Determining cut-off values and predictors for the Snaith–Hamilton Pleasure Scale: comparison between clinical and school settings by Yen-Chung Ho, Susan Shur-Fen Gau, Ying-Sian Wu, Chun-Hsin Chen, Jiunn-Kae Wang, Hsin-Chien Lee, Kuo-Hsuan Chung, Yi-Hang Chiu, Kah Kheng Goh, Mong-Liang Lu, Yu-Chun Lin, Pi-Chen Chang, Hsiu-Ju Chang

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Psychometric properties the of Brazilian Portuguese version of Snaith-Hamilton Pleasure Scale (SHAPS) by Ana Paula Jesus-Nunes, João Paulo Barreto Borges Coroa, Felipe Coelho Argolo, Tayne de Miranda Moreira, Mychelle Morais-de-Jesus, Roberta Ferrari Marback, Fernanda S. Correia-Melo, Acioly L. T. Lacerda, Lucas C. Quarantini

Subjects: “…SHAPS…”
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Clinical utility of the Snaith-Hamilton-Pleasure scale in the Chinese settings by Liu Wen-hua, Wang Ling-zhi, Zhu Yu-hua, Li Min-hui, Chan Raymond CK

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Validation of the Chinese Dimensional Anhedonia Rating Scale in Depressed Patients in Hong Kong by Edgar Wing-ka Ching, Tin Po Chiang, Jessica O. Y. Wong, Bonnie W. M. Siu, Koi Man Cheng, Simon S. Y. Lui, Eric F. C. Cheung

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Development of a Prediction Method of Cell Density in Autotrophic/Heterotrophic Microorganism Mixtures by Machine Learning Using Absorbance Spectrum Data by Akihito Nakanishi, Hiroaki Fukunishi, Riri Matsumoto, Fumihito Eguchi

Subjects: “…Shapley additive explanations (SHAPs)…”
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Development and Evaluation of Transformer-Based Basic Fighter Maneuver Decision-Support Scheme for Piloting During Within-Visual-Range Air Combat by Yiqun Dong, Shanshan He, Yunmei Zhao, Jianliang Ai, Can Wang

Subjects: “…Shapley Additive Explanations (SHAPs)…”
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C-SHAP: A Hybrid Method for Fast and Efficient Interpretability by Golshid Ranjbaran, Diego Reforgiato Recupero, Chanchal K. Roy, Kevin A. Schneider

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Contextual Background Estimation for Explainable AI in Temperature Prediction by Bartosz Szostak, Rafal Doroz, Magdalena Marker

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Identification of subgroups and development of prognostic risk models along the glycolysis–cholesterol synthesis axis in lung adenocarcinoma by Jiuzhou Jiang, Bao Qian, Yangjie Guo, Zhengfu He

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Forecasting the Mass Activity of Platinum Anode Catalysts on Various Carbon Nanostructures in Direct Methanol Fuel Cells Using Machine Learning by Ganesan Raman

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Explainable neural networks for trait‐based multispecies distribution modelling—A case study with butterflies and moths by Yoann Bourhis, James R. Bell, Chris R. Shortall, William E. Kunin, Alice E. Milne

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Helping CNAs Generate CVSS Scores Faster and More Confidently Using XAI by Elyes Manai, Mohamed Mejri, Jaouhar Fattahi

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An ML-based decision support system for reliable diagnosis of ovarian cancer by leveraging explainable AI by Asif Newaz, Abdullah Taharat, Md Sakibul Islam, Khairum Islam, A.G.M. Fuad Hasan Akanda

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Research on Provincial-Level Soil Moisture Prediction Based on Extreme Gradient Boosting Model by Yifang Ren, Fenghua Ling, Yong Wang

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Interpretable machine learning approach to predict Hepatitis C virus NS5B inhibitor activity using voting-based LightGBM and SHAP by Teuku Rizky Noviandy, Aga Maulana, Irvanizam Irvanizam, Ghazi Mauer Idroes, Nur Balqis Maulydia, Trina Ekawati Tallei, Muhammad Subianto, Rinaldi Idroes

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Distribution dynamics and urbanization-related factors of Hantaan and Seoul virus infections in China between 2001 and 2020: A machine learning modelling analysis by Yao Tian, Tao Wang, Jin-Jin Chen, Qiang Xu, Guo-Lin Wang, Bao-Gui Jiang, Li-Ping Wang, Chen-Long Lv, Tao Jiang, Li-Qun Fang

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Developing an efficient explainable artificial intelligence approach for accurate reverse osmosis desalination plant performance prediction: application of SHAP analysis by Meysam Alizamir, Mo Wang, Rana Muhammad Adnan Ikram, Sungwon Kim, Kaywan Othman Ahmed, Salim Heddam

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Shielding Social Media: BERT and SVM Unite for Cyberbullying Detection and Classification by Parth Aggarwal, Rhea Mahajan

Subjects: “…cyberb ully;bert; svm; shap; xai…”
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Detection of Monkeypox Cases Based on Symptoms Using XGBoost and Shapley Additive Explanations Methods by Alireza Farzipour, Roya Elmi, Hamid Nasiri

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Modelling Coal Dust Explosibility of Khyber Pakhtunkhwa Coal Using Random Forest Algorithm by Amad Ullah Khan, Saad Salman, Khan Muhammad, Mudassar Habib

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