Apprentissage d’une pondération dynamique des constituants d’une méthode d’ensemble

L’utilisation de méthodes d’ensemble, dont l’usage est très répandu, permet souvent d’obtenir des résultats de haute précision mais sont beaucoup plus difficilement interprétable que les modèles d’apprentissage automatique traditionnel (arbres, régressions logistique/linéaire, ect). De plus, les méthodes d’ensemble sont généralement appliquées de façon relativement naïve, avec des méthodes d’agrégations des estimateurs telle que la moyenne […]

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Augmenting Movies with Interactive Narrative Agent

Netflix recently released an interactive movie that brings the concept of interactive media from video games into movie form. In contrast to the passive viewing experience with conventional movies, the interaction brings viewers into the movie scenes for an immersive experience. However, existing interactive movies are still scripted. Though there have been proposals towards freeform […]

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Blockchain-based secure transaction logging system

Smart-city platform developed by B-CITI company stores sensitive information of platform users (citizens) in a database to provide them services. The proposed research project’s aim is to build a system that records each user interaction with the database. The records are immutable and, easily linkable and traceable. The records can be used as forensics evidence […]

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Cebas Fluid Solver

This project seeks to develop a fluid solver that is capable of simulating the interaction between low viscosity fluids and solid objects, such as pouring down water from a water pitcher onto the ground. Fluid effects such as splashing water are widely used in video game and film industry. As a visual effect solution provider, […]

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Study Renewal: Clinical Decision Support Software for Prediction of Postoperative Atrial Fibrillation Following Bypass Surgery

The problem of accurately predicting the onset of sustained postoperative atrial fibrillation (AF) in patients undergoing coronary artery bypass grafting (CABG) remains open. Investigators have reported many clinical indices currently associated with postoperative AF following CABG. Contemporary machine learning techniques are well-suited to recognizing underlying trends in ‘training’ data consisting of several labeled examples, and […]

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Measuring and Quantifying Mobile User Quality of Experience

The objective of this research is to develop an on-device, quality of experience (QoE) measurement suite, for Android based mobile devices. As mobile devices become the predominant method with which the world accesses the internet, it becomes increasingly important to understand the complex interaction between applications, mobile OS’s, the networks they run on, and the […]

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Privacy Analysis of Mobile Analytics

Many companies require the gathering of user behavioural data from mobile devices and device applications in order to: i) improve their products, ii) monitor their systems, iii) engage in targeted marketing, etc. Significant privacy concerns exist with the measurement and storage of such data. In general, existing research highlights that data anonymization can be insufficient […]

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Security Mechanisms for Mobile Cloud Computing

Cloud computing, with its low cost and scalability, is becoming more and more popular today. By outsourcing computation requirements to cloud, consumers as well as business entities can reduce their IT costs significantly while enjoying more and better services. Mobile devices are among the earliest to adopt this new computing paradigm due to their limited […]

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360 Live ID for Livestock

OneCup provides cattle management solutions to the livestock industry. Our AI is called BETSY – Bovine Expert Tracking and Surveillance. Using artificial intelligence, we put a rancher’s skillset into a device the size of a small book. With several types of cameras, BETSY can ID and track cattle activity 24×7. For example, she can track […]

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Marketing Business Analytics

Zoocasa has established itself as a thought-leader in the real estate industry by providing insights on market trends and search data/tools for Canadian consumers who are buying or selling real estate. This project will support the company’s focus on using data as a tool for decision making. This project will use technical solutions, such as […]

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Towards a Utility Framework for Enterprise Business Intelligence Mashups

Based on a deliberation of enterprise and end-user requirements for BI Mashups technologies and services, this project aims to formulate a utility framework for enterprise BI Mashups. The framework is expected to advance an understanding of business process requirements that can be satisfied through the use of enterprise BI Mashups, and also aid in the […]

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