Improving Efficiency and Robustness of Model-based Reinforcement Learning

Model-based reinforcement learning allows AI systems to learn and use predictive models of their environments to plan ahead, achieving tasks more efficiently. The proposed project aims to (i) develop methods for identifying when an uncertain and/or flawed model can be relied on to make plans, and when it cannot, and (ii) implement a method which […]

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Digital Marketing and Sales Decision Optimization

Like many of their global compatriots, Canadian banks have embraced digital transformation, which enables their account holders to access and manage their accounts and investments online, allowing personalized service. This reality includes the needs of internal stakeholders as well as clients. Planning and implementation of Customer Relations Management and digital sales systems require new ways […]

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Visualization Analysis of eBus Routes and Facilities

The adoption and integration of electric buses (eBus) will have positive impacts on the efficiency of transportation services, on energy consumption and related environmental benefits as well as costs, In partnership with CUTRIC OCAD U will engage dynamic Visual Analytics and Design Science to support electric bus (eBus) implementation in Canada, allowing the careful tracking […]

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Toward Building a Technical Engineering Smart Search

Documentation is an integral part of any product development. Product and documentation should co-evolve; whenever the product is changed the documentation should be updated and vice versa. Yet, oftentimes, multiple documentation and product versions may exist; between and within the documentation of the product, relations and dependencies may or may not be explicit, documented, trustworthy […]

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Metamorphic Testing of Deep Neural Networks

Nowadays, we are witnessing a wide adoption of Machine learning (ML) models in many software systems. They are even being tested in safety-critical systems, thanks to recent breakthroughs in deep learning and reinforcement learning. Bombardier, a world leader company in the domain of aerospace have started integrating deep learning models in its products, systems and […]

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Automated Land Use and Land Cover (LULC) Classification for Hydrological Modelling and Physically-Based Inflow Forecasting

The problem considered in this work is how to produce highly accurate and consistent land-use/land-cover (LULC) maps significantly faster than current semi?automated methods for use by Manitoba Hydro. The goal is to improve the ability to produce maps quickly and efficiently as priority needs arise. This project will use an approach for automated LULC mapping […]

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Active Learning for Fish School Recognition in Echograms in the Bay of Fundy

OERA use hydroacoustic echosounder surveys to evaluate the impact on marine life of tidal turbines in the Bay of Fundy. OERA use Echoview software to read in the raw sensor data (e.g. voltages) and convert it to a visual representation. Echoview contains some algorithms to detect the bottom of the ocean. However, the Fundy data […]

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Wide-baseline Novel Scene Synthesis from a Single Image

Novel view synthesis is the process of generating new images from an unseen perspective, given at least one image of a scene. There may be more than one probable novel view associated with each unseen perspective, an assumption made by existing methods. This simplifying assumption prevents these methods from being applied to more difficult novel […]

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Improving the Reliability of AI Systems from a Software Engineering Perspective

Artificial Intelligence techniques have been widely applied to solve real-world challenges, from autonomous driving cars, to detecting diseases. With the popularity of 5G wireless network, more and more AI systems are being developed to provide convenient services to everyone. It is important to ensure the reliability and quality of AI systems from every phase in […]

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Traitement du langage et Résumé automatique de documents

Un résumé est un texte qui décrit de façon synthétique la forme, le contenu, et la thèse principale d’un ensemble de document. Une société comme la Fédération des caisses Desjardins reçoit énormément d’informations provenant de ses membres et clients, notamment via les sondages de satisfaction. Grâce à différentes méthodes de traitement automatique du langage nous […]

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Technologies innovantes pour une intelligence urbaine au service des citoyens

Le présent programme de R-D a pour objectif de développer des solutions novatrices – innovations technologiques et sociales – au sein d’un environnement interdisciplinaire (sciences urbaines) et plurisectoriel (université – entreprises – villes). Les projets se réaliseront dans le cadre d’un nouveau programme de maitrise sur mesure en intelligence urbaine chapeauté par la Faculté des […]

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