The challenge of machine learning in space weather: Nowcasting and forecasting
E Camporeale - Space weather, 2019 - Wiley Online Library
The numerous recent breakthroughs in machine learning make imperative to carefully
ponder how the scientific community can benefit from a technology that, although not …
ponder how the scientific community can benefit from a technology that, although not …
Improving refugee integration through data-driven algorithmic assignment
Developed democracies are settling an increased number of refugees, many of whom face
challenges integrating into host societies. We developed a flexible data-driven algorithm that …
challenges integrating into host societies. We developed a flexible data-driven algorithm that …
[HTML][HTML] Using artificial intelligence to improve real-time decision-making for high-impact weather
Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather
in: Bulletin of the American Meteorological Society Volume 98 Issue 10 (2017) Jump to …
in: Bulletin of the American Meteorological Society Volume 98 Issue 10 (2017) Jump to …
Real-time scene text localization and recognition
An end-to-end real-time scene text localization and recognition method is presented. The
real-time performance is achieved by posing the character detection problem as an efficient …
real-time performance is achieved by posing the character detection problem as an efficient …
Prediction of students' early dropout based on their interaction logs in online learning environment
AA Mubarak, H Cao, W Zhang - Interactive Learning Environments, 2022 - Taylor & Francis
Online learning has become more popular in higher education since it adds convenience
and flexibility to students' schedule. But, it has faced difficulties in the retention of the …
and flexibility to students' schedule. But, it has faced difficulties in the retention of the …
Predicting good probabilities with supervised learning
We examine the relationship between the predictions made by different learning algorithms
and true posterior probabilities. We show that maximum margin methods such as boosted …
and true posterior probabilities. We show that maximum margin methods such as boosted …
A machine-learning approach to predicting Africa's electricity mix based on planned power plants and their chances of success
G Alova, PA Trotter, A Money - Nature Energy, 2021 - nature.com
Energy scenarios, relying on wide-ranging assumptions about the future, do not always
adequately reflect the lock-in risks caused by planned power-generation projects and the …
adequately reflect the lock-in risks caused by planned power-generation projects and the …
Identifying at-risk students in massive open online courses
Abstract Massive Open Online Courses (MOOCs) have received widespread attention for
their potential to scale higher education, with multiple platforms such as Coursera, edX and …
their potential to scale higher education, with multiple platforms such as Coursera, edX and …
A machine learning framework to identify students at risk of adverse academic outcomes
Many school districts have developed successful intervention programs to help students
graduate high school on time. However, identifying and prioritizing students who need those …
graduate high school on time. However, identifying and prioritizing students who need those …
A unified view of performance metrics: Translating threshold choice into expected classification loss
Many performance metrics have been introduced in the literature for the evaluation of
classification performance, each of them with different origins and areas of application …
classification performance, each of them with different origins and areas of application …