AIMC Topic: Pattern Recognition, Automated

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A Method for Sensor-Based Activity Recognition in Missing Data Scenario.

Sensors (Basel, Switzerland) Jul 8, 2020
Sensor-based human activity recognition has various applications in the arena of healthcare, elderly smart-home, sports, etc. There are numerous works in this field-to recognize various human activities from sensor data. However, those works are base...
Human Activities Support Vector Machine Pattern Recognition, Automated Humans Machine Learning
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Functional magnetic resonance imaging multivoxel pattern analysis reveals neuronal substrates for collaboration and competition with myopic and predictive strategic reasoning.

Human brain mapping Jul 7, 2020
Competition and collaboration are strategies that can be used to optimize the outcomes of social interactions. Research into the neuronal substrates underlying these aspects of social behavior has been limited due to the difficulty in distinguishing ...
Support Vector Machine Magnetic Resonance Imaging Brain Mapping Humans Adult Thinking Competitive Behavior Cooperative Behavior Anticipation, Psychological Image Interpretation, Computer-Assisted Pattern Recognition, Automated Cerebral Cortex Social Cognition
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Machine Learning to Classify Intracardiac Electrical Patterns During Atrial Fibrillation: Machine Learning of Atrial Fibrillation.

Circulation. Arrhythmia and electrophysiology Jul 6, 2020
BACKGROUND: Advances in ablation for atrial fibrillation (AF) continue to be hindered by ambiguities in mapping, even between experts. We hypothesized that convolutional neural networks (CNN) may enable objective analysis of intracardiac activation i...
Heart Rate Pattern Recognition, Automated Atrial Function, Left Female Male Signal Processing, Computer-Assisted Reproducibility of Results Middle Aged Registries Aged Diagnosis, Computer-Assisted Atrial Fibrillation Humans Action Potentials Neural Networks, Computer Electrophysiologic Techniques, Cardiac Predictive Value of Tests Time Factors Atrial Function, Right Support Vector Machine
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A learning approach with incomplete pixel-level labels for deep neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 3, 2020
Learning with incomplete labels in Neural Networks has been actively investigated these last years. Among different kinds of incomplete labels, we investigate incomplete pixel-level labels which are tackled in many concrete problems. One of the chall...
Algorithms Deep Learning Pattern Recognition, Automated Humans Neural Networks, Computer
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Hyperparameter Optimization Method Based on Harmony Search Algorithm to Improve Performance of 1D CNN Human Respiration Pattern Recognition System.

Sensors (Basel, Switzerland) Jul 1, 2020
In this study, we propose a method to find an optimal combination of hyperparameters to improve the accuracy of respiration pattern recognition in a 1D (Dimensional) convolutional neural network (CNN). The proposed method is designed to integrate wit...
Neural Networks, Computer Algorithms Pattern Recognition, Automated Respiration Humans
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Visual interaction networks: A novel bio-inspired computational model for image classification.

Neural networks : the official journal of the International Neural Network Society Jun 30, 2020
Inspired by biological mechanisms and structures in neuroscience, many biologically inspired visual computational models have been presented to provide new solutions for visual recognition task. For example, convolutional neural network (CNN) was pro...
Neural Networks, Computer Computer Simulation Pattern Recognition, Automated
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Solitary solid pulmonary nodules: a CT-based deep learning nomogram helps differentiate tuberculosis granulomas from lung adenocarcinomas.

European radiology Jun 27, 2020
OBJECTIVES: To evaluate the differential diagnostic performance of a computed tomography (CT)-based deep learning nomogram (DLN) in identifying tuberculous granuloma (TBG) and lung adenocarcinoma (LAC) presenting as solitary solid pulmonary nodules (...
Tuberculosis Sex Factors Diagnostic Tests, Routine Calibration Adenocarcinoma of Lung Observer Variation Pattern Recognition, Automated Humans Regression Analysis ROC Curve Algorithms Female Diagnosis, Differential Nomograms Image Processing, Computer-Assisted Retrospective Studies Middle Aged Adult Granuloma Age Factors Lung Neoplasms Tomography, X-Ray Computed Male Logistic Models Solitary Pulmonary Nodule Diagnosis, Computer-Assisted Deep Learning
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Automatic task recognition in a flexible endoscopy benchtop trainer with semi-supervised learning.

International journal of computer assisted radiology and surgery Jun 26, 2020
PURPOSE: Inexpensive benchtop training systems offer significant advantages to meet the increasing demand of training surgeons and gastroenterologists in flexible endoscopy. Established scoring systems exist, based on task duration and mistake evalua...
Endoscopes Diagnosis, Computer-Assisted Equipment Design Supervised Machine Learning Task Performance and Analysis Reproducibility of Results Humans Video Recording Internship and Residency Endoscopy Machine Learning Pattern Recognition, Automated Gastroenterology Algorithms
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A novel feature representation: Aggregating convolution kernels for image retrieval.

Neural networks : the official journal of the International Neural Network Society Jun 24, 2020
Activated hidden units in convolutional neural networks (CNNs), known as feature maps, dominate image representation, which is compact and discriminative. For ultra-large datasets, high dimensional feature maps in float format not only result in high...
Pattern Recognition, Automated Neural Networks, Computer Image Processing, Computer-Assisted
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Toward automatic evaluation of medical abstracts: The current value of sentiment analysis and machine learning for classification of the importance of PubMed abstracts of randomized trials for stroke.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jun 23, 2020
BACKGROUND: Text mining with automatic extraction of key features is gaining increasing importance in science and particularly medicine due to the rapidly increasing number of publications.
Abstracting and Indexing Humans Pattern Recognition, Automated Randomized Controlled Trials as Topic Machine Learning Deep Learning PubMed Data Mining
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