Tracing Cryptocurrency Laundering after Ransomware Attack

Cybercriminals are attacking vulnerable systems in all domains and demand ransoms to return their control [2]. This money is paid by anonymous payment systems such as cryptocurrency (e.g., bitcoin) to evade law enforcement [6]. Bitcoin transactions are irrefutable, which guarantees that once the ransom is paid, the money will not be charged back, unlike credit […]

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Trends in financial markets: Uncovering the distribution of intensity and duration

Representing the collective consensus of global prescriptions of value, financial markets represent a sophisticated and complex system of academic and practitioner study. Quantitative and systematic investment strategies seek to understand characteristics of the market, and design investment strategies to profit off of those market features. A persistent and well-known market feature, known as trend, represents […]

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Timing perception and modulation via transcutaneous vagus nerve stimulation (tVNS)

Timing and time perception is found to be modulated by different brain networks. Nowadays, many non-invasive instruments are widely used to stimulate the brain and among them is transcutaneous vagus nerve stimulation (tVNS), which is a painless and non-invasive technology that gives the ability of modulating brain networks including the ones that are involved in […]

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Design and Develop an AI-powered Financial Management Application in place of a Legacy Financial Planning Tool

Legacy Financial Canada Inc., the partner organization of this project, is a Toronto based financial planning and services firm incorporated in 2014. The company offers holistic comprehensive financial plans, services, and advice to reach the financial goals of their clients. Its uniquely customized solutions and services, taking a more distinct shape around the diverse needs […]

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Unsupervised Financial Fraud Detection Using Low-rank Recovery

The goal of this research is to give an effectively unsupervised financial fraud detection method, in which low rank recovery method is used to exploit intrinsic relationship of data samples. The benefits of our methods have several folds: (1) compared with classification-based methods, our methods can deal with the imbalance problem effectively; (2) by using […]

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Credit Scores Based on Deposit Account Data

The business partner is interested in finding ways to further automate small business lending and annual renewals. In recent years, with the improvement in efficient computing and data storage and movement, the use of deposit data in lending has become more prevalent in the industry. Within industry risk managers, it is widely accepted that deposit […]

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AI-based virtual assistant and fraud detection for the insurance industry

The insurance industry is a competitive sector that is expected to account for 3.1 percent of Canada’s Gross Domestic Product in 2021. Leading insurers are investigating how machine learning (ML) may enhance company operations and customer satisfaction as clients become more selective about personalizing their insurance purchases to their particular needs. AI chatbots have the […]

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Modèles d’apprentissage automatique pour la prédiction des prix des transactions énergétiques du Parquet d’Hydro Québec

Une des grandes difficultés pour les négociants du Parquet des transactions énergétiques à Hydro Québec est de prédire les prix des transactions, vu la nature volatile de ces derniers. Plusieurs données sont disponibles afin de permettre aux négociants de choisir leur stratégie. Parmi ces données se trouvent des données météorologiques, les facteurs géopolitiques, l’offre et […]

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Transactional Fraud Detection with Machine Learning

The rates of fraud attempts have been increasing dramatically since the beginning of the pandemic. Always trying to protect its members and clients, Desjardins is collaborating with researcher to improve the state of the arts in real time transactional frauds detection using sophisticated machine learning techniques.

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Development of gait detection algorithms for individuals with multiple sclerosis

Multiple sclerosis is a lifelong disease that affects the nerves of the body and causes lifelong disabilities including walking disabilities. This project aims to use smart insoles to provide clinicians with information about how patients impacted by multiple sclerosis walk. To do so, we will develop and test algorithms that use walking data from the […]

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Training of Neural Networks via Gradient Descent and Solvers

In Deep Learning, one of the most important determinants of the performance of a model is the training procedure used. The ideal training method produces a model that is accurate and fast, it should work on models of various sizes and be flexible enough to allow users to specify conditions they want the model to […]

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Artificial Intelligence in the Mortgage Industry

GreenFlow Financial, with the help of our intern, Mr. Nikhil is looking to develop an opportunity in the financial services and artificial intelligence space. This project will focus on demonstrating applicable technology and evaluating the possibility of eliminating banks and brokers to deliver a fast and reliable mortgage matching system to the market with the […]

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