Suchergebnisse - "Semi-supervised algorithm"

Semi-Supervised Learning for Low-cost Personalized Obstructive Sleep Apnea Detection Using Unsupervised Deep Learning and Single-Lead Electrocardiogram von Hu, Shuaicong, Wang, Ya'nan, Liu, Jian, Yang, Cuiwei, Wang, Aiguo, Li, Kuanzheng, Liu, Wenxin

“… )-based OSA detection, by proposing an automatic semi-supervised algorithm for automated low-cost personalization fine-tuning. Methods …”
Volltext

A functional source separation algorithm to enhance error-related potentials monitoring in noninvasive brain-computer interface von Ferracuti, Francesco, Casadei, Valentina, Marcantoni, Ilaria, Iarlori, Sabrina, Burattini, Laura, Monteriù, Andrea, Porcaro, Camillo

“… •Semi Blind functional source separation (FSS) identify optimal spatial filter for BCI.•FSS algorithm is able to enhance error-related potential (ErrPs) …”
Volltext

A large margin algorithm for automated segmentation of white matter hyperintensity von Qin, Chen, Guerrero, Ricardo, Bowles, Christopher, Chen, Liang, Dickie, David Alexander, Valdes-Hernandez, Maria del C., Wardlaw, Joanna, Rueckert, Daniel

“… •A supervised large margin algorithm is proposed to learn a global classifier.•A semi-supervised large margin classifier is learned for refinement on test subject …”
Volltext

Colorectal Cancer Tissue Classification Using Semi-Supervised Hypergraph Convolutional Network von Bakht, Ahsan Baidar, Javed, Sajid, AlMarzouqi, Hasan, Khandoker, Ahsan, Werghi, Naoufel

“… In this paper, we propose a semi-supervised algorithm for CRC tissue classification. We propose to employ the hypergraph neural network to classify seven different biologically meaningful CRC tissue types …”
Volltext

Two distributed semi-supervised algorithms for mining of complex networks using Giraph von Erfan Farhangi Maleki, Ghadiri, Nasser, Maryam Lotfi Shahreza, Maleki, Zeinab

“… Heterogeneous networks are large graphs consisting of different types of nodes and edges. They are an important category of complex networks, but the process …”
Volltext

Disease classification and prediction via semi-supervised dimensionality reduction von Batmanghelich, K N, Ye, D H, Pohl, K M, Taskar, B, Davatzikos, C

“… We present a new semi-supervised algorithm for dimensionality reduction which exploits information of unlabeled data in order to improve the accuracy of image-based disease classification based on medical images …”
Volltext

Decoding EEG in Motor Imagery Tasks with Graph Semi-Supervised Broad Learning von She, Qingshan, Zhou, Yukai, Gan, Haitao, Ma, Yuliang, Luo, Zhizeng

“… In recent years, the accurate and real-time classification of electroencephalogram (EEG) signals has drawn increasing attention in the application of …”
Volltext

Semi-Supervised Learning in Large Scale Text Categorization von 许泽文 李建强 刘博 毕敬 李蓉 毛睿

“… Automatic text classification technology based on machine learning can classify a large number of natural language documents into the corresponding subject categories according to its correct semantics …”
Volltext

Ultra Low-Power Drowsiness Detection System with BioWolf von Kartsch, V., Benatti, S., Guermandi, M., Montagna, F., Benini, L.

“… Drowsiness is a cause of accidents in industrial and mining activities. A considerable amount of effort has been put into the detection of drowsiness, and …”
Volltext

Coding with the machines: machine-assisted coding of rare event data von Overos, Henry David, Hlatky, Roman, Pathak, Ojashwi, Goers, Harriet, Gouws-Dewar, Jordan, Smith, Katy, Chew, Keith Padraic, Birnir, Jóhanna K, Liu, Amy H

“… To test the relative performance of supervised and semi-supervised algorithms when coding political data, we compare three models …”
Volltext

Towards Resource-Efficient Edge AI: From Federated Learning to Semi-Supervised Model Personalization von Zhang, Zhaofeng, Yue, Sheng, Zhang, Junshan

“… ) across multiple edge devices, based on which a semi-supervised algorithm is devised for a single edge device to carry out quick adaptation with its local data …”
Volltext

Persistent Laplacian-enhanced algorithm for scarcely labeled data classification von Bhusal, Gokul, Merkurjev, Ekaterina, Wei, Guo-Wei

“… However, obtaining enough labeled data can be expensive, time-consuming, and subject to ethical constraints for many applications …”
Volltext

Self-Training: A Survey von Amini, Massih-Reza, Feofanov, Vasilii, Pauletto, Loic, Hadjadj, Lies, Devijver, Emilie, Maximov, Yury

“… Semi-supervised algorithms aim to learn prediction functions from a small set of labeled observations and a large set of unlabeled observations …”
Volltext

Persistent Laplacian-enhanced Algorithm for Scarcely Labeled Data Classification von Bhusal, Gokul, Merkurjev, Ekaterina, Guo-Wei, Wei

“… However, obtaining enough labeled data can be expensive, time-consuming, and subject to ethical constraints for many applications …”
Volltext