dr. ir. Cedric De Boom
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Deep active inference for state estimation by learning from demonstration
(2018) p.1-2 -
Performance Characterization of Low-Latency Adaptive Streaming From Video Portals
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- journalArticle
- A1
- open access
Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales
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- conference
- C1
- open access
An HTTP/2 push-based framework for low-latency adaptive streaming through user profiling
(2018) p.1-5 -
- conference
- P1
- open access
Low-latency delivery of news-based video content
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- conference
- C1
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Learning to Grasp from a single demonstration
(2018) p.1-10 -
- dissertation
- open access
Representation learning for symbolic sequences
(2018) -
Large-scale user modeling with recurrent neural networks for music discovery on multiple time scales
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- conference
- C1
- open access
Lazy evaluation of convolutional filters
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- conference
- C1
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Learning representations for tweets through word embeddings
(2016)