Search alternatives:
processing selection » process reflection (Expand Search)
robust optimization » process optimization (Expand Search), robust estimation (Expand Search), joint optimization (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search)
data processing » image processing (Expand Search)
binary most » binary mask (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
processing selection » process reflection (Expand Search)
robust optimization » process optimization (Expand Search), robust estimation (Expand Search), joint optimization (Expand Search)
selection algorithm » detection algorithm (Expand Search), detection algorithms (Expand Search)
data processing » image processing (Expand Search)
binary most » binary mask (Expand Search)
binary data » primary data (Expand Search), dietary data (Expand Search)
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81
PathOlOgics_RBCs Python Scripts.zip
Published 2023“…The optimal number that produced the most favourable results in the preliminary differentiation was determined to be 5, which was subsequently selected and utilized for this measurement.</p><p dir="ltr">To assess the consistency, diversity, and complexity of the processed data, the Uniform Manifold Approximation and Projection (UMAP) technique was employed to investigate the structural relationships among the various classes (see PathOlOgics_script_3; UMAP visualizations). …”
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82
Seed mix selection model
Published 2022“…</p> <p> </p> <p>We applied the seed mix selection model using a binary genetic algorithm to select seed mixes (R package ‘GA’; Scrucca 2013; Scrucca 2017). …”
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83
Multicategory Angle-Based Learning for Estimating Optimal Dynamic Treatment Regimes With Censored Data
Published 2021“…Specifically, the proposed method obtains the optimal DTR via integrating estimations of decision rules at multiple stages into a single multicategory classification algorithm without imposing additional constraints, which is also more computationally efficient and robust. …”
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84
DataSheet_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx
Published 2024“…Despite the increased complexity associated with binary classification, it remained more efficient, offering higher classification accuracy for samples and facilitating the selection of the most relevant time or variables, such as cooking time ≤ 30 minutes. …”
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85
Raw LC-MS/MS and RNA-Seq Mitochondria data
Published 2025“…The data were filtered as follows: (a) binary expression of a protein (i.e., protein exclusively identified in either scLRP1+/+ or scLRP1-/-) was only considered relevant if all scLRP1+/+ samples or all scLRP1-/- samples expressed the protein. …”
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86
Data for Exploring the Mechanism of Path-Creating Strategy for Latecomers: A Combined Approach of Econometrics and Causal Machine Learning
Published 2024“…TechCatchup-selected_features.xlsx is further processed data meet the requirements of binary classification and algorithm in the research. …”
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88
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90
Table_1_Near infrared spectroscopy for cooking time classification of cassava genotypes.docx
Published 2024“…Despite the increased complexity associated with binary classification, it remained more efficient, offering higher classification accuracy for samples and facilitating the selection of the most relevant time or variables, such as cooking time ≤ 30 minutes. …”
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91
Predictive Analysis of Mushroom Toxicity Based Exclusively on Their Natural Habitat.
Published 2025“…<br>The consistency of the results across different kernels demonstrates that the information contained in the habitat, by itself, leads to a very simple optimal decision rule (mostly the prediction of the most frequent class per habitat), which cannot be improved solely by model adjustments. …”
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92
GridScopeRodents: High-Resolution Global Typical Rodents Distribution Projections from 2021 to 2100 under Diverse SSP-RCP Scenarios
Published 2025“…</p><p dir="ltr">All data are stored in GeoTIFF (.tif) format and can be accessed and processed using ArcGIS, ENVI, R, and Python. …”
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93
Schematic overview of SINATRA Pro: A novel framework for discovering biophysical signatures that differentiate classes of proteins.
Published 2022“…We treat the resulting triangulated mesh as a simplicial complex with which we can perform topological data analysis. <b>(C)</b> We select initial positions uniformly on a unit sphere. …”
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94
Dataset.csv
Published 2023“…If the subject chooses any answer, the value will be substituted for 1 and 0 when not selected.</p> <p><br></p> <p>This process prepares the data in a format that is ready for analysis. …”
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95
Machine Learning-Ready Dataset for Cytotoxicity Prediction of Metal Oxide Nanoparticles
Published 2025“…Details on the data sourcing process, prompt engineering strategies for large language model (LLM)-based extraction, and validation protocols are provided in the Supplementary Information section.…”