Arjen Hommersom
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Exploiting experts’ knowledge for structure learning of Bayesian networks
H Amirkhani, M Rahmati, PJF Lucas, A Hommersom
IEEE transactions on pattern analysis and machine intelligence 39 (11), 2154 …, 2016
Multilevel temporal Bayesian networks can model longitudinal change in multimorbidity
M Lappenschaar, A Hommersom, PJF Lucas, J Lagro, S Visscher, ...
Journal of clinical epidemiology 66 (12), 1405-1416, 2013
Multilevel Bayesian networks for the analysis of hierarchical health care data
M Lappenschaar, A Hommersom, PJF Lucas, J Lagro, S Visscher
Artificial intelligence in medicine 57 (3), 171-183, 2013
Discovering software vulnerabilities using data-flow analysis and machine learning
J Kronjee, A Hommersom, H Vranken
Proceedings of the 13th international conference on availability …, 2018
MoSHCA-my mobile and smart health care assistant
A Hommersom, PJF Lucas, M Velikova, G Dal, J Bastos, J Rodriguez, ...
2013 IEEE 15th International Conference on e-Health Networking, Applications …, 2013
Verification of medical guidelines using background knowledge in task networks
A Hommersom, P Groot, PJF Lucas, M Balser, J Schmitt
IEEE Transactions on Knowledge and Data Engineering 19 (6), 832-846, 2007
Using model checking for critiquing based on clinical guidelines
P Groot, A Hommersom, PJF Lucas, RJ Merk, A ten Teije, F van Harmelen, ...
Artificial Intelligence in Medicine 46 (1), 19-36, 2009
Checking the quality of clinical guidelines using automated reasoning tools
A Hommersom, PJF Lucas, P Van Bommel
Theory and Practice of Logic Programming 8 (5-6), 611-641, 2008
Update semantics of security protocols
A Hommersom, JJ Meyer, E De Vink
Information, interaction and agency, 289-327, 2005
Adaptation of clinical practice guidelines.
P Groot, A Hommersom, PJF Lucas, A Ten Teije
Computer-based Medical Guidelines and Protocols, 121-139, 2008
Understanding disease processes by partitioned dynamic Bayesian networks
MLP Bueno, A Hommersom, PJF Lucas, M Lappenschaar, JGE Janzing
Journal of biomedical informatics 61, 283-297, 2016
A new probabilistic constraint logic programming language based on a generalised distribution semantics
S Michels, A Hommersom, PJF Lucas, M Velikova
Artificial Intelligence 228, 1-44, 2015
Probabilistic causal models of multimorbidity concepts
M Lappenschaar, A Hommersom, PJF Lucas
AMIA Annual Symposium Proceedings 2012, 475, 2012
Denial-of-service attacks on LoRaWAN
E Van Es, H Vranken, A Hommersom
Proceedings of the 13th International Conference on Availability …, 2018
A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity
M Liu, F Stella, A Hommersom, PJF Lucas, L Boer, E Bischoff
Artificial intelligence in medicine 95, 104-117, 2019
Meta-level verification of the quality of medical guidelines using interactive theorem proving
A Hommersom, P Lucas, M Balser
Logics in Artificial Intelligence: 9th European Conference, JELIA 2004 …, 2004
Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive.
A Hommersom, PJF Lucas
ECAI, 401-406, 2010
Hybrid time Bayesian networks
M Liu, A Hommersom, M van der Heijden, PJF Lucas
International Journal of Approximate Reasoning 80, 460-474, 2017
The role of model checking in critiquing based on clinical guidelines
P Groot, A Hommersom, P Lucas, R Serban, A Ten Teije, F Van Harmelen
Artificial Intelligence in Medicine: 11th Conference on Artificial …, 2007
Asymmetric hidden Markov models
MLP Bueno, A Hommersom, PJF Lucas, A Linard
International Journal of Approximate Reasoning 88, 169-191, 2017
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