Ronilo Ragodos
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View article: GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping Open
The problem of forecasting spatiotemporal events such as crimes and accidents is crucial to public safety and city management. Besides accuracy, interpretability is also a key requirement for spatiotemporal forecasting models to justify th…
View article: GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models through Statistically-Guided Geo-Prototyping Open
The problem of forecasting spatiotemporal events such as crimes and accidents is crucial to public safety and city management. Besides accuracy, interpretability is also a key requirement for spatiotemporal forecasting models to justify th…
View article: Author Correction: Dental anomaly detection using intraoral photos via deep learning
Author Correction: Dental anomaly detection using intraoral photos via deep learning Open
View article: Dental anomaly detection using intraoral photos via deep learning
Dental anomaly detection using intraoral photos via deep learning Open
View article: Dental Anomaly Detection Using Intraoral Photos Via Deep Learning
Dental Anomaly Detection Using Intraoral Photos Via Deep Learning Open
Children with orofacial clefting (OFC) present with a wide range of dental anomalies. Identifying these anomalies is vital to understand their etiology and to discern the complex phenotypic spectrum of OFC. Such anomalies are currently ide…