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bayesian optimization » based optimization (Expand Search)
task bayesian » a bayesian (Expand Search), art bayesian (Expand Search), pac bayesian (Expand Search)
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less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
bayesian optimization » based optimization (Expand Search)
task bayesian » a bayesian (Expand Search), art bayesian (Expand Search), pac bayesian (Expand Search)
binary task » binary mask (Expand Search)
less based » lens based (Expand Search), lemos based (Expand Search), degs based (Expand Search)
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DataSheet_2_Predicting non-native seaweeds global distributions: The importance of tuning individual algorithms in ensembles to obtain biologically meaningful results.docx
Published 2022“…This study aims to predict the global distribution of five widespread introduced seaweed species by focusing on two mains aspects of the ensemble modeling process: (1) Does the enforcement of less complex models (in terms of number of predictors) help in obtaining better predictions? …”
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DataSheet_3_Predicting non-native seaweeds global distributions: The importance of tuning individual algorithms in ensembles to obtain biologically meaningful results.zip
Published 2022“…This study aims to predict the global distribution of five widespread introduced seaweed species by focusing on two mains aspects of the ensemble modeling process: (1) Does the enforcement of less complex models (in terms of number of predictors) help in obtaining better predictions? …”
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DataSheet_1_Predicting non-native seaweeds global distributions: The importance of tuning individual algorithms in ensembles to obtain biologically meaningful results.docx
Published 2022“…This study aims to predict the global distribution of five widespread introduced seaweed species by focusing on two mains aspects of the ensemble modeling process: (1) Does the enforcement of less complex models (in terms of number of predictors) help in obtaining better predictions? …”
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Image 1_A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression.tif
Published 2025“…</p>Methods<p>This paper proposes a displacement back-analysis (DBA) approach that utilizes support vector regression (SVR) optimized by differential evolution grey wolf algorithm (DE-GWO) to invert the RMMPs, which improves global optimization capability and inversion accuracy. …”
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Image 2_A novel inversion method of slope rock mechanical parameters using differential evolution gray wolf algorithm to optimize support vector regression.tif
Published 2025“…</p>Methods<p>This paper proposes a displacement back-analysis (DBA) approach that utilizes support vector regression (SVR) optimized by differential evolution grey wolf algorithm (DE-GWO) to invert the RMMPs, which improves global optimization capability and inversion accuracy. …”
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CNN-GRU based on GA.
Published 2025“…To solve the network intrusion problem faced by industrial control systems in the current global communication security environment, a network intrusion detection method based on genetic algorithm and improved convolutional neural network is proposed. …”
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A new GEE-based App called “Crop Mapper” for crop mapping
Published 2023“…</p> <p>The crop maps will be derived using the Random Forest machine learning algorithm and monthly gap-free Landsat Sentinel-2 time series data that was evaluated to be optimal and well documented in this paper. …”
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Table1_A distribution network planning method based on the integration of operation and planning and coordinated with the transmission network.XLSX
Published 2023“…Using a heterogeneous decomposition algorithm (HGD), the optimization model alternates between the two networks, assisted by injected parameters for global optimality. …”
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Data_Sheet_1_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX
Published 2020“…Results revealed distinct connectivity patterns from the two proposed methods, which were especially relevant in the age-related analyses where both ridge and random forest regressions showed significant patterns of age-related disconnection, almost completely absent from the much less sensitive global brain connectivity maps. On the other hand, the greater flexibility provided by the random forest algorithm allowed detecting sex-specific differences. …”
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Data_Sheet_2_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX
Published 2020“…Results revealed distinct connectivity patterns from the two proposed methods, which were especially relevant in the age-related analyses where both ridge and random forest regressions showed significant patterns of age-related disconnection, almost completely absent from the much less sensitive global brain connectivity maps. On the other hand, the greater flexibility provided by the random forest algorithm allowed detecting sex-specific differences. …”
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Data_Sheet_3_Multivariate Brain Functional Connectivity Through Regularized Estimators.DOCX
Published 2020“…Results revealed distinct connectivity patterns from the two proposed methods, which were especially relevant in the age-related analyses where both ridge and random forest regressions showed significant patterns of age-related disconnection, almost completely absent from the much less sensitive global brain connectivity maps. On the other hand, the greater flexibility provided by the random forest algorithm allowed detecting sex-specific differences. …”
