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Arjen Hommersom

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20152019
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Fingerprint Dive into the research topics where Arjen Hommersom is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

Bayesian networks Engineering & Materials Science
Hidden Markov models Engineering & Materials Science
Unsupervised learning 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

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Research Output 2015 2019

  • 8 Conference article in proceeding
  • 7 Article
  • 1 Editorial

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 journalArticleAcademicpeer-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 proceedingConference article in proceedingAcademicpeer-review

Unsupervised learning
Hidden Markov models

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 journalArticleAcademicpeer-review

Depression
Unsupervised learning
Hidden Markov models
Clinical Trials
Learning

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 proceedingConference article in proceedingAcademicpeer-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 proceedingConference article in proceedingAcademicpeer-review

Data flow analysis
Learning systems
Static analysis
Classifiers

Prizes

Best student paper award

Raphaela Butz (Recipient), Arjen Hommersom (Recipient) & M.C.J.D. van Eekelen (Recipient), 2018

Prize: Prize (including medals and awards)Academic

Activities 2015 2018

  • 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 typesPhD examinationAcademic

Thirty-Third AAAI Conference on Artificial Intelligence (Event)

Arjen Hommersom (Member)
2018

Activity: Membership typesMembership of committeeAcademic

Inference for Probabilistic Logic Programming with Continuous Distributions

Arjen Hommersom (Speaker)
7 Sep 2017

Activity: Talk or presentation typesInvited talkAcademic

Causal discovery from mixed and missing data with applications on ADHD datasets

Arjen Hommersom (Assessment committee member)
30 Oct 2017

Activity: Examination typesPhD examinationAcademic

Springer International Publishing AG (Publisher)

Arjen Hommersom (Editor), Peter J. F. Lucas (Editor)
2015

Activity: Publication peer-review and editorial work typesEditorial work bookAcademic