Majid Komeili
Professor
Faculty of Science
School of Computer Science
Clusters:
Artificial intelligence
Ottawa, Ontario
majid.komeili@carleton.ca
Office:
(613) 520-2600 ext. 6098
Expert In
Bio/Research
Komeili is interested in interpretable machine learning, deep neural networks, and transfer learning. The goal is to create ML models with explainability in mind or to develop methods that can decipher existing black-box ML models. He is also interested in how ML models can learn to perform new t...
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Bio/Research
Komeili is interested in interpretable machine learning, deep neural networks, and transfer learning. The goal is to create ML models with explainability in mind or to develop methods that can decipher existing black-box ML models. He is also interested in how ML models can learn to perform new tasks with a limited amount of labeled data; a capability that human is very good at.
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