Results 81 to 90 of about 1,673 (179)

Identifying autism spectrum disorder from multi-modal data with privacy-preserving

npj Mental Health Research
The application of deep learning models to precision medical diagnosis often requires the aggregation of large amounts of medical data to effectively train high-quality models.
Haishuai Wang, Hezi Jing, Jianjun Yang, Chao Liu, Liwei Hu, Guangyu Tao, Ziping Zhao, Ning Shen   +7 more
doaj   +1 more source

Fault diagnosis of shearer cutting unit gearbox based on improved cascaded broad learning

Gong-kuang zidonghua
The vibration monitoring data of the shearer cutting unit gearbox has a complex structure and is prone to class imbalance issues, leading to frequent false positives in traditional machine learning-based fault diagnosis methods.
LI Xin, LI Shuhua, CHEN Hao, SI Lei, WEI Dong, ZOU Xiaoyu   +5 more
doaj   +1 more source

Hypergraph regularized nonnegative triple decomposition for multiway data analysis

Scientific Reports
Tucker decomposition is widely used for image representation, data reconstruction, and machine learning tasks, but the calculation cost for updating the Tucker core is high.
Qingshui Liao, Qilong Liu, Fatimah Abdul Razak   +2 more
doaj   +1 more source

Analysis of Semi-Supervised Learning on Hypergraphs

CoRR
Hypergraphs provide a natural framework for modeling higher-order interactions, yet their theoretical underpinnings in semi-supervised learning remain limited. We provide an asymptotic consistency analysis of variational learning on random geometric hypergraphs, precisely characterizing the conditions ensuring the well-posedness of hypergraph learning ...
Adrien Weihs, Andrea L. Bertozzi, Matthew Thorpe   +2 more
openaire   +2 more sources

Cross-view contrastive learning and multi-channel hypergraph convolution for session-based recommendation

Dianxin kexue
Session-based recommendation predicts the next interaction item by analyzing anonymous users’ historical interaction data. Because of the sparsity of user behavior data, modeling session representations from a single perspective may fail to fully capture
REN Yubin, WANG Ruiqin, SUI Xinyi, FANG Chi   +3 more
doaj  

Hypergraph Representation Learning with Weighted- and Clustering-Biased Random Walks

Entropy
Hypergraphs are powerful tools for modeling complex systems because they naturally encode higher-order interactions. However, most existing hypergraph representation-learning methods still struggle to capture such high-order structures, particularly in ...
Li Liang, Shi-Ming Cai, Shi-Cai Gong
doaj   +1 more source

A general hypergraph learning algorithm for drug multi-task predictions in micro-to-macro biomedical networks. [PDF]

PLoS Comput Biol, 2023
Jin S, Hong Y, Zeng L, Jiang Y, Lin Y, Wei L, Yu Z, Zeng X, Liu X.   +8 more
europepmc   +1 more source

Explainable Deep Hypergraph Learning Modeling the Peptide Secondary Structure Prediction. [PDF]

Adv Sci (Weinh), 2023
Jiang Y, Wang R, Feng J, Jin J, Liang S, Li Z, Yu Y, Ma A, Su R, Zou Q, Ma Q, Wei L.   +11 more
europepmc   +1 more source

HyperG-PS: Voxel correlation modeling via hypergraph for LiDAR panoptic segmentation

Fundamental Research
Light-detection-and-ranging (LiDAR) point cloud panoptic segmentation is a fundamental task in autonomous driving since it integrates the tasks of static environmental understanding and dynamic object identification, which have recently gained ...
Lin Bie, Gang Xiao, Yipeng Li, Yue Gao
doaj   +1 more source

Teasing out missing reactions in genome-scale metabolic networks through hypergraph learning. [PDF]

Nat Commun, 2023
Chen C, Liao C, Liu YY.
europepmc   +1 more source