Research Output per year
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
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Research Output 2015 2019
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
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 journal › Article › Academic › peer-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, 17Research 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. 6Research output: Chapter in Book/Report/Conference proceeding › Conference article in proceeding › Academic › peer-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
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 International Publishing AG (Publisher)
Arjen Hommersom (Editor), Peter J. F. Lucas (Editor)2015
Activity: Publication peer-review and editorial work types › Editorial work book › Academic