Analysis of full-length Ste5 (1–917) coding sequence with bioinformatics algorithms. by Francis W. Farley (17199744)

Comparison of PyNoetic’s functionality for BCI design with other existing state-of-the-art frameworks. by Gursimran Singh (575288)

Subjects:

Comparison of the set found when solving IM for <i>k</i> = 19 by the greedy algorithm (left) and the one found by (1 + 1)-WEA for a network with <i>n</i> = 50 vertices. by Alexander Andreev (16822333)

Subjects:

Simulation results by genetic algorithms (GAs). by Yuji Omachi (15307241)

The largest number of <i>ϕ</i> vectors responding maximally to a particular orientation are the ones with a preference towards the vertical orientation, with this subset also showi... by Ilias Rentzeperis (10215602)

Algorithmic Chronology of Structural Agents and Water Nodes. by Robert J. Wagner (9857666)

Smoothing curve from GAM model in which the survival of smaller cluster has been modeled as a smooth function of the sample size. by Muhammad Atif (2575789)

Smoothing curve from GAM model in which the survival of smaller cluster has been modeled as a smooth function of the sample size. by Muhammad Atif (2575789)

Long and fast fixation times on a four-column graph <i>G</i>_<i>N</i>. by David A. Brewster (17118328)

Subjects: “…monotonically declining function…”

Multidomain, Automated Photopatterning of DNA-functionalized Hydrogels (MAPDH). by Moshe Rubanov (7289156)

“…<p><b>A)</b> Generalized workflow for fabricating DNA-functionalized hydrogels. …”

Demographic, murmur, and clinical outcome information in the Challenge training, validation, and/or test sets; nan values indicate unknown or missing values. by Matthew A. Reyna (16965038)

Subjects:

Demographic, murmur, and clinical outcome distributions across the Challenge training, validation, and test data. by Matthew A. Reyna (16965038)

Subjects:

Weighted accuracy metric (1) for the murmur detection task (<i>x</i>-axis) and the cost metric (8) scores for the clinical outcome identification task (<i>y</i>-axis) of the final... by Matthew A. Reyna (16965038)

Subjects:

Scores of the officially ranked methods on the test set for the clinical outcome identification task. by Matthew A. Reyna (16965038)

Subjects:

Auscultation locations for the CirCor DigiScope dataset [6], which was used for the Challenge: Pulmonary valve (PV), aortic valve (AV), mitral valve (MV), and tricuspid valve (TV). by Matthew A. Reyna (16965038)

Subjects:

Traditional evaluation metric (<i>x</i>-axis) and cost metric (<i>y</i>-axis) scores for the final Challenge entries with the clinical outcome identification task on the hidden tes... by Matthew A. Reyna (16965038)

Subjects:

Traditional evaluation metric (<i>x</i>-axis) and weighted accuracy metric (<i>y</i>-axis) scores for the final Challenge entries with the murmur detection task on the hidden test... by Matthew A. Reyna (16965038)

Subjects:

Confusion matrix <i>N</i> for clinical outcome detection with two classes: Clinical outcome abnormal and clinical outcome normal. by Matthew A. Reyna (16965038)

Subjects:

Screening and diagnosis pipeline for the Challenge. by Matthew A. Reyna (16965038)

Subjects:

Confusion matrix <i>M</i> for murmur detection with three classes: Murmur present, murmur unknown, and murmur absent. by Matthew A. Reyna (16965038)

Subjects: