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Energy Disaggregation using Variational Autoencoders
Non-intrusive load monitoring (NILM) is a technique that uses a single s...
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Measuring Disentanglement: A Review of Metrics
Learning to disentangle and represent factors of variation in data is an...
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Bag-Level Aggregation for Multiple Instance Active Learning in Instance Classification Problems
A growing number of applications, e.g. video surveillance and medical im...
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Multiple Instance Learning: A Survey of Problem Characteristics and Applications
Multiple instance learning (MIL) is a form of weakly supervised learning...
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Feature Learning from Spectrograms for Assessment of Personality Traits
Several methods have recently been proposed to analyze speech and automa...
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Marc-André Carbonneau
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