AIMC Topic: Neural Networks, Computer

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Mutual GNN-MLP distillation for robust graph adversarial defense.

Neural networks : the official journal of the International Neural Network Society
Current adversarial defenses for graph neural networks (GNNs) face critical limitations that hinder their real-world application: (1) inadequate adaptability to graph heterophily, (2) lack of generalizability to early GNNs like Graph SAmple and aggre...

Fixed-time adaptive neural network compensation control for uncertain nonlinear systems.

Neural networks : the official journal of the International Neural Network Society
Uncertainties are the main obstacle to improving the control performance of nonlinear systems. To address this challenge, this paper proposes a fixed-time adaptive neural network compensation control method for a class of high-order nonlinear systems...

Enhancing the transferability of adversarial attacks via Scale Enriching.

Neural networks : the official journal of the International Neural Network Society
Deep learning models are vulnerable to adversarial attacks. Transfer-based adversarial examples are crafted against surrogate models and transferred to victim models. However, under the black-box settings, most adversaries have poor transferability o...

Semantic-Rearrangement-based Hierarchical Alignment for domain generalized segmentation.

Neural networks : the official journal of the International Neural Network Society
Domain generalized semantic segmentation is an essential computer vision task, for which models only leverage source data to learn semantic segmentation towards generalizing to the unseen target domains. Previous works typically address this challeng...

SPAST: Arbitrary style transfer with style priors via pre-trained large-scale model.

Neural networks : the official journal of the International Neural Network Society
Given an arbitrary content and style image, arbitrary style transfer aims to render a new stylized image which preserves the content image's structure and possesses the style image's style. Existing arbitrary style transfer methods are based on eithe...

Neuroadaptive fixed-time fault-tolerant containment control of high-order MIMO Nonlinear multi-agent systems in affine strict-feedback form.

Neural networks : the official journal of the International Neural Network Society
This paper is concerned with the fixed-time containment control problem for high-order MIMO nonlinear multi-agent systems with external disturbances and actuator faults. First, in the backstepping framework, a neuroadaptive fixed-time containment con...

SurvGraph: A hybrid-graph attention network for survival prediction using whole slide pathological images in gastric cancer.

Neural networks : the official journal of the International Neural Network Society
Whole slide pathological images have shown significant potential for patient prognostication. Graph representation learning provides a robust framework for in-depth analysis of whole-slide images to construct predictive models. In this study, we intr...

Implementing feature binding through dendritic networks of a single neuron.

Neural networks : the official journal of the International Neural Network Society
A single neuron receives an extensive array of synaptic inputs through its dendrites, raising the fundamental question of how these inputs undergo integration and summation, culminating in the initiation of spikes in the soma. Experimental and comput...

Estimation of patient safety culture in private and public hospitals using machine learning methods.

Work (Reading, Mass.)
BackgroundPatient safety is a critical component of health care systems. Large groups of patients, as a result of medical errors, are at risk of harm. OBJECTIVE: This study evaluated the patient safety culture (PSC) between different work groups in b...

Color-independent cattle identification using keypoint detection and Siamese neural networks in closed- and open-set scenarios.

Journal of dairy science
Computer vision systems offer identification solutions for animals with distinct coat patterns but are less effective for solid-colored herds. Another complication in real-world conditions is when new animals are introduced or removed from the herd, ...