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  1. 921
  2. 922

    Artificial Intelligence in Recruitment: Navigating the Era of Web 4.0 by Hamza Melliani, Imane Mouhtat, Wafa Kerfal, Ayoub Razouk

    Published 2024-06-01
    “…We received 66 responses. After removing the outliers, the final sample size was 60. Based on flat analyses, the results show a perception of job losses in the human resources and education sectors. …”
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  3. 923

    TXtreme: transformer-based extreme value prediction framework for time series forecasting by Hemant Yadav, Amit Thakkar

    Published 2025-01-01
    “…Unlike traditional datasets, time series data points are influenced by their past values, necessitating specialized techniques to model these sequential dependencies specifically addressing non-linear patterns, abrupt changes, and outliers. The latest advancements have significantly enhanced TSF using machine learning and other methods. …”
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  4. 924

    Development of Vision Based Multiview Gait Recognition System with MMUGait Database by Hu Ng, Wooi-Haw Tan, Junaidi Abdullah, Hau-Lee Tong

    Published 2014-01-01
    “…The extracted features are smoothened by Gaussian filter to eliminate the effect of outliers. The extracted features are normalized with linear scaling, which is followed by feature selection prior to the classification process. …”
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  5. 925

    Predicting the claim amount from car insurance using multiple linear regression: a case study of Iran insurance by Reza Rasinojehdehi, Soheil Azizi

    Published 2023-09-01
    “…All features, except the claim amount (the target variable), were discretized into ordinal variables to ensure accurate analysis and address any outliers or data inconsistencies. Multiple linear regression was employed to predict the target variable, enabling an investigation into the influence of each feature on estimating the claim amount. …”
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  6. 926

    Optimization of the Rapid Design System for Arts and Crafts Based on Big Data and 3D Technology by Haihan Zhou

    Published 2021-01-01
    “…Based on the characteristics of SMT production line data, the K-means algorithm is used to detect data outliers and verify the accuracy of the method; also, the Spark-based association rule printing parameter recommendation model is designed, and the efficiency of the Apriori algorithm is significantly improved by parallelization.…”
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  7. 927

    Fibrosis and inflammatory activity diagnosis of chronic hepatitis C based on extreme learning machine by Jiaxin Cai, Tingting Chen, Yang Qi, Siyu Liu, Rongshang Chen

    Published 2025-01-01
    “…To overcome the problem of class-imbalance, outliers and small sample size, we also proposed a method hybridizing k-means and ELM. …”
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  8. 928

    Spatial autocorrelation analysis of non-communicable diseases: Unveiling hidden patterns and hotspots of hypertension in the Yogyakarta Special Region by Lusiana Vivi, Arif Fahrudin Alfana Muhammad

    Published 2025-01-01
    “…Findings show a spatial clustering pattern of hypertension prevalence, both hotspots and spatial outliers which has evolved in the period 2019 to 2022. …”
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  9. 929

    Confidence-Aware Ship Classification Using Contour Features in SAR Images by Al Adil Al Hinai, Raffaella Guida

    Published 2025-01-01
    “…It is also found that the aggregation of individual entropies within an ensemble leads to a normal distribution, effectively minimizing outliers. This characteristic was utilized to model the entropy distributions, from which confidence levels were established based on Gaussian parameters. …”
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  10. 930

    Improving Patient Experience by Understanding Barriers and Incentives to Telehealth Adoption Among Physicians at a Large Academic Medical Center by Alessandro Luna MD, MBA, Taylor B Sewell MD, MBA

    Published 2025-01-01
    “…Robust investigations for outliers and rival explanations in responses were used to disconfirm findings. …”
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  11. 931

    Are Nuclear Star Clusters the Precursors of Massive Black Holes? by Nadine Neumayer, C. Jakob Walcher

    Published 2012-01-01
    “…We find the following. (1) The MBH-σ relation cannot flatten at low masses, but may steepen. (2) The MBH-Mbulge relation may well flatten in contrast. (3) The MBH-Sersic n relation is able to account for the large scatter in black hole masses in low-mass disk galaxies. Outliers in the MBH-Sersic n relation seem to be dwarf elliptical galaxies. …”
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  12. 932

    Quantitative Analysis of the Main Controlling Factors of Oil Saturation Variation by Ruijie Huang, Chenji Wei, Jian Yang, Xin Xu, Baozhu Li, Suwei Wu, Lihui Xiong

    Published 2021-01-01
    “…A data processing workflow has been implemented to replace outliers and to increase model accuracy. A total of 10 machine learning algorithms are tested and compared in the dataset. …”
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  13. 933

    Causal Relationship Between Psoriasis and Bullous Pemphigoid: A Mendelian Randomization Analysis by Xiaoxue Wang, Zexin Zhu

    Published 2025-01-01
    “…Heterogeneity, horizontal pleiotropy, and potential outliers were assessed for the MR analysis results. …”
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  14. 934

    La crise européenne. Un regard de géographe by Yann Richard

    Published 2012-04-01
    “…Tant que la problématique de l’intégration européenne ne sera pas appropriée par les citoyens européens eux-mêmes et tant que certaines politiques ne seront pas davantage coordonnées, l’Union restera sur le fil du rasoir. Cette crise met en lumière l’essoufflement d’un certain modèle d’intégration. …”
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  15. 935

    When the Novel Meets the Bible. The Flood in Four Contemporary British Novels by Ewa Rychter

    Published 2013-04-01
    “…Nous nous proposons d’examiner la question du secret à la lumière des arguments de Derrida. Cet angle d’approche nous amène (1) à caractériser la relation entre la fiction moderne et la Bible, (2) à projeter un éclairage nouveau sur la passion dans le récit du déluge, et (3) à montrer comment ces éléments détruisent le postulat de Derrida quant à la symétrie sécularisée entre les Ecritures et la littérature.…”
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  16. 936

    38 témoins de Lucas Belvaux : la schize du témoin by Jean-Louis Déotte

    Published 2014-11-01
    “…Car les auteurs de cette fantasmagorie ne peuvent décrire qu’une humanité obéissante, mineure, réduite à n’exercer que son entendement selon le Kant de « Réponse à une question : qu’est-ce que les Lumières ? ». Je fais l’hypothèse que la situation traumatique vécue par la population de ce quartier havrais ne lui permet pas d’accéder à la majorité, c’est-à-dire à la capacité de discuter sur une place publique des finalités de la raison. …”
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  17. 937

    Noye’s Fludde: Benjamin Britten’s. Interpretation of the Chester Play by Peter Happé

    Published 2011-09-01
    “…La comparaison avec les sources permet de mettre en lumière la manière dont Britten choisit de développer certains éléments dans son adaptation musicale, tout en préservant soigneusement la ligne dramatique propre au texte originel. …”
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  18. 938

    La langue des jeux et des activités sportives : Une mise en scène euphémique contre les tabous linguistiques by Moulay Youssef MAFTAH EL KHEIR

    Published 2021-12-01
    “…Ensuite, il montre que l’utilisation massive du langage ludique dans le langage ordinaire, pour contourner les interdits linguistiques, n’est pas arbitraire mais liée aux spécificités inhérentes au jeu. Finalement, à la lumière des résultats obtenus, nous montrerons que l’étude des expressions euphémiques d’origine ludique aide à mieux comprendre, voire à redéfinir, cette figure rhétorique qu’on pourrait représentait comme un jeu de voiler-dévoiler.…”
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  19. 939

    PMWFCM: A Possibility based MultiKernel Weighted Fuzzy Clustering Algorithm for classification of driving behaviors by Ning Ma, Kaijun Wu, Yubin Yuan, Jiawei Li, Xiaoqiang Wu

    Published 2025-02-01
    “…By integrating possibility-based fuzzy clustering with FCM and introducing a multi-kernel weighting mechanism, PMWFCM effectively reduces FCM’s sensitivity to outliers while resolving issues of clustering consistency in Possibilistic C-Means (PCM) algorithms, overcoming the challenges associated with kernel function selection. …”
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  20. 940

    Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM by A. Tianjian Yang, B. Xing Wang, C. Siyi Cheng, D. You Chen, E. Xi Zhang

    Published 2025-01-01
    “…On this basis, the cooperative jamming decision schemes and their corresponding cooperative jamming effectiveness values are solved at different locations in the target space, and the results are detected as outliers using box plots, thus constructing sample data for cooperative jamming effectiveness evaluation. …”
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