Bar chart for forward multi-step forecast. حسب Hairong Zheng (291979)

Radar map for forward multi-step forecast. حسب Hairong Zheng (291979)

Radar map for forward multi-step forecast. حسب Hairong Zheng (291979)

Bar chart for forward multi-step forecast. حسب Hairong Zheng (291979)

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

Distribution of plasma concentration of A) C3bc, B) Terminal complement complex (TCC), C) C-reactive protein (CRP) and D) D-dimer with visualization of their corresponding median a... حسب Vårin Eiriksdatter Wikan (22379134)

الموضوعات:

Flow diagram of included and excluded patients. حسب Vårin Eiriksdatter Wikan (22379134)

الموضوعات:

Cohen’s d effect sizes with 95% confidence intervals (CI) for between group comparisons (DVT and non-DVT) of C3bc, TCC, CRP, and D-dimer. حسب Vårin Eiriksdatter Wikan (22379134)

الموضوعات:

Receiver operating characteristics (ROC) curves and their area under the curve (AUC) for A) C3bc and terminal complement complex (TCC), B) C-reactive protein (CRP), C) D-dimer and... حسب Vårin Eiriksdatter Wikan (22379134)

الموضوعات:

Demographic and clinical characteristics of included patients. حسب Vårin Eiriksdatter Wikan (22379134)

الموضوعات:

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

"…The inferences reduction significantly decreases the time and FLOPs required by the <i>LazyAct</i> algorithm to complete tasks. Code is available here <a href="https://www.dropbox.com/scl/fo/wyoqo6q9gyt86zobfgbvx/h?…"

Multi-model fault diagnosis results. حسب Jizhong Wang (7441697)

a. How various statistical models account for modulation classification performance across the entire dataset. حسب Chris Scholes (3309477)

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

Visualization of the results of our method on different types of text instances, including multi-oriented, multi-lingual, and curved text. حسب Yuan Li (67017)

Comparison results of multi-classification. حسب Tao Yang (184280)

A machine learning framework enhanced by hybrid optimization for precise solar power generation prediction حسب Weibin Wang (1968658)

"…This study develops a solar power prediction model using machine learning, specifically employing a Multi-Layer Perceptron Regression model. Further refinement of the predictive performance of this model has been done by incorporating Tunicate Swarm Algorithm (TSA) and Sooty Tern Optimization Algorithm (STOA). …"

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:

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

الموضوعات:

Spatiotemporal spike sorting on multi-electrode array (MEA) data: Uniform Manifold Approximation and Projection (UMAP) vs. SpyKING CIRCUS (SC). حسب Daniel Suárez-Barrera (22676654)

الموضوعات: