publié le: 2022
Active learning (AL) attempts to maximize a model's performance gain while annotating the fewest samples possible. Deep learning (DL) is greedy for da...
In data mining, Frequent Itemsets Mining is a technique used in several domains with notable results. However, the large volume of data in modern data...
The devices forming Internet of Things (IoT) networks need to be re-programmed over the air, so that new features are added, software bugs or security...
publié le: 2020
The HTTP adaptive streaming technique opened the door to cope with the fluctuating network conditions during the streaming process by dynamically adju...
While there exists an abundance of open biomedical data, the lack of high-quality metadata makes it challenging for others to find relevant datasets a...
