Cloud Technologies, Operation and Training Project with Ocean Supercluster

CARIS is leading a project with the Ocean Supercluster for the development of new innovative cloud technology for delivering CARIS software applications in a Software-as-a-Service (SaaS) model. CARIS tools used worldwide for the processing and management of hydrographic data will be deployed over cloud services, lowering the capital costs through a SaaS subscription business model, […]

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Towards Automated Recommendations for Taxonomy Expansion

The partner organization is building a knowledge graph to integrate the knowledge in the SharePoint documents/pages of each domain, which will be used as the central information base to support various information retrieval tasks such as intelligent chatbots that can automatically identify relevant information. A critical element of the knowledge graph is a taxonomy of […]

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Animal identification and emotion detection using deep convolutional neural networks

According to a recent report, when it comes to animal protection laws Canada has not been performing adequately, receiving a grade of “D” on the Animal Protection Index (API). The low marks received were for not having adequate legislation protecting wildlife in captivity, working animals, farm animals, animals used in research and companion animals. At […]

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NLP-empowered Automation for Integrity Assessment in Legal Documents

Natural Language Processing (NLP) is a learning-based technique under the general scope of Artificial Intelligence (AI). NLP has shown its benefits in many application, including finance, accounting and auditing. Differing from semantic extraction in social media, text interpretation for auditing has the legal constraints, which is crucial in determining whether an invoice or a contract […]

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Behavioral mapping Using Machine Learning and Natural Language Processing to Predict Individual Behaviors and Team Dynamics

This project tackles the issue of knowledge incompleteness and lack of domain coverage in resume and job posting matching caused by the exploitation of domain-general resources. A variety of co-operative semantic/ontological resources will be used to filter out irrelevant resumes. A two-way (candidate to job and job to candidate) semantic-based automatic suitability ranking is proposed. […]

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Assistance tools to build taxonomy of skills and to search for experts

In many applications, we need to find the right person with the required expertise (skills) for some task. To enable this, it is necessary to extract and organize the skills of different persons in a taxonomy. This project aims at developing a taxonomy of skills for the National Bank of Canada. Currently, a small taxonomy […]

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Développement d’un prototype de modèle à base d’agents pour comprendre la construction de la mémoire collective au sein d’une communauté

Cette recherche vise à développer un outil prototype qui nous permettra de reconstruire les mémoires collectives des peuples indigènes et de comprendre leur approche vis-à-vis de la gestion des enjeux d’adaptation aux changements climatiques auxquels ils sont confrontés. La plupart des peuples indigènes cultivent la fidélité aux plus profondes mémoires qui à la fois relient […]

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Sentence Objectivity Analysis in Social Media

As more and more people record their lives and actions in Social Media, it has become an invaluable resource for the study of society’s opinions and sentiment. From individual life events (e.g., someone’s purchase of a digital camera) to collective events of major societal impact (e.g., the onset of the COVID-19 pandemic), social media has […]

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Data Anonymization for Medical Records

Data anonymization focuses on removing any personal or other information that would identify an individual or a set of persons from a given collection of records. In addition, anonymization should also mask information that could potentially be combined with other publicly available data to re-identify the individuals. This project aims to study data anonymization for […]

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