Medical image analysis methods require the use of effective representations for
differentiating between lesions, diseased regions, and normal structure. Amplitude …

Long-term object detection requires the integration of frame-based results over several
seconds. For non-deformable objects, long-term detection is often addressed using object …

Large scale training of Deep Learning methods requires significant computational
resources. The use of transfer learning methods tends to speed up learning while producing …

Speech recognition is very challenging in student learning environments that are
characterized by significant cross-talk and background noise. To address this problem, we …

We study the problem of detecting talking activities in collaborative learning videos. Our
approach uses head detection and projections of the log-magnitude of optical flow vectors to …

We introduce the problem of detecting a group of students from classroom videos. The
problem requires the detection of students from different angles and the separation of the …

The paper develops datasets and methods to assess student participation in real-life
collaborative learning environments. In collaborative learning environments, students are …

An active learning-type class is a class in which students take the initiative. In order to
improve active learning-type classes, attempts have been made to review the content after …

Large-scale training of Convolutional Neural Networks (CNN) is extremely demanding in
terms of computational resources. Also, for specific applications, the standard use of transfer …

The dissertation develops new methods for assessing student participation in long (> 1 hour)
classroom videos. First, the dissertation introduces the use of multiple image representations …