AIMC Topic: Algorithms

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Pruning the ensemble of convolutional neural networks using second-order cone programming.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Ensemble techniques are frequently encountered in machine learning and engineering problems since the method combines different models and produces an optimal predictive solution. The ensemble concept can be adapted to deep learning models to provide...
Convolutional Neural Networks Algorithms Deep Learning Neural Networks, Computer Machine Learning
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Kernel Bayesian tensor ring decomposition for multiway data recovery.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Tensor ring (TR) decomposition has emerged as the prevailing method for tensor completion. Earlier approaches have situated TR decomposition within a probabilistic framework, yielding satisfactory outcomes. However, these methods ignore side informat...
Neural Networks, Computer Algorithms Bayes Theorem Humans
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Real-time and accurate stereo matching via tri-fusion volume for stereo vision.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
In the field of real-time stereo matching, a concise and informative cost volume is crucial for achieving high efficiency and accuracy. To this end, in this paper, we propose the Tri-Fusion Volume (TFV) to effectively fuse both texture details and si...
Pattern Recognition, Automated Algorithms Depth Perception Deep Learning Imaging, Three-Dimensional Image Processing, Computer-Assisted Humans Neural Networks, Computer
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The informativeness of the gradient revisited.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
In the past decade gradient-based deep learning has revolutionized several applications. However, this rapid advancement has highlighted the need for a deeper theoretical understanding of its limitations. Research has shown that, in many practical le...
Humans Entropy Neural Networks, Computer Algorithms Deep Learning
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Model-free reinforcement learning control with zero-min barrier functions for constrained systems.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
The primary focus of this research is to develop an adaptive output feedback controller designed to minimize a cost-to-go function subject to constraints on input, output, and tracking error for a class of unknown non-affine discrete-time systems. Th...
Neural Networks, Computer Machine Learning Algorithms Feedback Humans Fuzzy Logic Reinforcement, Psychology
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Learning to solve combinatorial optimization problems with heterophily.

Neural networks : the official journal of the International Neural Network Society Sep 1, 2025
Graph Neural Networks (GNNs) are widely used to address combinatorial optimization problems. However, many popular GNNs struggle to generalize to heterophilic scenarios where adjacent nodes tend to be with different labels or dissimilar features, suc...
Machine Learning Algorithms Cluster Analysis Humans Neural Networks, Computer
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Predicting CircRNA-Disease Associations Based on Heterogeneous Graph Neural Network and Knowledge Graph Attribute Mining Attention.

Interdisciplinary sciences, computational life sciences Sep 1, 2025
The exploration of associations between circular RNAs (circRNAs) and diseases contributes to a deeper understanding of the pathogenesis of diseases. Many computational methods have been proposed for circRNA-disease associations identification. Howeve...
Humans Neural Networks, Computer Data Mining RNA, Circular Graph Neural Networks Algorithms Computational Biology
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Meta-tuning and fast optimization of machine learning models for dynamic methane prediction in anaerobic digestion.

Bioresource technology Sep 1, 2025
This study evaluates the performance of several optimization algorithms for tuning a data preparation and hyperparameter optimization pipeline applied to machine and deep learning models predicting methane production. Bayesian ridge regression and re...
Anaerobiosis Bayes Theorem Machine Learning Algorithms Methane Neural Networks, Computer Biofuels
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Groupwise image registration with edge-based loss for low-SNR cardiac MRI.

Magnetic resonance in medicine Sep 1, 2025
PURPOSE: The purpose of this study is to perform image registration and averaging of multiple free-breathing single-shot cardiac images, where the individual images may have a low signal-to-noise ratio (SNR).
Image Processing, Computer-Assisted Contrast Media Algorithms Deep Learning Image Interpretation, Computer-Assisted Gadolinium Magnetic Resonance Imaging Heart Humans Signal-To-Noise Ratio Phantoms, Imaging
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Assessing the impact of low-temperature stress during anthesis stage on winter wheat grain development through computer vision and machine learning.

Journal of the science of food and agriculture Sep 1, 2025
BACKGROUND: Extreme weather events, particularly spring low-temperature stress exacerbated by global warming, have become increasingly prevalent in the Huang-Huai-Hai Basin over the past 40 years, a key wheat-producing area in China. This study aims ...
Edible Grain Algorithms Artificial Intelligence Flowers Cold-Shock Response Triticum Machine Learning
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