Temporal response patterns determined by the GMM clustering algorithm across varying primary stimulus parameters (amplitude or onset ramp velocity) of all test stimuli. by Dinh K. Tang (20469082)

Cluster-Membership of Countries based on their NDSs contents. by Smruti Bulsari (22607867)

Source Code and Dataset by Swathi Ganesan (14394924)

Table 1_i-DENV: development of QSAR based regression models for predicting inhibitors targeting non-structural (NS) proteins of dengue virus.xlsx by Sakshi Gautam (10305897)

Bias value of TST between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index. by Pauline Guyot (8566470)

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Bias value of AHI between polysomnography and the ECG-based detection algorithm for different classes of: (i) severity of AHI, (ii) reliability index. by Pauline Guyot (8566470)

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Prevalence of MM patients in metropolitan France based on the MYLORD algorithm (2014–2020). by Cyrille Touzeau (14982494)

Data Sheet 1_i-DENV: development of QSAR based regression models for predicting inhibitors targeting non-structural (NS) proteins of dengue virus.docx by Sakshi Gautam (10305897)

Operation curve comparison among the five algorithms in the 95 s trip. by Yunhu Huang (21402795)

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Operation curve comparison among the five algorithms in the 115 s trip. by Yunhu Huang (21402795)

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Operation curve comparison among the five algorithms in the 101s trip. by Yunhu Huang (21402795)

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DataSheet1_Study on risk factors of impaired fasting glucose and development of a prediction model based on Extreme Gradient Boosting algorithm.docx by Qiyuan Cui (19729288)

“…Objective<p>The aim of this study was to develop and validate a machine learning-based model to predict the development of impaired fasting glucose (IFG) in middle-aged and older elderly people over a 5-year period using data from a cohort study.…”

Data_Sheet_1_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.CSV by Jie Shen (31533)

Data_Sheet_2_Development of prognostic models for advanced multiple hepatocellular carcinoma based on Cox regression, deep learning and machine learning algorithms.docx by Jie Shen (31533)

Ranking of ML algorithms. by Yasemin Ayaz Atalan (21989402)

“…For this purpose, well-known Machine Learning (ML) algorithms such as Random Forest (RF), Adaptive Boosting (AB), and Gradient Boosting (GB) were utilized. …”

Comparison of results based on CycleGAN method. by Xiaojun Wang (50332)

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Core genes were selected through PPI analysis based on three algorithms. by Dong-Hee Han (140305)

Variable selection procedure using the Boruta algorithm. by Qiudie Liu (22655907)

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Workflow of our study to evaluate the performance of GNNs compared to benchmark algorithms. by Daniel Walke (21680915)

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Table of parameters of the genetic algorithm. by Yihan Liu (2258221)

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