Enhance Impact of Researchers, Journals and Increase success for more citations حسب mahdi lotfipanah (6922457)

SHAP bar plot. حسب Meng Cao (105914)

"…Models based on NNET, RF, LR, and SVM algorithms were developed, achieving AUC of 0.918, 0.889, 0.872, and 0.760, respectively, on the test set. …"

Sample screening flowchart. حسب Meng Cao (105914)

"…Models based on NNET, RF, LR, and SVM algorithms were developed, achieving AUC of 0.918, 0.889, 0.872, and 0.760, respectively, on the test set. …"

Descriptive statistics for variables. حسب Meng Cao (105914)

"…Models based on NNET, RF, LR, and SVM algorithms were developed, achieving AUC of 0.918, 0.889, 0.872, and 0.760, respectively, on the test set. …"

SHAP summary plot. حسب Meng Cao (105914)

"…Models based on NNET, RF, LR, and SVM algorithms were developed, achieving AUC of 0.918, 0.889, 0.872, and 0.760, respectively, on the test set. …"

ROC curves for the test set of four models. حسب Meng Cao (105914)

"…Models based on NNET, RF, LR, and SVM algorithms were developed, achieving AUC of 0.918, 0.889, 0.872, and 0.760, respectively, on the test set. …"

Display of the web prediction interface. حسب Meng Cao (105914)

"…Models based on NNET, RF, LR, and SVM algorithms were developed, achieving AUC of 0.918, 0.889, 0.872, and 0.760, respectively, on the test set. …"

Efficient Regionalization for Spatially Explicit Neighborhood Delineation حسب Sergio Rey (8045333)

Efficient Regionalization for Spatially Explicit Neighborhood Delineation حسب Ran Wei (8707228)

Otago's Network for Engagement and Research: Mapping Academic Expertise and Connections حسب Sander Zwanenburg (8552102)

"…<br></div><div><br></div><div>In the next stage of the project, we will develop further the data integration schemes, enhance our algorithm to infer expertise based on this data, and update the interactive visualisation to reflect these inferences. …"

Minisymposterium: Muq-Hippylib: A Bayesian Inference Software Framework Integrating Data with Complex Predictive Models under Uncertainty حسب Ki-Tae Kim (10184066)

"…Recent years have seen a massive explosion of datasets across all areas of science, engineering, technology, medicine, and the social sciences. The central questions are: How do we optimally learn from data through the lens of models? …"

SI2-SSI: Integrating Data with Complex Predictive Models under Uncertainty: An Extensible Software Framework for Large-Scale Bayesian Inversion حسب Omar Ghattas (4387300)

"…<div>Recent years have seen a massive explosion of datasets across all areas of science, engineering, technology, medicine, and the social sciences. The central questions are: How do we optimally learn from data through the lens of models? …"

SI2-SSI: Integrating Data with Complex Predictive Models under Uncertainty: An Extensible Software Framework for Large-Scale Bayesian Inversion حسب Umberto Villa (8400192)

"…<div><div>Recent years have seen a massive explosion of datasets across all areas of science, engineering, technology, medicine, and the social sciences. The central questions are: How do we optimally learn from data through the lens of models? …"