Peter J. F. Lucas

ORCID

Publication Activity (10 Years)

Years Active: 1993-2023
Publications (10 Years): 35

Top Venues

Int. J. Approx. Reason.

Artif. Intell. Medicine

J. Biomed. Informatics

CoRR

Publications

Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
Causal Discovery with Missing Data in a Multicentric Clinical Study. AIME (2023)
Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas, Marco Scutari, Fabio Stella
Towards a Transportable Causal Network Model Based on Observational Healthcare Data. CoRR (2023)
Juliane Müller-Sielaff, Seyed Behnam Beladi, Stephanie W. Vrede, Monique Meuschke, Peter J. F. Lucas, Johanna M. A. Pijnenborg, Steffen Oeltze-Jafra
Visual Assistance in Development and Validation of Bayesian Networks for Clinical Decision Support. IEEE Trans. Vis. Comput. Graph. 29 (8) (2023)
Diah Harnoni Apriyanti, Luuk J. Spreeuwers, Peter J. F. Lucas
Deep neural networks for explainable feature extraction in orchid identification. Appl. Intell. 53 (21) (2023)
Giso H. Dal, Alfons Laarman, Peter J. F. Lucas
ParaGnosis: A Tool for Parallel Knowledge Compilation. SPIN (2023)
Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
Causal Discovery with Missing Data in a Multicentric Clinical Study. CoRR (2023)
Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach. CoRR (2023)
Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas, Marco Scutari, Fabio Antonio Stella
Towards a Transportable Causal Network Model Based on Observational Healthcare Data. HC@AIxIA (2023)
Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
Risk Assessment of Lymph Node Metastasis in Endometrial Cancer Patients: A Causal Approach. HC@AIxIA (2022)
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)
Anna Kleinau, Alex Mo, Juliane Muller-Siela, Johanna M. A. Pijnenborg, Peter J. F. Lucas, Steffen Oeltze-Jafra
User-Centered Development of a Clinical Decision Support System. SMARTERCARE@AI*IA (2021)
Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas
Temporal Exceptional Model Mining Using Dynamic Bayesian Networks. AALTD@PKDD/ECML (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)
Giso H. Dal, Alfons W. Laarman, Peter J. F. Lucas
Parallel Probabilistic Inference by Weighted Model Counting. PGM (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)
Giso H. Dal, Peter J. F. Lucas
Weighted positive binary decision diagrams for exact probabilistic inference. Int. J. Approx. Reason. 90 (2017)
Peter J. F. Lucas, Giso H. Dal, Steffen Michels
Reducing the Cost of Probabilistic Knowledge Compilation. AMBN (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)
Giso H. Dal, Peter J. F. Lucas
Weighted Positive Binary Decision Diagrams for Exact Probabilistic Inference. CoRR (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)
Marina Velikova, Peter J. F. Lucas, Maarten van der Heijden
Intelligent Disease Self-Management with Mobile Technology. Computer 48 (2) (2015)
Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas
Hybrid Time Bayesian Networks. ECSQARU (2015)
Marina Velikova, Josien Terwisscha van Scheltinga, Peter J. F. Lucas, Marc Spaanderman
Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare. Int. J. Approx. Reason. 55 (1) (2014)
Maarten van der Heijden, Marina Velikova, Peter J. F. Lucas
Learning Bayesian networks for clinical time series analysis. J. Biomed. Informatics 48 (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)
Maarten van der Heijden, Peter J. F. Lucas, Bas Lijnse, Yvonne F. Heijdra, Tjard R. J. Schermer
An autonomous mobile system for the management of COPD. J. Biomed. Informatics 46 (3) (2013)
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)
Maarten van der Heijden, Peter J. F. Lucas
Describing disease processes using a probabilistic logic of qualitative time. Artif. Intell. Medicine 59 (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)
Marina Velikova, Peter J. F. Lucas, Maurice Samulski, Nico Karssemeijer
On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks. Artif. Intell. Medicine 57 (1) (2013)
Arjen Hommersom, Sicco Verwer, Peter J. F. Lucas
Discovering Probabilistic Structures of Healthcare Processes. KR4HC/ProHealth (2013)
Maarten van der Heijden, Peter J. F. Lucas
Probabilistic models for smart monitoring. CBMS (2012)
Martijn Lappenschaar, Arjen Hommersom, Peter J. F. Lucas
Probabilistic Causal Models of Multimorbidity Concepts. AMIA (2012)
Marina Velikova, Peter J. F. Lucas, Ruben L. Smeets, Josien Terwisscha van Scheltinga
Fully-automated interpretation of biochemical tests for decision support by smartphones. CBMS (2012)
Marina Velikova, Peter J. F. Lucas, Maurice Samulski, Nico Karssemeijer
A probabilistic framework for image information fusion with an application to mammographic analysis. Medical Image Anal. 16 (4) (2012)
Steffen Michels, Marina Velikova, Peter J. F. Lucas
Probabilistic Model-Based Assessment of Information Quality in Uncertain Domains. Australasian Conference on Artificial Intelligence (2012)
Maarten van der Heijden, Bas Lijnse, Peter J. F. Lucas, Yvonne F. Heijdra, Tjard R. J. Schermer
Managing COPD Exacerbations with Telemedicine. AIME (2011)
Arjen Hommersom, Peter J. F. Lucas
Generalising the Interaction Rules in Probabilistic Logic. IJCAI (2011)
Sander Evers, Peter J. F. Lucas
Marginalization without Summation Exploiting Determinism in Factor Algebra. ECSQARU (2011)
Marina Velikova, Peter J. F. Lucas, Marc Spaanderman
A Predictive Bayesian Network Model for Home Management of Preeclampsia. AIME (2011)
Marina Velikova, Peter J. F. Lucas, Nico Karssemeijer
Using Local Context Information to Improve Automatic Mammographic Mass Detection. MedInfo (2010)
Niels Radstake, Peter J. F. Lucas, Marina Velikova, Maurice Samulski
Critiquing Knowledge Representation in Medical Image Interpretation Using Structure Learning. KR4HC (2010)
Marina Velikova, Peter J. F. Lucas, Marc Spaanderman
e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders. eHealth (2010)
Saskia Robben, Marina Velikova, Peter J. F. Lucas, Maurice Samulski
Discretisation Does Affect the Performance of Bayesian Networks. SGAI Conf. (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)
Theodore Charitos, Linda C. van der Gaag, Stefan Visscher, Karin Schurink, Peter J. F. Lucas
A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. Expert Syst. Appl. 36 (2) (2009)
Maarten van der Heijden, Peter J. F. Lucas
Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systems. KR4HC (2009)
Marina Velikova, Maurice Samulski, Peter J. F. Lucas, Nico Karssemeijer
Causal Probabilistic Modelling for Two-View Mammographic Analysis. AIME (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)
Ildikó Flesch, Peter J. F. Lucas
The Probabilistic Interpretation of Model-Based Diagnosis. ECSQARU (2009)
Stefan Visscher, Peter J. F. Lucas, Carolina A. M. Schurink, Marc J. M. Bonten
Modelling treatment effects in a clinical Bayesian network using Boolean threshold functions. Artif. Intell. Medicine 46 (3) (2009)
Nivea de Carvalho Ferreira, Peter J. F. Lucas
Probabilistic relational modelling of mammographic images. CBMS (2009)
Nivea de Carvalho Ferreira, Peter J. F. Lucas
Modelling Screening Mammography Images: A Probabilistic Relational Approach. AIME (2009)
Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide
A generic qualitative characterization of independence of causal influence. Int. J. Approx. Reason. 48 (1) (2008)
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)
Ildikó Flesch, Peter J. F. Lucas
Combining Abduction with Conflict-based Diagnosis. ECAI (2008)
Marcel van Gerven, Babs G. Taal, Peter J. F. Lucas
Dynamic Bayesian networks as prognostic models for clinical patient management. J. Biomed. Informatics 41 (4) (2008)
Marina Velikova, Peter J. F. Lucas, Nivea de Carvalho Ferreira, Maurice Samulski, Nico Karssemeijer
A decision support system for breast cancer detection in screening programs. ECAI (2008)
Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel
Checking the Quality of Clinical Guidelines using Automated Reasoning Tools CoRR (2008)
Concha Bielza, Juan A. Fernández del Pozo, Peter J. F. Lucas
Explaining clinical decisions by extracting regularity patterns. Decis. Support Syst. 44 (2) (2008)
Marina Velikova, Maurice Samulski, Nico Karssemeijer, Peter J. F. Lucas
Toward Expert Knowledge Representation for Automatic Breast Cancer Detection. AIMSA (2008)
Marcel van Gerven, Francisco Javier Díez, Babs G. Taal, Peter J. F. Lucas
Selecting treatment strategies with dynamic limited-memory influence diagrams. Artif. Intell. Medicine 40 (3) (2007)
Maurice Samulski, Nico Karssemeijer, Peter J. F. Lucas, Perry Groot
Classification of mammographic masses using support vector machines and Bayesian networks. Medical Imaging: Computer-Aided Diagnosis (2007)
Marina Velikova, Nivea de Carvalho Ferreira, Peter J. F. Lucas
Bayesian Network Decomposition for Modeling Breast Cancer Detection. AIME (2007)
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)
Marcel van Gerven, Rasa Jurgelenaite, Babs G. Taal, Tom Heskes, Peter J. F. Lucas
Predicting carcinoid heart disease with the noisy-threshold classifier. Artif. Intell. Medicine 40 (1) (2007)
Ildikó Flesch, Peter J. F. Lucas
Independence Decomposition in Dynamic Bayesian Networks. ECSQARU (2007)
Ildikó Flesch, Peter J. F. Lucas, Theo P. van der Weide
Conflict-Based Diagnosis: Adding Uncertainty to Model-based Diagnosis. IJCAI (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)
Stefan Visscher, Peter J. F. Lucas, Ildikó Flesch, Karin Schurink
Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes. AIME (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)
Ildikó Flesch, Peter J. F. Lucas
Graphical Reasoning with Bayesian Networks. SGAI Conf. (2006)
Peter J. F. Lucas, José A. Gámez, Antonio Salmerón
Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. Int. J. Approx. Reason. 42 (1-2) (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)
Annette ten Teije, Mar Marcos, Michael Balser, Joyce van Croonenborg, Christoph Duelli, Frank van Harmelen, Peter J. F. Lucas, Silvia Miksch, Wolfgang Reif, Kitty Rosenbrand, Andreas Seyfang
Improving medical protocols by formal methods. Artif. Intell. Medicine 36 (3) (2006)
Stefan Visscher, Peter J. F. Lucas, Karin Schurink, Marc Bonten
Using a Bayesian-Network Model for the Analysis of Clinical Time-Series Data. AIME (2005)
Peter J. F. Lucas
Bayesian network modelling through qualitative patterns. Artif. Intell. 163 (2) (2005)
Rasa Jurgelenaite, Peter J. F. Lucas
Exploiting causal independence in large Bayesian networks. Knowl. Based Syst. 18 (4-5) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Peter J. F. Lucas