Performance of different machine learning algorithms. by Apichat Suratanee (634281)

Structure of the Kuhn-Munkres Algorithm. by Qingnan Ji (22662198)

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A framework for improving localisation prediction algorithms. by Sven B. Gould (12237287)

“…The training data should ideally be collected from a range of diverse species and for each be based on different experimental techniques that support a training protein’s localisation (e.g. reporters, mass spectrometry, coexpression, interactions). …”

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Predicting CO₂ Solubility in Diverse Ionic Liquids: A Data-Driven Approach Using Machine Learning Algorithms by Zahra Bastami (21474755)

Accuracy of different electrical and optical neural networks for various input noise levels. by Reyhane Ahmadi (14857363)

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The relevant data file for this article. by Linsha Liu (20378293)

Accuracy of different electrical and optical neural network on Caltech and ETH-80 data sets. by Reyhane Ahmadi (14857363)

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

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

“…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…”

The errors of the predictions based on different algorithm methods. by Zhang Wei (317854)

“…<p>The errors of the predictions based on different algorithm methods.</p>…”

Comparison of feature-based and Uniform Manifold Approximation and Projection (UMAP)-based spike sorting for neuron classification. by Daniel Suárez-Barrera (22676654)

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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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Relevant computed image data. by Zhaoyu Ku (20660546)

Data Sheet 2_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.zip by Rui Zhang (13940)

“…Three methods were used for screening 100+ clinical indicators, and five machine learning algorithms were used to develop and evaluate diagnostic models based on the most relevant indicators.…”

Data Sheet 1_Machine learning algorithm based on combined clinical indicators for the prediction of infertility and pregnancy loss.docx by Rui Zhang (13940)

“…Three methods were used for screening 100+ clinical indicators, and five machine learning algorithms were used to develop and evaluate diagnostic models based on the most relevant indicators.…”

Performance comparison of different algorithms based on five indicators. by Yunyun Dong (6936965)

“…<p>Performance comparison of different algorithms based on five indicators.</p>…”

Fitness versus iterations based on different clustering algorithms. by Yiwei Zhao (2729758)

“…<p>Fitness versus iterations based on different clustering algorithms.</p>…”

Data and code resources. by Sam Hall-McMaster (10343795)

Summary of relevant works. by Bashir Olaniyi Sadiq (22478011)