Le projet consiste :!l extraire, a partir d’un Ires grand vOlume de courriels, un vocabulaire structure qui pourra etre mis a profit pour I’elaboration d’une politique de retention et de controle. Plus precisement, des methodes seron! developpees pour I’extraction d’un ensemble de termes pertinents puis, dans un deuxieme temps, I’ensemble des relations pertinentes dans lesquelles […]

Deep learning has shown great success in a variety of tasks with large amounts of labeled data in image classification. These achievements have relied on the fact that optimization of these deep, high-capacity models requires many iterative updates across many labeled examples. This type of optimization breaks down in the small data regime where we […]

We will create new software technology for generating intelligent-looking movement behavior of virtual characters in video games. When characters move around in game worlds, they typically plan their path around fixed obstacles and use some simple rules to avoid dynamic obstacles, such as other characters. Recently a family of methods based on the concept of […]

Model-free Reinforcement Learning (RL) has recently demonstrated its great potential in solving difficult intelligent tasks. However, developing a successful RL model requires an extensive model tuning and tremendous training samples. Theoretical analysis of these RL methods, more specifically policy optimization methods, only stay in a simple setting where the learning happens in the policy space. […]

Skyplan Services Ltd. is a company active in the air traffic management domain. The company is interested in expanding their current working application by benefiting from advanced technology to develop an integrated environment and solutions for air traffic management in order to provide better service at the international arena. Students to be involved in this […]

Architectural design data have mostly been limited to visual representations, specifications and contractual documents. Today, design firms generate vastly more and diverse data, but lack adequate access to tools to gain insight from such data. Yet the field of “visual analytics” provides concepts and systems exactly for working with such data. The proposed research aims […]

This project aims to improve energy efficiency and conservation in commercial buildings through statistical modeling and data analysis. Computer software will be developed which can predict future building energy consumption, and assist in diagnosing misconfigured equipment and recommending ways to save energy within buildings. This project is joint work between Pulse Energy, a Vancouver-based company […]

The project will examine the use of pictograms – like the simplified pictures that appear on information signage – and other visual symbols in an audio-visual strategy to facilitate and enhance the use and learning of English as an additional language for Arabic-speaking Syrian refugees. The software for the project is PictoPages, whose development was […]

Computer vision has become part of our daily life with applications in surveillance cameras, medical imaging, self-driving cars, and so on. Recently, deep convolutional neural networks (CNNs) have shown substantial progress in many vision applications such as image recognition and object detection. Utilizing CNNs from 2012 have reduced the error of image recognition dramatically which […]

Machine learning approaches are transforming fields such as finance, healthcare, electronic commerce, social networks, and natural disaster forecasting. We propose collaborative research that develops novel methods and applications of machine learning techniques for event prediction, modeling relations between entities, and inference techniques that can impact these domains. In the context of event prediction, we will […]

The recent advances in machine learning based on deep neural networks, coupled with the availability of phenomenal storage capacity, are transforming the industrial landscape. However, these novel machine learning approaches are known to be data hungry, as they need to tune a huge number of parameters in order to perform well. As more and more […]

Mindfulness meditation has recently received considerable interest in clinical and in broader contexts for its mental health and cognitive benefits. It has been proposed that giving people feedback about their meditation relevant brain activity during or after meditation can help people learn this difficult skill, and initial work looks promising, but there are a number […]