Desjardins General Insurance proposes different types of P&C (property and casualty) coverage to its clients. Properly rating an insurance premium to cover for P&C losses requires complex modelling that uses variables that are both at the individual and at the spatial level. In general, including a spatial component in the modelling is challenging. At Desjardins, […]

Like most living organisms, the life cycle of a business can be divided into distinct, complex phases. These life stages are determined by various internal and external factors such as financial resource availability, managerial ability, and market conditions. The ability to model firm life stages would help financial institutions (FIs) such as ATB identify and […]

An ongoing interdisciplinary project conducted in Argentina looks to understand how the population dynamics of sheep, and therefore livestock production, depends on individual behavior, climate, landscape structure and management in order to improve the design of sustainable management strategies aimed at solving real problems of animal production and conservation of natural resources. Data from a […]

Screening spontaneous reporting (SR) or electronic health records (EHR) data sets for adverse drug reactions (ADRs) has become an important component of drug safety. Much methodological work has been historically done on SR data, however, novel approaches are continually being suggested which merit critical review. Thus, we will first investigate some of these approaches as […]

Soil contamination by petroleum and other heavy hydrocarbons is a major environmental concern. One way to address it is the in situ thermal remediation technology: the contaminated soil is heated up with an array of large heating devices, thus accelerating evaporation of the contaminants and cleaning the soil in a matter of months. The goal […]

Les modèles de tarification actuels en assurance-automobile traitent les chapitres (responsabilité civile, collision responsable, bris de vitre, vol, etc.) comme étant complètement indépendants les uns des autres; la fréquence et le coût moyen des réclamations sont aussi généralement considérés comme indépendants! Notre objectif est d’explorer de nouveaux modèles de tarification qui tiennent compte du fait […]

Prediction of financial markets time series market direction is a challenging task mainly due to the unprecedented changes in economic trends and conditions in one hand and incomplete information on the other hand. Therefore, developing different forecasting, like LSTMs, have been employed by quantitative traders recently. Long Short Term Memory networks (LSTMs”) – are a […]

Global warming is a major issue faced by society nowadays and to fight it we need to be able to make global climate projections with less uncertainty. Despite numerous progresses in theoretical and computational modelling, there are still climatic phenomena that remain partially unresolved because of the coarseness of the grid resolutions used in global […]

Orthognathic surgery is a procedure used to correct facial deformities and is a mainstay treatment in the oral and maxillofacial surgery field. Another common procedure in the field of oral and maxillofacial surgery is dental implant surgery that is used to replace missing teeth. Currently, dental implants are one of the most preferred treatment options […]

The Firefighter Problem is a deterministic, discrete-time model of the spread of a fire on the nodes of a graph. If a graph is a network where bank accounts are nodes, then an edge between two accounts is a transaction between one bank account and another. Imagine we have a suspicious bank account with suspicious […]

Chaque jour, des decisions doivent etre prises quant a la quantite d’hydroelectricite produite au Quebec. Ces decisions reposent sur la prevision des apports en eau dans les bassins versants produite a l’aide de modeles hydrologiques. Ces modeles, qui transforment les precipitations en debits, prennent en compte plusieurs facteurs, dont notamment la presence ou l’absence de […]

Learners.ai is pioneering the application of a new approach for financial services and eCommerce firms to scale their products/services and accelerate revenue using a data-driven approach. The project “Scalable Reveune Operations for Learners.ai” is aimed at implementing the go-to-market strategy for a scalable Revenue Operations service created by Learners.ai after successfully delivering results several clients.