This paper treats tracking as a foreground/background classification problem and proposes an online semisupervised learning framework. Initialized with a small number of labeled ...
Using a specific machine learning technique, this paper proposes a way to identify suspicious statements during debugging. The technique is based on principles similar to Tarantul...
In this paper, the VEMUS platform is presented, as a novel approach for music tuition that focuses on beginner and intermediate students, typically aged from 9 to 15 years. This p...
George Tambouratzis, Kostas Perifanos, Iro Voulgar...
Deficiencies in the ability to map letters to sounds are currently considered to be the most likely early signs of dyslexia [4]. This has motivated the use of Literate, a compute...
Mikko Vilenius, Janne V. Kujala, Ulla Richardson, ...
Background: Bioactivity profiling using high-throughput in vitro assays can reduce the cost and time required for toxicological screening of environmental chemicals and can also r...
Richard Judson, Fathi Elloumi, R. Woodrow Setzer, ...