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Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data

Water research (Oxford), 2020-03, Vol.171, p.115454-115454, Article 115454

2020

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An Eye Movement Classification Method based on Cascade Forest

IEEE journal of biomedical and health informatics, 2024-08, Vol.PP, p.1-12

2024

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Deep balanced cascade forest: An novel fault diagnosis method for data imbalance

ISA transactions, 2022-07, Vol.126, p.428-439

2022

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Rapid detection of the reducing sugar and amino acid nitrogen contents of Daqu based on hyperspectral imaging

Journal of food composition and analysis, 2021-08, Vol.101, p.103970, Article 103970

2021

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rgfc-Forest: An enhanced deep forest method towards small-sample fault diagnosis of electromechanical system

Expert systems with applications, 2024-03, Vol.238, p.122178, Article 122178

2024

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Comparative analysis of thermal preference prediction performance in different conditions using ensemble learning models based on ASHRAE Comfort Database II

Building and environment, 2022-09, Vol.223, p.109462, Article 109462

2022

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Two novelty learning models developed based on deep cascade forest to address the environmental imbalanced issues: A case study of drinking water quality prediction

Environmental pollution (1987), 2021-12, Vol.291, p.118153-118153, Article 118153

2021

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BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data

BMC bioinformatics, 2018-04, Vol.19 (Suppl 5), p.118-118, Article 118

2018

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A deep Boltzmann machine and multi-grained scanning forest ensemble collaborative method and its application to industrial fault diagnosis

Computers in industry, 2018-09, Vol.100, p.287-296

2018

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MLCDForest: multi-label classification with deep forest in disease prediction for long non-coding RNAs

Briefings in bioinformatics, 2021-05, Vol.22 (3)

2021

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Cascade forest regression algorithm for non-invasive blood pressure estimation using PPG signals

Applied soft computing, 2023-09, Vol.144, p.110520, Article 110520

2023

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A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data

BMC bioinformatics, 2019-10, Vol.20 (1), p.527-527, Article 527

2019

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Prediction of igneous lithology and lithofacies based on ensemble learning with data optimization

Geophysics, 2024-03, Vol.89 (2), p.JM1-JM11

2024

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Comparison of Machine Learning Algorithms for Flood Susceptibility Mapping

Remote sensing (Basel, Switzerland), 2023-01, Vol.15 (1), p.192

2023

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Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features

Briefings in bioinformatics, 2021-05, Vol.22 (3)

2021

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Prediction of miRNA-Disease Associations by Cascade Forest Model Based on Stacked Autoencoder

Molecules (Basel, Switzerland), 2023-06, Vol.28 (13), p.5013

2023

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Deep forest regression for short-term load forecasting of power systems

IEEE access, 2020-01, Vol.8, p.1-1

2020

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Cascade Forest-Based Model for Prediction of RNA Velocity

Molecules (Basel, Switzerland), 2022-11, Vol.27 (22), p.7873

2022

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MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information

Computers in biology and medicine, 2021-09, Vol.136, p.104706-104706, Article 104706

2021

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A laminar augmented cascading flexible neural forest model for classification of cancer subtypes based on gene expression data

BMC bioinformatics, 2021-10, Vol.22 (1), p.475-475, Article 475

2021

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Two-Way MR-Forest Based Growing Path Classification for Malignancy Estimation of Pulmonary Nodules

IEEE journal of biomedical and health informatics, 2021-10, Vol.25 (10), p.3752-3762

2021

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Emotion recognition of EEG signals based on variational mode decomposition and weighted cascade forest

Mathematical biosciences and engineering : MBE, 2023-01, Vol.20 (2), p.2566-2587

2023

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Retinal vessel segmentation based on an improved deep forest

International journal of imaging systems and technology, 2021-12, Vol.31 (4), p.1792-1802

2021

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A Global Coastal Sea Surface Wind Field Correction Method for HY-2C Scatterometer

IEEE journal of selected topics in applied earth observations and remote sensing, 2024-01, Vol.17, p.1-20

2024

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Multiple Land-Use Simulations and Driving Factor Analysis by Integrating a Deep Cascade Forest Model and Cellular Automata: A Case Study in the Pearl River Delta, China

Remote sensing (Basel, Switzerland), 2024-08, Vol.16 (15), p.2750

2024

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Comparative analysis of surface water quality prediction performance and identification of key water parameters using different machine learning models based on big data

An Eye Movement Classification Method based on Cascade Forest

Deep balanced cascade forest: An novel fault diagnosis method for data imbalance

Rapid detection of the reducing sugar and amino acid nitrogen contents of Daqu based on hyperspectral imaging

rgfc-Forest: An enhanced deep forest method towards small-sample fault diagnosis of electromechanical system

Comparative analysis of thermal preference prediction performance in different conditions using ensemble learning models based on ASHRAE Comfort Database II

Two novelty learning models developed based on deep cascade forest to address the environmental imbalanced issues: A case study of drinking water quality prediction

BCDForest: a boosting cascade deep forest model towards the classification of cancer subtypes based on gene expression data

A deep Boltzmann machine and multi-grained scanning forest ensemble collaborative method and its application to industrial fault diagnosis

MLCDForest: multi-label classification with deep forest in disease prediction for long non-coding RNAs

Cascade forest regression algorithm for non-invasive blood pressure estimation using PPG signals

A hierarchical integration deep flexible neural forest framework for cancer subtype classification by integrating multi-omics data

Prediction of igneous lithology and lithofacies based on ensemble learning with data optimization

Comparison of Machine Learning Algorithms for Flood Susceptibility Mapping

Accurate multistage prediction of protein crystallization propensity using deep-cascade forest with sequence-based features

Prediction of miRNA-Disease Associations by Cascade Forest Model Based on Stacked Autoencoder

Deep forest regression for short-term load forecasting of power systems

Cascade Forest-Based Model for Prediction of RNA Velocity

MDA-CF: Predicting MiRNA-Disease associations based on a cascade forest model by fusing multi-source information

A laminar augmented cascading flexible neural forest model for classification of cancer subtypes based on gene expression data

Two-Way MR-Forest Based Growing Path Classification for Malignancy Estimation of Pulmonary Nodules

Emotion recognition of EEG signals based on variational mode decomposition and weighted cascade forest

Retinal vessel segmentation based on an improved deep forest

A Global Coastal Sea Surface Wind Field Correction Method for HY-2C Scatterometer

Multiple Land-Use Simulations and Driving Factor Analysis by Integrating a Deep Cascade Forest Model and Cellular Automata: A Case Study in the Pearl River Delta, China

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