Search Results for author:
Found 5 papers, 0 papers with code
Quantitative Technology Forecasting: a Review of Trend Extrapolation Methods
A widely used approach in this field is trend extrapolation.
Spatio-Temporal Denoising Graph Autoencoders with Data Augmentation for Photovoltaic Timeseries Data Imputation
The integration of the global Photovoltaic (PV) market with real time data-loggers has enabled large scale PV data analytical pipelines for power forecasting and long-term reliability assessment of PV fleets.
Moore's law, Wright's law and the Countdown to Exponential Space
A frequently noted competitor to Moore's law is known as Wright's law, which has aeronautical roots.
Explaining an increase in predicted risk for clinical alerts
We consider explanations in a temporal setting where a stateful dynamical model produces a sequence of risk estimates given an input at each time step.
Scalable and accurate deep learning for electronic health records
Predictive modeling with electronic health record (EHR) data is anticipated to drive personalized medicine and improve healthcare quality.
