Comparisons (%) of our proposed method with two baselines on the KinFaceW-II dataset. by Xiaoqian Qin (22216608)

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Review of existing representative kinship verification methods. by Xiaoqian Qin (22216608)

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Mean verification accuracy of our proposed method versus different values of parameter K. by Xiaoqian Qin (22216608)

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Comparisons (%) of our proposed method with state-of-the-art methods on the KinFaceW dataset. by Xiaoqian Qin (22216608)

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Model-relevant variable data for external patients. by Lei Gao (6566)

Machine Learning-Assisted Fe–N–C Single-Atom Nanozyme Rapid Screening Platform for Acetylcholinesterase Inhibitors by Xin Li (51274)

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Summary of data collection schedule for phase 2. by Hye Jun Lee (9220861)

“…This study aims to develop a machine learning algorithm to predict both psychotropic drugs-induced weight gain and metabolic changes, and the potential of anti-obesity drugs. …”

Data Sheet 1_Using reinforcement learning in genome assembly: in-depth analysis of a Q-learning assembler.pdf by Kleber Padovani (10198918)

Machine learning model performances. by Pietro Arina (10494265)

“…Preoperative cardiorespiratory fitness data from cardiopulmonary exercise testing (CPET), demographic and clinical data were extracted and integrated into advanced machine learning (ML) algorithms. …”

Digital Twin-Driven Reprocessing Scheduling Considering Delayed Differentiation and Urgent Tasks Insertion Using a Hybrid Whale Optimization Algorithm Combined with Q-learning by Authors (for anonymous review purpose) (6946952)

“…<p dir="ltr">This is the experimental data of the manuscript entitled “Digital Twin-Driven Reprocessing Scheduling Considering Delayed Differentiation and Urgent Tasks Insertion Using a Hybrid Whale Optimization Algorithm Combined with Q-learning”.…”

Table 1_Integrating GWAS and machine learning for disease risk prediction in the Taiwanese Hakka population.xlsx by Jing-Hong Xiao (22780781)

“…After standard quality control, 295,589 SNPs were retained. Fourteen machine-learning algorithms were evaluated using SNPs selected through traditional GWAS filtering and refined via wrapper-based feature selection with a best-first search algorithm. …”

Python code for estimating parameters of an ALAAM model. by Alex Stivala (8356257)

“…<p>This code uses ALAAMEE with the stochastic approximation algorithm to estimate ALAAM parameters and their standard errors for the teenage friends and lifestyle data excerpt, with smoking as the outcome variable. …”

Model code by Waltraud Schulze (20695250)

“…The latter provides insights into the inherent texture complexity of the image data due to the lossless coding. For classification of leaf surfaces from tree species based on the computed features, we utilized the k-nearest neighbors (kNN) algorithm with k=3. …”

AUC results (%) compared among methods, the LACK algorithm cannot work on the GRAZ02 dataset and is replaced with “—”. The best results are highlighted in bold. by Hui Yang (91136)

Accuracy results (%) compared among methods, the LACK algorithm cannot work on the GRAZ02 dataset and is replaced with “—”. The best results are highlighted in bold. by Hui Yang (91136)

Framework of MsHop. by Jia Li (160557)

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Performance comparison between ASGBC and human radiologists. by Jia Li (160557)

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Results of ablation study. by Jia Li (160557)

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Kappa consistency ranges. by Jia Li (160557)

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Performance metrics under different noise levels. by Jia Li (160557)

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