Unsupervised feature selection algorithm based on L 2,p-norm feature reconstruction. by Wei Liu, Qian Ning, Guangwei Liu, Haonan Wang, Yixin Zhu, Miao Zhong

“…Traditional subspace feature selection methods typically rely on a fixed distance to compute residuals between the original and feature reconstruction spaces. …”
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Multi-Label Feature Selection with Feature–Label Subgraph Association and Graph Representation Learning by Jinghou Ruan, Mingwei Wang, Deqing Liu, Maolin Chen, Xianjun Gao

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FEATURE SELECTION IN THE TASK OF MEDICAL DIAGNOSTICS ON MICROARRAY DATA by N. G. Zagoruiko, O. A. Kutnenko, I. A. Borisova, V. V. Dyubanov, D. A. Levanov, O. A. Zyranov

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Features of growth and development Of tea selection forms in adygea by L. V. Vavilova, B. V. Korzun

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Binary atom search optimisation approaches for feature selection by Jingwei Too, Abdul Rahim Abdullah

Subjects: “…feature selection…”
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Unsupervised Feature Selection With Ordinal Preserving Self-Representation by Jiangyan Dai, Yuqi Chen, Yugen Yi, Jining Bao, Lei Wang, Wei Zhou, Gang Lei

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Classification Based on Brain Storm Optimization With Feature Selection by Yu Xue, Yan Zhao, Adam Slowik

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SHAP-Based Feature Selection for Enhanced Unsupervised Labeling by Mary Anne Walauskis, Taghi M. Khoshgoftaar

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Enhanced Feature Selection via Hierarchical Concept Modeling by Jarunee Saelee, Patsita Wetchapram, Apirat Wanichsombat, Arthit Intarasit, Jirapond Muangprathub, Laor Boongasame, Boonyarit Choopradit

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A Semisupervised Feature Selection with Support Vector Machine by Kun Dai, Hong-Yi Yu, Qing Li

“…Feature selection has proved to be a beneficial tool in learning problems with the main advantages of interpretation and generalization. …”
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Stability of Feature Selection in Multi-Omics Data Analysis by Tomasz Łukaszuk, Jerzy Krawczuk, Kamil Żyła, Jacek Kęsik

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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

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Adaptive Feature Selection of Unbalanced Data for Skiing Teaching by Tao Feng

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Embedded feature selection using dual-network architecture by Abderrahim Abbassi, Arved Dörpinghaus, Niklas Römgens, Tanja Grießmann, Raimund Rolfes

Subjects: “…Feature selection…”
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Causality, Machine Learning, and Feature Selection: A Survey by Asmae Lamsaf, Rui Carrilho, João C. Neves, Hugo Proença

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Improving with Hybrid Feature Selection in Software Defect Prediction by Muhammad Yoga Adha Pratama, Rudy Herteno, Mohammad Reza Faisal, Radityo Adi Nugroho, Friska Abadi

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Selected features of Philippine English pronunciation among three groups of Ilocano speakers by L. I Haloc, S. N Dita

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Selected features of Philippine English pronunciation among three groups of Ilocano speakers by L. I Haloc, S. N Dita

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CLASSIFYING ANDROID MALWARE CATEGORIES BASED ON DYNAMIC FEATURES: AN INTEGRATION OF FEATURE REDUCTION AND SELECTION TECHNIQUES by abdullah alsraratee, Ahmed Al-Azawei

“…This study utilizes machine learning techniques namely, K-Nearest Neighbor, Random Forest and Decision Tree to classify Android malware based on dynamic analysis. As feature selection and reduction techniques, Mutual Information and Principle Component Analysis are used. …”
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Interfered feature elimination coupled with feature group selection for wound infection detection by electronic nose. by Jia Liu, Jinglei Zhang, Shaoqi Zhang, Kaiwei Li, Xiang Li, Shuo Zhang, Hang Gu, Zhen Chen, Chao Liu, Nan Zhang, Tong Sun

“…For this issue, we proposed a new sensor array optimization algorithm named Interfered Feature Elimination coupled with Feature Group Selection (IFE-FGS). …”
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