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.…”

Source Code and Dataset by Swathi Ganesan (14394924)

The fitness value for each algorithm to execute under four virtual machines. by Chaoze Lu (20542500)

Code for Most Likely Paths Calculation_ERP by Mengqi Yang (21263402)

Flowchart of the SSA-based optimization of the BPNN algorithm. by Yeping Shi (14279118)

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UpSet diagram illustrating the overlap of DNBs selected by our method and top-ranked genes by the 13 baseline centrality-based ranking algorithms. by Fatemeh Keikha (20917848)

Access control pseudo-code. by Yonggang Huang (223155)

Feature importance plot obtained for regression-based algorithms. by Akshansh Mishra (21001499)

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Algorithm for generating hyperparameter. by Balraj Preet Kaur (20370832)

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Model evaluation of 10 machine learning algorithms for the 5 definitions of IDH. by Pingping Wang (1485592)

Oviduct Glycoprotein 1 (OVGP1) Diagnoses Polycystic Ovary Syndrome (PCOS) Based on Machine Learning Algorithms by Fengjuan Wang (768949)

Supplementary file 1_The value of unsupervised machine learning algorithms based on CT and MRI for predicting sarcopenia.doc by Huayan Zuo (22308277)

“…Objectives<p>This study aims to investigate the efficacy of unsupervised machine learning algorithms, specifically the Gaussian Mixture Model (GMM), K-means clustering, and Otsu automatic threshold partitioning, in predicting sarcopenia based on computed tomography (CT) and magnetic resonance imaging (MRI) data.…”

Pseudo-code of large neighborhood search (<i>LNS</i>) algorithm. by Jiren CAO (20442214)

Construction of the PRG score index using integrated machine learning algorithms. by Xiangxin Wu (22320058)

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11-machine 19-load system parameters. by Weilin Wu (13736)

source code of the PyMatterSim package by Y.-C. Hu (21440990)

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code by Goutami Sooda (20714729)

“…The data is stored in JSON format under the following labels:</p><ul><li><b>"kannada text"</b> – Kannada algorithmic statement</li><li><b>"text"</b> – English algorithmic statement</li><li><b>"code"</b> – Expected Python output</li></ul><h4><b>Dataset Highlights: -</b></h4><ul><li><b>Triplet Structure:</b> Kannada algorithmic statements, their English translations, and Python code.…”

Code might be found under: https://kaggle.com/code/agatasko/anomalies-graph-networks. by Agata Skorupka (20469080)

Results of machine learning based biomarker screening analysis. by Yatan Li (21439415)

Prediction of Standard Combustion Enthalpy of Organic Compounds Combining Machine Learning and Chemical Graph Theory: A Strategy by Fernanda Saviñon-Flores (22206313)

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