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Do not sleep on traditional machine learning simple and interpretable techniques are competitive to deep learning for sleep scoring
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INK : knowledge graph embeddings for node classification
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The web-based application 'QUiPP v.2' for the prediction of preterm birth in symptomatic women is not yet ready for worldwide clinical use : ten reflections on development, validation and use
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Training progression in recreational cyclists : no linear dose-response relationship with training load
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- Journal Article
- A1
- open access
GENDIS : genetic discovery of shapelets
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Explainable data mining for critical domains based on complex data structures
(2021) -
- Conference Paper
- P1
- open access
Walk extraction strategies for node embeddings with RDF2Vec in knowledge graphs
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Overly optimistic prediction results on imbalanced data : a case study of flaws and benefits when applying over-sampling
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Commentary: Automated detection of preterm condition using uterine electromyography based topological features
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- Journal Article
- A1
- open access
MINDWALC : mining interpretable, discriminative walks for classification of nodes in a knowledge graph
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- Journal Article
- A1
- open access
Clinical information extraction for preterm birth risk prediction
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- Conference Paper
- C1
- open access
Facilitating the analysis of COVID-19 literature through a knowledge graph
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- Journal Article
- A1
- open access
Data mining in the development of mobile health apps : assessing in-app navigation through Markov chain analysis
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Modeling the prediction of the session rating of perceived exertion in soccer : unraveling the puzzle of predictive indicators
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- Conference Paper
- P1
- open access
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 -
- Conference Paper
- P1
- open access
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 -
- Conference Paper
- C1
- open access
Inducing a decision tree with discriminative paths to classify entities in a knowledge graph
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Training progression in recreational cyclists : no linear dose-response relationship with training load
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- Journal Article
- A1
- open access
A decision support system to follow up and diagnose primary headache patients using semantically enriched data
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- Conference Paper
- C3
- open access
Assessing navigation in eHealth apps : a Markov chain analysis of the Start2Cycle app
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Towards an automated workout compliance model
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- Conference Paper
- P1
- open access
Predicting train occupancies based on query logs and external data sources
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Real-time data dissemination and analytics platform for challenging IoT environments
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- Conference Paper
- C3
- open access
Enhancing white-box machine learning processes by incorporating semantic background knowledge
(2017) p.267-278 -
- Conference Paper
- C1
- open access
Enabling training personalization by predicting the session rate of perceived exertion (sRPE)
(2017) p.1-12 -
- Conference Paper
- P1
- open access
A genetic algorithm for interpretable model extraction from decision tree ensembles
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- Conference Paper
- C1
- open access
GENESIM : genetic extraction of a single, interpretable model
(2016) p.1-6