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Claire Monteleoni
College of Engineering and Applied Science
Claire Monteleoni
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Machine Learning
Theory and algorithms  Â
Learning from data streams, non-stationary data, spatiotemporal data
Active, semi-supervised, and unsupervised learningÂ
Embeddings, sparsity, and high-dimensionality
Privacy-preserving machine learning
Applications
Climate science:Â
Sustainability: energy, environment, agriculture
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Climate Informatics
Service to Research Community
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