AI Medical Compendium

Explore the latest research on artificial intelligence and machine learning in medicine.

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Semantic Mask Reconstruction and Category Semantic Learning for few-shot image generation.

Neural networks : the official journal of the International Neural Network Society
Few-shot image generation aims at generating novel images for the unseen category when given K images from the same category. Despite significant advancements in existing few-shot image generation methods, great challenges remain regarding the qualit...

MNet: A multi-scale network for visible watermark removal.

Neural networks : the official journal of the International Neural Network Society
Superimposing visible watermarks on images is an efficient way to indicate ownership and prevent potential unauthorized use. Visible watermark removal technology is receiving increasing attention from researchers due to its ability to enhance the rob...

Improving forward compatibility in class incremental learning by increasing representation rank and feature richness.

Neural networks : the official journal of the International Neural Network Society
Class Incremental Learning (CIL) constitutes a pivotal subfield within continual learning, aimed at enabling models to progressively learn new classification tasks while retaining knowledge obtained from prior tasks. Although previous studies have pr...

PDG2Seq: Periodic Dynamic Graph to Sequence Model for Traffic Flow Prediction.

Neural networks : the official journal of the International Neural Network Society
Traffic flow prediction is the foundation of intelligent traffic management systems. Current methods prioritize the development of intricate models to capture spatio-temporal correlations, yet they often neglect the exploitation of latent features wi...

Intra- and inter-channel deep convolutional neural network with dynamic label smoothing for multichannel biosignal analysis.

Neural networks : the official journal of the International Neural Network Society
Efficient processing of multichannel biosignals has significant application values in the fields of healthcare and human-machine interaction. Although previous research has achieved high recognition performance with deep convolutional neural networks...

Cognitive process and information processing model based on deep learning algorithms.

Neural networks : the official journal of the International Neural Network Society
According to the developmental process of infants, cognitive abilities are divided into four stages: the Exploration Stage (ES), the Mapping Stage (MS), the Phenomena-causality Stage (PCS), and the Essence-causality Stage (ECS). The MS is a training ...

DFA-mode-dependent stability of impulsive switched memristive neural networks under channel-covert aperiodic asynchronous attacks.

Neural networks : the official journal of the International Neural Network Society
This article is concerned with the deterministic finite automaton-mode-dependent (DFAMD) exponential stability problem of impulsive switched memristive neural networks (SMNNs) with aperiodic asynchronous attacks and the network covert channel. First,...

Improved fractional-order gradient descent method based on multilayer perceptron.

Neural networks : the official journal of the International Neural Network Society
The fractional-order gradient descent (FOGD) method has been employed by numerous scholars in Artificial Neural Networks (ANN), with its superior performance validated both theoretically and experimentally. However, current FOGD methods only apply fr...

Volume-preserving geometric shape optimization of the Dirichlet energy using variational neural networks.

Neural networks : the official journal of the International Neural Network Society
In this work, we explore the numerical solution of geometric shape optimization problems using neural network-based approaches. This involves minimizing a numerical criterion that includes solving a partial differential equation with respect to a dom...

Strongly concealed adversarial attack against text classification models with limited queries.

Neural networks : the official journal of the International Neural Network Society
In black-box scenarios, adversarial attacks against text classification models face challenges in ensuring highly available adversarial samples, especially a high number of invalid queries under long texts. The existing methods select distractors by ...