generating test items, the question of how the equivalence among different instances may be tested is fundamental to assure an accurate assessment. In the present research, the question was dealt by using ...
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