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

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

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

Pipeline for synthetic population generation. by Philip Cherian (11172138)

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

Data generation process. by Nicola Dietler (12551766)

Federated averaging algorithm. by Yan Qin (118276)

G R code algorithm. by R. Sakthivel (2589547)

“…<div><p>Loss-less data compression becomes the need of the hour for effective data compression and computation in VLSI test vector generation and testing in addition to hardware AI/ML computations. …”

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)

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)

The workflow of Algorithm 2 with the example in by Badhan Das (7434362)

Multiple indicator test results. by Jun Zhao (59250)

“…Therefore, the study improves the quality information model for prefabricated nodes and the dragonfly algorithm by introducing principal component dimensionality reduction methods and multiple strategies through data modeling. …”

Linear-regression-based algorithms succeed at identifying the correct functional groups in synthetic data, and multi-group algorithms recover more information. by Yuanchen Zhao (12905580)

Generation of a Position Weight Matrix (PWM) from a set of infected PE files by Paul A. Gagniuc (1818325)

S1 Data - by Wenbing Shi (5806160)

Subjects:

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. …”