AIMC Journal:
IEEE transactions on neural networks and learning systems

Showing 421 to 430 of 780 articles

Simple and Effective: Spatial Rescaling for Person Reidentification.

IEEE transactions on neural networks and learning systems Jan 5, 2022
Global average pooling (GAP) allows convolutional neural networks (CNNs) to localize discriminative information for recognition using only image-level labels. While GAP helps CNNs to attend to the most discriminative features of an object, e.g., head...
Image Processing, Computer-Assisted Humans Neural Networks, Computer
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Improving Speech Emotion Recognition With Adversarial Data Augmentation Network.

IEEE transactions on neural networks and learning systems Jan 5, 2022
When training data are scarce, it is challenging to train a deep neural network without causing the overfitting problem. For overcoming this challenge, this article proposes a new data augmentation network-namely adversarial data augmentation network...
Neural Networks, Computer Machine Learning Emotions Entropy Speech
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Weak Human Preference Supervision for Deep Reinforcement Learning.

IEEE transactions on neural networks and learning systems Nov 30, 2021
The current reward learning from human preferences could be used to resolve complex reinforcement learning (RL) tasks without access to a reward function by defining a single fixed preference between pairs of trajectory segments. However, the judgmen...
Neural Networks, Computer Reward Humans Locomotion Reinforcement, Psychology
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Automatic Searching and Pruning of Deep Neural Networks for Medical Imaging Diagnostic.

IEEE transactions on neural networks and learning systems Nov 30, 2021
The field of medical imaging diagnostic makes use of a modality of imaging tests, e.g., X-rays, ultrasounds, computed tomographies, and magnetic resonance imaging, to assist physicians with the diagnostic of patients' illnesses. Due to their state-of...
Algorithms Databases, Factual Tomography, X-Ray Computed Humans Magnetic Resonance Imaging Neural Networks, Computer
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AANet: Adaptive Attention Network for COVID-19 Detection From Chest X-Ray Images.

IEEE transactions on neural networks and learning systems Oct 27, 2021
Accurate and rapid diagnosis of COVID-19 using chest X-ray (CXR) plays an important role in large-scale screening and epidemic prevention. Unfortunately, identifying COVID-19 from the CXR images is challenging as its radiographic features have a vari...
Databases, Factual Neural Networks, Computer Humans X-Rays Tomography, X-Ray Computed COVID-19
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New Insights Into Drug Repurposing for COVID-19 Using Deep Learning.

IEEE transactions on neural networks and learning systems Oct 27, 2021
The coronavirus disease 2019 (COVID-19) has continued to spread worldwide since late 2019. To expedite the process of providing treatment to those who have contracted the disease and to ensure the accessibility of effective drugs, numerous strategies...
Drug Discovery Humans COVID-19 Drug Treatment Deep Learning Antiviral Agents Neural Networks, Computer Drug Repositioning COVID-19
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Laplacian Pyramid Neural Network for Dense Continuous-Value Regression for Complex Scenes.

IEEE transactions on neural networks and learning systems Oct 27, 2021
Many computer vision tasks, such as monocular depth estimation and height estimation from a satellite orthophoto, have a common underlying goal, which is regression of dense continuous values for the pixels given a single image. We define them as den...
Pattern Recognition, Automated Deep Learning Image Processing, Computer-Assisted Neural Networks, Computer Humans
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Accuracy Versus Simplification in an Approximate Logic Neural Model.

IEEE transactions on neural networks and learning systems Oct 27, 2021
An approximate logic neural model (ALNM) is a novel single-neuron model with plastic dendritic morphology. During the training process, the model can eliminate unnecessary synapses and useless branches of dendrites. It will produce a specific dendrit...
Humans Neural Networks, Computer Logic Neuronal Plasticity Algorithms Databases, Factual Dendrites Synapses Reproducibility of Results
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A Survey on Explainable Artificial Intelligence (XAI): Toward Medical XAI.

IEEE transactions on neural networks and learning systems Oct 27, 2021
Recently, artificial intelligence and machine learning in general have demonstrated remarkable performances in many tasks, from image processing to natural language processing, especially with the advent of deep learning (DL). Along with research pro...
Image Processing, Computer-Assisted Pattern Recognition, Automated Machine Learning Surveys and Questionnaires Artificial Intelligence Humans Neural Networks, Computer
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Finite- and Fixed-Time Cluster Synchronization of Nonlinearly Coupled Delayed Neural Networks via Pinning Control.

IEEE transactions on neural networks and learning systems Oct 27, 2021
In this article, the cluster synchronization problem for a class of the nonlinearly coupled delayed neural networks (NNs) in both finite- and fixed-time cases are investigated. Based on the Lyapunov stability theory and pinning control strategy, some...
Cluster Analysis Nonlinear Dynamics Algorithms Time Factors Finite Element Analysis Humans Neural Networks, Computer
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