Link predicting in court

The company Lexum is an undisputed leader in the development of information retrieval tools for the law – statutes, regulations and decisions of courts and tribunals. The project is to improve a new tool offer by the company. The tool is used to retrieve a list of legal subjects from a factual description. With that […]

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Simplification of long sentences

The task of sentence simplification can present itself in multiple forms. It could consist in correcting the punctuation of a sentence like so: Avant : J’ai acheté un bateau je l’aime beaucoup. Après : J’ai acheté un bateau. Je l’aime beaucoup. However, a sentence can be both long and written correctly. In this case, it […]

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Electrical Load Forecasting

Load forecasting is an essential activity for a company like Hydro-Québec. It is necessary for objectives as varied as the management of production or the management and maintenance of the electricity network. Any significant forecasting error can result in reliability issues, loss of opportunity, or additional costs to the business. On the other hand, a […]

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Real-time object recognition on wearable devices

The goal of the project is to implement real-time state of the art object recognition models on wearable devices. These devices aim to help people living with a visual disability by providing a description of their outdoor environment and offer navigation guidance. This would improve the experience of the users by allowing them to perform […]

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Entre neurosciences et droit. Le cerveau adolescent moyen du laboratoire au tribunal

Le présent projet s’intéresse aux manières dont les savoirs neuroscientifiques sur le développement du cerveau moyen adolescent circulent des laboratoires de recherche aux tribunaux. Au cours des derniers mois, j’ai réalisé une série d’entretiens aux États-Unis auprès d’acteurs impliqués dans la construction et la diffusion de ces savoirs. Je souhaite à présent me rendre en […]

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Decoupling of the structural connectome in the elderly

In 2010, approximately 35.6 million people suffered from dementia around the world and the number is expected to double every 20 years. These alarming predictions call for a better understanding of the mechanisms underpinning cognitive decline in aging. One of the key cardiovascular risk factors for cognitive decline is arterial stiffening. My project involves the […]

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Outils de diagnostic et de prévention de l’insatisfaction des employés

La rotation de personnel est un problème majeur dans l’industrie des soins de santé à domicile. Dans un contexte où le travail des intervenants est particulièrement basé sur une relation de confiance avec les patients, la prévention de la rotation est déterminante pour le continuum et la qualité des soins prodigués. Perdre un infirmier ou […]

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Low Data Drug Discovery

The project aims to facilitate the research and development of new drugs by exploring Machine Learning methodology useful for both the generation of new molecules and the prediction of molecule properties. Doing so will involve training deep learning models on a large number of small, heterogeneous datasets, with the objective of transferring learned representations quickly […]

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Application mobile pour collecter en temps réel les données de blessures post-traumatiques des pompiers

Le personnel de sécurité publique, y compris les pompiers et les premiers répondants, peut être exposé à des événements troublants ou menaçants, tels que des blessés graves, des enfants décédés et des personnes en détresse. En moyenne, les pompiers assistent à environ huit différents événements potentiellement traumatiques au travail chaque année. Des blessures de stress […]

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Ketamine use among teenagers

Ketamine was developed primarily as an anaesthetic agent for use in pediatrics, oncology, and veterinary practice. However, soon after its development and wider availability, Ketamine became a commonly abused drug around the world, particularly in East Asia. Further, Ketamine use among adolescents and young adults increases rapidly in recent years, thus understanding the long-term consequences […]

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Predicting Scleral Lens Rotation Based on Corneoscleral Toricity

Patients with corneal disease often require treatment with scleral lenses. Unlike regular soft contact lenses, these lenses are much larger and have a space between the cornea and the lens that is filled with fluid before lens application. These lenses are extremely useful in cases of extremely ocular dryness and in patients with irregular corneas. […]

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