An Enhanced Sine Cosine Algorithm for Feature Selection in Network Intrusion Detection by zahra asgari varzaneh, soodeh hosseini

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MOFSRank: A Multiobjective Evolutionary Algorithm for Feature Selection in Learning to Rank by Fan Cheng, Wei Guo, Xingyi Zhang

“…To this end, in this paper, a multiobjective evolutionary algorithm, termed MOFSRank, is proposed for feature selection in learning to rank which consists of three components. …”
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A Novel Robust Fuzzy Rough Set Model for Feature Selection by Yuwen Li, Shoushui Wei, Xing Liu, Zhimin Zhang

“…The proposed model has a good applicability for data processing and can effectively improve the performance of feature selection.…”
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Feature selection enhances peptide binding predictions for TCR-specific interactions by Hamid Teimouri, Hamid Teimouri, Zahra S. Ghoreyshi, Zahra S. Ghoreyshi, Anatoly B. Kolomeisky, Anatoly B. Kolomeisky, Anatoly B. Kolomeisky, Jason T. George, Jason T. George, Jason T. George, Jason T. George

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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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An Ant Colony Optimization Based Feature Selection for Web Page Classification by Esra Saraç, Selma Ayşe Özel

“…We also showed that the proposed ACO based algorithm can select better features with respect to the well-known information gain and chi square feature selection methods.…”
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Human Activity Recognition Based on the Hierarchical Feature Selection and Classification Framework by Yuhuang Zheng

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Improving Diabetes Prediction by Selecting Optimal K and Distance Measures in KNN Classifier by Emad Majeed Hameed, Hardik Joshi

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Relevant SMS Spam Feature Selection Using Wrapper Approach and XGBoost Algorithm by Diyari Jalal Mussa, Noor Ghazi M. Jameel

Subjects: “…SMS spam, wrapper methods, sequential feature selection, sequential forward selection, sequential backward selection, boosting classifier, extreme gradient boosting, XGBoost.…”
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Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction by Sandeep Gupta, Angelina Geetha, K. Sakthidasan Sankaran, Abu Sarwar Zamani, Mahyudin Ritonga, Roop Raj, Samrat Ray, Hussien Sobahi Mohammed

“…Crop information is collected in an experiment’s data set. Then, feature selection is performed using the Relief algorithm. …”
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Comparison of Feature Selection and Feature Extraction Role in Dimensionality Reduction of Big Data by Haidar Khalid Malik, Nashaat Jasim Al-Anber, Fuad AbdoEsmail Al- Mekhlafi

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Enhancing rice seed purity recognition accuracy based on optimal feature selection by Thi-Thu-Hong Phan, Le Huu Bao Nguyen

Subjects: “…Feature selection…”
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Feature selection in single-cell RNA sequencing data: a comprehensive evaluation by Petros Paplomatas, Konstantinos Lazaros, Georgios N. Dimitrakopoulos, Aristidis Vrahatis

“…We developed the GenesRanking package, which offers 20 techniques for dimensionality reduction, including filter-based and embedding machine learning–based methods. By integrating feature selection methods from both statistics and machine learning, we provide a robust framework for improving data interpretation. …”
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Advanced Feature Selection for Simplified Pattern Recognition within the Damage Identification Framework by G. Manson, R.J. Barthorpe

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Quantum-Based Feature Selection for Multiclassification Problem in Complex Systems with Edge Computing by Wenjie Liu, Junxiu Chen, Yuxiang Wang, Peipei Gao, Zhibin Lei, Xu Ma

“…The complex systems with edge computing require a huge amount of multifeature data to extract appropriate insights for their decision making, so it is important to find a feasible feature selection method to improve the computational efficiency and save the resource consumption. …”
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An Approach for Detecting Parkinson’s Disease by Integrating Optimal Feature Selection Strategies with Dense Multiscale Sample Entropy by Minh Tai Pham Nguyen, Minh Khue Phan Tran, Tadashi Nakano, Thi Hong Tran, Quoc Duy Nam Nguyen

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Robust machine learning based Intrusion detection system using simple statistical techniques in feature selection by Sunil Kaushik, Akashdeep Bhardwaj, Ahmad Almogren, Salil bharany, Ayman Altameem, Ateeq Ur Rehman, Seada Hussen, Habib Hamam

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G3DC: A Gene-Graph-Guided Selective Deep Clustering Method for Single Cell RNA-seq Data by Shuqing He, Jicong Fan, Tianwei Yu

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Integrated Feature Selection of ARIMA with Computational Intelligence Approaches for Food Crop Price Prediction by Yuehjen E. Shao, Jun-Ting Dai

“…Recent integrated forecasting models have developed various feature selection methods (FSMs) to capture fewer, but more important, explanatory variables. …”
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Tool wear prediction based on XGBoost feature selection combined with PSO-BP network by Zhangwen Lin, Yankun Fan, Jinling Tan, Zhen Li, Peng Yang, Hua Wang, Weiwei Duan

“…Abstract To address the challenge of accurately capturing tool wear states in small sample scenarios, this paper proposes a tool wear prediction method that combines XGBoost feature selection with a PSO-BP network. In order to solve the problem of input feature selection and parameter selection in BP neural network, a double-layer programming model of input feature and parameter selection is established, which is solved by XGBoost and PSO. …”
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