Search Results - "feature selection"

A New Hybrid Method for Improving the Performance of Myocardial Infarction Prediction by Hojatollah Hamidi, Atefeh Daraie

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ClearF: a supervised feature scoring method to find biomarkers using class-wise embedding and reconstruction by Sehee Wang, Hyun-Hwan Jeong, Kyung-Ah Sohn

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Predicting generalized anxiety disorder among women using Shapley value by Neesha Jothi, Wahidah Husain, Nur'Aini Abdul Rashid

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SELEKSI FITUR INFORMATION GAIN PADA ANALISISSENTIMEN TERHADAP ULASAN APLIKASI FLIP DENGANALGORITMA SUPPORT VECTOR MACHINE by Isma'il Muhammad Falih,

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Computer-assisted lip diagnosis on traditional Chinese medicine using multi-class support vector machines by Li FuFeng, Zhao Changbo, Xia Zheng, Wang Yiqin, Zhou Xiaobo, Li Guo-Zheng

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Prediction of Antidepressant Treatment Response and Remission Using an Ensemble Machine Learning Framework by Eugene Lin, Po-Hsiu Kuo, Yu-Li Liu, Younger W.-Y. Yu, Albert C. Yang, Shih-Jen Tsai

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AUTOMATIC CLASSIFICATION OF EFL LEARNERS' SELF-REPORTED TEXT DOCUMENTS ALONG AN AFFECTIVE CONTINUUM by Derya Uysal, Alper Kürşat Uysal

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Network-based drug sensitivity prediction by Khandakar Tanvir Ahmed, Sunho Park, Qibing Jiang, Yunku Yeu, TaeHyun Hwang, Wei Zhang

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An Efficient Predictive Model for Myocardial Infarction Using Cost-sensitive J48 Model by Atefeh DARAEI, Hodjat HAMIDI

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Machine Learning of Single-Cell Transcriptome Highly Identifies mRNA Signature by Comparing F-Score Selection with DGE Analysis by Pengfei Liang, Wuritu Yang, Xing Chen, Chunshen Long, Lei Zheng, Hanshuang Li, Yongchun Zuo

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ANALISIS SENTIMEN REVIEW APLIKASI BERITA ONLINE PADA GOOGLE PLAY MENGGUNAKAN METODE NAÏVE BAYES STUDI KASUS: TRIBUNNEWS.COM by Aditya Samiaji,

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ANALISIS SENTIMEN UNTUK KLASIFIKASI ULASAN PENGGUNAPADA APLIKASI JENIUS MENGGUNAKAN ALGORITMA NAIVE BAYES BERBASIS PARTICLE SWARM OPTIMIZATION by Vivi Indah Fitriani, -

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miRDM-rfGA: Genetic algorithm-based identification of a miRNA set for detecting type 2 diabetes by Aron Park, Seungyoon Nam

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Evaluating the risk of endometriosis based on patients' self-assessment questionnaires by Krystian Zieliński, Dajana Drabczyk, Michał Kunicki, Damian Drzyzga, Anna Kloska, Jacek Rumiński

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ANALISIS SENTIMEN TERHADAP LAYANAN TRANSJAKARTA PADA MEDIA SOSIAL INSTAGRAMMENGGUNAKAN METODE NAÏVE BAYES DAN SELEKSI FITUR INFORMATION GAIN by Ivtytah Ein,

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ANALISIS SENTIMEN PADA ULASAN PRODUK MASKER DI MARKETPLACE SHOPEE MENGGUNAKAN SUPPORT VECTOR MACHINE DAN SELEKSI FITUR CHI SQUARE by Willy Winata,

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PENERAPAN KLASIFIKASI RANDOM FOREST TERHADAP DATA GANGGUAN SPEKTRUM AUTISME (ASD) PADA ANAK - ANAK MENGGUNAKAN SELEKSI FITUR PRINCIPAL COMPONENT ANALYSIS by Luthfiyah Amatullah,

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OPTIMASI ALGORITMA SUPPORT VECTOR MACHINE MENGGUNAKAN SELEKSI FITUR PARTICLE SWARM OPTIMIZATION PADA ANALISIS SENTIMEN TERHADAP KEBIJAKAN PPKM by Hasan Mubarok,

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ANALISIS SENTIMEN PADA ULASAN APLIKASI BUKUKAS DI GOOGLE PLAY STORE MENGGUNAKAN METODE NAÏVE BAYES DENGAN SELEKSI FITUR CHI-SQUARE by Hariyanto Prasetyo,

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National-scale mapping of soil organic carbon stock in France: New insights and lessons learned by direct and indirect approaches by Zhongxing Chen, Qi Shuai, Zhou Shi, Dominique Arrouays, Anne C. Richer-, Songchao Chen

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