Interpretable machine learning leverages proteomics to improve cardiovascular disease risk prediction and biomarker identification by Héctor Climente-González, Min Oh, Urszula Chajewska, Roya Hosseini, Sudipto Mukherjee, Wei Gan, Matthew Traylor, Sile Hu, Ghazaleh Fatemifar, Jonas Ghouse, Paul Pangilinan Del Villar, Erik Vernet, Nils Koelling, Liang Du, Robin Abraham, Chuan Li, Joanna M. M. Howson

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Effects of different wearable sensors and locomotion tasks on machine learning-based joint moment prediction by Jonas Weber, Bernd J. Stetter

“…Other factors, such as task diversity, sample size, ML algorithms, and model evaluation, may have a greater impact on joint moment predictions than different wearable sensor-based model inputs. …”
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Early In-Hospital Mortality Prediction Based on xTimesNet and Time Series Interpretable Methods by Xueyan Wang, Zhengxing Yuan, Zhiqiu Yao, Youwei Yuan, Lanjun Luo

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Application of Binary Image Quality Assessment Methods to Predict the Quality of Optical Character Recognition Results by Mateusz Kopytek, Piotr Lech, Krzysztof Okarma

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TabNet for crop yield prediction: promoting sustainability and climate resilience in Saudi Arabian agriculture by Mohammad M. Islam, Majed Alharthi, Rotana S. Alkadi, Rafiqul Islam, Abdul Kadar Muhammad Masum

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Prediction of cancer cell line-specific synergistic drug combinations based on multi-omics data by Jiaqi Chen, Huirui Han, Lingxu Li, Zhengxin Chen, Xinying Liu, Tianyi Li, Xuefeng Wang, Qibin Wang, Ruijie Zhang, Dehua Feng, Lei Yu, Xia Li, Limei Wang, Bing Li, Jin Li

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COVID-19 pandemic and unemployment rate prediction for developing countries of Asia: A hybrid approach. by Lumin Shi, Yousaf Ali Khan, Man-Wen Tian

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A Dynamic Multi-Graph Convolutional Spatial-Temporal Network for Airport Arrival Flow Prediction by Yunyang Huang, Hongyu Yang, Zhen Yan

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Research and Application of Denitrification Optimal Control Based on Multi-Variable Generalized Predictive Control Algorithms by Xiaodong ZHANG, Pengfei WANG, Le LIU

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A novel approach for predicting microbe-disease associations by bi-random walk on the heterogeneous network. by Shuai Zou, Jingpu Zhang, Zuping Zhang

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Corrosion Rate Analysis and Prediction of the Remaining Life of the Research Vessel to Improve Ship Safety Aspects by Andi Cahyo Prasetyo Tri Nugroho, Cahyo Sasmito, Abid Paripurna Fuadi, Dany Hendrik, Cakra Wijaya Kusuma Rahadi, Rizqi Dian Permana, Noor Muhammad Ridha Fuadi

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PAD-SA: a method for predicting the turnover of scientific researchers based on ADASYN-Stacking algorithm by Tianyi Zhang, Jing Yang, Ru Liu, Qiyuan Feng

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Prediction of additional hospital days in patients undergoing cervical spine surgery with machine learning methods by Bin Zhang, Shengsheng Huang, Chenxing Zhou, Jichong Zhu, Tianyou Chen, Sitan Feng, Chengqian Huang, Zequn Wang, Shaofeng Wu, Chong Liu, Xinli Zhan

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Interpretable Prediction of a Decentralized Smart Grid Based on Machine Learning and Explainable Artificial Intelligence by Ahmet Cifci

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Intelligence Types Predict Different Domains of Emotional Creativity Through Self-Assessed Creativity and Intelligence by Tatiana V. Kornilova, Maria A. Chumakova, Lydia B. Maksarova

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A Robust Framework for Bamboo Forest AGB Estimation by Integrating Geostatistical Prediction and Ensemble Learning by Lianjin Fu, Qingtai Shu, Cuifen Xia, Zeyu Li, Hailing He, Zhengying Li, Shaoyang Ma, Chaoguan Qin, Rong Wei, Qin Xiang, Xiao Zhang, Yiran Zhang, Huashi Cai

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Nomogram to predict periprosthetic joint infection after total hip arthroplasty using laboratory tests by Junzhe Lang, Zetao Dong, Boyuan Shi, Dongdong Wang, Jiandong Yuan, Lei Chen, Jianqing Gao, Anan Sun, Jiyue Huang, Zhiqiang Xue

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Out-of-distribution reject option method for dataset shift problem in early disease onset prediction by Taisei Tosaki, Eiichiro Uchino, Ryosuke Kojima, Yohei Mineharu, Yuji Okamoto, Mikio Arita, Nobuyuki Miyai, Yoshinori Tamada, Tatsuya Mikami, Koichi Murashita, Shigeyuki Nakaji, Yasushi Okuno

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Explainable Deep Learning to Predict Kelp Geographical Origin from Volatile Organic Compound Analysis by Xuming Kang, Zhijun Tan, Yanfang Zhao, Lin Yao, Xiaofeng Sheng, Yingying Guo

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Maize and soybean yield prediction using machine learning methods: a systematic literature review by Ramandeep Kumar Sharma, Jasleen Kaur, Gary Feng, Yanbo Huang, Chandan Kumar, Yi Wang, Sandhir Sharma, Johnie Jenkins, Jagmandeep Dhillon

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