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

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

Model 1 performance for each fold of training and testing. حسب Jamison H. Burks (21029607)

الموضوعات:

Model 2 performance for each fold of training and testing. حسب Jamison H. Burks (21029607)

الموضوعات:

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

Automated Analysis of Astrocyte Cell Connectivity After Laser Ablation Using Machine Learning and Path-Finding Algorithms حسب Connor Lee (22327243)

"…Astrocytes, critical glial cells in the central nervous system, exhibit calcium spikes in response to injury, but manual annotation of imaging data is time-consuming and prone to bias. The study integrates Cellpose 2.0 for automated segmentation of nuclei and cytoplasm with a heuristic A* path-finding algorithm to classify cellular connectivity. …"

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. حسب Abdullah Asım Yılmaz (20715311)

A* Path-Finding Algorithm to Determine Cell Connections حسب Max Weng (22327159)

Data underlying the findings. حسب Carol Kotliar (22351525)

BIC-SAC findings. حسب Nayeem Ahmad Khan (11727377)

Excel file with primary data used to assemble figures. حسب Ankit Srivastava (742990)

الموضوعات:

BER comparison among PSM-based feedback algorithm, SBF algorithm, and perfect CSI using Monte-Carlo simulation. حسب Sarmad Sohaib (21273402)

الموضوعات:

Data Sheet 1_A method for finding epistatic effects of maternal and fetal variants.docx حسب Michael Nodzenski (3714730)

"…Though the epistasis-mining algorithms MDR-PDT, TrioFS, and EPISFA-LD were originally designed to find epistatic offspring variants, we generalize them to include maternal SNPs and search more broadly. …"

BIC Non-linearity findings. حسب Nayeem Ahmad Khan (11727377)

SAC’s findings for suggested S-Box. حسب Nayeem Ahmad Khan (11727377)

Risk element category diagram. حسب Yao Hu (3479972)

Relevant data underlying the findings described in manuscript. حسب Lin Qi (128224)

Comparison of TPR, FPR, and AUC for Different Methods (Five-Fold Cross-Validation). حسب Hao Cao (2248066)

Results of 5-fold cross-validation of ISSA-BP. حسب Peiwen Zhang (1863202)

Fractional Cross-Validation for Optimizing Hyperparameters of Supervised Learning Algorithms حسب Suraj Yerramilli (21510476)

"…In this work, we propose a highly-efficient Bayesian optimization algorithm for optimizing the hyperparameters of supervised learning algorithms with K-fold CV error as the evaluation criterion. …"