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Skip to Search Results- 97Machine learning
- 12Data mining
- 9Artificial intelligence
- 5Reinforcement learning
- 3Game theory
- 3Natural language processing
- 4Hindle, Abram
- 4Mark A. Lewis
- 4Russell Greiner
- 3Noonari, Juned (Supervisor)
- 3Pouria Ramazi
- 2Fan, Chengkai
- 80Graduate and Postdoctoral Studies (GPS), Faculty of
- 80Graduate and Postdoctoral Studies (GPS), Faculty of /Theses and Dissertations
- 7Master of Science in Internetworking (MINT)
- 7Master of Science in Internetworking (MINT)/Capstone Projects & Reports (Master of Science in Internetworking (MINT))
- 5Biological Sciences, Department of
- 5Biological Sciences, Department of/Journal Articles (Biological Sciences)
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2019-12-10
Frishkopf, Michael, Papathanassoglou, Elizabeth, Hindle, Abram, Kutsogiannis, Demetrios
NFRF Exploration awarded in 2020: High stress levels, delirium, and sleep deprivation are common among critically-ill patients and may compromise recovery and survival as well as increase length and costs of hospital stays. Pharmacologic approaches are the usual mode of treatment for...
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Spring 2017
Optimizing an objective function over convex sets is a key problem in many different machine learning models. One of the various kinds of well studied objective functions is the convex function, where any local minimum must be the global mini- mum over the domain. To find the optimal point that...
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Breaking the wall of silence of trees Mining metabolomics to describe hybridization and predict performance in the Populus – Sphaerulina musiva pathosystem
DownloadFall 2017
Stem canker diseases in poplars caused by the fungal pathogen Sphaerulina musiva Peck. remain some of the least understood forest diseases despite causing considerable damage, particularly in hybrid poplar plantations. S. musiva is endemic to eastern Canada in provinces including the Maritimes,...
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Fall 2018
Cash is the most important resource at the disposal of a construction company, and management of cash has a direct impact on long- and short-term company performance. Accurately predicting the amount of cash-flow expected from particular construction operations, however, remains challenging due...
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Fall 2017
Massive amounts of user behavior logs and sensor data are generated on mobile devices, which can help to improve the usability of social media apps and other intelligent apps. However, collecting such personal data may spark privacy and legal concerns. Recently, many efforts in both academia and...
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2021-10-12
This project presents a website which is also a web application for data visualization and machine learning. This project contains three parts which are front-end website development (mainly focusing on HTML5, CSS3, bootstrap and JavaScript), back-end server (mainly working with database and...
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Spring 2016
One of the key obstacles to the effective use of mass spectrometry (MS) in high throughput metabolomics is the difficulty in interpreting measured spectra to accurately and efficiently identify metabolites. Traditional methods for automated metabolite identification compare the target MS spectrum...