Ghent University Academic Bibliography

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Modeling the prediction of the session rating of perceived exertion in soccer : unraveling the puzzle of predictive indicators

Youri Geurkink (UGent) , Gilles Vandewiele (UGent) , Maarten Lievens (UGent) , Filip De Turck (UGent) , Femke Ongenae (UGent) , Stijn Matthys (UGent) , Jan Boone (UGent) and Jan Bourgois (UGent)

(2019) INTERNATIONAL JOURNAL OF SPORTS PHYSIOLOGY AND PERFORMANCE. 14(6). p.841-846
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Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks

Tom Van Steenkiste (UGent) , Joeri Ruyssinck (UGent) , Leen De Baets (UGent) , Johan Decruyenaere (UGent) , Filip De Turck (UGent) , Femke Ongenae (UGent) and Tom Dhaene (UGent)

(2019) ARTIFICIAL INTELLIGENCE IN MEDICINE. 97. p.38-43
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Subset reasoning for event-based systems

Pieter Bonte (UGent) , Femke Ongenae (UGent) and Filip De Turck (UGent)

(2019) IEEE ACCESS. 7. p.107533-107549
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Using a serious game to reduce stress and anxiety in children with autism spectrum disorder

Stéphanie Carlier (UGent) , Sara Van der Paelt (UGent) , Femke Ongenae (UGent) , Femke De Backere (UGent) and Filip De Turck (UGent)

(2019) PROCEEDINGS OF THE 13TH EAI INTERNATIONAL CONFERENCE ON PERVASIVE COMPUTING TECHNOLOGIES FOR HEALTHCARE (PERVASIVEHEALTH 2019). In International Conference on Pervasive Computing Technologies for Healthcare p.452-461
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Data mining in the development of mobile health apps : assessing in-app navigation through Markov chain analysis

Jeroen Stragier (UGent) , Gilles Vandewiele (UGent) , Paulien Coppens, Femke Ongenae (UGent) , Wendy Van den Broeck, Filip De Turck (UGent) and Lieven De Marez (UGent)

(2019) JOURNAL OF MEDICAL INTERNET RESEARCH. 21(6).
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Time-to-birth prediction models and the influence of expert opinions

Gilles Vandewiele (UGent) , Isabelle Dehaene (UGent) , Olivier Janssens (UGent) , Femke Ongenae (UGent) , Femke De Backere (UGent) , Filip De Turck (UGent) , Kristien Roelens (UGent) , Sofie Van Hoecke (UGent) and Thomas Demeester (UGent)

(2019) ARTIFICIAL INTELLIGENCE IN MEDICINE, AIME 2019. In Lecture Notes in Computer Science 11526. p.286-291
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A critical look at studies applying over-sampling on the TPEHGDB dataset

Gilles Vandewiele (UGent) , Isabelle Dehaene (UGent) , Olivier Janssens (UGent) , Femke Ongenae (UGent) , Femke De Backere (UGent) , Filip De Turck (UGent) , Kristien Roelens (UGent) , Sofie Van Hoecke (UGent) and Thomas Demeester (UGent)

(2019) ARTIFICIAL INTELLIGENCE IN MEDICINE, AIME 2019. In Lecture Notes in Artificial Intelligence 11526. p.355-364
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Demonstration of a stream reasoning platform on low-end devices to enable personalized real-time cycling feedback

Mathias De Brouwer (UGent) , Femke Ongenae (UGent) and Filip De Turck (UGent)

(2019) The semantic web : ESWC 2019 satellite events. In Lecture Notes in Computer Science 11762. p.28-32
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Towards an automated workout compliance model

Jelle De Bock (UGent) , Gilles Vandewiele (UGent) , Steven Verstockt (UGent) , Femke Ongenae (UGent) and Filip De Turck (UGent)

(2018) World Congress of Performance Analysis of Sport XII ISPAS. p.53-62
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Towards a cascading reasoning framework to support responsive ambient-intelligent healthcare interventions

Mathias De Brouwer (UGent) , Femke Ongenae (UGent) , Pieter Bonte (UGent) and Filip De Turck (UGent)

(2018) SENSORS. 18(10).
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A query model for ontology-based event processing over RDF streams

Riccardo Tommasini, Pieter Bonte (UGent) , Emanuele Della Valle, Femke Ongenae (UGent) and Filip De Turck (UGent)

(2018) Knowledge engineering and knowledge management : 21st international conference, EKAW 2018 : proceedings. In Lecture Notes in Computer Science 11313. p.439-453
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A decision support system to follow up and diagnose primary headache patients using semantically enriched data

Gilles Vandewiele (UGent) , Femke De Backere (UGent) , Kiani Lannoye, Maarten Vanden Berghe, Olivier Janssens (UGent) , Sofie Van Hoecke (UGent) , Vincent Keereman (UGent) , Koen Paemeleire (UGent) , Femke Ongenae (UGent) and Filip De Turck (UGent)

(2018) BMC MEDICAL INFORMATICS AND DECISION MAKING. 18.
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Towards adaptive anomaly detection and root cause analysis by automated extraction of knowledge from risk analyses

Bram Steenwinckel (UGent) , Pieter Heyvaert (UGent) , Dieter De Paepe (UGent) , Olivier Janssens (UGent) , Sander Vanden Hautte (UGent) , Anastasia Dimou (UGent) , Filip De Turck (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2018) Proceedings of the 9th international semantic sensor networks workshop, co-located with 17th international semantic web conference (ISWC 2018). In CEUR Workshop Proceedings 2213. p.17-31
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Context-aware patient monitoring through sensor streams

Pieter Bonte (UGent) , Filip De Turck (UGent) and Femke Ongenae (UGent)

(2018) Proceedings of the ISWC 2018 posters & demonstrations, industry and blue sky ideas tracks, co-located with 17th international Semantic Web conference (ISWC 2018). In CEUR Workshop Proceedings 2180.
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Automated extraction of rules and knowledge from risk analyses : a ventilation unit demo

Bram Steenwinckel (UGent) , Pieter Heyvaert (UGent) , Dieter De Paepe (UGent) , Olivier Janssens (UGent) , Sander Vanden Hautte (UGent) , Anastasia Dimou (UGent) , Filip De Turck (UGent) , Sofie Van Hoecke (UGent) and Femke Ongenae (UGent)

(2018) Proceedings of the ISWC 2018 posters & demonstrations, industry and blue sky ideas tracks, co-located with 17th international Semantic Web conference (ISWC 2018). In CEUR Workshop Proceedings 2180.

Academic Bibliography

Modeling the prediction of the session rating of perceived exertion in soccer : unraveling the puzzle of predictive indicators

Accurate prediction of blood culture outcome in the intensive care unit using long short-term memory neural networks

Subset reasoning for event-based systems

Using a serious game to reduce stress and anxiety in children with autism spectrum disorder

Data mining in the development of mobile health apps : assessing in-app navigation through Markov chain analysis

Time-to-birth prediction models and the influence of expert opinions

A critical look at studies applying over-sampling on the TPEHGDB dataset

Demonstration of a stream reasoning platform on low-end devices to enable personalized real-time cycling feedback

Towards an automated workout compliance model

Towards a cascading reasoning framework to support responsive ambient-intelligent healthcare interventions

A query model for ontology-based event processing over RDF streams

A decision support system to follow up and diagnose primary headache patients using semantically enriched data

Towards adaptive anomaly detection and root cause analysis by automated extraction of knowledge from risk analyses

Context-aware patient monitoring through sensor streams

Automated extraction of rules and knowledge from risk analyses : a ventilation unit demo

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