Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Sean Stijven"'
Autor:
Dirk De Vos, Abdiravuf Dzhurakhalov, Sean Stijven, Przemyslaw Klosiewicz, Gerrit T. S. Beemster, Jan Broeckhove
Publikováno v:
Frontiers in Plant Science, Vol 8 (2017)
Motivation: Computational modeling of plant developmental processes is becoming increasingly important. Cellular resolution plant tissue simulators have been developed, yet they are typically describing physiological processes in an isolated way, str
Externí odkaz:
https://doaj.org/article/b5f11197b06147c0a1ebb32152dbdd78
Autor:
Lander Willem, Sean Stijven, Ekaterina Vladislavleva, Jan Broeckhove, Philippe Beutels, Niel Hens
Publikováno v:
PLoS Computational Biology, Vol 10, Iss 4, p e1003563 (2014)
Modeling plays a major role in policy making, especially for infectious disease interventions but such models can be complex and computationally intensive. A more systematic exploration is needed to gain a thorough systems understanding. We present a
Externí odkaz:
https://doaj.org/article/73f74cd4c41e4bc397be35bb27c6756d
Publikováno v:
ICCS
Procedia computer science
Procedia computer science
Individual-based models are convenient to study the spread of infectious diseases in combination with heterogeneous social mixing patterns. In this paper, we present an open-source and generic, individual-based simulator for the transmission of infec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1c60adcf5f10121de8a1d2cbbdf2d7c
https://doi.org/10.1016/j.procs.2017.05.086
https://doi.org/10.1016/j.procs.2017.05.086
Publikováno v:
Genetic Programming Theory and Practice XIII ISBN: 9783319342214
In this chapter we review a number of real-world applications where symbolic regression was used recently and with great success. Industrial scale symbolic regression armed with the power to select right variables and variable combinations, build rob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::de5e8c59c4700a5c8f4a3904f79741e1
https://doi.org/10.1007/978-3-319-34223-8_14
https://doi.org/10.1007/978-3-319-34223-8_14
Publikováno v:
BMC bioinformatics
BMC Bioinformatics
BMC Bioinformatics
Background: Infectious disease modeling and computational power have evolved such that large-scale agent-based models (ABMs) have become feasible. However, the increasing hardware complexity requires adapted software designs to achieve the full poten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6134399d646aecc53cf8787474658847
http://hdl.handle.net/1942/22809
http://hdl.handle.net/1942/22809
Autor:
Johan Decruyenaere, Joeri Ruyssinck, Filip De Turck, Joachim van der Herten, Ivo Couckuyt, Femke Ongenae, Tom Dhaene, Bram Gadeyne, Sean Stijven, Rein Houthooft, Kirsten Colpaert
Publikováno v:
ARTIFICIAL INTELLIGENCE IN MEDICINE
HighlightsA dataset of 14,480 critically ill patients within the ICU was collected.Machine learning models are constructed to predict patient length of stay and mortality.Prediction accuracy was improved by using a two-by-two classification grid.Prob
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8571a24fe337908f0d1a66b40ae018c2
https://hdl.handle.net/1854/LU-5971162
https://hdl.handle.net/1854/LU-5971162
Autor:
Mark Kotanchek, Kurt Vanmechelen, Sean Stijven, Jan Broeckhove, Ekaterina Vladislavleva, Ruben Van den Bossche
Publikováno v:
Genetic and Evolutionary Computation ISBN: 9781493903740
Infrastructure-as-a-Service (IaaS) cloud providers offer a number of different tariff structures. The user has to balance the flexibility of the often quoted pay-by-the-hour, fixed price (“on demand”) model against the lower-cost-per-hour rate of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bbdaf6e71d8c65edb0ff8a8f364cd2b
https://doi.org/10.1007/978-1-4939-0375-7_3
https://doi.org/10.1007/978-1-4939-0375-7_3
Autor:
Philippe Beutels, Lander Willem, Sean Stijven, Niel Hens, Jan Broeckhove, Ekaterina Vladislavleva
Publikováno v:
PLoS computational biology
PLoS Computational Biology, Vol 10, Iss 4, p e1003563 (2014)
PLOS COMPUTATIONAL BIOLOGY
PLoS Computational Biology
PLoS Computational Biology, Vol 10, Iss 4, p e1003563 (2014)
PLOS COMPUTATIONAL BIOLOGY
PLoS Computational Biology
Modeling plays a major role in policy making, especially for infectious disease interventions but such models can be complex and computationally intensive. A more systematic exploration is needed to gain a thorough systems understanding. We present a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::549ebd80466296e2bfa56c81753378ad
https://hdl.handle.net/10067/1170720151162165141
https://hdl.handle.net/10067/1170720151162165141
Publikováno v:
Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation (GECCO'11), July 12-16, Dublin, Ireland
GECCO (Companion)
GECCO (Companion)
Feature selection in high-dimensional data sets is an open problem with no universal satisfactory method available. In this paper we discuss the requirements for such a method with respect to the various aspects of feature importance and explore them
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::02e6844f1b1df09f5d944d9b1a32b47b
https://hdl.handle.net/10067/1247910151162165141
https://hdl.handle.net/10067/1247910151162165141