AIMC Topic: Biometry

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A statistical framework for biomedical literature mining.

Statistics in medicine Jul 4, 2017
In systems biology, it is of great interest to identify new genes that were not previously reported to be associated with biological pathways related to various functions and diseases. Identification of these new pathway-modulating genes does not onl...
Sphingolipids Data Mining Markov Chains Reproducibility of Results Systems Biology Bayes Theorem Gene Ontology Genes DNA Fingerprinting Humans Saccharomyces cerevisiae Algorithms Monte Carlo Method Computer Simulation Biometry
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Modeling long-term human activeness using recurrent neural networks for biometric data.

BMC medical informatics and decision making May 18, 2017
BACKGROUND: With the invention of fitness trackers, it has been possible to continuously monitor a user's biometric data such as heart rates, number of footsteps taken, and amount of calories burned. This paper names the time series of these three ty...
Algorithms Forecasting Computer Simulation Humans Neural Networks, Computer Datasets as Topic Fitness Trackers Biometry Exercise Time Factors Feasibility Studies Young Adult Adult
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A novel framework for the identification of drug target proteins: Combining stacked auto-encoders with a biased support vector machine.

PloS one Apr 28, 2017
The identification of drug target proteins (IDTP) plays a critical role in biometrics. The aim of this study was to retrieve potential drug target proteins (DTPs) from a collected protein dataset, which represents an overwhelming task of great signif...
Support Vector Machine Proteins Molecular Targeted Therapy Biometry
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HTM Spatial Pooler With Memristor Crossbar Circuits for Sparse Biometric Recognition.

IEEE transactions on biomedical circuits and systems Mar 1, 2017
Hierarchical Temporal Memory (HTM) is an online machine learning algorithm that emulates the neo-cortex. The development of a scalable on-chip HTM architecture is an open research area. The two core substructures of HTM are spatial pooler and tempora...
Speech Recognition Software Biometry Speech Perception Machine Learning Algorithms Models, Neurological Facial Recognition Humans
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Classification and Verification of Handwritten Signatures with Time Causal Information Theory Quantifiers.

PloS one Dec 1, 2016
We present a new approach for handwritten signature classification and verification based on descriptors stemming from time causal information theory. The proposal uses the Shannon entropy, the statistical complexity, and the Fisher information evalu...
Handwriting Individuality Information Theory Humans Biometry Support Vector Machine Software Entropy Pattern Recognition, Automated
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Flexible variable selection for recovering sparsity in nonadditive nonparametric models.

Biometrics Apr 14, 2016
Variable selection for recovering sparsity in nonadditive and nonparametric models with high-dimensional variables has been challenging. This problem becomes even more difficult due to complications in modeling unknown interaction terms among high-di...
Artificial Intelligence Algorithms Models, Statistical Regression Analysis Biometry Statistics, Nonparametric
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Calibrating random forests for probability estimation.

Statistics in medicine Apr 13, 2016
Probabilities can be consistently estimated using random forests. It is, however, unclear how random forests should be updated to make predictions for other centers or at different time points. In this work, we present two approaches for updating ran...
Biometry Logistic Models Probability Calibration Humans Machine Learning
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Body-Based Gender Recognition Using Images from Visible and Thermal Cameras.

Sensors (Basel, Switzerland) Jan 27, 2016
Gender information has many useful applications in computer vision systems, such as surveillance systems, counting the number of males and females in a shopping mall, accessing control systems in restricted areas, or any human-computer interaction sy...
Humans Artificial Intelligence Algorithms Female Male Pattern Recognition, Automated Image Interpretation, Computer-Assisted Biometry Face Gender Identity
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Multiple kernel learning with random effects for predicting longitudinal outcomes and data integration.

Biometrics Jul 14, 2015
Predicting disease risk and progression is one of the main goals in many clinical research studies. Cohort studies on the natural history and etiology of chronic diseases span years and data are collected at multiple visits. Although, kernel-based st...
Support Vector Machine Longitudinal Studies Models, Statistical Computer Simulation Disease Progression Humans Alzheimer Disease Machine Learning Biometry Algorithms Statistics, Nonparametric Huntington Disease
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Acoustic Biometric System Based on Preprocessing Techniques and Linear Support Vector Machines.

Sensors (Basel, Switzerland) Jun 17, 2015
Drawing on the results of an acoustic biometric system based on a MSE classifier, a new biometric system has been implemented. This new system preprocesses acoustic images, extracts several parameters and finally classifies them, based on Support Vec...
Signal Processing, Computer-Assisted Male Humans Acoustics Image Processing, Computer-Assisted Female Biometry Support Vector Machine
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