Name
Affiliation
Papers
ARJEN HOMMERSOM
Institute for Computing and Information Sciences, Radboud University Nijmegen,
47
Collaborators
Citations 
PageRank 
47
121
19.62
Referers 
Referees 
References 
309
815
477
Search Limit
100815
Title
Citations
PageRank
Year
A compositional approach to probabilistic knowledge compilation00.342021
Temporal Exceptional Model Mining Using Dynamic Bayesian Networks.00.342020
Probabilistic logic programming (PLP) 2016.00.342019
A probabilistic framework for predicting disease dynamics: a case study of psychotic depression.00.342019
A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity.00.342019
Making Continuous Time Bayesian Networks More Flexible.00.342018
Explaining the Most Probable Explanation.00.342018
Representing Hypoexponential Distributions in Continuous Time Bayesian Networks.00.342018
Modeling the Dynamics of Multiple Disease Occurrence by Latent States.00.342018
Asymmetric hidden Markov models.30.382017
Exploiting Experts' Knowledge for Structure Learning of Bayesian Networks.30.442017
Hybrid Time Bayesian Networks00.342017
An improved diagnostic method for probabilistic consistency-based diagnosis.00.342017
Approximate Probabilistic Inference with Bounded Error for Hybrid Probabilistic Logic Programming.00.342016
Measuring Adverse Drug Effects on Multimorbity using Tractable Bayesian Networks.00.342016
Toward Computing Conflict-Based Diagnoses in Probabilistic Logic Programming.00.342016
Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case.10.352016
Learning Parameters of Hybrid Time Bayesian Networks.00.342016
Understanding disease processes by partitioned dynamic Bayesian networks.20.372016
A new probabilistic constraint logic programming language based on a generalised distribution semantics50.442015
Imprecise Probabilistic Horn Clause Logic.10.342014
Qualitative chain graphs and their application.00.342014
Causal Independence Models For Continuous Time Bayesian Networks00.342014
Inference for a new probabilistic constraint logic30.422013
Understanding the Co-occurrence of Diseases Using Structure Learning.30.402013
MoSHCA - my mobile and smart health care assistant80.622013
A Decision Support Model for Uncertainty Reasoning in Safety and Security Tasks40.432013
Multilevel Bayesian networks for the analysis of hierarchical health care data.60.552013
Discovering Probabilistic Structures of Healthcare Processes10.362013
Probabilistic problem solving in biomedicine.00.342013
Probabilistic causal models of multimorbidity concepts.20.522012
Generalising the interaction rules in probabilistic logic90.562011
Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive30.392010
Toward probabilistic analysis of guidelines00.342010
Using model checking for critiquing based on clinical guidelines.150.802009
Integrating Logical Reasoning and Probabilistic Chain Graphs30.382009
Checking the quality of clinical guidelines using automated reasoning tools90.632008
Actions with Failures in Interval Temporal Logic00.342007
Verification of Medical Guidelines Using Background Knowledge in Task Networks170.862007
Combining task execution and background knowledge for the verification of medical guidelines00.342007
The Role of Model Checking in Critiquing Based on Clinical Guidelines60.482007
Verification of Medical Guidelines using Task Execution with Background Knowledge00.342006
Argumentation Systems for History-Based Construction of Medical Guidelines00.342005
Toward Reasoning about Security Protocols: A Semantic Approach00.342005
A history-based algebra for quality-checking medical guidelines10.412005
Update Semantics of Security Protocols70.592004
Meta-level Verification of the Quality of Medical Guidelines Using Interactive Theorem Proving90.772004