AutoML-Driven Insights into Patient Outcomes and Emergency Care During Romania’s First Wave of COVID-19 by Sonja C. S. Simon, Igor Bibi, Daniel Schaffert, Johannes Benecke, Niklas Martin, Jan Leipe, Cristian Vladescu, Victor Olsavszky

Subjects: “…automated machine learning…”
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Development of a sensitive disease-screening model using comprehensive circulating microRNA profiles in dogs: A pilot study by Kohei Omura, Kaori Ide, Masashi Takahashi, Yu Furusawa, Masanori Kobayashi, Yuichi Miyagawa, Aki Fujiwara-Igarashi, Takahiro Teshima, Yoshiaki Kubo, Akiko Yasuda, Karin Yoshida, Noriyuki Hayakawa, Masato Kobayashi, Yasuyuki Momoi

Subjects: “…Automated machine learning…”
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Automation of Predictive Maintenance: An Experimental Framework for Aircraft Landing Gear by Izaak Stanton, Kamran Munir, Ahsan Ikram, Murad El‐Bakry

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WindDragon: automated deep learning for regional wind power forecasting by Julie Keisler, Etienne Le Naour

Subjects: “…automated machine learning…”
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Comment on “Predictive Value of Advanced Lung Cancer Inflammation Index and Development of a Nomogram for Prognosis in Patients with Cervical Cancer Treated with Radiothe... by Yu Q, Jin X

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Developing an Hourly Water Level Prediction Model for Small- and Medium-Sized Agricultural Reservoirs Using AutoML: Case Study of Baekhak Reservoir, South Korea by Jeongho Han, Joo Hyun Bae

Subjects: “…automated machine learning…”
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AIPerf: Automated Machine Learning as an AI-HPC Benchmark by Zhixiang Ren, Yongheng Liu, Tianhui Shi, Lei Xie, Yue Zhou, Jidong Zhai, Youhui Zhang, Yunquan Zhang, Wenguang Chen

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Characterizing Duodenal Immune Microenvironment in Functional Dyspepsia: An AutoML-Driven Diagnostic Framework by Zhang X, Fan X, Hu X, Qian Z, Li J, Wu W, Chen L, Wu S, Ma L, Yang C, Zhang T, Su X, Wei W

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Leveraging Azure Automated Machine Learning and CatBoost Gradient Boosting Algorithm for Service Quality Prediction in Hospitality by Avisek Kundu, Seeboli Ghosh Kundu, Santosh Kumar Sahu, Nitesh Dhar Badgayan

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Automated Machine Learning for Optimized Load Forecasting and Economic Impact in the Greek Wholesale Energy Market by Nikolaos Koutantos, Maria Fotopoulou, Dimitrios Rakopoulos

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Automated machine learning for image-based detection of dental plaque on permanent teeth by Teerachate Nantakeeratipat, Natchapon Apisaksirikul, Boonyaon Boonrojsaree, Sirapob Boonkijkullatat, Arida Simaphichet

Subjects: “…automated machine learning…”
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Regional Soil Moisture Estimation Leveraging Multi-Source Data Fusion and Automated Machine Learning by Shenglin Li, Pengyuan Zhu, Ni Song, Caixia Li, Jinglei Wang

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Metaheuristics in automated machine learning: Strategies for optimization by Francesco Zito, El-Ghazali Talbi, Claudia Cavallaro, Vincenzo Cutello, Mario Pavone

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AutoML for calorific value prediction using a large database from the coal gasification practices in China by Yuchao Guo, Xia Liu, Yunfei Gao, Xiaoyu Wang, Lu Ding, Weitong Pan, Cheng Hua, Yulian He, Xueli Chen, Zhenghua Dai, Guangsuo Yu, Fuchen Wang

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Spatial modeling of brine level and salinity in the Qarhan Salt Lake using GIS and automated machine learning algorithms by Dongmei Yu, Zitao Wang, Chao Yue, Jianping Wang

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Automated machine learning for predicting perioperative ischemia stroke in endovascularly treated ruptured intracranial aneurysm patients by Yuhang Peng, Ke Bi, Xiaolin Zhang, Ning Huang, Xiang Ji, Weifu Chen, Ying Ma, Yuan Cheng, Yongxiang Jiang, Jianhe Yue

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Estimating Rainfall Erosivity in North Korea Using Automated Machine Learning: Insights into Regional Soil Erosion Risks by Jeongho Han, Seoro Lee

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Comparative Analysis of Automated Machine Learning for Hyperparameter Optimization and Explainable Artificial Intelligence Models by Muhammad Salman Khan, Tianbo Peng, Hanzlah Akhlaq, Muhammad Adeel Khan

Subjects: “…Automated machine learning…”
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Supervised Machine Learning Thyroid Carcinoma Diagnosis Using Wide-Field SHG Microscopy by Yaraslau Padrez, Radu Hristu, Igor Timoshchenko, Lucian G. Eftimie, Danielis Rutkauskas, Lena Golubewa

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An AutoML-Powered Analysis Framework for Forest Fire Forecasting: Adapting to Climate Change Dynamics by Shuo Zhang, Mengya Pan

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