artificial intelligence in medicine

[1] Depression recognition using machine learning methods with different feature generation strategies.

[2] Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data

[3] Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data

[4] an ensemble approach to knowledge-based intensity-modulated radiation therapy planning

[5] Novel Entropy and Rotation Forest-Based Credal Decision Tree Classifier for Landslide Susceptibility Modeling

[6] Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models

[7] An ensemble modeling framework to study the effects of climate change on the trophic state of shallow reservoirs.

[8] Thermodynamic state ensemble models of cis-regulation.

[9] A hybrid wavelet decomposer and GMDH-ELM ensemble model for Network function virtualization workload forecasting in cloud computing

[10] Ensemble modeling highlights importance of understanding parasite-host behavior in preclinical antimalarial drug development

[11] DELPHI: accurate deep ensemble model for protein interaction sites prediction.

[12] Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping

[13] Morphometric Analysis for Soil Erosion Susceptibility Mapping Using Novel GIS-Based Ensemble Model

[14] Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping

[15] one-step dynamic classifier ensemble model for customer value segmentation with missing values

[16] advanced ensemble modelling of flexible macromolecules using x-ray solution scattering

[17] New Ensemble Models for Shallow Landslide Susceptibility Modeling in a Semi-Arid Watershed