AIMC Topic: Sensitivity and Specificity

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Online kernel slow feature analysis for temporal video segmentation and tracking.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Apr 29, 2015
Slow feature analysis (SFA) is a dimensionality reduction technique which has been linked to how visual brain cells work. In recent years, the SFA was adopted for computer vision tasks. In this paper, we propose an exact kernel SFA (KSFA) framework f...
Image Interpretation, Computer-Assisted Pattern Recognition, Automated Image Enhancement Photography Signal Processing, Computer-Assisted Biomimetics Video Recording Subtraction Technique Neural Networks, Computer Algorithms Reproducibility of Results Sensitivity and Specificity
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Machine learning methods for the classification of gliomas: Initial results using features extracted from MR spectroscopy.

The neuroradiology journal Apr 28, 2015
CONTEXT: With the advent of new imaging modalities, radiologists are faced with handling increasing volumes of data for diagnosis and treatment planning. The use of automated and intelligent systems is becoming essential in such a scenario. Machine l...
Reproducibility of Results Sensitivity and Specificity Biomarkers, Tumor Brain Neoplasms Humans Artificial Intelligence Algorithms Creatine Choline Pattern Recognition, Automated Diagnosis, Computer-Assisted Magnetic Resonance Spectroscopy Pilot Projects Aspartic Acid Glioma
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Prediction of effluent concentration in a wastewater treatment plant using machine learning models.

Journal of environmental sciences (China) Apr 20, 2015
Of growing amount of food waste, the integrated food waste and waste water treatment was regarded as one of the efficient modeling method. However, the load of food waste to the conventional waste treatment process might lead to the high concentratio...
Water Quality Sensitivity and Specificity Support Vector Machine Nitrogen Neural Networks, Computer Wastewater Water Purification Prognosis Republic of Korea
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Discriminative analysis of Parkinson's disease based on whole-brain functional connectivity.

PloS one Apr 17, 2015
Recently, there has been an increasing emphasis on applications of pattern recognition and neuroimaging techniques in the effective and accurate diagnosis of psychiatric or neurological disorders. In the present study, we investigated the whole-brain...
Support Vector Machine Connectome Magnetic Resonance Imaging Sensitivity and Specificity Nerve Net Humans Parkinson Disease Head Movements Male Female Aged Middle Aged Case-Control Studies Discriminant Analysis Cerebellum Early Diagnosis Cerebral Cortex
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A general proof of consistency of heuristic classification for cognitive diagnosis models.

The British journal of mathematical and statistical psychology Apr 15, 2015
The Asymptotic Classification Theory of Cognitive Diagnosis (Chiu et al., 2009, Psychometrika, 74, 633-665) determined the conditions that cognitive diagnosis models must satisfy so that the correct assignment of examinees to proficiency classes is g...
Humans Algorithms Heuristics Computer Simulation Cognition Reproducibility of Results Computer Heuristics Models, Statistical Sensitivity and Specificity Data Interpretation, Statistical Psychometrics Educational Measurement
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Comparison of Seven Methods for Boolean Factor Analysis and Their Evaluation by Information Gain.

IEEE transactions on neural networks and learning systems Apr 7, 2015
An usual task in large data set analysis is searching for an appropriate data representation in a space of fewer dimensions. One of the most efficient methods to solve this task is factor analysis. In this paper, we compare seven methods for Boolean ...
Humans Neural Networks, Computer Noise Factor Analysis, Statistical Bayes Theorem Electronic Data Processing Algorithms Sensitivity and Specificity Animals Models, Neurological
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Multifractal Analysis and Relevance Vector Machine-Based Automatic Seizure Detection in Intracranial EEG.

International journal of neural systems Apr 7, 2015
Automatic seizure detection technology is of great significance for long-term electroencephalogram (EEG) monitoring of epilepsy patients. The aim of this work is to develop a seizure detection system with high accuracy. The proposed system was mainly...
Seizures Electrocorticography Fractals Humans Sensitivity and Specificity Support Vector Machine
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Diagnostic Performance of Artificial Neural Network for Detecting Ischemia in Myocardial Perfusion Imaging.

Circulation journal : official journal of the Japanese Circulation Society Apr 3, 2015
BACKGROUND: The purpose of this study was to apply an artificial neural network (ANN) in patients with coronary artery disease (CAD) and to characterize its diagnostic ability compared with conventional visual and quantitative methods in myocardial p...
Humans Coronary Stenosis Neural Networks, Computer Female Aged Middle Aged Image Processing, Computer-Assisted Radiography Myocardial Perfusion Imaging Aged, 80 and over Adult Sensitivity and Specificity Male
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Evaluation of combinations of in vitro sensitization test descriptors for the artificial neural network-based risk assessment model of skin sensitization.

Journal of applied toxicology : JAT Mar 30, 2015
The skin sensitization potential of chemicals has been determined with the use of the murine local lymph node assay (LLNA). However, in recent years public concern about animal welfare has led to a requirement for non-animal risk assessment systems f...
Skin Animal Testing Alternatives Skin Tests Local Lymph Node Assay Sensitivity and Specificity Risk Assessment Dendritic Cells Cell Line Humans Neural Networks, Computer
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Robust representation and recognition of facial emotions using extreme sparse learning.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 25, 2015
Recognition of natural emotions from human faces is an interesting topic with a wide range of potential applications, such as human-computer interaction, automated tutoring systems, image and video retrieval, smart environments, and driver warning sy...
Humans Machine Learning Algorithms Photography Image Interpretation, Computer-Assisted Facial Recognition Pattern Recognition, Automated Subtraction Technique Facial Expression Reproducibility of Results Image Enhancement Sensitivity and Specificity Emotions
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