Attribute Relevance Score: A Novel Measure for Identifying Attribute Importance by Pablo Neirz, Hector Allende, Carolina Saavedra

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Development Traps and Development Policy Interventions. by FINTA István

“…The study aims to provide a convincing illustration, using concrete examples, of the development policy approach - and its main features - that can help to overcome the various pitfalls. …”
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CONCEPTUAL FEATURES OF OCCLUSAL BALANCE IN THE DEVELOPMENT AND PATHOLOGY OF LOCALIZED AND GENERALIZED DISEASES OF PARODONTAL TISSUES IN PATIENTS WITH PARTIAL TOOTH LOSS DURING ORTHOPEDIC REHABILITATION BOTH ON THE NATURAL TEETH AND THOSE ON DENTAL IMPLANT by Yu.O. Kinash, L.V. Kinash

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Development of a nomogram-based model incorporating radiomic features from follow-up longitudinal lung CT images to distinguish invasive adenocarcinoma from benign lesions: a retrospective study by Zhengming Wang, Fei Wang, Yan Yang, Weijie Fan, Li Wen, Dong Zhang

“…Differences in radiomic features between T1 and T0 were defined as delta-radiomic features. …”
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ECONOMIC GLOBALIZATION AS A CHARACTERISTIC FEATURE OF THE XXI CENTURY by Zarema Daudova, Vitaly Lang

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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

“…The feature selection techniques used are Filter and Wrapper. …”
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Recent Advances in Fluid Mechanics: Feature Papers, 2024 by Giuliano De Stefano, D. Andrew S. Rees

“…The present Special Issue consists of a collection of feature articles by distinct investigators and research groups discussing new findings or cutting-edge developments concerning different aspects of fluid mechanics [...]…”
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Macrocytic Anemia: A Presenting Feature of VEXAS Syndrome by Indira Acharya, Bernadette C. Siaton, Christopher J. Haas

“…In this report, we present a patient who was initially evaluated for macrocytic anemia but subsequently developed additional clinical features, leading to the diagnosis of VEXAS syndrome based on genetic analysis.…”
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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

“…On this basis, methods of quantitative estimation of compactness of patterns, construction of decision rules, and feature selection are developed. All these techniques are implemented in the FRiS-GRAD algorithm. …”
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Caving Depth Classification by Feature Extraction in Cuttings Images by Laura Viviana Galvis, Reinel Corzo Rueda, Henry Arguello

“…Two different depth classifiers are developed; the first separates the textural features by using a soft decision based on the Euclidean distance, and the second performs a hard decision classification by applying a thresholding procedure. …”
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A Semisupervised Feature Selection with Support Vector Machine by Kun Dai, Hong-Yi Yu, Qing Li

“…In order to solve SENFS, an efficient algorithm based on the alternating direction method of multipliers is then developed. One advantage of SENFS is that it encourages highly correlated features to be selected or removed together. …”
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A Feature Set for Cytometry on Digitized Microscopic Images by Karsten Rodenacker, Ewert Bengtsson

“…In this paper a systematic approach to feature extraction is presented. The feature sets that have been developed and used for quantitative cytology at the Laboratory for Biomedical Image Analysis of the GSF as well as at the Center for Image Analysis in Uppsala over the last 25 years are described and illustrated. …”
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A sparse tensor generator with efficient feature extraction by Tugba Torun, Ameer Taweel, Didem Unat

“…Additionally, we propose efficient methods for extracting a comprehensive set of sparse tensor features. The effectiveness of our generator is validated through the quality of extracted features and the performance of decomposition on the generated tensors. …”
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Graph-Based Feature Crossing to Enhance Recommender Systems by Congyu Cai, Hong Chen, Yunxuan Liu, Daoquan Chen, Xiuze Zhou, Yuanguo Lin

“…Then, to learn as many useful features as possible for higher recommendation quality, a Convolutional Neural Network (CNN) and the Transformer model are used to parallelly learn local and global feature interactions. …”
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Unified Detection and Feature Extraction of Ships in Satellite Images by Kristian Aalling Sørensen, Peder Heiselberg, Henning Heiselberg

“…This study addresses this gap by developing a unified model for ship detection and characterisation from Synthetic Aperture Radar images, estimating features such as true length, true breadth, and heading. …”
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Self-supervised feature learning for acoustic data analysis by Ahmet Pala, Anna Oleynik, Ketil Malde, Nils Olav Handegard

“…The primary objective of this study is to develop an annotation-free deep learning model that extracts acoustic features and improves the representation of acoustic data. …”
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Managing Feature Compatibility in Kubernetes: Vendor Comparison and Analysis by Eddy Truyen, Nane Kratzke, Dimitri Van Landuyt, Bert Lagaisse, Wouter Joosen

“…Our findings are threefold: First, incompatibilities arise between default cluster configurations of the studied vendors for approximately 18% of documented features. Second, matching end-to-end tests exist only for around 64% of features and for 17% of features these matching tests are not well developed for all vendors. …”
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Feature-based enhanced boosting algorithm for depression detection by Muhammad Sadiq Rohei, Kasturi Dewi Varathan, Shivakumara Palaiahnakote, Nor Badrul Anuar

“…Thus, this study has developed a novel feature-based enhanced boosting algorithm (F-EBA). …”
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Effects of feature selection and normalization on network intrusion detection by Mubarak Albarka Umar, Zhanfang Chen, Khaled Shuaib, Yan Liu

“…Many researchers used data preprocessing techniques such as feature selection and normalization to overcome such issues. …”
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Clinical features and serum profile of inflammatory biomarkers in patients with brucellosis by Jingbo Liu, Xiaotao Zhao

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