Time series classification and creation of 2D bifurcation diagrams in nonlinear dynamical systems using supervised machine learning methods

A Unified Form of Fuzzy C-Means and K-Means algorithms and its Partitional Implementation

(2021) Ioan-Daniel Borlea et al.   KNOWLEDGE-BASED SYSTEMS

Reconstructing bifurcation diagrams only from time-series data generated by electronic circuits in discrete-time dynamical systems

(2020) Y. Itoh et al.   CHAOS

State and parameter joint estimation of linear stochastic systems in presence of faults and non‐Gaussian noises

(2020) Vladimir Stojanovic et al.   INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL

A novel time series forecasting model with deep learning

(2019) Zhipeng Shen et al.   NEUROCOMPUTING

Multivariate LSTM-FCNs for time series classification

(2019) Fazle Karim et al.   NEURAL NETWORKS

Surrogate data for hypothesis testing of physical systems

(2018) Gemma Lancaster et al.   PHYSICS REPORTS-REVIEW SECTION OF PHYSICS LETTERS

LSTM Fully Convolutional Networks for Time Series Classification

(2018) Fazle Karim et al.   IEEE Access

Complex Two-Parameter Bifurcation Diagrams of a Simple Oscillating Circuit

(2018) Wieslaw Marszalek et al.   IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS

Parallel Computing of 2-D Bifurcation Diagrams in Circuits With Electric Arcs

(2018) Wieslaw Marszalek et al.   IEEE TRANSACTIONS ON PLASMA SCIENCE

Electric load forecasting by the SVR model with differential empirical mode decomposition and auto regression

(2016) Guo-Feng Fan et al.   NEUROCOMPUTING

A time series forest for classification and feature extraction

(2013) Houtao Deng et al.   INFORMATION SCIENCES

A systematic analysis of performance measures for classification tasks

(2009) Marina Sokolova et al.   INFORMATION PROCESSING & MANAGEMENT