FEATURE SELECTION COMPARATIVE PERFORMANCE FOR UNSUPERVISED LEARNING ON CATEGORICAL DATASET by Rachmad Fitriyanto, Mohamad Ardi

“…Given that an insufficient number of features can impede the extraction of meaningful patterns, we evaluate two techniques—Chi-Square and Mutual Information—to refine a dataset derived from questionnaires on college library visitor characteristics. …”
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Integrated Feature-Temporal GAN for Imbalanced Transaction Fraud Detection by Yicen Zheng, Yu Xie, Jiamin Yao

“…In this work, we introduce the Integrated Feature-Temporal-aware Generative Adversarial Network (IFT-GAN), a novel framework that simultaneously refines feature space and models temporal dynamics during the generation of synthetic samples. …”
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Leveraging multi-modal feature learning for predictions of antibody viscosity by Krishna D. B. Anapindi, Kai Liu, Willie Wang, Yao Yu, Yan He, Edward J. Hsieh, Ying Huang, Daniela Tomazela

“…Here, we report the application of a multimodal feature learning workflow for predicting the viscosity of antibodies in therapeutics discovery. …”
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Three-dimensional Patterning Super-Black Silica-Based Nanocomposite Aerogels by Zhiyang Zhao, Romain Civioc, Wei Liu, Peiying Hu, Mengmeng Li, Fuhao Xu, Robin Pauer, Jiabei Luo, Samuel Brunner, Paweł P. Ziemiański, Ilia Sadykov, Sandra Galmarini, Yong Kong, Xiaodong Shen, Wim J. Malfait, Shanyu Zhao

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Feature pyramid attention network for audio‐visual scene classification by Liguang Zhou, Yuhongze Zhou, Xiaonan Qi, Junjie Hu, Tin Lun Lam, Yangsheng Xu

“…The authors’ approach builds multi‐scale hierarchical features of sound spectrograms and visual images using a feature pyramid representation and localises the semantically relevant regions with a feature pyramid attention module (FPAM). …”
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Instance Assignment Coverage Feature for Operation Control of SAT Solver by Zhihui Li, Shuwei Chen, Guanfeng Wu, Yang Xu

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Morphometrics and Growth Patterns of Squids in the North and South Coasts of Java, Indonesia by Ayu Ervinia, Charles P H Simanjuntak, Sulistiono Sulistiono, Dwi Yuni Wulandari, Zairion Zairion

“…There were significant differences observed in ten morphometric variables among the three species of squid (p < 0.05), with fin width, fin length, and sucker ring teeth identified as the key distinguishing feature for the squids. Spearman's correlation indicated stronger associations between mantle and fin variables (Ï = 0.666-0.967, p < 0.05) than those between mantle and head variables (Ï = 0.380-0.864, p < 0.05).Mantle length-weight relationships revealed a hypoallometric growth pattern for U. chinensis and U. duvaucelii, while S. oualaniensis exhibited an isometric growth pattern. …”
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Sensitivity Study of Feature Vectors Formed on the Basis of Multiple Scale Transformations of Processed Images by D. V. Vasilieva

“…A concept of image construction for the purposes of feature vector formation was developed.Conclusion. …”
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Fundus autofluorescence features specific for EYS-associated retinitis pigmentosa. by Taro Kominami, Tien-En Tan, Hiroaki Ushida, Kanika Jain, Kensuke Goto, Yasmin M Bylstra, Ai Fujita Sajiki, Ranjana S Mathur, Junya Ota, Weng Khong Lim, Koji M Nishiguchi, Beau J Fenner

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Angle Modulated Artificial Bee Colony Algorithms for Feature Selection by Gürcan Yavuz, Doğan Aydin

“…Optimal feature subset selection is an important and a difficult task for pattern classification, data mining, and machine intelligence applications. …”
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Selective Feature Fusion Based Adaptive Image Segmentation Algorithm by Qianwen Li, Zhihua Wei, Wen Shen

“…In this paper, we firstly propose a selective feature fusion algorithm to choose the best feature set by evaluating the results of presegmentation. …”
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Ensemble Classifiers and Feature-Based Methods for Structural Damage Assessment by Hossein Babajanian Bisheh, Gholamreza Ghodrati Amiri, Ehsan Darvishan

“…In this paper, a new structural damage detection framework is proposed based on vibration analysis and pattern recognition, which consists of two stages: (1) signal processing and feature extraction and (2) damage detection by combining the classification result. …”
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Action recognition using part and attention enhanced feature fusion by Danfeng Zhuang, Min Jiang, Lei Wang, Mohamed Sanim Akremi, Hedi Tabia

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Comparison of Various Feature Extractors and Classifiers in Wood Defect Detection by Kenan Kiliç, Kazım Kiliç, İbrahim Alper Doğru, Uğur Özcan

“…The results obtained are presented comparatively in terms of each feature and classifier. The findings show that the most effective features in detecting defective wood are extracted by the Local Binary Pattern (LBP) method and the most effective classifier is the Random Forest Algorithm. …”
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CT imaging features and diagnostic algorithm for hepatic cystic echinococcosis by Hao Zhang, Li Zhang, Chi Zhang, Yan-hao Zhu, Yi-en Hong, Lin Li, Li Lai

“…This retrospective study included 48 pathologically confirmed cases of hepatic CE from two medical centers. CT imaging features were analyzed by two experienced radiologists, evaluating lesion characteristics including location, morphology, wall features, and calcification patterns. …”
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Unsteady Flow Patterns between Two Egg-Carton Corrugated Plates by Benjamin GIRÓN-PALOMARES, Abel HERNÁNDEZ-GUERRERO, Ricardo ROMERO-MÉNDEZ, Qiang HE

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The Integration Patterns in East Asia: A Test by the European Union Experience by Andrey Anatolyevich Baykov

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Prioritizing perturbation-responsive gene patterns using interpretable deep learning by Yan Cui, Zhiyuan Yuan

“…We introduce DSEP gene prioritization as a new analytical task and present River, an interpretable deep learning framework that identifies genes exhibiting condition-relevant spatial changes. River features a two-branch predictive architecture and a post hoc attribution strategy to rank genes (or other features) by their contribution to condition differences. …”
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Mapping patterns of thought onto brain activity during movie-watching by Raven Star Wallace, Bronte Mckeown, Ian Goodall-Halliwell, Louis Chitiz, Philippe Forest, Theodoros Karapanagiotidis, Bridget Mulholland, Adam Turnbull, Tamara Vanderwal, Samyogita Hardikar, Tirso RJ Gonzalez Alam, Boris C Bernhardt, Hao-Ting Wang, Will Strawson, Michael Milham, Ting Xu, Daniel S Margulies, Giulia L Poerio, Elizabeth Jefferies, Jeremy I Skipper, Jeffrey D Wammes, Robert Leech, Jonathan Smallwood

“…We found moments when experience sampling highlighted engagement with multi-sensory features of the film or highlighted thoughts with episodic features, regions of sensory cortex were more active and subsequent memory for events in the movie was better—on the other hand, periods of intrusive distraction emerged when activity in regions of association cortex within the frontoparietal system was reduced. …”
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Patterns of multimorbidity in older adults with multiple myeloma: An analysis of SEER-Medicare. by Atinuke G Oyinbo, Mayra Tisminetzky, Jonggyu Baek, Maira A Castaneda-Avila, Clark DuMontier, Muthalagu Ramanathan, Kate L Lapane, Mara M Epstein

“…Three patient groups with distinct patterns of multimorbidity were identified: minimal multimorbidity featuring minor burden of comorbid conditions (54.3%), psychiatric and musculoskeletal multimorbidity (21.5%), and a high multimorbidity group featuring cardiometabolic and multiple system disorders (20.7%). …”
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