Multi-step influenza outbreak forecasting using deep LSTM network and genetic algorithm

Multivariate time series forecasting via attention-based encoder–decoder framework

(2020) Shengdong Du et al.   NEUROCOMPUTING

An efficient optimization approach for designing machine learning models based on genetic algorithm

(2020) Khader M. Hamdia et al.   NEURAL COMPUTING & APPLICATIONS

Hybrid models based on genetic algorithm and deep learning algorithms for nutritional Anemia disease classification

(2020) Serhat KILICARSLAN et al.   Biomedical Signal Processing and Control

A novel ensemble deep learning model with dynamic error correction and multi-objective ensemble pruning for time series forecasting

(2020) Shuai Zhang et al.   INFORMATION SCIENCES

Near-term Forecasts of Influenza-like Illness

(2019) Sasikiran Kandula et al.   Epidemics

A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures

(2019) Yong Yu et al.   NEURAL COMPUTATION

Stock price prediction based on deep neural networks

(2019) Pengfei Yu et al.   NEURAL COMPUTING & APPLICATIONS

A hybrid hourly natural gas demand forecasting method based on the integration of wavelet transform and enhanced Deep-RNN model

(2019) Huai Su et al.   ENERGY

Deep Learning using Convolutional LSTM estimates Biological Age from Physical Activity

(2019) Syed Ashiqur Rahman et al.   Scientific Reports

A spatio-temporal decomposition based deep neural network for time series forecasting

(2019) Reza Asadi et al.   APPLIED SOFT COMPUTING

Evolving deep learning architectures for network intrusion detection using a double PSO metaheuristic

(2019) Wisam Elmasry et al.   Computer Networks

Diagnosis and monitoring of Alzheimer's patients using classical and deep learning techniques

(2019) M. Raza et al.   EXPERT SYSTEMS WITH APPLICATIONS

Deep Air Quality Forecasting Using Hybrid Deep Learning Framework

(2019) Shengdong Du et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

(2018) Salah Bouktif et al.   Energies

Multi-step prediction for influenza outbreak by an adjusted long short-term memory

(2018) J. Zhang et al.   EPIDEMIOLOGY AND INFECTION

Deep learning with long short-term memory networks for financial market predictions

(2018) Thomas Fischer et al.   EUROPEAN JOURNAL OF OPERATIONAL RESEARCH

Prediction of infectious disease epidemics via weighted density ensembles

(2018) Evan L. Ray et al.   PLoS Computational Biology

Forecasting influenza epidemics by integrating internet search queries and traditional surveillance data with the support vector machine regression model in Liaoning, from 2011 to 2015

(2018) Feng Liang et al.   PeerJ

Influenza Activity Surveillance Based on Multiple Regression Model and Artificial Neural Network

(2018) Hongxin Xue et al.   IEEE Access

A deep learning approach for real-time detection of atrial fibrillation

(2018) Rasmus S. Andersen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Time series forecasting of petroleum production using deep LSTM recurrent networks

(2018) Alaa Sagheer et al.   NEUROCOMPUTING

Traffic flow prediction using LSTM with feature enhancement

(2018) Bailin Yang et al.   NEUROCOMPUTING

Multi-output bus travel time prediction with convolutional LSTM neural network

(2018) Niklas Christoffer Petersen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Modified genetic algorithm-based feature selection combined with pre-trained deep neural network for demand forecasting in outpatient department

(2017) Shancheng Jiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

A new efficient training strategy for deep neural networks by hybridization of artificial bee colony and limited–memory BFGS optimization algorithms

(2017) Hasan Badem et al.   NEUROCOMPUTING

Time series analysis of weekly influenza-like illness rate using a one-year period of factors in random forest regression

(2017) Hongyan Wu et al.   BioScience Trends

Deep learning

(2015) Yann LeCun et al.   NATURE

Analysing Twitter and web queries for flu trend prediction

(2014) José Santos et al.   Theoretical Biology and Medical Modelling

Optimal parameters selection for BP neural network based on particle swarm optimization: A case study of wind speed forecasting

(2013) Chao Ren et al.   KNOWLEDGE-BASED SYSTEMS

Influenza Forecasting with Google Flu Trends

(2013) Andrea Freyer Dugas et al.   PLoS One

Real-time influenza forecasts during the 2012–2013 season

(2013) Jeffrey Shaman et al.   Nature Communications

Financial time series forecasting using independent component analysis and support vector regression

(2009) Chi-Jie Lu et al.   DECISION SUPPORT SYSTEMS

Surveying stock market forecasting techniques – Part II: Soft computing methods

(2008) George S. Atsalakis et al.   EXPERT SYSTEMS WITH APPLICATIONS