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Home > Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II > Model Based on Support Vector Machine for the Estimation of the Heart Rate Variability
Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II |
Věra Kůrková; Yannis Manolopoulos; Barbara Hammer; Lazaros Iliadis; Ilias Maglogiannis
Springer International Publishing
Artificial Neural Networks and Machine Learning – ICANN 2018: 27th International Conference on Artificial Neural Networks, Rhodes, Greece, October 4-7, 2018, Proceedings, Part II
Model Based on Support Vector Machine for the Estimation of the Heart Rate Variability
Authors

Catalina Maria Hernández-Ruiz; Sergio Andrés Villagrán Martínez; Johan Enrique Ortiz Guzmán; Paulo Alonso Gaona Garcia

ARI Id

1665144701830_5023663

Access

Not Available Free

Pages

186-194

DOI

10.1007/978-3-030-01421-6_19

Chapter URL

https://rd.springer.com/chapter/10.1007/978-3-030-01421-6_19

Table of Contents of Book
Showing 1 to 20 of 74 entries
Chapters/HeadingsAuthor(s)PagesInfo
Front Matter
I-XXVIII
Front Matter
1-1
Rank-Revealing Orthogonal Decomposition in Extreme Learning Machine Design
Jacek Kabziński
3-13
An Improved CAD Framework for Digital Mammogram Classification Using Compound Local Binary Pattern and Chaotic Whale Optimization-Based Kernel Extreme Learning Machine
Figlu Mohanty; Suvendu Rup; Bodhisattva Dash
14-23
A Novel Echo State Network Model Using Bayesian Ridge Regression and Independent Component Analysis
Hoang Minh Nguyen; Gaurav Kalra; Tae Joon Jun; Daeyoung Kim
24-34
Front Matter
35-35
A Model for Detection of Angular Velocity of Image Motion Based on the Temporal Tuning of the Drosophila
Huatian Wang; Jigen Peng; Paul Baxter; Chun Zhang; Zhihua Wang; Shigang Yue
37-46
Local Decimal Pattern for Pollen Image Recognition
Liping Han; Yonghua Xie
47-55
New Architecture of Correlated Weights Neural Network for Global Image Transformations
Sławomir Golak; Anna Jama; Marcin Blachnik; Tadeusz Wieczorek
56-65
Compression-Based Clustering of Video Human Activity Using an ASCII Encoding
Guillermo Sarasa; Aaron Montero; Ana Granados; Francisco B. Rodriguez
66-75
Front Matter
77-77
Deep Autoencoders for Additional Insight into Protein Dynamics
Mihai Teletin; Gabriela Czibula; Maria-Iuliana Bocicor; Silvana Albert; Alessandro Pandini
79-89
Pilot Design of a Rule-Based System and an Artificial Neural Network to Risk Evaluation of Atherosclerotic Plaques in Long-Range Clinical Research
Jiri Blahuta; Tomas Soukup; Jakub Skacel
90-100
A Multi-channel Multi-classifier Method for Classifying Pancreatic Cystic Neoplasms Based on ResNet
Haigen Hu; Kangjie Li; Qiu Guan; Feng Chen; Shengyong Chen; Yicheng Ni
101-108
Breast Cancer Histopathological Image Classification via Deep Active Learning and Confidence Boosting
Baolin Du; Qi Qi; Han Zheng; Yue Huang; Xinghao Ding
109-116
Epileptic Seizure Prediction from EEG Signals Using Unsupervised Learning and a Polling-Based Decision Process
Lucas Aparecido Silva Kitano; Miguel Angelo Abreu Sousa; Sara Dereste Santos; Ricardo Pires; Sigride Thome-Souza; Alexandre Brincalepe Campo
117-126
Classification of Bone Tumor on CT Images Using Deep Convolutional Neural Network
Yang Li; Wenyu Zhou; Guiwen Lv; Guibo Luo; Yuesheng Zhu; Ji Liu
127-136
DSL: Automatic Liver Segmentation with Faster R-CNN and DeepLab
Wei Tang; Dongsheng Zou; Su Yang; Jing Shi
137-147
Temporal Convolution Networks for Real-Time Abdominal Fetal Aorta Analysis with Ultrasound
Nicoló Savioli; Silvia Visentin; Erich Cosmi; Enrico Grisan; Pablo Lamata; Giovanni Montana
148-157
An Original Neural Network for Pulmonary Tuberculosis Diagnosis in Radiographs
Junyu Liu; Yang Liu; Cheng Wang; Anwei Li; Bowen Meng; Xiangfei Chai et al.
158-166
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 74 entries
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