Scientific Research Publishing

Geo-Refined Point Transformer: Coordinate-Aware Excitation and Positional Upsampling for 3D Scene Segmentation ()

The proposed Coordinate-Aware Feature Excitation (CAFE) module and Position-Aware Upsampling (Pos-Up) module both adhere to ...
Frontiers

Graph neural networks in Alzheimer's disease diagnosis: a review of unimodal and multimodal advances

Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...
IEEE

Attention-Enhanced Graph Convolution Network for Malware Family Feature Extraction and Embedding

Abstract: Understanding malware from its dynamic API call sequence is non-trivial, since the length of a call sequence might be long and the important calls might be neglected by human beings. In ...
Scientific Research Publishing

Tan, M. and Le, Q. (2019) EfficientNET: Rethinking Model Scaling for Convolution-al Neural Networks. International Conference on Machine Learning, Long Beach, 9-15 June 2019 ...

ABSTRACT: AI techniques are proving unbeatable in the fight for supremacy in methods of evaluation, optimization, control, object recognition, sensor monitoring, image interpretation, machine learning ...
Frontiers

PMJDM: a multi-task joint detection model for plant disease identification

Shandong Province University Laboratory for Protected Horticulture, Weifang University of Science and Technology, Weifang, China Introduction: Plant disease detection is critical for ensuring ...
IEEE

Spatial Characteristics Analysis and Visualization for Brain Networks of Motor Imagery Based on Graph Convolutional Neural Networks

Abstract: As the most complex organ in the human body, the study of the human brain has always been a hot topic in the field of neuroscience. This paper mainly studies the relevant analysis and ...
insideHPC

Visualizing and Understanding Deep Neural Networks

In this presentation, Matthew Zeiler, PhD, Founder and CEO of Clarifai Inc, speaks about large convolutional neural networks. These networks have recently demonstrated impressive object recognition ...