Arjen Hommersom

Publication Activity (10 Years)

Years Active: 2004-2024
Publications (10 Years): 27

Top Topics

Logic Programming

Probabilistic Logic

Structure Learning

Top Venues

Int. J. Approx. Reason.

Probabilistic Graphical Models

Artif. Intell. Medicine

Publications

Raphaela Butz, Arjen Hommersom, Renée Schulz, Hans van Ditmarsch
Evaluating the Usefulness of Counterfactual Explanations from Bayesian Networks. Hum. Centric Intell. Syst. 4 (2) (2024)
Raphaela Butz, Renée Schulz, Arjen Hommersom, Marko C. J. D. van Eekelen
Investigating the understandability of XAI methods for enhanced user experience: When Bayesian network users became detectives. Artif. Intell. Medicine 134 (2022)
Raphaela Butz, Renée Schulz, Arjen Hommersom, Marko C. J. D. van Eekelen
What is understandable in Bayesian network explanations? CoRR (2021)
Giso H. Dal, Alfons W. Laarman, Arjen Hommersom, Peter J. F. Lucas
A compositional approach to probabilistic knowledge compilation. Int. J. Approx. Reason. 138 (2021)
Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas
Temporal Exceptional Model Mining Using Dynamic Bayesian Networks. AALTD@PKDD/ECML (2020)
Simone C. M. W. Tummers, Arjen Hommersom, Lilian Lechner, Catherine Bolman, Roger Bemelmans
Gaining Insight into Determinants of Physical Activity Using Bayesian Network Learning. BNAIC/BENELEARN (Selected Papers) (2020)
Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Joost G. E. Janzing
A Data-Driven Exploration of Hypotheses on Disease Dynamics. AIME (2019)
Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas, Lonneke Boer, Erik Bischoff
A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity. Artif. Intell. Medicine 95 (2019)
Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Joost G. E. Janzing
A probabilistic framework for predicting disease dynamics: A case study of psychotic depression. J. Biomed. Informatics 95 (2019)
Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Mariana Lobo, Pedro Pereira Rodrigues
Modeling the Dynamics of Multiple Disease Occurrence by Latent States. SUM (2018)
Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas
Representing Hypoexponential Distributions in Continuous Time Bayesian Networks. IPMU (3) (2018)
Raphaela Butz, Arjen Hommersom, Marko C. J. D. van Eekelen
Explaining the Most Probable Explanation. SUM (2018)
Eef van Es, Harald P. E. Vranken, Arjen Hommersom
Denial-of-Service Attacks on LoRaWAN. ARES (2018)
Arjen Hommersom, James Cussens
Probabilistic logic programming (PLP) 2016. Int. J. Approx. Reason. 96 (2018)
Jorrit Kronjee, Arjen Hommersom, Harald P. E. Vranken
Discovering software vulnerabilities using data-flow analysis and machine learning. ARES (2018)
Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas
Making Continuous Time Bayesian Networks More Flexible. PGM (2018)
Hossein Amirkhani, Mohammad Rahmati, Peter J. F. Lucas, Arjen Hommersom
Exploiting Experts' Knowledge for Structure Learning of Bayesian Networks. IEEE Trans. Pattern Anal. Mach. Intell. 39 (11) (2017)
Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas
Hybrid time Bayesian networks. Int. J. Approx. Reason. 80 (2017)
Simon Rabinowicz, Arjen Hommersom, Raphaela Butz, Matt Williams
A Prognostic Model of Glioblastoma Multiforme Using Survival Bayesian Networks. AIME (2017)
Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Alexis Linard
Asymmetric hidden Markov models. Int. J. Approx. Reason. 88 (2017)
Marcos Luiz de Paula Bueno, Arjen Hommersom, Peter J. F. Lucas
An improved diagnostic method for probabilistic consistency-based diagnosis. DX (2017)
Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas
Learning Parameters of Hybrid Time Bayesian Networks. Probabilistic Graphical Models (2016)
Jessa Bekker, Arjen Hommersom, Martijn Lappenschaar, Jesse Davis
Measuring Adverse Drug Effects on Multimorbity using Tractable Bayesian Networks. CoRR (2016)
Arjen Hommersom, Marcos L. P. Bueno
Toward Computing Conflict-Based Diagnoses in Probabilistic Logic Programming. PLP@ILP (2016)
Steffen Michels, Arjen Hommersom, Peter J. F. Lucas
Approximate Probabilistic Inference with Bounded Error for Hybrid Probabilistic Logic Programming. IJCAI (2016)
Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Sicco Verwer, Alexis Linard
Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case. Probabilistic Graphical Models (2016)
Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Martijn Lappenschaar, Joost G. E. Janzing
Understanding disease processes by partitioned dynamic Bayesian networks. J. Biomed. Informatics 61 (2016)
Steffen Michels, Arjen Hommersom, Peter J. F. Lucas, Marina Velikova
A new probabilistic constraint logic programming language based on a generalised distribution semantics. Artif. Intell. 228 (2015)
Tim Op De Beéck, Arjen Hommersom, Jan Van Haaren, Maarten van der Heijden, Jesse Davis, Peter J. F. Lucas, Lucy Overbeek, Iris Nagtegaal
Mining Hierarchical Pathology Data Using Inductive Logic Programming. AIME (2015)
Peter J. F. Lucas, Arjen Hommersom
Modeling the Interactions between Discrete and Continuous Causal Factors in Bayesian Networks. Int. J. Intell. Syst. 30 (3) (2015)
Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas
Hybrid Time Bayesian Networks. ECSQARU (2015)
Maarten van der Heijden, Arjen Hommersom
Causal Independence Models for Continuous Time Bayesian Networks. Probabilistic Graphical Models (2014)
Martijn Lappenschaar, Arjen Hommersom, Peter J. F. Lucas
Qualitative chain graphs and their application. Int. J. Approx. Reason. 55 (4) (2014)
Steffen Michels, Arjen Hommersom, Peter J. F. Lucas, Marina Velikova
Imprecise Probabilistic Horn Clause Logic. ECAI (2014)
Martijn Lappenschaar, Arjen Hommersom, Joep Lagro, Peter J. F. Lucas
Understanding the Co-occurrence of Diseases Using Structure Learning. AIME (2013)
Martijn Lappenschaar, Arjen Hommersom, Peter J. F. Lucas, Joep Lagro, Stefan Visscher
Multilevel Bayesian networks for the analysis of hierarchical health care data. Artif. Intell. Medicine 57 (3) (2013)
Steffen Michels, Arjen Hommersom, Peter J. F. Lucas, Marina Velikova, Pieter W. M. Koopman
Inference for a New Probabilistic Constraint Logic. IJCAI (2013)
Steffen Michels, Marina Velikova, Arjen Hommersom, Peter J. F. Lucas
A Decision Support Model for Uncertainty Reasoning in Safety and Security Tasks. SMC (2013)
Arjen Hommersom, Peter J. F. Lucas
Probabilistic problem solving in biomedicine. Artif. Intell. Medicine 57 (3) (2013)
Arjen Hommersom, Peter J. F. Lucas, Marina Velikova, Giso H. Dal, Joaquim Bastos, Jonathan Rodriguez, Marleen Germs, Henk Schwietert
MoSHCA - my mobile and smart health care assistant. Healthcom (2013)
Arjen Hommersom, Sicco Verwer, Peter J. F. Lucas
Discovering Probabilistic Structures of Healthcare Processes. KR4HC/ProHealth (2013)
Martijn Lappenschaar, Arjen Hommersom, Peter J. F. Lucas
Probabilistic Causal Models of Multimorbidity Concepts. AMIA (2012)
Arjen Hommersom, Peter J. F. Lucas
Generalising the Interaction Rules in Probabilistic Logic. IJCAI (2011)
Arjen Hommersom
Toward Probabilistic Analysis of Guidelines. KR4HC (2010)
Arjen Hommersom, Peter J. F. Lucas
Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive. ECAI (2010)
Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Robbert-Jan Merk, Annette ten Teije, Frank van Harmelen, Radu Serban
Using model checking for critiquing based on clinical guidelines. Artif. Intell. Medicine 46 (1) (2009)
Arjen Hommersom, Nivea de Carvalho Ferreira, Peter J. F. Lucas
Integrating Logical Reasoning and Probabilistic Chain Graphs. ECML/PKDD (1) (2009)
Arjen Hommersom, Peter J. F. Lucas, René Waarsing, Pieter W. M. Koopman
Applying Bayesian networks for intelligent adaptable printing systems. WISES (2009)
Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel
Checking the quality of clinical guidelines using automated reasoning tools. Theory Pract. Log. Program. 8 (5-6) (2008)
Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel
Checking the Quality of Clinical Guidelines using Automated Reasoning Tools CoRR (2008)
Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
Verification of Medical Guidelines Using Background Knowledge in Task Networks. IEEE Trans. Knowl. Data Eng. 19 (6) (2007)
Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Radu Serban, Annette ten Teije, Frank van Harmelen
The Role of Model Checking in Critiquing Based on Clinical Guidelines. AIME (2007)
Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
Combining task execution and background knowledge for the verification of medical guidelines. Knowl. Based Syst. 20 (2) (2007)
Arjen Hommersom, Peter J. F. Lucas
Actions with Failures in Interval Temporal Logic. CLIMA (2007)
Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
Verification of Medical Guidelines Using Task Execution with Background Knowledge. ECAI (2006)
Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
Combining Task Execution and Background Knowledge for the Verification of Medical Guidelines. SGAI Conf. (2006)
Arjen Hommersom, John-Jules Ch. Meyer, Erik P. de Vink
Toward Reasoning about Security Protocols: A Semantic Approach. Electron. Notes Theor. Comput. Sci. 126 (2005)
Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel
Argumentation Systems for History-Based Construction of Medical Guidelines. BNAIC (2005)
Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel, Theo P. van der Weide
A History-Based Algebra for Quality-Checking Medical Guidelines. AIME (2005)
Arjen Hommersom, John-Jules Ch. Meyer, Erik P. de Vink
Update Semantics of Security Protocols. Synth. 142 (2) (2004)
Arjen Hommersom, Peter J. F. Lucas, Michael Balser
Meta-level Verification of the Quality of Medical Guidelines Using Interactive Theorem Proving. JELIA (2004)