A deep learning framework for time series classification using normal cloud representation and convolutional neural network optimization

An adaptive Drop method for deep neural networks regularization: Estimation of DropConnect hyperparameter using generalization gap

(2022) El Houssaine Hssayni et al.   KNOWLEDGE-BASED SYSTEMS

Bidirectional LSTM-RNN-based hybrid deep learning frameworks for univariate time series classification

(2021) Mehak Khan et al.   JOURNAL OF SUPERCOMPUTING

Deep recurrent neural networks with finite-time terminal sliding mode control for a chaotic fractional-order financial system with market confidence

(2021) Yong-Long Wang et al.   CHAOS SOLITONS & FRACTALS

Deep neural network-based generalized sidelobe canceller for dual-channel far-field speech recognition

(2021) Guanjun Li et al.   NEURAL NETWORKS

Simulation of photo-voltaic power generation using copula autoregressive models for solar irradiance and air temperature time series

(2021) Andres Felipe Ramírez et al.   RENEWABLE ENERGY

Analyzing ecological environment change and associated driving factors in China based on NDVI time series data

(2021) Luguang Jiang et al.   ECOLOGICAL INDICATORS

KRR-CNN: kernels redundancy reduction in convolutional neural networks

(2021) El houssaine Hssayni et al.   NEURAL COMPUTING & APPLICATIONS

Financial time series forecasting with deep learning : A systematic literature review: 2005–2019

(2020) Omer Berat Sezer et al.   APPLIED SOFT COMPUTING

Knowledge extraction from deep convolutional neural networks applied to cyclo-stationary time-series classification

(2020) Diego Cabrera et al.   INFORMATION SCIENCES

Time series classification based on multi-feature dictionary representation and ensemble learning

(2020) Bing Bai et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep learning for time series classification: a review

(2019) Hassan Ismail Fawaz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

A deep learning framework for time series classification using Relative Position Matrix and Convolutional Neural Network

(2019) Wei Chen et al.   NEUROCOMPUTING

Classification of chaotic time series with deep learning

(2019) Nicolas Boullé et al.   PHYSICA D-NONLINEAR PHENOMENA

Mathematical mixed-integer programming for solving a new optimization model of selective image restoration: modelling and resolution by CHN and GA

(2018) Nour-eddine Joudar et al.   CIRCUITS SYSTEMS AND SIGNAL PROCESSING

A Deep Machine Learning Method for Classifying Cyclic Time Series of Biological Signals Using Time-Growing Neural Network

(2017) Arash Gharehbaghi et al.   IEEE Transactions on Neural Networks and Learning Systems

Piecewise two-dimensional normal cloud representation for time-series data mining

(2016) Weihui Deng et al.   INFORMATION SCIENCES

Time-Series Classification with COTE: The Collective of Transformation-Based Ensembles

(2015) Anthony Bagnall et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

The BOSS is concerned with time series classification in the presence of noise

(2014) Patrick Schäfer   DATA MINING AND KNOWLEDGE DISCOVERY

A Bag-of-Features Framework to Classify Time Series

(2013) M. G. Baydogan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

A time series forest for classification and feature extraction

(2013) Houtao Deng et al.   INFORMATION SCIENCES

A new cognitive model: Cloud model

(2009) Deyi Li et al.   INTERNATIONAL JOURNAL OF INTELLIGENT SYSTEMS