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Hidden semi-Markov-switching quantile regression for time series

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Corn cash price forecasting with neural networks

(2021) Xiaojie Xu et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Prediction of maize growth stages based on deep learning

(2020) Yang Yue et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Time-serial analysis of deep neural network models for prediction of climatic conditions inside a greenhouse

(2020) Dae-Hyun Jung et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Analysis of support vector regression kernels for energy storage efficiency prediction

(2020) Desmond Eseoghene Ighravwe et al.   Energy Reports

A comparative study of wind-induced dynamic response models of long-span bridges using artificial neural networks, support vector regression and buffeting theory

(2020) Dario Fernandez Castellon et al.   JOURNAL OF WIND ENGINEERING AND INDUSTRIAL AERODYNAMICS

Optimized neural network combined model based on the induced ordered weighted averaging operator for vegetable price forecasting

(2020) Bo Li et al.   EXPERT SYSTEMS WITH APPLICATIONS

Random forest prediction of Alzheimer’s disease using pairwise selection from time series data

(2019) P. J. Moore et al.   PLoS One

A fast and accurate approach for bankruptcy forecasting using squared logistics loss with GPU-based extreme gradient boosting

(2019) Tuong Le et al.   INFORMATION SCIENCES

Non-ferrous metals price forecasting based on variational mode decomposition and LSTM network

(2019) Yishun Liu et al.   KNOWLEDGE-BASED SYSTEMS

Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series

(2019) Matheus Henrique Dal Molin Ribeiro et al.   APPLIED SOFT COMPUTING

Developing a Long Short-Term Memory (LSTM) based model for predicting water table depth in agricultural areas

(2018) Jianfeng Zhang et al.   JOURNAL OF HYDROLOGY

Forecasting yield by integrating agrarian factors and machine learning models: A survey

(2018) Dhivya Elavarasan et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

A Novel Agricultural Commodity Price Forecasting Model Based on Fuzzy Information Granulation and MEA-SVM Model

(2018) Yongli Zhang et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

Oblique random forest ensemble via Least Square Estimation for time series forecasting

(2017) Xueheng Qiu et al.   INFORMATION SCIENCES

Granger Causality Driven AHP for Feature Weighted kNN

(2017) Gautam Bhattacharya et al.   PATTERN RECOGNITION

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

Real-Time Grain Commodities Price Predictions in South Africa: A Big Data and Neural Networks Approach

(2016) Kayode Ayankoya et al.   Agrekon

A novel forecasting method based on multi-order fuzzy time series and technical analysis

(2016) Furong Ye et al.   INFORMATION SCIENCES

A combination method for interval forecasting of agricultural commodity futures prices

(2015) Tao Xiong et al.   KNOWLEDGE-BASED SYSTEMS

Fifty Years of Classification and Regression Trees

(2014) Wei-Yin Loh   INTERNATIONAL STATISTICAL REVIEW