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Improving protein-protein interactions prediction accuracy using XGBoost feature selection and stacked ensemble classifier
Chen, Cheng, Zhang, Qingmei, Yu, Bin, Yu, Zhaomin, Lawrence, Patrick J., Ma, Qin, Zhang, Yan
Published in Computers in biology and medicine (01.08.2020)
Published in Computers in biology and medicine (01.08.2020)
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Journal Article
Machine learning algorithms for outcome prediction in (chemo)radiotherapy: An empirical comparison of classifiers
Deist, Timo M., Dankers, Frank J. W. M., Valdes, Gilmer, Wijsman, Robin, Hsu, I‐Chow, Oberije, Cary, Lustberg, Tim, Soest, Johan, Hoebers, Frank, Jochems, Arthur, El Naqa, Issam, Wee, Leonard, Morin, Olivier, Raleigh, David R., Bots, Wouter, Kaanders, Johannes H., Belderbos, José, Kwint, Margriet, Solberg, Timothy, Monshouwer, René, Bussink, Johan, Dekker, Andre, Lambin, Philippe
Published in Medical physics (Lancaster) (01.07.2018)
Published in Medical physics (Lancaster) (01.07.2018)
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Journal Article
Qmin – A machine learning-based application for processing and analysis of mineral chemistry data
da Silva, Guilherme Ferreira, Ferreira, Marcos Vinicius, Costa, Iago Sousa Lima, Bernardes, Renato Borges, Mota, Carlos Eduardo Miranda, Cuadros Jiménez, Federico Alberto
Published in Computers & geosciences (01.12.2021)
Published in Computers & geosciences (01.12.2021)
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Journal Article
Advancing the prediction accuracy of protein-protein interactions by utilizing evolutionary information from position-specific scoring matrix and ensemble classifier
Wang, Lei, You, Zhu-Hong, Xia, Shi-Xiong, Liu, Feng, Chen, Xing, Yan, Xin, Zhou, Yong
Published in Journal of theoretical biology (07.04.2017)
Published in Journal of theoretical biology (07.04.2017)
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Journal Article
An improved efficient rotation forest algorithm to predict the interactions among proteins
Wang, Lei, You, Zhu-Hong, Xia, Shi-Xiong, Chen, Xing, Yan, Xin, Zhou, Yong, Liu, Feng
Published in Soft computing (Berlin, Germany) (01.05.2018)
Published in Soft computing (Berlin, Germany) (01.05.2018)
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Journal Article
Classification of solid fuels with machine learning
Elmaz, Furkan, Büyükçakır, Barkın, Yücel, Özgün, Mutlu, Ali Yener
Published in Fuel (Guildford) (15.04.2020)
Published in Fuel (Guildford) (15.04.2020)
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Journal Article
Protein–protein interaction sites prediction by ensemble random forests with synthetic minority oversampling technique
Wang, Xiaoying, Yu, Bin, Ma, Anjun, Chen, Cheng, Liu, Bingqiang, Ma, Qin
Published in Bioinformatics (15.07.2019)
Published in Bioinformatics (15.07.2019)
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Journal Article
Machine Learning Algorithms Predict Successful Weaning From Mechanical Ventilation Before Intubation: Retrospective Analysis From the Medical Information Mart for Intensive Care IV Database
Kim, Jinchul, Kim, Yun Kwan, Kim, Hyeyeon, Jung, Hyojung, Koh, Soonjeong, Kim, Yujeong, Yoon, Dukyong, Yi, Hahn, Kim, Hyung-Jun
Published in JMIR formative research (14.11.2023)
Published in JMIR formative research (14.11.2023)
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Journal Article
CatchPhish: detection of phishing websites by inspecting URLs
Rao, Routhu Srinivasa, Vaishnavi, Tatti, Pais, Alwyn Roshan
Published in Journal of ambient intelligence and humanized computing (01.02.2020)
Published in Journal of ambient intelligence and humanized computing (01.02.2020)
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Journal Article