Test results of different training methods. by Hao Wu (65943)

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Schematic diagram of subpixel convolution. by Hao Wu (65943)

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PS-UNet++ model structure. by Hao Wu (65943)

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Network structure diagram of UNet++. by Hao Wu (65943)

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Sub-pixel convolution upsampling module. by Hao Wu (65943)

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Loss function and accuracy curve comparison. by Dayu Zhang (710629)

Flowchart for the unsupervised SOM algorithm modified from Seifert et al. [56] with permission. by Sergio Montalt-García (17696115)

Performance of ENQUIRE’s gene normalization algorithm. by Luca Musella (19986312)

Wav2DDK: An automated DDK estimation algorithm (Kadambi et al., 2023) by Prad Kadambi (16680635)

“…The clinical utility of the algorithm was demonstrated on a corpus of 7,919 assessments collected longitudinally from 26 healthy controls and 82 ALS speakers. …”

Supplemental Table 1 from A Novel Functional Splice Variant of <i>AKT3</i> Defined by Analysis of Alternative Splice Expression in HPV-Positive Oropharyngeal Cancers by Theresa Guo (687267)

Source code for splice variant algorithm from A Novel Functional Splice Variant of <i>AKT3</i> Defined by Analysis of Alternative Splice Expression in HPV-Positive Oropharyngeal Cancers by Theresa Guo (687267)

Geometric interpretation and data visualisation equivalent describing the DI algorithmic pipeline. by Borjan Milinkovic (21349908)

Risk and density functions for standard relapse from remission condition to disease <i>b</i> condition (similar shapes for standard relapse to disease <i>a</i>). by Benoîte de Saporta (20454662)

Classical benchmark functions [39]. by Junhao Wei (6816803)

“…<div><p>Whale Optimization Algorithm (WOA) is a biologically inspired metaheuristic algorithm with a simple structure and ease of implementation. …”

Runtime of algorithms. by Samantha Petti (12206995)

“…<p>Each algorithm was run once on each Pfam seed and full alignment for at most 6 days. …”

Table S1 from The Landscape of Isoform Switches in Human Cancers by Kristoffer Vitting-Seerup (2696728)

Datasheet1_Gait analysis comparison between manual marking, 2D pose estimation algorithms, and 3D marker-based system.pdf by Dimitrios Menychtas (16935831)

p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from table 1 with 1000 dimensions. by Aijun Zhu (822068)

“…<p>p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from table <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0251204#pone.0251204.t001" target="_blank">1</a> with 1000 dimensions.…”

p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from Table 1 with 30 dimensions. by Aijun Zhu (822068)

“…<p>p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0251204#pone.0251204.t001" target="_blank">Table 1</a> with 30 dimensions.…”

p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from Table 1 with 100 dimensions. by Aijun Zhu (822068)

“…<p>p-values of the Wilconxon rank-sum test at 0.05 significance level for CRLPO against other eight algorithms on 19 benchmark functions from <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0251204#pone.0251204.t001" target="_blank">Table 1</a> with 100 dimensions.…”