Parameter Settings for competitive algorithms. حسب Genliang Li (5816264)

"…The Grey Wolf Optimizer (GWO) is a well-known meta-heuristic algorithm rooted in swarm intelligence. It is widely used in various optimization problems due to its fast convergence and minimal parameter requirements. …"

ML algorithms in cyber security. حسب Abdullah Asım Yılmaz (20715311)

Performance of machine learning algorithms. حسب Wenxue Liu (6877754)

Comparative analysis of off-policy PPO algorithm and on-policy algorithm on the a) CSMAR and b) MorningStar datasets. حسب Cai Yuanqing (22513351)

ML algorithms used in this study. حسب Toheeb Salahudeen (21368040)

"…Six machine learning algorithms, including Random Forest, were applied and their performance was investigated in balanced and unbalanced data sets with respect to binary and multiclass classification scenarios. …"

Structure and the optimization technique of the algorithms adopted in the study. حسب M. A. Habib (16839161)

الموضوعات:

Multi-algorithm performance comparison and statistical analysis. حسب Yanfen Zhang (2570449)

Feature Importance Analysis of the Algorithms expressed by SHAP indices. حسب M. A. Habib (16839161)

الموضوعات:

Statistical analysis of the prediction results from the ML algorithms. حسب M. A. Habib (16839161)

الموضوعات:

NLP feature set variables for TwiBot-20. حسب Agata Skorupka (20469080)

الموضوعات:

Experimental parameter settings. حسب Qingling Zhang (758713)

الموضوعات:

Subset lattices with parent set constraints. حسب Nand Sharma (21519845)

الموضوعات:

UpSet diagram illustrating the overlap of DNBs selected by our method and top-ranked genes by the 13 baseline centrality-based ranking algorithms. حسب Fatemeh Keikha (20917848)

Summary of the metrics of the different trained models foreach algorithm in each split for each dataset. حسب Jaime B. Matas-Bustos (21772430)

Summary of the metrics of the different trained algorithms that performed best in the Testing process for each dataset. حسب Jaime B. Matas-Bustos (21772430)

Summary of the metrics of the different trained algorithms based on mean and 95% confidence intervals (calculated using t-Student) for the Testing process in each dataset. حسب Jaime B. Matas-Bustos (21772430)

Data Sheet 1_Clinical validation of an artificial intelligence algorithm for classifying tuberculosis and pulmonary findings in chest radiographs.pdf حسب Thiago Fellipe Ortiz de Camargo (19460818)

"…Artificial Intelligence (AI) algorithms could be of great help, but using real-world data is crucial to ensure their effectiveness in diverse healthcare settings. …"

Settings of simulation scenarios and the resulting percentages of NAs obtained from simulations. حسب Sofia Tagliaferro (20291213)

الموضوعات:

Baseline characteristics of the 60% compliance EA and PC analysis sets. حسب Laura C. Zwiers (21492805)

الموضوعات:

Comparative analysis of computational efficiency across various hyperparameter optimization algorithms on the CSMAR and MorningStar datasets. حسب Cai Yuanqing (22513351)