Abstract: The invention relates to a method for automatically evaluating a candidate using a set of questions implemented by an automatic evaluation system, including a control module, a database, a user interface and a language model module. The method includes a first phase being iterative and includes, at each iteration, selecting a question, sending the selected question to the user interface, receiving a candidate's answer, requesting the language model module for an accuracy score reflecting the accuracy of the candidate's answer relatively to a model answer, and receiving the requested accuracy score. The iterative first phase is carried out until an accuracy score has been received. The method also includes a second phase that includes computing an evaluation score of the candidate using the received accuracy scores.

Abstract: A method for optimizing the detection of target cases in an imbalanced dataset, including generating a series of training datasets wherein the first training dataset includes an equal ratio of non-target cases and target cases and wherein the following training datasets of the series comprise a ratio of non-target to target cases that increases for each consecutive training dataset of the series. The method also includes training the machine learning model using the machine learning algorithm on each generated training datasets of the series of training datasets and recording the obtained performance score at each iteration, determining the maximum performance score among the recorded performance scores, determining the ratio of target to non-target cases for the determined maximum performance score, and training the machine learning model using the machine learning algorithm on a training dataset having the determined ratio of target to non-target cases to obtain an optimized model.

Abstract: A method for automatically providing an electronic training plan to each individual of a targeted group of individuals called “irregulars”, the targeted group including individuals who do not perform at least one activity on a periodic basis, the targeted group being a part of a larger group called set of individuals, the set of individuals including another group called “regulars”, disjointed from the group of irregulars and including individuals who do perform at least one activity on a periodic basis, each individual of the set of individuals being characterized by a set of physiological data and a set of medical data.

Abstract: Pages of a mobile web application may be configured and provided through the web application in conjunction with middleware. The middleware may provide a configuration page for an administrator to add, remove, and edit configurations of a static number of pages in the application. The content of a page (e.g., content artifacts) may be determined at the time the page is requested by a mobile device by retrieving the configuration associated with the device or user requesting the page. A system implementing the middleware may include a redirection module that provides the requested mobile page to a requesting mobile device, and the configuration page to a requesting non-mobile device.