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  1. 21

    Pattern-Based Feature Extraction for Improved Deep Learning in Financial Time Series Classification by Seyed Ali Hosseini, Francesco Grimaccia, Alessandro Niccolai, Silvia Trimarchi

    Published 2025-01-01
    “…This research addresses the critical gap in effectively identifying and leveraging these patterns to improve predictive accuracy. By collecting tick-by-tick data from the European Carbon Emission Allowance market and resampling it to a 15-minute timeframe, we developed a method to detect pivotal price patterns and extract relevant features. …”
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  2. 22

    Feature Set to sEMG Classification Obtained With Fisher Score by Diana C. Toledo-Perez, Marcos Aviles, Roberto A. Gomez-Loenzo, Juvenal Rodriguez-Resendiz

    Published 2024-01-01
    “…The central purpose of this research is to develop and validate a methodology that uses the Fisher Score to select a set of features in the classification of sEMG signals. …”
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    Microscopic features of lignin deposition patterns in young apple roots using brightfield and fluorescence imaging by Yanmin Zhu, Jordan Rainbow, Zhe Zhou

    Published 2024-01-01
    “…The genotype-specific lignin deposition patterns, particularly around vascular bundles, may suggest intrinsic differences in lignin richness and/or monolignol composition between genotypes. …”
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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

    Published 2025-01-01
    “…First, to learn relationships between items, a graph whose distance is measured by Normalised Point-Wise Mutual Information (NPMI) is applied to link items for the co-occurrence pattern. 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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  7. 27

    Features of formation of industrial cluster policy in developing countries of Asia by Kuchumov Artur, Eremicheva Polina

    Published 2025-04-01
    “…The article considers the features of development, formation and application of cluster policy of the industrial complex within the borders of developing Asian countries. …”
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    Specific features of cognitive skill development in athletes of situational sports by Vyacheslav Romanenko, Yrui Tropin, Leonid Podrigalo, Natalya Boychenko, Anatoly Abdula, Nataliia Sereda, Yaroslav Yatsiv

    Published 2025-06-01
    “…Situational sports, including team sports and martial arts, require athletes to demonstrate a high level of executive functions. The development of these functions follows specific patterns influenced by the nature of sports activity. …”
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  11. 31

    GENDER AND SEASONAL FEATURES OF DEVELOPMENT PROCESS OF PHLEGMON OF MAXILLOFACIAL AREA by K. Vakulenko

    Published 2018-03-01
    “…Noted that the abscesses and cellulitis observed in persons aged 20-30 years, which is associated with the greatest intensity of caries and difficult eruption of the lower wisdom tooth. The development and course of acute purulent inflammatory diseases of different areas of the head and neck depend on the concentration of the microflora, general, local non-specific and specific protective factors, the status of various organs and systems, as well as anatomical and topographical features of tissues. …”
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    Feature Extraction using Histogram of Oriented Gradients and Moments with Random Forest Classification for Batik Pattern Detection by Wafiq Azizah, Soffiana Agustin

    Published 2025-01-01
    “…Consequently, the development of technology-based solutions capable of documenting, analyzing, and recognizing batik patterns with efficiency and precision is imperative for safeguarding this cultural heritage. …”
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  15. 35

    Cellular Automaton Simulation of Tumour Growth – Equivocal Relationships between Simulation Parameters and Morphologic Pattern Features by Josef Smolle

    Published 1998-01-01
    “…Objective: To develop an interpretation procedure which estimates simulation parameters (tumour cell motility, tumour cell adhesion, autocrine and paracrine growth control, stroma destruction) of simulated patterns solely based on morphometric features of the morphologic pattern.…”
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    BIDpred: unraveling B cell Immunodominance hierarchical pattern using statistical feature discovery and deep learning prediction by Sungjin Choi, Dongsup Kim

    Published 2025-08-01
    “…Based on these findings, we developed BIDpred, a B cell ImmunoDominance predictor, that learns newly discovered features by leveraging protein language model embeddings and graph attention network to predict the immunodominance scores. …”
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