Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks by Balázs Mészáros (16890225)

“…</li></ol><p dir="ltr">The data was generated and analysed with the code available on GitHub at https://github.com/mbalazs98/deventprop/</p><p dir="ltr">results.py contains all test accuracies shown in figures 4-7. …”

The accuracy rate of each algorithm model training set and test set. by Jie Lu (139953)

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)

Box plots of different algorithms on CEC2017 test function. by Tengfei Ma (597633)

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Multiclass comparison of algorithms on test data for KDDCup 99. by Arati Behera (19864844)

Ranks of the algorithms for Friedman test of G-set dataset. by Md. Rafiqul Islam (403453)

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Pairwise comparisons and significance tests between algorithms for each regression metric. by Shikun Chen (14625352)

Optimization-Driven Steganographic System Based on Fused Maps and Blowfish Encryption by Ahmed Aljughaiman (21793526)

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The algorithm of the AWGE-ESPCA model. by Rui Miao (1592461)

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

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Roc curves for the ML algorithms applied to the test sample. by Gilson Yuuji Shimizu (19837946)

HIV testing algorithm KENPHIA 2018. by Raphael O. Ondondo (6429656)

A sinogram of the test sample before and after the dejitter algorithm. by Hannes Benecke (17409369)

Code and raw data used in this study. by Zhuolin Yang (14658411)

Performance of machine learning algorithms. by Wenxue Liu (6877754)

Imperialist competition algorithm with quasi-opposition-based learning for function optimization and engineering design problems by Dongge Lei (6836915)

Subjects: “…Imperialist competition algorithm…”

Figure 2 from DeePathNet: A Transformer-Based Deep Learning Model Integrating Multiomic Data with Cancer Pathways by Zhaoxiang Cai (20445441)

Reported MATLAB data code. by Jotham Josephat Kimondo (19139409)

Spatial spectrum of the 100th frame under array distortion conditions (20 elements). by Gaoxiang Xing (21755689)