Source datasets for generating the synthetic population. by Philip Cherian (11172138)

Evaluating stability across multiple stochastic runs on the algorithm design datasets. by Yasamin Tabatabaee (18095491)

Comparison with other algorithms on a regression task. by Hiroshi Maruyama (2531797)

Multiple sequence alignment plot generated by Unipro UGENE [32]. by Rui Wang (52434)

Maintaining multiple hypotheses in the solution set. by Tarun Khajuria (12117309)

Two-dimensional visualization of cell clustering in the Pollen dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the Petropoulos dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Federated averaging algorithm. by Yan Qin (118276)

Two-dimensional visualization of cell clustering in the Guo2 dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the iPSC dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Two-dimensional visualization of cell clustering in the CellType dataset before and after imputation using multiple algorithms. by Siyi Huang (8562174)

Comparative results with existing representative algorithms. by Yan Qin (118276)

R file that generates the random vectors used by the other R files. by Jürgen Kampf (21354027)

Framework of SW-Metapath2vec algorithm. by Lang Chai (20521817)

“…The study was conducted using multiple real-world and synthetic datasets to validate the proposed algorithm’s performance. …”

Literature review on Benders cut selection and a multiple cut generation scheme by Timoleon Kaltis (22119860)

Assessment of multiple parameters for Cell2Spatial performance and assignment strategy. by Huamei Li (8815955)

Power quality control algorithms for small scale power intergration systems by Advocate Mlamla (20170815)

Algorithm stages for the clustering phase. by Julien Roche (611898)

“…This was assessed by comparing the genotypes generated by both methods for a dataset of 1232 triploid rainbow trout genotyped for 38,033 SNPs. …”

Comparison of results from multiple runs. by Naiwei Tu (22177688)

Capitalizing on the differences of prediction between multiple scRNA-seq clustering methods. by Yanis Asloudj (19711636)

“…While that approach is sensible, it has yet to address some conceptual challenges in single-cell data science; namely, ensemble algorithms have yet to generate clustering results with uncertainty values and multiple resolutions. …”