AIMC Topic: Pattern Recognition, Automated
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AMC-Net: Asymmetric and multi-scale convolutional neural network for multi-label HPA classification.
Computer methods and programs in biomedicine
Jul 9, 2019
BACKGROUND AND OBJECTIVES: The multi-label Human Protein Atlas (HPA) classification can yield a better understanding of human diseases and help doctors to enhance the automatic analysis of biomedical images. The existing automatic protein recognition...
An Improved Convolutional Neural Network Algorithm and Its Application in Multilabel Image Labeling.
Computational intelligence and neuroscience
Jul 4, 2019
In today's society, image resources are everywhere, and the number of available images can be overwhelming. Determining how to rapidly and effectively query, retrieve, and organize image information has become a popular research topic, and automatic ...
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time.
Neural computation
Jul 1, 2019
A significant threat to the recent, wide deployment of machine learning-based systems, including deep neural networks (DNNs), is adversarial learning attacks. The main focus here is on evasion attacks against DNN-based classifiers at test time. While...
Automatic recognition of different types of acute leukaemia in peripheral blood by image analysis.
Journal of clinical pathology
Jun 29, 2019
AIMS: Morphological differentiation among different blast cell lineages is a difficult task and there is a lack of automated analysers able to recognise these abnormal cells. This study aims to develop a machine learning approach to predict the diagn...
Automatic Multi-Level In-Exhale Segmentation and Enhanced Generalized S-Transform for wheezing detection.
Computer methods and programs in biomedicine
Jun 26, 2019
BACKGROUND AND OBJECTIVE: Wheezing is a common symptom of patients caused by asthma and chronic obstructive pulmonary diseases. Wheezing detection identifies wheezing lung sounds and helps physicians in diagnosis, monitoring, and treatment of pulmona...
Pattern Recognition, Automated
False Positive Reactions
Respiratory Sounds
Telemedicine
Artifacts
Algorithms
Medical Informatics
Humans
Female
Machine Learning
Adult
Support Vector Machine
Models, Statistical
Reproducibility of Results
Sensitivity and Specificity
Software
Monitoring, Physiologic
Signal Processing, Computer-Assisted
Male
Adaptive Learning Emotion Identification Method of Short Texts for Online Medical Knowledge Sharing Community.
Computational intelligence and neuroscience
Jun 25, 2019
The medical knowledge sharing community provides users with an open platform for accessing medical resources and sharing medical knowledge, treatment experience, and emotions. Compared with the recipients of general commodities, the recipients in the...
Adaptive Global Sliding-Mode Control for Dynamic Systems Using Double Hidden Layer Recurrent Neural Network Structure.
IEEE transactions on neural networks and learning systems
Jun 24, 2019
In this paper, a full-regulated neural network (NN) with a double hidden layer recurrent neural network (DHLRNN) structure is designed, and an adaptive global sliding-mode controller based on the DHLRNN is proposed for a class of dynamic systems. The...
A New Approach to Fall Detection Based on Improved Dual Parallel Channels Convolutional Neural Network.
Sensors (Basel, Switzerland)
Jun 24, 2019
Falls are the major cause of fatal and non-fatal injury among people aged more than 65 years. Due to the grave consequences of the occurrence of falls, it is necessary to conduct thorough research on falls. This paper presents a method for the study ...
Completely Automated CNN Architecture Design Based on Blocks.
IEEE transactions on neural networks and learning systems
Jun 20, 2019
The performance of convolutional neural networks (CNNs) highly relies on their architectures. In order to design a CNN with promising performance, extensive expertise in both CNNs and the investigated problem domain is required, which is not necessar...
Automatic identification of atherosclerosis subjects in a heterogeneous MR brain imaging data set.
Magnetic resonance imaging
Jun 19, 2019
Carotid-artery atherosclerosis (CA) contributes significantly to overall morbidity and mortality in ischemic stroke. We propose a machine learning technique to automatically identify subjects with CA from a heterogeneous cohort of magnetic resonance ...
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