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

"…Each Venn diagram of the top panel shows an overlap between predicted (left circles, colour-coded based on the algorithms used) and experimentally verified organelle proteomes (right circles, grey). …"

A framework for improving localisation prediction algorithms. حسب 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). …"

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

الموضوعات:

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

الموضوعات:

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

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

الموضوعات:

Comparative analysis of spike sorting using Uniform Manifold Approximation and Projection (UMAP) vs. feature-based methods in in vivo extracellular recordings. حسب Daniel Suárez-Barrera (22676654)

الموضوعات:

Experimental steps of modulation pattern recognition method based on IABLN algorithm. حسب Ting Xie (191025)

"…<p>Experimental steps of modulation pattern recognition method based on IABLN algorithm.…"

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

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

الموضوعات:

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

Statistical test of experimental results of NAFPSO and PSO algorithm. حسب Huichao Guo (14515171)

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

الموضوعات:

The source code of LazyAct. حسب Hongjie Zhang (136127)

"…However, the high computational cost of policies based on deep neural networks restricts their practical application. …"

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

الموضوعات:

The genome coding scheme. حسب Wenbing Shi (5806160)

الموضوعات:

Experimental results of NAFPSO algorithm with pipeline complexity of 0.7. حسب Huichao Guo (14515171)

Experimental results of NAFPSO algorithm with pipeline complexity of 0.5. حسب Huichao Guo (14515171)

Experimental results of NAFPSO algorithm with pipeline complexity of 0.6. حسب Huichao Guo (14515171)

Experimental design. حسب Sam Hall-McMaster (10343795)