Linguistic Data Science for the Development of a Business Corpus

This project is dedicated to the development of a new business corpus as a novel data for the company’s business intelligence. It focuses on linguistic pre-processing for the business domain using two types of collected corpora: text and speech. An automatic annotation of the pre-processed business corpus will be completed using labels related to sentiment […]

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Optimizing Docto’s Predictive models using Machine Learning Techniques

The proposed research project aims to increase the accuracy of a model used to predict future glucose levels 1 hour ahead of time, with ~90% accuracy. This model should be able to detect, ahead of time, situations where the blood-glucose level is either too high or too low which could lead to complications for the […]

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Legal Question Answering with Bidirectional LSTMs

ROSS Intelligence enables legal professionals to find analyze legal issues and find hidden information and cuts down on research time by using artificial intelligence specialized in legal research. Recent advances in neural networks applied to natural language processing have brought results that are close to human performance in some tasks. However, this approach is still […]

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Automated Impact Analyses to Support Code Review Practices

Large software systems are updated incrementally to add new features or fix bugs. It is a common practice in the software industry to have each incremental change reviewed by a peer to detect software quality issues and transfer knowledge among team members. While peer review boasts technical and non-technical benefits, it is still primarily based […]

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Privacy Enhanced Decentralized Identity System

Currently, a number of public and private organizations have implemented various identity management solutions to manage authentication; authorization privileges of their users within or across system and enterprise boundaries. The idea of using a third party identity provider (IdP) to access a relying party (RP) is not new, and both RP and IdP have much […]

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Impacts of the Privacy and User Experience requirements on the implementation of the Identity Networks based on distributed Hashtrees

Nowadays, a number of public and private organizations have implemented various identity management solutions to manage authentication; authorization privileges of their users within or across system and enterprise boundaries. The idea of using a third party identity provider (IdP) to access a relying party (RP) is not new, and both RP and IdP have much […]

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Applying Machine Learning Techniques to the Identification and Correction of Anomalies in Transaction Sale Data

SAP provides software infrastructure and tools to help companies, big and small, realize their business. SAP Labs Montreal, focuses on supporting the consumer products industry. It provides these industries with the software infrastructure that allows its customers to run end-to-end processes including the capturing and analysis of sales transactions. Sales transactions include for example purchases […]

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The “CARE” (Clinical Analytics for Real-World Evidence) Platform

The healthcare industry is shifting from randomized controlled trials (RCTs) care to real world data (RWD) to understand how well an intervention performs in clinical practice. The best source of RWD is source data – that is, data that are collected at the interface of the patient and the health care system. The University of […]

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Intelligent Camera Switching

The “Intelligent Camera Switching” research project’s goal is to understand how multiple cameras can be utilized in a meeting space to ensure that remote participants have the best view of the people and activities that take place in the room. This “Best view” should be thought of as providing the best context for activities. A […]

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Using Analytics for the Optimization of Product Support Data

Enterprise Resource Planning (ERP) systems are used to store data records of activities underlying various business processes, from which Key Performance Indicators (KPI) are derived, providing visibility into the organization. How well the recorded information adheres to business processes and how well those are defined and implemented affect data quality, determining how KPIs accurately portray […]

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Learning robotic grasping for e-commerce sortation

We are conducting research on using techniques from Artificial Intelligence (specifically Machine Learning, Reinforcement learning, and computer vision) to automate the ability of a robotic arm equipped with a hand-like gripper to pick a wide variety of items. The robot uses the visual scene, provided through cameras, in order to choose which item to pick, […]

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