Browsing by Author "Sun R"

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    Parameter-Free Extreme Learning Machine for Imbalanced Classification Authors Li, L - China Agric
    (Springer Science+Business Media, LLC, 2020-12) Li L; Zhao K; Sun R; Gan J; Yuan G; Liu T
    Imbalanced data distribution is a common problem in classification situations, that is the number of samples in different categories varies greatly, thus increasing the classification difficulty. Although many methods have been used for the imbalanced data classification, there are still problems with low classification accuracy in minority class and adding additional parameter settings. In order to increase minority classification accuracy in imbalanced problem, this paper proposes a parameter-free weighting learning mechanism based on extreme learning machine and sample loss values to balance the number of samples in each training step. The proposed method mainly includes two aspects: the sample weight learning process based on the sample losses; the sample selection process and weight update process according to the constraint function and iterations. Experimental results on twelve datasets from the KEEL repository show that the proposed method could achieve more balanced and accurate results than other compared methods in this work.
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    The International Work Addiction Scale (IWAS): A screening tool for clinical and organizational applications validated in 85 cultures from six continents
    (Akadémiai Kiadó, 2025-02-25) Charzyńska E; Buźniak A; Czerwiński SK; Woropay-Hordziejewicz N; Schneider Z; Aavik T; Adamowic M; Adams BG; Al-Mahjoob SM; Almoshawah SAS; Arrowsmith J; Asatsa S; Austin S; Aziz S; Bakker AB; Balducci C; Barros E; Bălțătescu S; Bdier D; Bhatia N; Bilic S; Boer D; Caspi A; Chaleeraktrakoon T; Chan CIM; Chien C-J; Choi H-S; Choubisa R; Clark M; Čekrlija Đ; Demetrovics Z; Dervishi E; de Zoysa P; Domínguez Espinosa ADC; Dragova-Koleva S; Efstathiou V; Fernandez ME; Fernet C; Gadelrab HF; Gamsakhurdia V; Garðarsdóttir RB; Garrido LE; Gillet N; Gonçalves SP; Griffiths MD; Hakobyan NR; Halim FW; Hansenne M; Hasan BB; Herttalampi M; Hlatywayo CK; Hromatko I; Igou ER; Iliško D; Isayeva U; Ismail HN; Jensen DH; Kakupa P; Kamble S; Kerriche A; Kubicek B; Kugbey N; Kun B; Lee JH; Lisá E; Lisun Y; Lupano Perugini ML; Marcatto F; Maslovarić B; Massoudi K; McFarlane TA; Mgaiwa SJ; Moosavi Jahanabad ST; Moreta-Herrera R; Nguyen HTM; Ohtsubo Y; Özsoy T; Øvergård KI; Pallesen S; Parker J; Plohl N; Pontes HM; Potter R; Roe A; Samekin A; Schulmeyer MK; Seisembekov TZ; Serrano-Fernández MJ; Shahrour G; Sladojević Matić J; Sobhie R; Spagnoli P; Story J; Sullman MJM; Sultanova L; Sun R; Suryani AO; Sussman S; Teng-Calleja M; Torales J; Vera Cruz G; Wu AMS; Yang X; Zabrodska K; Ziedelis A; Atroszko PA
    BACKGROUND AND AIMS: Despite the last decade's significant development in the scientific study of work addiction/workaholism, this area of research is still facing a fundamental challenge, namely the need for a valid and reliable measurement tool that shows cross-cultural invariance and, as such, allows for worldwide studies on this phenomenon. METHODS: An initial 16-item questionnaire, developed within an addiction framework, was administered alongside job stress, job satisfaction, and self-esteem measures in a total sample of 31,352 employees from six continents and 85 cultures (63.5% females, mean age of 39.24 years). RESULTS: Based on theoretical premises and psychometric testing, the International Work Addiction Scale (IWAS) was developed as a short measure representing essential features of work addiction. The seven-item version (IWAS-7), covering all seven components of work addiction, showed partial scalar invariance across 81 cultures, while the five-item version (IWAS-5) showed it across all 85 cultures. Higher levels of work addiction on both versions were associated with higher job stress, lower job satisfaction, and lower self-esteem across cultures. The optimal cut-offs for the IWAS-7 (24 points) and IWAS-5 (18 points) were established with an overall accuracy of 96% for both versions. DISCUSSION AND CONCLUSIONS: The IWAS is a valid, reliable, and short screening scale that can be used in different cultures and languages, providing comparative and generalizable results. The scale can be used globally in clinical and organizational settings, with the IWAS-5 being recommended for most practical and clinical situations. This is the first study to provide data supporting the hypothesis that work addiction is a universal phenomenon worldwide.