AIMC Topic: Neural Networks, Computer

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VKAD: A novel fault detection and isolation model for uncertainty-aware industrial processes.

Neural networks : the official journal of the International Neural Network Society May 22, 2025
Fault detection and isolation (FDI) are essential for effective monitoring of industrial processes. Modern industrial processes involve dynamic systems characterized by complex, high-dimensional nonlinearities, posing significant challenges for accur...
Industry Uncertainty Neural Networks, Computer Nonlinear Dynamics
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ReactDiff: Latent Diffusion for Facial Reaction Generation.

Neural networks : the official journal of the International Neural Network Society May 22, 2025
Given the audio-visual clip of the speaker, facial reaction generation aims to predict the listener's facial reactions. The challenge lies in capturing the relevance between video and audio while balancing appropriateness, realism, and diversity. Whi...
Algorithms Face Humans Neural Networks, Computer
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Learning double balancing representation for heterogeneous dose-response curve estimation.

Neural networks : the official journal of the International Neural Network Society May 22, 2025
Estimating the individuals' potential response to varying treatment doses is crucial for decision-making in areas such as precision medicine and management science. Most recent studies predict counterfactual outcomes by learning a covariate represent...
Precision Medicine Dose-Response Relationship, Drug Humans Neural Networks, Computer Machine Learning Algorithms
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Consensus synchronization via quantized iterative learning for coupled fractional-order time-delayed competitive neural networks with input sharing.

Neural networks : the official journal of the International Neural Network Society May 22, 2025
This paper presents the D-type distributed iterative learning control protocol to synchronize fractional-order competitive neural networks with time delay within a finite time frame. Firstly, the input sharing strategy of such desired competitive neu...
Neural Networks, Computer Algorithms Time Factors Consensus Computer Simulation Learning
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Prototype-guided and dynamic-aware video anomaly detection.

Neural networks : the official journal of the International Neural Network Society May 21, 2025
Anomaly detection in intelligent surveillance system is an important and challenging task, which commonly learns a model describing normal patterns via frame reconstruction or prediction and assumes that anomalies deviate form the learned normal mode...
Deep Learning Humans Neural Networks, Computer Pattern Recognition, Automated Algorithms Video Recording
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Emergence of human-like attention and distinct head clusters in self-supervised vision transformers: A comparative eye-tracking study.

Neural networks : the official journal of the International Neural Network Society May 21, 2025
Visual attention models aim to predict human gaze behavior, yet traditional saliency models and deep gaze prediction networks face limitations. Saliency models rely on handcrafted low-level visual features, often failing to capture human gaze dynamic...
Humans Neural Networks, Computer Head Supervised Machine Learning Eye-Tracking Technology Fixation, Ocular Attention Deep Learning
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Dynamic Multi-scale Feature Integration Network for unsupervised MR-CT synthesis.

Neural networks : the official journal of the International Neural Network Society May 21, 2025
Unsupervised MR-CT synthesis presents a significant opportunity to reduce radiation exposure from CT scans and lower costs by eliminating the need for both MR and CT imaging. However, many existing unsupervised methods face limitations in capturing d...
Image Processing, Computer-Assisted Magnetic Resonance Imaging Humans Brain Unsupervised Machine Learning Algorithms Neural Networks, Computer Tomography, X-Ray Computed
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Visual reasoning in object-centric deep neural networks: A comparative cognition approach.

Neural networks : the official journal of the International Neural Network Society May 21, 2025
Achieving visual reasoning is a long-term goal of artificial intelligence. In the last decade, several studies have applied deep neural networks (DNNs) to the task of learning visual relations from images, with modest results in terms of generalizati...
Cognition Visual Perception Neural Networks, Computer Deep Learning Humans
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A Complete Transfer Learning-Based Pipeline for Discriminating Between Select Pathogenic Yeasts from Microscopy Photographs.

Pathogens (Basel, Switzerland) May 21, 2025
Pathogenic yeasts are an increasing concern in healthcare, with species like often displaying drug resistance and causing high mortality in immunocompromised patients. The need for rapid and accessible diagnostic methods for accurate yeast identific...
Image Processing, Computer-Assisted Photography Candida Humans Microscopy Neural Networks, Computer Yeasts Machine Learning
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CoupleMDA: Metapath-Induced Structural-Semantic Coupling Network for miRNA-Disease Association Prediction.

International journal of molecular sciences May 21, 2025
The prediction of microRNA-disease associations (MDAs) is crucial for understanding disease mechanisms and biomarker discovery. While graph neural networks have emerged as promising tools for MDA prediction, existing methods face critical limitations...
MicroRNAs Semantics Humans Genetic Predisposition to Disease Neural Networks, Computer Computational Biology Algorithms
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