We investigate the use of textual Internet conversations for detecting questions in spoken conversations. We compare the text-trained model with models trained on manuallylabeled,...
Improving the sample efficiency of reinforcement learning algorithms to scale up to larger and more realistic domains is a current research challenge in machine learning. Model-ba...
Detection of web attacks is an important issue in current defense-in-depth security framework. In this paper, we propose a novel general framework for adaptive and online detectio...
Wei Wang 0012, Florent Masseglia, Thomas Guyet, Re...
Most Internet services rely on the traditional client-server model, where the quality of services usually depends on the performance of those servers. In this paper, we propose a ...
Chei-Yol Kim, Sung-Hoon Sohn, Baik-Song Ahn, Gyu-I...
In this paper, we discuss the use of physiological data for quasi real-time adaptation in ITS. We present preliminary results where we analyze learners’ reactions while using a ...
Emmanuel G. Blanchard, Pierre Chalfoun, Claude Fra...