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Decision tree learning

Enhancing Confusion Entropy (CEN) for binary and multiclass classification

Rosario Delgado, J. David Núñez-González

published 14 Jan 2019

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Computational prediction of diagnosis and feature selection on mesothelioma patient health records

Davide Chicco, Cristina Rovelli

published 10 Jan 2019

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Development and validation of an ensemble classifier for real-time recognition of cow behavior patterns from accelerometer data and location data

Jun Wang, Zhitao He, Guoqiang Zheng, Song Gao, Kaixuan Zhao

published 07 Sep 2018

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One-pass-throw-away learning for cybersecurity in streaming non-stationary environments by dynamic stratum network

Mongkhon Thakong, Suphakant Phimoltares, Saichon Jaiyen, Chidchanok Lursinsap

published 06 Sep 2018

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Improving the performance of lexicon-based review sentiment analysis method by reducing additional introduced sentiment bias

Hongyu Han, Yongshi Zhang, Jianpei Zhang, Jing Yang, Xiaomei Zou

published 24 Aug 2018

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Experienced mental workload, perception of usability, their interaction and impact on task performance

Luca Longo

published 01 Aug 2018

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Machine learning-based identification of genetic interactions from heterogeneous gene expression profiles

Chihyun Park, JungRim Kim, Jeongwoo Kim, Sanghyun Park

published 26 Jul 2018

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ENTPRISE-X: Predicting disease-associated frameshift and nonsense mutations

Hongyi Zhou, Mu Gao, Jeffrey Skolnick

published 03 May 2018

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An automated, high-throughput plant phenotyping system using machine learning-based plant segmentation and image analysis

Unseok Lee, Sungyul Chang, Gian Anantrio Putra, Hyoungseok Kim, Dong Hwan Kim

published 27 Apr 2018

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Digital case-based learning system in school

Peipei Gu, Jiayang Guo

published 06 Nov 2017

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Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing

Alemayehu Midekisa, Felix Holl, David J. Savory, Ricardo Andrade-Pacheco, Peter W. Gething, Adam Bennett, Hugh J. W. Sturrock

published 27 Sep 2017

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Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree

Chang Zhou, Hua Yu, Yijie Ding, Fei Guo, Xiu-Jun Gong

published 08 Aug 2017

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Predicting diabetes mellitus using SMOTE and ensemble machine learning approach: The Henry Ford ExercIse Testing (FIT) project

Manal Alghamdi, Mouaz Al-Mallah, Steven Keteyian, Clinton Brawner, Jonathan Ehrman, Sherif Sakr

published 24 Jul 2017

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