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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Transforming desertification patterns in Asia: Evaluating trends, drivers, and climate change impacts from 1990 to 2022 by Hongchao Qi, Xin Gao, Jiaqiang Lei, Xiaoyu Meng, Zihao Hu

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FloodGenome: interpretable machine learning for decoding features shaping property flood risk predisposition in cities by Chenyue Liu, Ali Mostafavi

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The Nonlinear and Threshold Effect of Built Environment on Ride-Hailing Travel Demand by Jiexiang Yin, Feiyan Zhao, Wenyun Tang, Jianxiao Ma

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A time series driven model for early sepsis prediction based on transformer module by Yan Tang, Yu Zhang, Jiaxi Li

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TCLPI: Machine Learning-Driven Framework for Hybrid Learning Mode Identification by Chaman Verma, Zoltan Illes, Deepak Kumar

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Development and Interpretation of Multiple Machine Learning Models for Predicting Postoperative Delayed Remission of Acromegaly Patients During Long-Term Follow-Up by Congxin Dai, Yanghua Fan, Yichao Li, Xinjie Bao, Yansheng Li, Mingliang Su, Yong Yao, Kan Deng, Bing Xing, Feng Feng, Ming Feng, Renzhi Wang

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