Data processing. by Jay Chandra (19703931)

Subjects:

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

Algorithm of model development and validation. by Bethan Cracknell Daniels (20469396)

Minimal data set definition. by Hui Yang (91136)

Subjects:

Accuracy of the Random forest algorithm for different values of test samples and different choice of random states. by Abeer Aljohani (18497914)

Subjects:

Accuracy of the Random forest algorithm for different values of test samples and different choice window indexes. by Abeer Aljohani (18497914)

Subjects:

Prediction performance compared with the CART algorithm. by Yixian Wen (12201388)

Subjects:

Flow chart of edge folding algorithm. by Cuiying Zhou (10048078)

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

Algorithm pseudocode. by Cheng-jie Chen (22272090)

Subjects:

Anonymized data set. by Jonathan Nadjiri (665209)

“…</p><p>Methods</p><p>During the three-year study period (2018–2021), the authors implemented an always-reachable, simple-to-remember emergency phone number routed to the responsible interventional radiologist on call and compared this pathway to the previous activation process. Data were acquired for all emergency cases with active arterial bleeding detected in CT scans and the diagnosis to treatment intervals before and after implementation were retrospectively analysed. …”

Parametric study of accuracy of the Random forest algorithm for different proportions of test samples and different choice of random states. by Abeer Aljohani (18497914)

Subjects:

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

Subjects:

Parameter settings. by Yixian Wen (12201388)

Subjects:

Feature extraction model training process. by Fengning Liang (20927493)

Subjects:

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

Schematic of the directed network flow entropy (DNFE) algorithm. by Xueqing Peng (10678527)

Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

“…<p>A model-based approach is developed for clustering categorical data with no natural ordering. The proposed method exploits the Hamming distance to define a family of probability mass functions to model the data. …”

Algorithm detection steps. by José M. Rivera-Arbeláez (12418512)

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. by Jaime B. Matas-Bustos (21772430)