A feature selection method with feature ranking using genetic programming by Guopeng Liu, Jianbin Ma, Tongle Hu, Xiaoying Gao

“…However, feature selection methods using EC cannot get rid of invalid features effectively. …”
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Modern Strategies for Using Selective Laser Trabeculoplasty in Treatment of Glaucoma. Review by O. A. Shmeleva-Kenoufi, M. A. Melnik, V. R. Mamikonyan, A. I. Mukha

“…This review analyzes the data on the effectiveness of the use effectiveness of the use of laser methods for the treatment of patients with glaucoma, namely selective laser trabeculoplasty. …”
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Identification of an additive interaction using parameter regularization and model selection in epidemiology by Chanchan Hu, Zhifeng Lin, Zhijian Hu, Shaowei Lin

“…We present two pathways to achieve this end: one is to complete the constraint by adding a regular penalty term to the model likelihood function; the other is to use model selection. Result Using simulated and real data, our proposed methods effectively identified additive interactions and proved to be applicable to real-world data. …”
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Predicting molecular mechanisms of hereditary diseases by using their tissue‐selective manifestation by Eyal Simonovsky, Moran Sharon, Maya Ziv, Omry Mauer, Idan Hekselman, Juman Jubran, Ekaterina Vinogradov, Chanan M Argov, Omer Basha, Lior Kerber, Yuval Yogev, Ayellet V Segrè, Hae Kyung Im, GTEx Consortium, Ohad Birk, Lior Rokach, Esti Yeger‐Lotem

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Feature Selection for Naive Bayesian Network Ensemble using Evolutionary Algorithms by Adam Zagorecki

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Selection of Unmanned Aerial Vehicles by Using Multicriteria Decision-Making for Defence by Mustafa Hamurcu, Tamer Eren

“…Result of the study shows that UAV-1 was selected as the most suitable vehicle. In results, it is seen that the weights of the evaluation criteria found by using AHP affect the decision-making process. …”
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Robust Portfolio Selection Under Model Ambiguity Using Deep Learning by Sadegh Miri, Erfan Salavati, Mostafa Shamsi

“…Through our method, we consider both simulated data, using the Exponential Ornstein–Uhlenbeck process, and real-world stock price data. …”
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Bitcoin price direction prediction using on-chain data and feature selection by Ritwik Dubey, David Enke

“…For this work, research is conducted using the relatively nascent technique of on-chain data analysis. …”
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Fraud Detection on Crowdfunding Platforms Using Multiple Feature Selection Methods by Seunghun Lee, Heemin Park, Hyun-Chul Kim

“…In order to identify and comprehend the distinguishing characteristics of fraudulent campaigns, we first propose 1) using a wide variety of characteristics of campaign projects and project creators, including their profiles, behavior, social traits, and language; then, 2) we propose to use and combine three well-known multiple feature selection methods, which are based on Correlation-based Feature Selection (CFS), Pearson Correlation Coefficient (PCC), and Information Gain (IG), to identify representative features of fraudulent campaigns. …”
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An ERP Selection Framework in Constructor Companies using Fuzzy AHP Approach by mohammad ali Shahhosseini, Rouhani Rouhani, Rouhi Rouhi

“…Eventually, the Fuzzy Analytic Hierarchical Process was used to select a system which is more aligned with the organization’s requirements and strategies…”
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Isotope-Selective Gas Sensing Using Photoacoustic Non-Dispersive Spectroscopy by Gabriel Rodriguez Gutierrez, Loay Marouani, Alvaro Ortiz Perez, Peter Kreuzaler, Stefan Palzer

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Automated Input Variable Selection for Analog Methods Using Genetic Algorithms by P. Horton, O. Martius, S. L. Grimm

“…In a broader context, GAs could be used to perform input variable selection in other data‐driven methods, opening perspectives for a broad range of applications.…”
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A problem-agnostic approach to feature selection and analysis using SHAP by John T. Hancock, Taghi M. Khoshgoftaar, Qianxin Liang

“…Thus, one may use the SHAP feature importance ranking in a feature selection technique by selecting the k highest ranking features. …”
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Adaptive access-point and channel selection method using Markov approximation by Tomotaka Kimura, Kouji Hirata, Masahiro Muraguchi

“…This article introduces a joint optimization problem of access-point and channel selection for such an environment. The proposed method deals with the optimization problem, using Markov approximation which adapts to dynamic changes in network conditions. …”
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Research of Sustainable Supplier Selection Problem Using Fuzzy Inference Systems by Turgut Hacıvelioğulları, Nurullah Umarusman

“…In sustainable supply chain management, possible problems can be overcome by creating a balance between economic, environmental, and social dimensions through supplier selection. Using the Mamdani-type Fuzzy Inference Systems, a new model in the on-board equipment sector has been proposed to solve the sustainable supplier selection problem of a company. …”
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Document features selection using background knowledge and word clustering technique by Hajar Farahmand, Ali Harounabadi, S. Javad Mirabedini

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UAV selection for high-speed train communication using OTFS modulation by Ehab Mahmoud Mohamed, Sherief Hashima

“…However, autonomously selecting the optimal UAV by the HST is challenging. …”
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A Model for ITSM Software Selection using Fuzzy TOPSIS Approach by Saeed Rouhani, Mohammad Ali Shahhosseini, Ahad Zare Ravasan, Elham Rahmanianfar

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Projects Selection In Knapsack Problem By Using Artificial Bee Colony Algorithm by Armaneesa Naaman Hasoon

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Feature Selection Using Pearson Correlation for Ultra-Wideband Ranging Classification by Gita Indah Hapsari, Rendy Munadi, Bayu Erfianto, Indrarini Dyah Irawati

“…The selected features are used to train multiple machine-learning classifiers, including Random Forest, Ridge Classifier, Gradient Boosting, K-Nearest Neighbor, and Logistic Regression. …”
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