Accurate and adversarially robust classification of medical images and ECG time-series with gradient-free trained sign activation neural networks

2020 ◽  
Author(s):  
Zhibo Yang ◽  
Yanan Yang ◽  
Yunzhe Xue ◽  
Frank Y. Shih ◽  
Justin Ady ◽  
...  
Keyword(s):  
Neural Networks ◽  
Time Series ◽  
Medical Images ◽  
Robust Classification

scholarly journals ECG Prediction Based on Classification via Neural Networks and Linguistic Fuzzy Logic Forecaster

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Eva Volna ◽  
Martin Kotyrba ◽  
Hashim Habiballa
Keyword(s):  
Neural Networks ◽  
Time Series ◽  
Ecg Signals ◽  
Detection Systems ◽  
Language Interpretation ◽  
Different Types ◽  
Time Courses ◽  
Natural Language Interpretation ◽  
Unique Capability

The paper deals with ECG prediction based on neural networks classification of different types of time courses of ECG signals. The main objective is to recognise normal cycles and arrhythmias and perform further diagnosis. We proposed two detection systems that have been created with usage of neural networks. The experimental part makes it possible to load ECG signals, preprocess them, and classify them into given classes. Outputs from the classifiers carry a predictive character. All experimental results from both of the proposed classifiers are mutually compared in the conclusion. We also experimented with the new method of time series transparent prediction based on fuzzy transform with linguistic IF-THEN rules. Preliminary results show interesting results based on the unique capability of this approach bringing natural language interpretation of particular prediction, that is, the properties of time series.

Robust Classification of "Artificial Nose" Sensor Data by Artificial Neural Networks

1997 ◽  
Vol 30 (9) ◽  
pp. 347-351 ◽  
Author(s):  
Z. Boger ◽  
L. Ratton ◽  
T.A. Kunt ◽  
T.J. Mc Avoy ◽  
R.E. Cavicchi ◽  
...  
Keyword(s):  
Neural Networks ◽  
Artificial Neural Networks ◽  
Sensor Data ◽  
Robust Classification ◽  
Artificial Nose ◽  
Artificial Neural

scholarly journals Constrained mixture estimation for analysis and robust classification of clinical time series

2009 ◽  
Vol 25 (12) ◽  
pp. i6-i14 ◽  
Author(s):  
Ivan G. Costa ◽  
Alexander Schönhuth ◽  
Christoph Hafemeister ◽  
Alexander Schliep
Keyword(s):  
Time Series ◽  
Robust Classification ◽  
Constrained Mixture

scholarly journals Convolutional Neural Network Classification of Telematics Car Driving Data

Risks ◽  
2019 ◽  
Vol 7 (1) ◽  
pp. 6 ◽  
Author(s):  
Guangyuan Gao ◽  
Mario Wüthrich
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Time Series ◽  
Convolutional Neural Network ◽  
High Frequency ◽  
Location Data ◽  
Neural Network Classification ◽  
Feature Information ◽  
Car Driving

The aim of this project is to analyze high-frequency GPS location data (second per second) of individual car drivers (and trips). We extract feature information about speeds, acceleration, deceleration, and changes of direction from this high-frequency GPS location data. Time series of this feature information allow us to appropriately allocate individual car driving trips to selected drivers using convolutional neural networks.

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