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Characterizing machine learning process: A maturity framework
Academic literature on machine learning modeling fails to address how to...
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Position Paper: Towards Transparent Machine Learning
Transparent machine learning is introduced as an alternative form of mac...
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Model Cards for Model Reporting
Trained machine learning models are increasingly used to perform high-im...
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Risk Assessment for Machine Learning Models
In this paper we propose a framework for assessing the risk associated w...
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Applications of deep learning in stock market prediction: recent progress
Stock market prediction has been a classical yet challenging problem, wi...
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Applying Deep Learning to Basketball Trajectories
One of the emerging trends for sports analytics is the growing use of pl...
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Certified Data Removal from Machine Learning Models
Good data stewardship requires removal of data at the request of the dat...
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Using Deep Learning and Machine Learning to Detect Epileptic Seizure with Electroencephalography (EEG) Data
The prediction of epileptic seizure has always been extremely challenging in medical domain. However, as the development of computer technology, the application of machine learning introduced new ideas for seizure forecasting. Applying machine learning model onto the predication of epileptic seizure could help us obtain a better result and there have been plenty of scientists who have been doing such works so that there are sufficient medical data provided for researchers to do training of machine learning models.
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