Spatial and Temporal Normalization for Multi-Variate Time Series Prediction Using Machine Learning Algorithms

Hierarchical forecasting with a top-down alignment of independent-level forecasts

(2022) Matthias Anderer et al.   INTERNATIONAL JOURNAL OF FORECASTING

Artificial intelligence and healthcare: Forecasting of medical bookings through multi-source time-series fusion

(2021) Francesco Piccialli et al.   Information Fusion

Multi-models and dual-sampling periods quality prediction with time-dimensional K-means and state transition-LSTM network

(2021) Xiongtao Shi et al.   INFORMATION SCIENCES

Sediment transport modeling in non-deposition with clean bed condition using different tree-based algorithms

(2021) Enes Gul et al.   PLoS One

Hybridization of multivariate adaptive regression splines and random forest models with an empirical equation for sediment deposition prediction in open channel flow

(2020) Mir Jafar Sadegh Safari   JOURNAL OF HYDROLOGY

Efficient Spatial-Temporal Normalization of SAE Representation for Event Camera

(2020) Shijie Lin et al.   IEEE Robotics and Automation Letters

Sparse kernel regression technique for self-cleansing channel design

(2020) Mir Jafar Sadegh Safari et al.   ADVANCED ENGINEERING INFORMATICS

Implementation of hybrid particle swarm optimization-differential evolution algorithms coupled with multi-layer perceptron for suspended sediment load estimation

(2020) Babak Mohammadi et al.   CATENA

Normalization of the temporal effect on the MODIS land surface temperature product using random forest regression

(2019) Wei Zhao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Hybrid models to improve the monthly river flow prediction: Integrating artificial intelligence and non-linear time series models

(2019) Farshad Fathian et al.   JOURNAL OF HYDROLOGY

Real-Time Water-Level Forecasting Using Dilated Causal Convolutional Neural Networks

(2019) Jhih-Huang Wang et al.   WATER RESOURCES MANAGEMENT

Statistical and Machine Learning forecasting methods: Concerns and ways forward

(2018) Spyros Makridakis et al.   PLoS One

Temporal Contingencies Determine Whether Adaptation Strengthens or Weakens Normalization

(2018) Amir Aschner et al.   JOURNAL OF NEUROSCIENCE

Mean Absolute Percentage Error for regression models

(2016) Arnaud de Myttenaere et al.   NEUROCOMPUTING

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

(2012) Souhaib Ben Taieb et al.   EXPERT SYSTEMS WITH APPLICATIONS

The vector innovations structural time series framework

(2010) Ashton de Silva et al.   STATISTICAL MODELLING

Tensor Decompositions and Applications

(2009) Tamara G. Kolda et al.   SIAM REVIEW

Forecasting and operational research: a review

(2008) R Fildes et al.   JOURNAL OF THE OPERATIONAL RESEARCH SOCIETY