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Not stated in source 2016 Needs review Available

Contributions on Deep Transfer Learning

Author
Chetak Kandaswamy
University
Not available
Country
Portugal
Main specialisation
AI in Healthcare › Convolutional Neural Networks

Machine Learning (ML) is reshaping our world by building machines that can see, read, listen, talk, and write (Marr, 2015).For example, imagine you want to eat your favorite food and ask a mobile app what are the nearby restaurants that serve your favorite foo…

Not stated in source 2016 Needs review Available

Domain Adaptation and Domain Generalization with Representation Learning

Author
Muhammad Ghifary
University
Not available
Country
New Zealand
Main specialisation
Computer Vision › Video Analysis

Machine learning has achieved great successes in the area of computer vision, especially in object recognition or classification. One of the core factors of the successes is the availability of massive labeled image or video data for training, collected manual…

Not stated in source 2016 Needs review

Modeling Vehicular Traffic Shock Wave with Machine Learning Approaches

Author
Ji‐Hyoung Kim
University
Not available
Country
United States
Main specialisation
Deep Learning & Neural Networks › Predictive Analytics & Time Series

The current trend of transforming old cities into smart cities has revealed many issues of the modern cities. One of the issues is the prevailing traffic jam on highways of the modern cities. The vehicular shock wave has been a problem on highways since it is…