Deep transfer learning techniques try to tackle the limitations of deep
...
Statistical methods such as the Box-Jenkins method for time-series
forec...
We propose a novel application of Transfer Learning to classify video-fr...
Equal Opportunity and Fairness are receiving increasing attention in
art...
Probabilistic Graphical Models (PGM) are very useful in the fields of ma...
Several algorithms and tools have been developed to (semi) automate the
...
In the big data era, scalability has become a crucial requirement for an...