AIMC Topic: Generalization, Psychological

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Segmentation-based cardiomegaly detection based on semi-supervised estimation of cardiothoracic ratio.

Scientific reports Mar 8, 2024
The successful integration of neural networks in a clinical setting is still uncommon despite major successes achieved by artificial intelligence in other domains. This is mainly due to the black box characteristic of most optimized models and the un...
Humans Neural Networks, Computer Artificial Intelligence Image Processing, Computer-Assisted Heart Cardiomegaly Generalization, Psychological
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Generalization analysis of deep CNNs under maximum correntropy criterion.

Neural networks : the official journal of the International Neural Network Society Mar 5, 2024
Convolutional neural networks (CNNs) have gained immense popularity in recent years, finding their utility in diverse fields such as image recognition, natural language processing, and bio-informatics. Despite the remarkable progress made in deep lea...
Neural Networks, Computer Algorithms Computational Biology Natural Language Processing Generalization, Psychological
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Hebbian dreaming for small datasets.

Neural networks : the official journal of the International Neural Network Society Feb 12, 2024
The dreaming Hopfield model constitutes a generalization of the Hebbian paradigm for neural networks, that is able to perform on-line learning when "awake" and also to account for off-line "sleeping" mechanisms. The latter have been shown to enhance ...
Neural Networks, Computer Machine Learning Algorithms Generalization, Psychological Physics
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Consideration on the learning efficiency of multiple-layered neural networks with linear units.

Neural networks : the official journal of the International Neural Network Society Jan 17, 2024
In the last two decades, remarkable progress has been done in singular learning machine theories on the basis of algebraic geometry. These theories reveal that we need to find resolution maps of singularities for analyzing asymptotic behavior of stat...
Neural Networks, Computer Likelihood Functions Generalization, Psychological
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Improving structure-based protein-ligand affinity prediction by graph representation learning and ensemble learning.

PloS one Jan 17, 2024
Predicting protein-ligand binding affinity presents a viable solution for accelerating the discovery of new lead compounds. The recent widespread application of machine learning approaches, especially graph neural networks, has brought new advancemen...
Neural Networks, Computer Machine Learning Ligands Correlation of Data Generalization, Psychological
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Compositional diversity in visual concept learning.

Cognition Jan 14, 2024
Humans leverage compositionality to efficiently learn new concepts, understanding how familiar parts can combine together to form novel objects. In contrast, popular computer vision models struggle to make the same types of inferences, requiring more...
Humans Neural Networks, Computer Bayes Theorem Concept Formation Generalization, Psychological Spatial Learning
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Perturbation diversity certificates robust generalization.

Neural networks : the official journal of the International Neural Network Society Jan 8, 2024
Whilst adversarial training has been proven to be one most effective defending method against adversarial attacks for deep neural networks, it suffers from over-fitting on training adversarial data and thus may not guarantee the robust generalization...
Neural Networks, Computer Generalization, Psychological
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Enhancing domain generalization in the AI-based analysis of chest radiographs with federated learning.

Scientific reports Dec 19, 2023
Developing robust artificial intelligence (AI) models that generalize well to unseen datasets is challenging and usually requires large and variable datasets, preferably from multiple institutions. In federated learning (FL), a model is trained colla...
Artificial Intelligence Learning Reproducibility of Results Radiography Generalization, Psychological
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Bio-inspired affordance learning for 6-DoF robotic grasping: A transformer-based global feature encoding approach.

Neural networks : the official journal of the International Neural Network Society Dec 8, 2023
The 6-Degree-of-Freedom (6-DoF) robotic grasping is a fundamental task in robot manipulation, aimed at detecting graspable points and corresponding parameters in a 3D space, i.e affordance learning, and then a robot executes grasp actions with the de...
Computer Simulation Learning Robotics Robotic Surgical Procedures Generalization, Psychological
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Feature-wise scaling and shifting: Improving the generalization capability of neural networks through capturing independent information of features.

Neural networks : the official journal of the International Neural Network Society Nov 19, 2023
From the perspective of input features, information can be divided into independent information and correlation information. Current neural networks mainly concentrate on the capturing of correlation information through connection weight parameters s...
Neural Networks, Computer Generalization, Psychological
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