Chest radiography is a common and essential examination tool in medical practice for the diagnosis of lung diseases. Recent approaches in artificial intelligence have demonstrated that transfer learning of deep learning models was able to provide performance gains at the level of practicing radiologists. These techniques transfer the features learned on ImageNet to medical data […]

The project includes three subprojects that are all of interest to Nokia to inform them of latest research in the area. The first subproject is to improve the features of the Ztitch mobile application that we developed, which has been downloaded more than 80,000 times. We will implement some algorithms to improve the stitching performance, […]

Founded in 2011, StreamScan is an organization specialized in computer security operational. The company is composed of several experts in the fields of management security incidents, intrusion detection, security audit, penetration testing, security governance, security breach detection and of artificial intelligence applied to cybersecurity. StreamScan’s expertise is used by many cyber-victimized organizations attacks. Its incident […]

This project investigates automobile purchasing behavior of female millennials. In order to achieve the goal of understanding and making use of purchasing behavior, data are to be collected, managed, and analyzed. In addition to using existing data and third-party data, two major tasks of data collection are the use of questionnaire and web crawling to […]

The first MITACS internship for this project focused on design of the “Be Kalm” Anxiety App. The second internship will focus on the programming, implementation, and evaluation of the resulting design. The App will combine several interactive methods of diffusing anxiety with the use of images, music and heart rate monitoring. The HeartBeats music player […]

Machine Learning is advancing at an astounding rate. It is powered by complex models such as deep neural networks (DNNs). These models have a wide range of real-world applications, in fields like Computer Vision, Natural Language Processing, Information Retrieval and others. But Machine Learning is not without some serious limitations and drawbacks. The most serious […]

Optimal Computational Algorithms, Inc. (OCA) provides the highest quality mathematical software possible. Our goal is to produce scientific software with nearoptimal performance on increasingly parallel systems, while assuring software correctness by construction. This research project continues a partnership with McMaster University, and individual internship projects will focus on extending OCA’s tools to target new computations […]

Neuroscience-inspired AI has emerged as state-of-the-art in many machine learning applications. Recurrent Neural Networks (RNNs) are a machine learning tool used to learn patterns in sequential (time-dependent) data which have also been used to model neural dynamics in the brain. Various frameworks have been developed to create RNNs capable of learning from data which have […]

The aim of this project is to improve the user experience of clients ordering online on one the portals of restaurants working with UEAT. This improvement will be in the form of smart recommendations based on the restaurant, time and the user themself. This will be done with an emphasis on respect for user privacy […]

Optimal trade execution is a well-known problem in quantitative finance. It helps financial actors who trade large quantities of a given asset minimize their risk and their adverse price impact. The problem’s complexity is multiplied when considering highly fragmented markets, such as those existing today for digital assets. The most recent advances in reinforcement learning […]

Data acquisition at scale implies missing values: in the biological signals as well as in the demographics and questionnaire data. These missing values are structured –missingness appears as blocks– and often causal –more missing health information for lower income individuals. While there are many works on the treatment of missing values in the clinical trial […]

This project will develop the protocols, standards and procedures to establish a digitized, virtual artifact repository, accessible online for research and public education, by establishing the processes for large scale digitization of the analyzable objects representing the full range of the compiled archaeological heritage from Ontario.