prof. dr. ir. Thomas Demeester
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A critical look at studies applying over-sampling on the TPEHGDB dataset
(2019) ARTIFICIAL INTELLIGENCE IN MEDICINE, AIME 2019. In Lecture Notes in Artificial Intelligence 11526. p.355-364 -
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Time-to-birth prediction models and the influence of expert opinions
(2019) ARTIFICIAL INTELLIGENCE IN MEDICINE, AIME 2019. In Lecture Notes in Computer Science 11526. p.286-291 -
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Predicting suicide risk from online postings in Reddit : the UGent-IDLab submission to the CLPysch 2019 Shared Task A
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A self-training approach for short text clustering
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Neuro-Symbolic = Neural + Logical + Probabilistic
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Sub-event detection from Twitter streams as a sequence labeling problem
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- Journal Article
- A1
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Character-level recurrent neural networks in practice : comparing training and sampling schemes
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Predefined sparseness in recurrent sequence model
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Jack the reader : a machine reading framework
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DeepProbLog : neural probabilistic logic programming