Performance of algorithms outside the training species. by Sven B. Gould (12237287)

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

“…<p>Strategies to improve prediction reliability involve changes in the curation of the training data as well as the training procedure. 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). …”

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

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CY45-0.5/1#9 Code file for data processing and prediction results. by Yanhua Xian (21417128)

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Source Code and Dataset by Swathi Ganesan (14394924)

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

Experimental data of ZFD-Net algorithm for defects. by Yang Gao (18005)

“…<p>Experimental data of ZFD-Net algorithm for defects.</p>…”

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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Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings. 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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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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Encryption decryption algorithm experimental data set images. by Suresh Rasappan (20135850)

Dual deconvolution algorithm: analysis code with experimental data by Wonshik Choi (18877660)

“…<p dir="ltr">This software package provides key algorithms for dual-deconvolution microscopy analysis, along with both experimental and numerical data. …”

Comparison of experimental data from three different algorithms. by Xiaobing Chen (572034)

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<b>Robot_gripper_design</b> by Ma Haohao (19780875)

Influence of hyperparameters on experimental results in IST algorithm. by Ke Zhang (115386)

Experimental_DATA_RESULT by anonymous (18421854)

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

Main Experimental Parameters of Baseline Algorithms. by Ming Gao (115719)

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