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Comparative Study of Several Machine Learning Algorithms for Classification of Unifloral Honeys


How can artificial intelligence be used for peptidomics?

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Travel Time Prediction in a Multimodal Freight Transport Relation Using Machine Learning Algorithms


Benchmarking regression methods for function approximation in reinforcement learning: heat pump control

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Vehicle Detection System for Smart Crosswalks Using Sensors and Machine Learning


StackIL6: a stacking ensemble model for improving the prediction of IL-6 inducing peptides.


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CSSG: A cost‐sensitive stacked generalization approach for software defect prediction


A rapid quality grade discrimination method for Gastrodia elata powderusing ATR-FTIR and chemometrics.

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Editorial: Testing, Debugging, and Defect Prediction


A Sentiment Classification in Bengali and Machine Translated English Corpus

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CSSG: A cost‐sensitive stacked generalization approach for software defect prediction


An Automated Machine Learning Approach for Stroke Prediction

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Extremely randomized neural networks for constructing prediction intervals.


Predicting women with depressive symptoms postpartum with machine learning methods

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ET‐score: Improving Protein‐ligand Binding Affinity Prediction Based on Distance‐weighted Interatomic Contact Features Using Extremely Randomized Trees Algorithm


An extremely randomized trees method for weapons classification based on wound patterns of sharp metals using ultrasound images

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Estimation of Influence Distance of Bus Stops Using Bus GPS Data and Bus Stop Properties


Automatic Estimation of Stellar Atmospheric Parameters Based on Extremely Randomized Trees


Data-Driven Permanent Magnet Temperature Estimation in Synchronous Motors With Supervised Machine Learning: A Benchmark



Performance Evaluation of Tree Ensemble Classification Models Towards Challenges of Big Data Analytics



ForestNet - Automatic Design of Sparse Multilayer Perceptron Network Architectures Using Ensembles of Randomized Trees


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Randomized Trees 隨機樹


Randomized Trees 隨機樹
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