S1 (2009-2010)

The ability to adapt to changing environment autonomously will be essential for future robots. While this need is well-recognized, most machine learning research focuses largely on perception and static data sets. Instead, future robots need to interact with the environment … Read More

Geographic Information Retrieval systems rely on the identification of place names in documents to determine the region about which they are relevant. Extracting location names from text is a common Natural Language Processing task, a simple approach is to used … Read More

Automotive electronic is full of challenges. Engine controller units, executing millions of line code & performing decision making influenced by several parameters, is one of the most complex embedded device being used. In this presentation we explore the possibility of … Read More

Energy efficiency is presently a buzzword that has created new challenges and opportunities over several markets and industries. Buildings consumptions are known to be responsible for over 30% of the overall energy consumption in the world. Reducing facilities consumptions has … Read More

We take inspiration from recent research on sentiment analysis that interprets text based on the subjective attitude of the author.  We consider related tasks where a piece of text is interpreted to predict some extrinsic, real-valued outcome of interest that … Read More