AIMC Journal:
IEEE transactions on neural networks and learning systems
Showing 471 to 480 of 780 articles
Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person.
IEEE transactions on neural networks and learning systems
Apr 2, 2021
This article focuses on a new and practical problem in single-sample per person face recognition (SSPP FR), i.e., SSPP FR with a contaminated biometric enrolment database (SSPP-ce FR), where the SSPP-based enrolment database is contaminated by nuisan...
Impulsive Synchronization of Unbounded Delayed Inertial Neural Networks With Actuator Saturation and Sampled-Data Control and its Application to Image Encryption.
IEEE transactions on neural networks and learning systems
Apr 2, 2021
The article considers the impulsive synchronization for inertial neural networks with unbounded delay and actuator saturation via sampled-data control. Based on an impulsive differential inequality, the difficulties caused by unbounded delay and impu...
Anam-Net: Anamorphic Depth Embedding-Based Lightweight CNN for Segmentation of Anomalies in COVID-19 Chest CT Images.
IEEE transactions on neural networks and learning systems
Mar 1, 2021
Chest computed tomography (CT) imaging has become indispensable for staging and managing coronavirus disease 2019 (COVID-19), and current evaluation of anomalies/abnormalities associated with COVID-19 has been performed majorly by the visual score. T...
Task Similarity Estimation Through Adversarial Multitask Neural Network.
IEEE transactions on neural networks and learning systems
Feb 4, 2021
Multitask learning (MTL) aims at solving the related tasks simultaneously by exploiting shared knowledge to improve performance on individual tasks. Though numerous empirical results supported the notion that such shared knowledge among tasks plays a...
Neural Encoding and Decoding With Distributed Sentence Representations.
IEEE transactions on neural networks and learning systems
Feb 4, 2021
Building computational models to account for the cortical representation of language plays an important role in understanding the human linguistic system. Recent progress in distributed semantic models (DSMs), especially transformer-based methods, ha...
Deep Learning
Algorithms
Linguistics
Image Processing, Computer-Assisted
Computer Simulation
Magnetic Resonance Imaging
Reading
Brain
Humans
Semantics
Natural Language Processing
Neural Networks, Computer
Temporal Lobe
Language
Brain-Computer Interfaces
Occipital Lobe
Reproducibility of Results
Cerebral Cortex
Deep Representation-Based Domain Adaptation for Nonstationary EEG Classification.
IEEE transactions on neural networks and learning systems
Feb 4, 2021
In the context of motor imagery, electroencephalography (EEG) data vary from subject to subject such that the performance of a classifier trained on data of multiple subjects from a specific domain typically degrades when applied to a different subje...
Deep Learning for Multigrade Brain Tumor Classification in Smart Healthcare Systems: A Prospective Survey.
IEEE transactions on neural networks and learning systems
Feb 4, 2021
Brain tumor is one of the most dangerous cancers in people of all ages, and its grade recognition is a challenging problem for radiologists in health monitoring and automated diagnosis. Recently, numerous methods based on deep learning have been pres...
A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO).
IEEE transactions on neural networks and learning systems
Feb 4, 2021
Gradient-based algorithms have been widely used in optimizing parameters of deep neural networks' (DNNs) architectures. However, the vanishing gradient remains as one of the common issues in the parameter optimization of such networks. To cope with t...
Transformation-Consistent Self-Ensembling Model for Semisupervised Medical Image Segmentation.
IEEE transactions on neural networks and learning systems
Feb 4, 2021
A common shortfall of supervised deep learning for medical imaging is the lack of labeled data, which is often expensive and time consuming to collect. This article presents a new semisupervised method for medical image segmentation, where the networ...
Diagnostic Imaging
Fundus Oculi
Supervised Machine Learning
Skin Diseases
Imaging, Three-Dimensional
Image Processing, Computer-Assisted
Liver
Dermatology
Optic Disk
Neural Networks, Computer
Glaucoma
Algorithms
Reproducibility of Results
Deep Learning
Databases, Factual
Tomography, X-Ray Computed
Humans
A Survey of the Usages of Deep Learning for Natural Language Processing.
IEEE transactions on neural networks and learning systems
Feb 4, 2021
Over the last several years, the field of natural language processing has been propelled forward by an explosion in the use of deep learning models. This article provides a brief introduction to the field and a quick overview of deep learning archite...
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