Arjen Hommersom

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Senior Lecturer, Department of Computer Science
Senior Lecturer, Research Line Resilience (part of LIRS program)

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15 Conference article in proceeding
9 Article
2 Chapter
1 Book editing
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Gaining Insight into Determinants of Physical Activity using Bayesian Network Learning
Tummers, S. C. M. W., Hommersom, A. J., Lechner, E. H. S., Bolman, C. A. & Bemelmans, R., 2020, BNAIC/BeneLearn 2020 : Proceedings. Cao, L., Kosters, W. & Lijffijt, J. (eds.). Leiden: Leiden University, p. 298- 312 15 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review

Open Access
File
157 Downloads (Pure)
Temporal Exceptional Model Mining Using Dynamic Bayesian Networks
Bueno, M. L. P., Hommersom, A. J. & Lucas, P. J. F., 2020, Advanced Analytics and Learning on Temporal Data: 5th ECML PKDD Workshop, AALTD 2020. Lemaire, V., Malinowski, S., Bagnall, A., Guyet, T., Tavenard, R. & Ifrim, G. (eds.). Springer International Publishing AG, p. 97-112 16 p. (Lecture Notes in Computer Science (LNCS) series).
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity
Liu, M., Stella, F., Hommersom, A., Lucas, P. J. F., Boer, L. & Bischoff, E., Apr 2019, In: Artificial Intelligence in Medicine. 95, p. 104-117 14 p.
Research output: Contribution to journal › Article › Academic › peer-review
A Data-Driven Exploration of Hypotheses on Disease Dynamics
Bueno, M. L. P., Hommersom, A., Lucas, P. J. F. & Janzing, J., 30 May 2019, Artificial Intelligence in Medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings. Riaño, D., Wilk, S. & ten Teije, A. (eds.). Cham: Springer International Publishing AG, p. 170-179 10 p. (Lecture Notes in Computer Science (LNCS), Vol. 11526).
Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-review
A probabilistic framework for predicting disease dynamics: A case study of psychotic depression
Bueno, M. L. P., Hommersom, A., Lucas, P. J. F. & Janzing, J., Jul 2019, In: Journal of Biomedical Informatics. 95, 12 p., 103232.
Research output: Contribution to journal › Article › Academic › peer-review

Best student paper award
Butz, R. (Recipient), Hommersom, Arjen (Recipient) & van Eekelen, Marko (Recipient), 2018
Prize: Prize (including medals and awards) › Academic

2 Editorial work book
2 PhD examination
1 Membership of committee
1 Invited talk

Time and Bayesian Networks
Arjen Hommersom (Supervisor)
30 Aug 2018
Activity: Examination types › PhD examination › Academic
Thirty-Third AAAI Conference on Artificial Intelligence (Event)
Arjen Hommersom (Member)
2018
Activity: Membership types › Membership of committee › Academic
Inference for Probabilistic Logic Programming with Continuous Distributions
Arjen Hommersom (Speaker)
7 Sep 2017
Activity: Talk or presentation types › Invited talk › Academic
Causal discovery from mixed and missing data with applications on ADHD datasets
Arjen Hommersom (Assessment committee member)
30 Oct 2017
Activity: Examination types › PhD examination › Academic
Springer Nature (Publisher)
Arjen Hommersom (Editor) & Peter J. F. Lucas (Editor)
2015
Activity: Publication peer-review and editorial work types › Editorial work book › Academic