Related references
Note: Only part of the references are listed.CASpMV: A Customized and Accelerative SpMV Framework for the Sunway TaihuLight
Guoqing Xiao et al.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2021)
Design of experiments using artificial neural network ensemble for photovoltaic generation forecasting
M. O. Moreira et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2021)
A survey on deep learning in medicine: Why, how and when?
Francesco Piccialli et al.
INFORMATION FUSION (2021)
A novel time series forecasting model with deep learning
Zhipeng Shen et al.
NEUROCOMPUTING (2020)
Detection of microcytic hypochromia using cbc and blood film features extracted from convolution neural network by different classifiers
Shikha Purwar et al.
MULTIMEDIA TOOLS AND APPLICATIONS (2020)
Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series
Matheus Henrique Dal Molin Ribeiro et al.
APPLIED SOFT COMPUTING (2020)
A body sensor data fusion and deep recurrent neural network-based behavior recognition approach for robust healthcare
Md. Zia Uddin et al.
INFORMATION FUSION (2020)
Fusing wearable and remote sensing data streams by fast incremental learning with swarm decision table for human activity recognition
Tengyue Li et al.
INFORMATION FUSION (2020)
Healthcare predictive analytics for disease progression: a longitudinal data fusion approach
Yi Zheng et al.
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS (2020)
A Multimodal Wearable System for Continuous and Real-Time Breathing Pattern Monitoring During Daily Activity
Wen Qi et al.
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS (2020)
A new hybrid financial time series prediction model
Bashar Alhnaity et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2020)
Multimodal multitask deep learning model for Alzheimer's disease progression detection based on time series data
Shaker El-Sappagh et al.
NEUROCOMPUTING (2020)
Application of Convolutional Neural Network-Based Feature Extraction and Data Fusion for Geographical Origin Identification of Radix Astragali by Visible/Short-Wave Near-Infrared and Near Infrared Hyperspectral Imaging
Qinlin Xiao et al.
SENSORS (2020)
Aggregating forecasts of multiple respiratory pathogens supports more accurate forecasting of influenza-like illness
Sen Pei et al.
PLOS COMPUTATIONAL BIOLOGY (2020)
Featuring periodic correlations via dual granularity inputs structuredRNNsensemble load forecaster
Lyuzerui Yuan et al.
INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS (2020)
Development of a robust ensemble meta-model for prediction of salinity time series under uncertainty (case study: Talar aquifer)
Ali Ranjbar et al.
HELIYON (2020)
Combining structured and unstructured data for predictive models: a deep learning approach
Dongdong Zhang et al.
BMC MEDICAL INFORMATICS AND DECISION MAKING (2020)
A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion
Farman Ali et al.
INFORMATION FUSION (2020)
Fast and accurate yearly time series forecasting with forecast combinations
David Shaub
INTERNATIONAL JOURNAL OF FORECASTING (2020)
A periodicity-based parallel time series prediction algorithm in cloud computing environments
Jianguo Chen et al.
INFORMATION SCIENCES (2019)
Performance-Aware Model for Sparse Matrix-Matrix Multiplication on the Sunway TaihuLight Supercomputer
Yuedan Chen et al.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS (2019)
Combining time-series and textual data for taxi demand prediction in event areas: A deep learning approach
Filipe Rodrigues et al.
INFORMATION FUSION (2019)
Health risk assessment and decision-making for patient monitoring and decision-support using Wireless Body Sensor Networks
Carol Habib et al.
INFORMATION FUSION (2019)
Inferring causation from time series in Earth system sciences
Jakob Runge et al.
NATURE COMMUNICATIONS (2019)
Forecasting dengue and influenza incidences using a sparse representation of Google trends, electronic health records, and time series data
Prashant Rangarajan et al.
PLOS COMPUTATIONAL BIOLOGY (2019)
Detecting and quantifying causal associations in large nonlinear time series datasets
Jakob Runge et al.
SCIENCE ADVANCES (2019)
Multi-step forecasting for big data time series based on ensemble learning
A. Galicia et al.
KNOWLEDGE-BASED SYSTEMS (2019)
Transforming healthcare with big data analytics and artificial intelligence: A systematic mapping study
Nishita Mehta et al.
JOURNAL OF BIOMEDICAL INFORMATICS (2019)
Multisource Hyperspectral and LiDAR Data Fusion for Urban Land-Use Mapping based on a Modified Two-Branch Convolutional Neural Network
Quanlong Feng et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)
Predicting scheduled hospital attendance with artificial intelligence
Amy Nelson et al.
NPJ DIGITAL MEDICINE (2019)
A Novel Ensemble Method for Electric Vehicle Power Consumption Forecasting: Application to the Spanish System
Catalina Gomez-Quiles et al.
IEEE ACCESS (2019)
Data mining and predictive analytics applications for the delivery of healthcare services: a systematic literature review
M. M. Malik et al.
ANNALS OF OPERATIONS RESEARCH (2018)
A Study of Cell-Free DNA Fragmentation Pattern and Its Application in DNA Sample Type Classification
Shifu Chen et al.
IEEE-ACM TRANSACTIONS ON COMPUTATIONAL BIOLOGY AND BIOINFORMATICS (2018)
Data fusion combined with echo state network for multivariate time series prediction in complex electromechanical system
Yanjie Liang et al.
COMPUTATIONAL & APPLIED MATHEMATICS (2018)
Data fusion combined with echo state network for multivariate time series prediction in complex electromechanical system
Yanjie Liang et al.
COMPUTATIONAL & APPLIED MATHEMATICS (2018)
Optimal multi-source forecasting of seasonal influenza
Zeynep Ertem et al.
PLOS COMPUTATIONAL BIOLOGY (2018)
The M4 Competition: Results, findings, conclusion and way forward
Spyros Makridakis et al.
INTERNATIONAL JOURNAL OF FORECASTING (2018)
A hybrid ETS ANN model for time series forecasting
Sibarama Panigrahi et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2017)
A Convolutional Neural Network for Fault Classification and Diagnosis in Semiconductor Manufacturing Processes
Ki Bum Lee et al.
IEEE TRANSACTIONS ON SEMICONDUCTOR MANUFACTURING (2017)
A genetic algorithm-based weighted ensemble method for predicting transposon-derived piRNAs
Dingfang Li et al.
BMC BIOINFORMATICS (2016)
Predictive analytics model for healthcare planning and scheduling
Shannon L. Harris et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2016)
Control of a nonlinear liquid level system using a new artificial neural network based reinforcement learning approach
Mattew Mithra Noel et al.
APPLIED SOFT COMPUTING (2014)
A Kalman Filter-Based Ensemble Approach With Application to Turbine Creep Prognostics
Piero Baraldi et al.
IEEE TRANSACTIONS ON RELIABILITY (2012)
On the use of cross-validation for time series predictor evaluation
Christoph Bergmeir et al.
INFORMATION SCIENCES (2012)
A hybrid model for wind speed prediction using empirical mode decomposition and artificial neural networks
Hui Liu et al.
RENEWABLE ENERGY (2012)
Detecting Causality in Complex Ecosystems
George Sugihara et al.
SCIENCE (2012)
Forecasting nonlinear time series with a hybrid methodology
Cagdas Hakan Aladag et al.
APPLIED MATHEMATICS LETTERS (2009)
Hybrid neural network models for hydrologic time series forecasting
Ashu Jain et al.
APPLIED SOFT COMPUTING (2007)
Bias in error estimation when using cross-validation for model selection
S Varma et al.
BMC BIOINFORMATICS (2006)
Time-series prediction using a local linear wavelet neural network
YH Chen et al.
NEUROCOMPUTING (2006)
Forecasting seasonals and trends by exponentially weighted moving averages
CC Holt
INTERNATIONAL JOURNAL OF FORECASTING (2004)
Time series forecasting using a hybrid ARIMA and neural network model
GP Zhang
NEUROCOMPUTING (2003)
Combining neural network model with seasonal time series ARIMA model
FM Tseng et al.
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE (2002)
Time series forecasting with neural network ensembles: an application for exchange rate prediction
GP Zhang et al.
JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY (2001)