Comparison procedure steps. حسب Elena Albu (15181070)

الموضوعات:

Errors (deviations from true values); median and IQR bars. حسب Elena Albu (15181070)

الموضوعات:

Prediction performance for datasets with simulated missingness (BSS for categorical outcomes and R squared for continuous outcomes). حسب Elena Albu (15181070)

الموضوعات:

NMSE errors (deviations from true values) on test sets for simulated datasets with simulated missingness: low correlation (0.1) and high AUROC (0.9). حسب Elena Albu (15181070)

الموضوعات:

Simulated datasets description. حسب Elena Albu (15181070)

الموضوعات:

Data Sheet 1_Construction and validation of a nomogram model for lymph node metastasis of stage II-III gastric cancer based on machine learning algorithms.xls حسب Chongkang Yue (19815378)

Modeling approach and network generating algorithm. حسب Matthew Aguirre (9558032)

Data and Scripts for 'A Predictive Model for Attention-deficit/hyperactivity Disorder and Its Subtypes in Children: A Back-propagation Neural Network Optimized with Genetic Algorithms Based on Multidimensional Cognitive Ability Tests' حسب Wang (20310746)

"…The present study recruited 316 children aged 6 to 14 years, including 98 with the inattentive subtype, 80 with the combined subtype, and 138 typically developing controls. Using <a href="" target="_blank">multidimensional cognitive ability tests</a> and a <a href="" target="_blank">back-propagation neural network</a> optimized by a genetic algorithm, this study developed a computer-aided diagnostic model to distinguish children with attention-deficit/hyperactivity disorder and its specific subtypes. …"

Training and Testing Set for HRDsig Algorithm Development. حسب Wenshu Li (762627)

Comparison of results of machine learning prediction models based on imaging and clinical practice. حسب Ningxin Chen (12965441)

الموضوعات:

Optimize process data and final results حسب Dawei Wang (471687)

Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks حسب Zhihuang Yang (22530437)

الموضوعات:

Table 1_Predicting liver metastasis in pancreatic neuroendocrine tumors with an interpretable machine learning algorithm: a SEER-based study.docx حسب Jinzhe Bi (21225545)

"…Furthermore, the SHAP framework revealed that surgery, N-stage, and T-stage are the primary decision factors influencing the machine learning model’s predictions. Finally, based on the GBM algorithm, we developed an accessible web-based calculator to predict the risk of liver metastasis in PaNETs.…"

Performance comparison of the same models of the different data set. حسب Lang Deng (5681033)

الموضوعات:

Architecture of AGAN algorithm model. حسب Xing Chen (140292)

Working steps and operating algorithm of the developed GSMCS. حسب Abdallah Elshawadfy Elwakeel (19852263)

The algorithm of the applied models. حسب Elif Tuçe Bal (21367965)

الموضوعات:

Identification of early prognostic biomarkers in Severe Fever with Thrombocytopenia Syndrome using machine learning algorithms حسب Jie Zhu (126574)

"…Six different machine learning algorithms were employed to develop prognostic models based on the clinical features during the acute phase, which were reduced using Lasso regression.…"

Stage 3 Workshops: Investigating the Learning Mechanics - Game Mechanics (LM-GM) model for the development of digital game-based learning حسب Glen Shearer (9834266)

High-Precision Landing on a Moving Platform Based on Drone Vision Using Yolo Algorithm حسب Satoshi Suzuki (20437556)

"…To overcome the challenge of the flight altitude is too high to detect the landing target, this paper fi rst detects large-volume targets, followed by the precise identifi cation of smaller targets, achieving enhanced recognition accuracy and speed through an improved YOLOv8 OBB algorithm. To maintain the UAV’s safety and stability throughout the landing process, This paper applies a position control approach using a reference model based sliding mode controller (RMSMC). …"