Arjen Hommersom

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Bayesian networks Engineering & Materials Science

Data flow analysis Engineering & Materials Science

Inductive logic programming (ILP) Engineering & Materials Science

Learning systems Engineering & Materials Science

Pathology Engineering & Materials Science

Bayesian Networks Mathematics

Continuous Time Mathematics

Exponential distribution Mathematics

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Research Output 2016 2018

7 Conference article in proceeding
4 Article
1 Editorial

Denial-of-Service Attacks on LoRaWAN

van Es, E., Vranken, H. & Hommersom, A., 2018, Proceedings of the 13th International Conference on Availability, Reliability and Security. New York, NY, USA: acm, 17

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Discovering Software Vulnerabilities Using Data-flow Analysis and Machine Learning

Kronjee, J., Hommersom, A. & Vranken, H., 2018, Proceedings of the 13th International Conference on Availability, Reliability and Security. New York, NY, USA: acm, 10 p. 6

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Data flow analysis

Learning systems

Static analysis

Classifiers

Explaining the Most Probable Explanation

Butz, R., Hommersom, A. & van Eekelen, M., 2018, Scalable Uncertainty Management: 12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings. Ciucci, D., Pasi, G. & Vantaggi, B. (eds.). Cham: Springer International Publishing AG, p. 50-63 14 p. (Lecture Notes in Computer Science; vol. 11142).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Bayesian networks

Random variables

Decision making

Making Continuous Time Bayesian Networks More Flexible

Liu, M., Stella, F., Hommersom, A. & Lucas, P. J. F., 1 Nov 2018, Proceedings of the Ninth International Conference on Probabilistic Graphical Models. Kratochvíl, V. & Studený, M. (eds.). Prague, Czech Republic: PMLR, Vol. 72. p. 237-248 12 p. (Proceedings of Machine Learning Research).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Open Access

Bayesian Networks

Continuous Time

Exponential distribution

Unit of time

Immune System

Modeling the Dynamics of Multiple Disease Occurrence by Latent States

Bueno, M. L. P., Hommersom, A., Lucas, P. J. F., Lobo, M. & Rodrigues, P. P., 2018, Scalable Uncertainty Management: 12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings. Ciucci, D., Pasi, G. & Vantaggi, B. (eds.). Cham: Springer International Publishing AG, p. 93-107 15 p. (Lecture Notes in Computer Science; no. 11142).

Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Hidden Markov models

Health care

Health

Availability