Humans

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The Ugly Truth About Ourselves and Our Robot Creations: The Problem of Bias and Social Inequity.

Science and engineering ethics Sep 21, 2017
Recently, there has been an upsurge of attention focused on bias and its impact on specialized artificial intelligence (AI) applications. Allegations of racism and sexism have permeated the conversation as stories surface about search engines deliver...
Racism Sexism Datasets as Topic Biomedical Technology Prejudice Learning Female Male Social Justice Humans Automobiles Artificial Intelligence Robotics Algorithms Bias
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Quantum associative memory with linear and non-linear algorithms for the diagnosis of some tropical diseases.

Neural networks : the official journal of the International Neural Network Society Sep 21, 2017
This paper presents the QAMDiagnos, a model of Quantum Associative Memory (QAM) that can be a helpful tool for medical staff without experience or laboratory facilities, for the diagnosis of four tropical diseases (malaria, typhoid fever, yellow feve...
Yellow Fever Nonlinear Dynamics Dengue Tropical Medicine Algorithms Databases, Factual User-Computer Interface Smartphone Malaria Quantum Theory Typhoid Fever Humans Neural Networks, Computer Artificial Intelligence Machine Learning
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Mimvec: a deep learning approach for analyzing the human phenome.

BMC systems biology Sep 21, 2017
BACKGROUND: The human phenome has been widely used with a variety of genomic data sources in the inference of disease genes. However, most existing methods thus far derive phenotype similarity based on the analysis of biomedical databases by using th...
Humans Machine Learning Phenotype Computational Biology Inheritance Patterns Databases, Genetic Natural Language Processing Disease
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Functional neural networks of honesty and dishonesty in children: Evidence from graph theory analysis.

Scientific reports Sep 21, 2017
The present study examined how different brain regions interact with each other during spontaneous honest vs. dishonest communication. More specifically, we took a complex network approach based on the graph-theory to analyze neural response data whe...
(1)
Models, Neurological Humans Brain Deception Neural Networks, Computer Female Analysis of Variance Male Nerve Net Child
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Emotional metacontrol of attention: Top-down modulation of sensorimotor processes in a robotic visual search task.

PloS one Sep 21, 2017
Emotions play a significant role in internal regulatory processes. In this paper, we advocate four key ideas. First, novelty detection can be grounded in the sensorimotor experience and allow higher order appraisal. Second, cognitive processes, such ...
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Visual Perception Self-Assessment Pattern Recognition, Visual Behavior Control Discrimination, Psychological Humans Emotions Cognition Robotics Attention
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Deep reconstruction model for dynamic PET images.

PloS one Sep 21, 2017
Accurate and robust tomographic reconstruction from dynamic positron emission tomography (PET) acquired data is a difficult problem. Conventional methods, such as the maximum likelihood expectation maximization (MLEM) algorithm for reconstructing the...
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Whole Body Imaging Monte Carlo Method Phantoms, Imaging Models, Anatomic Brain Computer Simulation Humans Models, Neurological Machine Learning Positron-Emission Tomography
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Multiple Cayley-Klein metric learning.

PloS one Sep 21, 2017
As a specific kind of non-Euclidean metric lies in projective space, Cayley-Klein metric has been recently introduced in metric learning to deal with the complex data distributions in computer vision tasks. In this paper, we extend the original Cayle...
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Image Processing, Computer-Assisted Internet Nonlinear Dynamics Datasets as Topic Linear Models Face Pattern Recognition, Automated Humans Machine Learning Time Factors
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Acquaintance to Artificial Neural Networks and use of artificial intelligence as a diagnostic tool for tuberculosis: A review.

Tuberculosis (Edinburgh, Scotland) Sep 20, 2017
Tuberculosis [TB] has afflicted numerous nations in the world. As per a report by the World Health Organization [WHO], an estimated 1.4 million TB deaths in 2015 and an additional 0.4 million deaths resulting from TB disease among people living with ...
Predictive Value of Tests Biomarkers Tuberculosis Humans Reproducibility of Results Early Diagnosis Mycobacterium tuberculosis Neural Networks, Computer Diagnosis, Computer-Assisted Host-Pathogen Interactions Decision Support Techniques Fuzzy Logic
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Using artificial neural networks to select the parameters for the prognostic of mild cognitive impairment and dementia in elderly individuals.

Computer methods and programs in biomedicine Sep 20, 2017
BACKGROUND AND OBJECTIVES: A huge number of solutions based on computational systems have been recently developed for the classification of cognitive abnormalities in older people, so that individuals at high risk of developing neurodegenerative dise...
Sex Factors Nonlinear Dynamics Early Diagnosis Sensitivity and Specificity Male Middle Aged Cognitive Dysfunction Dementia ROC Curve Age Factors Prognosis Regression Analysis Female Humans Aged Neural Networks, Computer Aged, 80 and over Machine Learning
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Lifelong learning of human actions with deep neural network self-organization.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2017
Lifelong learning is fundamental in autonomous robotics for the acquisition and fine-tuning of knowledge through experience. However, conventional deep neural models for action recognition from videos do not account for lifelong learning but rather l...
Humans Neural Networks, Computer Machine Learning Robotics Neurons Pattern Recognition, Visual
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