The algorithm for the same-day surgery protocol. by Magnus Tveit (11442200)

The SSIM for the different algorithms. by Bingbing Li (461702)

“…Different types of noise require different denoising algorithms and techniques to maintain image quality and fidelity. …”

Performance of PCA and Joint Autoencoder (JAE) denoising algorithms. by Ege Altan (11768156)

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<b>Opti2Phase</b>: Python scripts for two-stage focal reducer by Morgan Najera (21540776)

“…For proper execution, this folder must be placed within the <b>KrakenOS</b> directory, at the same level as the <b>Examples</b> folder.…”

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)

“…<p>(A), (B) Algorithm performance, evaluated over 50 simulated datasets generated as described in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012590#pcbi.1012590.g001" target="_blank">Fig 1</a> with <i>N</i> = 3 true groups, 900 samples and 10% simulated measurement noise. …”

Experiment 1b: Evaluating modularity-based consensus clustering pipelines on the algorithm design datasets as a function of the mixing parameter. by Yasamin Tabatabaee (18095491)

Comparative performance evaluation of 3Mont with other feature selection algorithms over 10 iterations. by Miray Unlu Yazici (14792680)

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Exponent in memory kernel and intensity function. by Mariko I. Ito (5007323)

Distribution of cross correlations in functional connectivity in ABIDE sample. by Alexandria M. Jensen (6494957)

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Conservation and functional variation across TcdB subtypes. by Michael J. Mansfield (9922934)

Boxplot of PLNMFG and other eight state-of-the-art algorithms measured by (a) ACC and (b) AMI on six real datasets. by Hui Yuan (402180)

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

Experiment 2D and 5D: Progressive Sample Scaling Algorithm To Solve Many-Affine BBOB Functions. by Boris Almonacid (4110337)

“…For this specific experiment<a href="https://markdownlivepreview.com/#cite_note-2" target="_blank">^[2]</a><a href="https://markdownlivepreview.com/#cite_note-3" target="_blank">^[3]</a>, the average AOCC is calculated.</p><p dir="ltr"><b>Objectives</b></p><ul><li>Solve Many-Affine BBOB Functions using a Deterministic Algorithm.…”

Identifying cognitive impairment with story recall (Wilson et al., 2024) by Sarah C. Wilson (19370966)

“…Permutation testing confirmed that the 77% accuracy and 0.18 Brier skill score achieved by the model were statistically significant (<i>p</i> < .00001).</p><p dir="ltr"><b>Conclusions:</b> These results suggest that expository discourse tasks that place demands on executive functions, such as working memory, can be used to identify aging adults who test within range of cognitive impairment. …”

Trajectory comparison for system 3: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Trajectory comparison for system 1: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Trajectory comparison for system 2: (A) starting point within collection range; (B) starting point outside collection range. by Jingnan Yan (20727331)

Effect of noise on dimensionality estimates. by Ege Altan (11768156)

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Amount of data required by dimensionality estimators. by Ege Altan (11768156)

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Effect of increasing true dimensionality on dimensionality estimates. by Ege Altan (11768156)

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