The speciation of ANEAT model evolution. by Wenbing Shi (5806160)

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The analysis of feature importance. by Wenbing Shi (5806160)

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The parameter setting of the evolutionary neural network. by Wenbing Shi (5806160)

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The fitness of ANEAT model evolution. by Wenbing Shi (5806160)

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The structure of the ANEAT model corresponds to the optimal species genome. by Wenbing Shi (5806160)

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The construction process of the CGO prediction model. by Wenbing Shi (5806160)

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The comparison of different prediction methods on the test set. by Wenbing Shi (5806160)

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The genome recombination of neuroevolution. by Wenbing Shi (5806160)

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The fitness of NANEAT model evolution. by Wenbing Shi (5806160)

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The speciation of NANEAT model evolution. by Wenbing Shi (5806160)

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PyNoetic’s classification module supports a range of popular and widely used ML classification models with just a single line of function call. by Gursimran Singh (575288)

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Comparison of Uniform Manifold Approximation and Projection (UMAP)-based and feature-based spike sorting on synthetic data. by Daniel Suárez-Barrera (22676654)

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Spatiotemporal spike sorting on multi-electrode array (MEA) data: Uniform Manifold Approximation and Projection (UMAP) vs. SpyKING CIRCUS (SC). by Daniel Suárez-Barrera (22676654)

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Uniform Manifold Approximation and Projection (UMAP)-based sorting enhances detection of low-firing rate neurons and boosts mutual information. by Daniel Suárez-Barrera (22676654)

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Impact of multiunit merging on neural information encoding. by Daniel Suárez-Barrera (22676654)

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QQESPM-GS - Codes and Data by Carlos Pontes (20835533)

“…<p dir="ltr">Codes and Data for the algorithms, methods and experiments presented in the paper titled "QQESPM-GS: an Efficient Solution for Geo-textual Search Parameterized by Graph-based Spatial Patterns".…”

Main code. by Jingguo Bi (21439766)

Code and data. by Crispin H. V. Cooper (21484906)

“…We suggest that the metaphor of discrete echo chambers may be inappropriate for meta-opinions: while measures of meta-opinion accuracy and its influences can reveal echo chamber characteristics where other metrics confirm their presence, the presence or absence of meta-opinion clusters is not itself sufficient to define an echo chamber. We publish both data and analysis code as supplementary material.…”

Data Sheet 1_Strategies for population-level identification of post-acute sequelae of COVID-19 through health administrative data.pdf by Cristina Mazzali (22090328)

“…From each included study, we extracted data on design, algorithms used for outcome identification (sources, coding systems, codes, time criteria/thresholds), and whether significant associations with SARS-CoV-2 infection were reported.…”

A classification scheme of bipartite randomization algorithms, based on whether the matrix row and columns sums are preserved exactly (Fixed, <i>F</i>), preserved on average (Propo... by Zachary P. Neal (9946331)