InfoWorld

10 tips for getting better R code from your AI coding agent

With the proper setup and guidance, you can have Claude Code, Codex, Posit Assistant, and other coding agents writing R code ...
IEEE

Comprehensive Lung Disease Classification and Severity Assessment using AC-CXR: A Hybrid Convolution–Transformer Framework

Abstract: Chest radiography remains a frontline imaging modality for rapid, low-cost screening and monitoring of pulmonary disease worldwide. This paper presents AC-CXR, a unified deep learning ...
GitHub

TF-Locoformer: Transformer with Local Modeling by Convolution for Speech Separation and Enhancement

@InProceedings{Saijo2024_TFLoco, author = {Saijo, Kohei and Wichern, Gordon and Germain, Fran\c{c}ois G. and Pan, Zexu and {Le Roux}, Jonathan}, title = {TF-Locoformer: Transformer with Local Modeling ...
Embedded

Understanding convolutional neural networks

The world of artificial intelligence (AI) is rapidly evolving, and AI is increasingly enabling applications that were previously unattainable or very difficult to implement. A subsequent article, ...
IEEE

Mask-Guided Attention Network and Occlusion-Sensitive Hard Example Mining for Occluded Pedestrian Detection

Abstract: Pedestrian detection relying on deep convolution neural networks has made significant progress. Though promising results have been achieved on standard pedestrians, the performance on ...
GitHub

A Fast Dense Spectral-Spatial Convolution Network Framework for Hyperspectral Images Classification

If you find FDSSC useful in your research, please consider citing. We use Tensorflow-gpu as our computing backend, and you can also use theano as computing backend ...
acm.org

ImageNet Classification with Deep Convolutional Neural Networks

Five ILSVRC-2010 test images in the first column. Remaining columns show the training images that produce feature vectors in the last hidden layer with the smallest Euclidean distance from the feature ...