Feature selection for helpfulness prediction of online product reviews: An empirical study. by Jiahua Du, Jia Rong, Sandra Michalska, Hua Wang, Yanchun Zhang

“…Three scenarios for feature selection are considered: (i) individual features, (ii) features within each category, and (iii) all features. …”
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Self-Adaptive MOEA Feature Selection for Classification of Bankruptcy Prediction Data by A. Gaspar-Cunha, G. Recio, L. Costa, C. Estébanez

“…The proposed methodology makes use of self-adaptation by applying the feature selection algorithm while simultaneously optimising the parameters of the classifier used. …”
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Feature Selection for Classification Incorporating Less Meaningful Attributes in Medical Diagnostics by Agnieszka Wosiak, Danuta Zakrzewska

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Commercial Video Evaluation via Low-Level Feature Extraction and Selection by Xiangmin Lun, Mingxuan Wang, Zhenglin Yu, Yimin Hou

“…After extracting the low-level features of the videos, this paper improved the Correlation-Based Feature Selection (CFS) method which is widely used and proposed an algorithm named CFS-Spearmen which combined the Spearmen correlation coefficient and the classical CFS to select features. …”
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Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

Subjects: “…statistical-significance based feature selection…”
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An explainable feature selection framework for web phishing detection with machine learning by Sakib Shahriar Shafin

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Effective Evolutionary Multilabel Feature Selection under a Budget Constraint by Jaesung Lee, Wangduk Seo, Dae-Won Kim

“…Multilabel feature selection involves the selection of relevant features from multilabeled datasets, resulting in improved multilabel learning accuracy. …”
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Advancements in feature selection and extraction methods for text mining: a review by Lama Ayash, Abdulmohsen Algarni, Omar Alqahtani

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Improving Attack Detection in IoV with Class Balancing and Feature Selection by Thierry Widyatama, Ifan Rizqa, Fauzi Adi Rafrastara

“…This study investigates the enhancement of detection efficiency for DoS and spoofing attacks in IoV by employing Ensemble Learning methods combined with feature selection techniques. The selected feature selection methods include Information Gain Ratio, Chi-Square (X²), and Fast Correlation-Based Filter (FCBF). …”
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Fuzzy kernel feature selection with multi-objective differential evolution algorithm by Emrah Hancer

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On the Feature Selection and Classification Based on Information Gain for Document Sentiment Analysis by Asriyanti Indah Pratiwi, Adiwijaya

“…Finding the optimum feature selection and classification is still a challenge. …”
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Improved Feature-Selection Method Considering the Imbalance Problem in Text Categorization by Jieming Yang, Zhaoyang Qu, Zhiying Liu

“…The filtering feature-selection algorithm is a kind of important approach to dimensionality reduction in the field of the text categorization. …”
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A Feature-Selective Independent Component Analysis Method for Functional MRI by Yi-Ou Li, Tülay Adali, Vince D. Calhoun

“…We name the proposed method as feature-selective ICA since it incorporates the features in the sample space of the independent components during ICA estimation. …”
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An optimized ensemble model with advanced feature selection for network intrusion detection by Afaq Ahmed, Muhammad Asim, Irshad Ullah, Zainulabidin, Abdelhamied A. Ateya

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A novel feature selection technique: Detection and classification of Android malware by Sandeep Sharma, Prachi, Rita Chhikara, Kavita Khanna

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A feature-based approach for atlas selection in automatic pelvic segmentation. by Guoping Shan, Xue Bai, Yun Ge, Binbing Wang

“…In addition, we have evaluated two distinct atlas selection methods: the Feature-based Atlas Selection Approach (MAS-FASA) and the Similarity-based Atlas Selection Approach (MAS-SIM). …”
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A conditional opposition-based particle swarm optimisation for feature selection by Jingwei Too, Ali Safaa Sadiq, Seyed Mohammad Mirjalili

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Optimizing Feature Selection for IOT Intrusion Detection Using RFE and PSO by zahraa mehssen agheeb Alhamdawee

“…Four observed classifier algorithms have been applied: k-Nearest Neighbor (kNN), Support Vector Machine (SVM), Random Forest (RF), and Decision Tree (DT). Two feature selection mechanisms, which are Particle Swarm Optimization Algorithm (PSO) and Correlation-based Feature Selection Recursive Feature Elimination (RFE) have been used to compare their performances. …”
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Distinctive features of the biochemical composition sea buckthorn fruits of Altai selection by E. D. Rozhnov, M. N. Shkolnikova, O. V. Chugunova

“…The information on the distinctive features of the most common varieties in the selection of Azhurnaya, Altai, Inya, Chechek, Chuiskaya is summarized. …”
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FEATURE SELECTION AND CLASSIFICATION OF LEUKEMIC CELLS USING IOT AND MACHINE LEARNING by K. R.Vineetha, Kovvuri N. Bhargavi, G. L. Narasamba Vanguri, Jenifer Mahilraj, V. Kannan

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