Peter J. F. Lucas

157 papers A* 4A 9B 24C 8Misc 2Journal 59Unranked 41

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	On the Relationship between Bayesian Networks and Probabilistic Structural Causal Models. CoRR Peter J. F. Lucas, Eleanora Zullo, Fabio Stella
2025	J	`jnl`	Explainable automated wild-orchid identification combining deep neural networks and Bayesian networks. Eng. Appl. Artif. Intell. Diah Harnoni Apriyanti, Luuk J. Spreeuwers, Peter J. F. Lucas
2025	J	`jnl`	Federated causal discovery with missing data in a multicentric study on endometrial cancer. J. Biomed. Informatics Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Anthony C. Constantinou
2024	J	`jnl`	Introduction to the special issue on IEEE CBMS 2022 mining healthcare: AI and machine learning for biomedicine. Artif. Intell. Medicine Rosa Sicilia, Linlin Shen, Alejandro Rodríguez González, KC Santosh, Peter J. F. Lucas
2023	B	`conf`	Causal Discovery with Missing Data in a Multicentric Clinical Study. AIME Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
2023	J	`jnl`	Causal Discovery with Missing Data in a Multicentric Clinical Study. CoRR Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
2023	J	`jnl`	Deep neural networks for explainable feature extraction in orchid identification. Appl. Intell. Diah Harnoni Apriyanti, Luuk J. Spreeuwers, Peter J. F. Lucas
2023	—	`conf`	ParaGnosis: A Tool for Parallel Knowledge Compilation. SPIN Giso H. Dal, Alfons Laarman, Peter J. F. Lucas
2023	J	`jnl`	Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach. CoRR Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
2023	—	`conf`	Towards a Transportable Causal Network Model Based on Observational Healthcare Data. HC@AIxIA Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas, Marco Scutari, Fabio Antonio Stella
2023	J	`jnl`	Towards a Transportable Causal Network Model Based on Observational Healthcare Data. CoRR Alice Bernasconi, Alessio Zanga, Peter J. F. Lucas, Marco Scutari, Fabio Stella
2023	J	`jnl`	Visual Assistance in Development and Validation of Bayesian Networks for Clinical Decision Support. IEEE Trans. Vis. Comput. Graph. Juliane Müller-Sielaff, Seyed Behnam Beladi, Stephanie W. Vrede, Monique Meuschke, Peter J. F. Lucas, Johanna M. A. Pijnenborg, Steffen Oeltze-Jafra
2022	—	`conf`	Risk Assessment of Lymph Node Metastasis in Endometrial Cancer Patients: A Causal Approach. HC@AIxIA Alessio Zanga, Alice Bernasconi, Peter J. F. Lucas, Hanny Pijnenborg, Casper Reijnen, Marco Scutari, Fabio Stella
2021	J	`jnl`	A compositional approach to probabilistic knowledge compilation. Int. J. Approx. Reason. Giso H. Dal, Alfons W. Laarman, Arjen Hommersom, Peter J. F. Lucas
2021	—	`conf`	User-Centered Development of a Clinical Decision Support System. SMARTERCARE@AI*IA Anna Kleinau, Alex Mo, Juliane Müller-Sielaff, Johanna M. A. Pijnenborg, Peter J. F. Lucas, Steffen Oeltze-Jafra
2020	—	`conf`	Temporal Exceptional Model Mining Using Dynamic Bayesian Networks. AALTD@PKDD/ECML Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas
2019	B	`conf`	A Data-Driven Exploration of Hypotheses on Disease Dynamics. AIME Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Joost G. E. Janzing
2019	J	`jnl`	A comparison between discrete and continuous time Bayesian networks in learning from clinical time series data with irregularity. Artif. Intell. Medicine Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas, Lonneke Boer, Erik Bischoff
2019	J	`jnl`	A probabilistic framework for predicting disease dynamics: A case study of psychotic depression. J. Biomed. Informatics Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Joost G. E. Janzing
2018	—	`conf`	Making Continuous Time Bayesian Networks More Flexible. PGM Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas
2018	—	`conf`	Modeling the Dynamics of Multiple Disease Occurrence by Latent States. SUM Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Mariana Lobo, Pedro Pereira Rodrigues
2018	—	`conf`	Parallel Probabilistic Inference by Weighted Model Counting. PGM Giso H. Dal, Alfons W. Laarman, Peter J. F. Lucas
2018	—	`conf`	Representing Hypoexponential Distributions in Continuous Time Bayesian Networks. IPMU (3) Manxia Liu, Fabio Stella, Arjen Hommersom, Peter J. F. Lucas
2017	C	`conf`	An improved diagnostic method for probabilistic consistency-based diagnosis. DX Marcos Luiz de Paula Bueno, Arjen Hommersom, Peter J. F. Lucas
2017	J	`jnl`	Asymmetric hidden Markov models. Int. J. Approx. Reason. Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Alexis Linard
2017	J	`jnl`	Exploiting Experts' Knowledge for Structure Learning of Bayesian Networks. IEEE Trans. Pattern Anal. Mach. Intell. Hossein Amirkhani, Mohammad Rahmati, Peter J. F. Lucas, Arjen Hommersom
2017	J	`jnl`	Hybrid time Bayesian networks. Int. J. Approx. Reason. Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas
2017	—	`conf`	Reducing the Cost of Probabilistic Knowledge Compilation. AMBN Peter J. F. Lucas, Giso H. Dal, Steffen Michels
2017	J	`jnl`	Weighted positive binary decision diagrams for exact probabilistic inference. Int. J. Approx. Reason. Giso H. Dal, Peter J. F. Lucas
2016	A*	`conf`	Approximate Probabilistic Inference with Bounded Error for Hybrid Probabilistic Logic Programming. IJCAI Steffen Michels, Arjen Hommersom, Peter J. F. Lucas
2016	—	`conf`	Learning Complex Uncertain States Changes via Asymmetric Hidden Markov Models: an Industrial Case. Probabilistic Graphical Models Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Sicco Verwer, Alexis Linard
2016	—	`conf`	Learning Parameters of Hybrid Time Bayesian Networks. Probabilistic Graphical Models Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas
2016	J	`jnl`	Understanding disease processes by partitioned dynamic Bayesian networks. J. Biomed. Informatics Marcos L. P. Bueno, Arjen Hommersom, Peter J. F. Lucas, Martijn Lappenschaar, Joost G. E. Janzing
2016	J	`jnl`	Weighted Positive Binary Decision Diagrams for Exact Probabilistic Inference. CoRR Giso H. Dal, Peter J. F. Lucas
2015	J	`jnl`	A new probabilistic constraint logic programming language based on a generalised distribution semantics. Artif. Intell. Steffen Michels, Arjen Hommersom, Peter J. F. Lucas, Marina Velikova
2015	—	`ch.`	An Introduction to Knowledge Representation and Reasoning in Healthcare. Foundations of Biomedical Knowledge Representation Arjen Hommersom, Peter J. F. Lucas
2015	—	`book`	Foundations of Biomedical Knowledge Representation - Methods and Applications Foundations of Biomedical Knowledge Representation Arjen Hommersom, Peter J. F. Lucas
2015	—	`ch.`	How to Read the Book "Foundations of Biomedical Knowledge Representation". Foundations of Biomedical Knowledge Representation Peter J. F. Lucas, Arjen Hommersom
2015	C	`conf`	Hybrid Time Bayesian Networks. ECSQARU Manxia Liu, Arjen Hommersom, Maarten van der Heijden, Peter J. F. Lucas
2015	J	`jnl`	Intelligent Disease Self-Management with Mobile Technology. Computer Marina Velikova, Peter J. F. Lucas, Maarten van der Heijden
2015	B	`conf`	Mining Hierarchical Pathology Data Using Inductive Logic Programming. AIME Tim Op De Beéck, Arjen Hommersom, Jan Van Haaren, Maarten van der Heijden, Jesse Davis, Peter J. F. Lucas, Lucy Overbeek, Iris Nagtegaal
2015	J	`jnl`	Modeling the Interactions between Discrete and Continuous Causal Factors in Bayesian Networks. Int. J. Intell. Syst. Peter J. F. Lucas, Arjen Hommersom
2015	—	`ch.`	Representing Knowledge for Clinical Diagnostic Reasoning. Foundations of Biomedical Knowledge Representation Peter J. F. Lucas, Felipe Orihuela-Espina
2014	J	`jnl`	Exploiting causal functional relationships in Bayesian network modelling for personalised healthcare. Int. J. Approx. Reason. Marina Velikova, Josien Terwisscha van Scheltinga, Peter J. F. Lucas, Marc Spaanderman
2014	A	`conf`	Imprecise Probabilistic Horn Clause Logic. ECAI Steffen Michels, Arjen Hommersom, Peter J. F. Lucas, Marina Velikova
2014	J	`jnl`	Learning Bayesian networks for clinical time series analysis. J. Biomed. Informatics Maarten van der Heijden, Marina Velikova, Peter J. F. Lucas
2014	J	`jnl`	Qualitative chain graphs and their application. Int. J. Approx. Reason. Martijn Lappenschaar, Arjen Hommersom, Peter J. F. Lucas
2013	B	`conf`	A Decision Support Model for Uncertainty Reasoning in Safety and Security Tasks. SMC Steffen Michels, Marina Velikova, Arjen Hommersom, Peter J. F. Lucas
2013	J	`jnl`	An autonomous mobile system for the management of COPD. J. Biomed. Informatics Maarten van der Heijden, Peter J. F. Lucas, Bas Lijnse, Yvonne F. Heijdra, Tjard R. J. Schermer
2013	J	`jnl`	Describing disease processes using a probabilistic logic of qualitative time. Artif. Intell. Medicine Maarten van der Heijden, Peter J. F. Lucas
2013	—	`conf`	Discovering Probabilistic Structures of Healthcare Processes. KR4HC/ProHealth Arjen Hommersom, Sicco Verwer, Peter J. F. Lucas
2013	A*	`conf`	Inference for a New Probabilistic Constraint Logic. IJCAI Steffen Michels, Arjen Hommersom, Peter J. F. Lucas, Marina Velikova, Pieter W. M. Koopman
2013	C	`conf`	MoSHCA - my mobile and smart health care assistant. Healthcom Arjen Hommersom, Peter J. F. Lucas, Marina Velikova, Giso H. Dal, Joaquim Bastos, Jonathan Rodriguez, Marleen Germs, Henk Schwietert
2013	J	`jnl`	Multilevel Bayesian networks for the analysis of hierarchical health care data. Artif. Intell. Medicine Martijn Lappenschaar, Arjen Hommersom, Peter J. F. Lucas, Joep Lagro, Stefan Visscher
2013	J	`jnl`	On the interplay of machine learning and background knowledge in image interpretation by Bayesian networks. Artif. Intell. Medicine Marina Velikova, Peter J. F. Lucas, Maurice Samulski, Nico Karssemeijer
2013	J	`jnl`	Probabilistic problem solving in biomedicine. Artif. Intell. Medicine Arjen Hommersom, Peter J. F. Lucas
2013	B	`ed.`	Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems, Porto, Portugal, June 20-22, 2013 CBMS Pedro Pereira Rodrigues, Mykola Pechenizkiy, João Gama, Ricardo Cruz-Correia, Jiming Liu, Agma J. M. Traina, Peter J. F. Lucas, Paolo Soda
2013	B	`conf`	Understanding the Co-occurrence of Diseases Using Structure Learning. AIME Martijn Lappenschaar, Arjen Hommersom, Joep Lagro, Peter J. F. Lucas
2012	J	`jnl`	A probabilistic framework for image information fusion with an application to mammographic analysis. Medical Image Anal. Marina Velikova, Peter J. F. Lucas, Maurice Samulski, Nico Karssemeijer
2012	A	`ed.`	ECAI 2012 - 20th European Conference on Artificial Intelligence. Including Prestigious Applications of Artificial Intelligence (PAIS-2012) System Demonstrations Track, Montpellier, France, August 27-31 , 2012 ECAI Luc De Raedt, Christian Bessiere, Didier Dubois, Patrick Doherty, Paolo Frasconi, Fredrik Heintz, Peter J. F. Lucas
2012	B	`conf`	Fully-automated interpretation of biochemical tests for decision support by smartphones. CBMS Marina Velikova, Peter J. F. Lucas, Ruben L. Smeets, Josien Terwisscha van Scheltinga
2012	Misc	`conf`	Probabilistic Causal Models of Multimorbidity Concepts. AMIA Martijn Lappenschaar, Arjen Hommersom, Peter J. F. Lucas
2012	—	`conf`	Probabilistic Model-Based Assessment of Information Quality in Uncertain Domains. Australasian Conference on Artificial Intelligence Steffen Michels, Marina Velikova, Peter J. F. Lucas
2012	B	`conf`	Probabilistic models for smart monitoring. CBMS Maarten van der Heijden, Peter J. F. Lucas
2011	B	`conf`	A Predictive Bayesian Network Model for Home Management of Preeclampsia. AIME Marina Velikova, Peter J. F. Lucas, Marc Spaanderman
2011	—	`ch.`	Applying Bayesian Networks for Intelligent Adaptable Printing Systems. Solutions on Embedded Systems Arjen Hommersom, Peter J. F. Lucas, René Waarsing, Pieter W. M. Koopman
2011	A*	`conf`	Generalising the Interaction Rules in Probabilistic Logic. IJCAI Arjen Hommersom, Peter J. F. Lucas
2011	B	`conf`	Managing COPD Exacerbations with Telemedicine. AIME Maarten van der Heijden, Bas Lijnse, Peter J. F. Lucas, Yvonne F. Heijdra, Tjard R. J. Schermer
2011	C	`conf`	Marginalization without Summation Exploiting Determinism in Factor Algebra. ECSQARU Sander Evers, Peter J. F. Lucas
2010	—	`conf`	Critiquing Knowledge Representation in Medical Image Interpretation Using Structure Learning. KR4HC Niels Radstake, Peter J. F. Lucas, Marina Velikova, Maurice Samulski
2010	—	`conf`	Discretisation Does Affect the Performance of Bayesian Networks. SGAI Conf. Saskia Robben, Marina Velikova, Peter J. F. Lucas, Maurice Samulski
2010	J	`jnl`	Towards Games for Knowledge Acquisition and Modeling. Int. J. Gaming Comput. Mediat. Simulations Stijn Hoppenbrouwers, Bart Schotten, Peter J. F. Lucas
2010	A	`conf`	Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive. ECAI Arjen Hommersom, Peter J. F. Lucas
2010	—	`conf`	Using Local Context Information to Improve Automatic Mammographic Mass Detection. MedInfo Marina Velikova, Peter J. F. Lucas, Nico Karssemeijer
2010	—	`conf`	e-MomCare: A Personalised Home-Monitoring System for Pregnancy Disorders. eHealth Marina Velikova, Peter J. F. Lucas, Marc Spaanderman
2009	J	`jnl`	A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. Expert Syst. Appl. Theodore Charitos, Linda C. van der Gaag, Stefan Visscher, Karin Schurink, Peter J. F. Lucas
2009	—	`conf`	Applying Bayesian networks for intelligent adaptable printing systems. WISES Arjen Hommersom, Peter J. F. Lucas, René Waarsing, Pieter W. M. Koopman
2009	B	`conf`	Causal Probabilistic Modelling for Two-View Mammographic Analysis. AIME Marina Velikova, Maurice Samulski, Peter J. F. Lucas, Nico Karssemeijer
2009	—	`conf`	Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systems. KR4HC Maarten van der Heijden, Peter J. F. Lucas
2009	—	`conf`	Integrating Logical Reasoning and Probabilistic Chain Graphs. ECML/PKDD (1) Arjen Hommersom, Nivea de Carvalho Ferreira, Peter J. F. Lucas
2009	—	`conf`	Learning Parameters of Chain Logic Theories. MLG/SRL@ILP Arjen Hommersom, Nivea de Carvalho Ferreira, Peter J. F. Lucas
2009	B	`conf`	Modelling Screening Mammography Images: A Probabilistic Relational Approach. AIME Nivea de Carvalho Ferreira, Peter J. F. Lucas
2009	J	`jnl`	Modelling treatment effects in a clinical Bayesian network using Boolean threshold functions. Artif. Intell. Medicine Stefan Visscher, Peter J. F. Lucas, Carolina A. M. Schurink, Marc J. M. Bonten
2009	B	`conf`	Probabilistic relational modelling of mammographic images. CBMS Nivea de Carvalho Ferreira, Peter J. F. Lucas
2009	C	`conf`	The Probabilistic Interpretation of Model-Based Diagnosis. ECSQARU Ildikó Flesch, Peter J. F. Lucas
2009	J	`jnl`	Using model checking for critiquing based on clinical guidelines. Artif. Intell. Medicine Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Robbert-Jan Merk, Annette ten Teije, Frank van Harmelen, Radu Serban
2008	—	`ch.`	A Constraint-based Approach to Medical Guidelines and Protocols. Computer-based Medical Guidelines and Protocols Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Mar Marcos, Begoña Martínez-Salvador
2008	A	`conf`	A decision support system for breast cancer detection in screening programs. ECAI Marina Velikova, Peter J. F. Lucas, Nivea de Carvalho Ferreira, Maurice Samulski, Nico Karssemeijer
2008	J	`jnl`	A generic qualitative characterization of independence of causal influence. Int. J. Approx. Reason. Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide
2008	—	`ch.`	Adaptation of Clinical Practice Guidelines. Computer-based Medical Guidelines and Protocols Perry Groot, Arjen Hommersom, Peter J. F. Lucas
2008	J	`jnl`	Checking the Quality of Clinical Guidelines using Automated Reasoning Tools CoRR Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel
2008	J	`jnl`	Checking the quality of clinical guidelines using automated reasoning tools. Theory Pract. Log. Program. Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel
2008	A	`conf`	Combining Abduction with Conflict-based Diagnosis. ECAI Ildikó Flesch, Peter J. F. Lucas
2008	—	`book`	Computer-based Medical Guidelines and Protocols: A Primer and Current Trends Computer-based Medical Guidelines and Protocols Annette ten Teije, Silvia Miksch, Peter J. F. Lucas
2008	J	`jnl`	Dynamic Bayesian networks as prognostic models for clinical patient management. J. Biomed. Informatics Marcel van Gerven, Babs G. Taal, Peter J. F. Lucas
2008	J	`jnl`	Explaining clinical decisions by extracting regularity patterns. Decis. Support Syst. Concha Bielza, Juan A. Fernández del Pozo, Peter J. F. Lucas
2008	—	`ch.`	Formal Methods for Verification of Clinical Practice Guidelines. Computer-based Medical Guidelines and Protocols Arjen Hommersom, Perry Groot, Michael Balser, Peter J. F. Lucas
2008	Misc	`conf`	Toward Expert Knowledge Representation for Automatic Breast Cancer Detection. AIMSA Marina Velikova, Maurice Samulski, Nico Karssemeijer, Peter J. F. Lucas
2007	—	`conf`	Actions with Failures in Interval Temporal Logic. CLIMA Arjen Hommersom, Peter J. F. Lucas
2007	B	`conf`	Bayesian Network Decomposition for Modeling Breast Cancer Detection. AIME Marina Velikova, Nivea de Carvalho Ferreira, Peter J. F. Lucas
2007	—	`conf`	Classification of mammographic masses using support vector machines and Bayesian networks. Computer-Aided Diagnosis Maurice Samulski, Nico Karssemeijer, Peter J. F. Lucas, Perry Groot
2007	J	`jnl`	Combining task execution and background knowledge for the verification of medical guidelines. Knowl. Based Syst. Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
2007	A*	`conf`	Conflict-Based Diagnosis: Adding Uncertainty to Model-based Diagnosis. IJCAI Ildikó Flesch, Peter J. F. Lucas, Theo P. van der Weide
2007	C	`conf`	Independence Decomposition in Dynamic Bayesian Networks. ECSQARU Ildikó Flesch, Peter J. F. Lucas
2007	J	`jnl`	Predicting carcinoid heart disease with the noisy-threshold classifier. Artif. Intell. Medicine Marcel van Gerven, Rasa Jurgelenaite, Babs G. Taal, Tom Heskes, Peter J. F. Lucas
2007	J	`jnl`	Selecting treatment strategies with dynamic limited-memory influence diagrams. Artif. Intell. Medicine Marcel van Gerven, Francisco Javier Díez, Babs G. Taal, Peter J. F. Lucas
2007	B	`conf`	The Role of Model Checking in Critiquing Based on Clinical Guidelines. AIME Perry Groot, Arjen Hommersom, Peter J. F. Lucas, Radu Serban, Annette ten Teije, Frank van Harmelen
2007	B	`conf`	Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes. AIME Stefan Visscher, Peter J. F. Lucas, Ildikó Flesch, Karin Schurink
2007	J	`jnl`	Verification of Medical Guidelines Using Background Knowledge in Task Networks. IEEE Trans. Knowl. Data Eng. Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
2006	—	`conf`	Combining Task Execution and Background Knowledge for the Verification of Medical Guidelines. SGAI Conf. Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
2006	—	`conf`	Graphical Reasoning with Bayesian Networks. SGAI Conf. Ildikó Flesch, Peter J. F. Lucas
2006	J	`jnl`	Improving medical protocols by formal methods. Artif. Intell. Medicine 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
2006	J	`jnl`	Qualitative futures. Knowl. Eng. Rev. Chris J. Price, Louise Travé-Massuyès, Robert Milne, Liliana Ironi, Kenneth D. Forbus, Bert Bredeweg, Mark H. Lee, Peter Struss, N. A. Snooke, Peter J. F. Lucas, Marc Cavazza, George Macleod Coghill
2006	J	`jnl`	Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. Int. J. Approx. Reason. Peter J. F. Lucas, José A. Gámez, Antonio Salmerón
2006	A	`conf`	Verification of Medical Guidelines Using Task Execution with Background Knowledge. ECAI Arjen Hommersom, Perry Groot, Peter J. F. Lucas, Michael Balser, Jonathan Schmitt
2005	B	`conf`	A History-Based Algebra for Quality-Checking Medical Guidelines. AIME Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel, Theo P. van der Weide
2005	C	`conf`	A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials. ECSQARU Marcel van Gerven, Peter J. F. Lucas, Theo P. van der Weide
2005	—	`conf`	Argumentation Systems for History-Based Construction of Medical Guidelines. BNAIC Arjen Hommersom, Peter J. F. Lucas, Patrick van Bommel
2005	J	`jnl`	Bayesian network modelling through qualitative patterns. Artif. Intell. Peter J. F. Lucas
2005	J	`jnl`	Exploiting causal independence in large Bayesian networks. Knowl. Based Syst. Rasa Jurgelenaite, Peter J. F. Lucas
2005	—	`conf`	Exploring the Noisy Threshold Function in Designing Bayesian Networks. SGAI Conf. Rasa Jurgelenaite, Peter J. F. Lucas, Tom Heskes
2005	—	`conf`	Improving the Therapeutic Performance of a Medical Bayesian Network Using Noisy Threshold Models. ISBMDA Stefan Visscher, Peter J. F. Lucas, Marc Bonten, Karin Schurink
2005	—	`conf`	Use of the Noisy Threshold Function in Building Bayesian Networks. BNAIC Rasa Jurgelenaite, Peter J. F. Lucas, Tom Heskes
2005	B	`conf`	Using a Bayesian-Network Model for the Analysis of Clinical Time-Series Data. AIME Stefan Visscher, Peter J. F. Lucas, Karin Schurink, Marc Bonten
2004	A	`conf`	A System for Pacemaker Treatment Advice. ECAI Peter J. F. Lucas, Ruud Kuipers, Frederick Feith
2004	J	`jnl`	Bayesian networks in biomedicine and health-care. Artif. Intell. Medicine Peter J. F. Lucas, Linda C. van der Gaag, Ameen Abu-Hanna
2004	—	`conf`	Employing Maximum Mutual Information for Bayesian Classification. ISBMDA Marcel van Gerven, Peter J. F. Lucas
2004	—	`conf`	Exploiting Causal Independence in Large Bayesian Networks. SGAI Conf. Rasa Jurgelenaite, Peter J. F. Lucas
2004	B	`conf`	Meta-level Verification of the Quality of Medical Guidelines Using Interactive Theorem Proving. JELIA Arjen Hommersom, Peter J. F. Lucas, Michael Balser
2004	A	`conf`	Parameter Estimation in Large Causal Models. ECAI Rasa Jurgelenaite, Peter J. F. Lucas
2004	—	`conf`	Protocure: Supporting the Development of Medical Protocols through Formal Methods. CGP Michael Balser, Óscar Coltell, Joyce van Croonenborg, Christoph Duelli, Frank van Harmelen, Albert Jovell, Peter J. F. Lucas, Mar Marcos, Silvia Miksch, Wolfgang Reif, Kitty Rosenbrand, Andreas Seyfang, Annette ten Teije
2004	—	`conf`	Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains. SGAI Conf. Marcel van Gerven, Peter J. F. Lucas
2003	C	`conf`	Decision Network Semantics of Branching Constraint Satisfaction Problems. ECSQARU Kenneth N. Brown, Peter J. F. Lucas, David W. Fowler
2003	B	`conf`	Finding and Explaining Optimal Treatments. AIME Concha Bielza, Juan A. Fernández del Pozo, Peter J. F. Lucas
2003	—	`conf`	Optimal Decision Explanation by Extracting Regularity Patterns. SGAI Conf. Concha Bielza, Juan A. Fernández del Pozo, Peter J. F. Lucas
2003	—	`conf`	Quality Checking of Medical Guidelines through Logical Abduction. SGAI Conf. Peter J. F. Lucas
2002	A	`conf`	Bayesian Network Modelling by Qualitative Patterns. ECAI Peter J. F. Lucas
2002	—	`conf`	Restricted Bayesian Network Structure Learning. Probabilistic Graphical Models Peter J. F. Lucas
2001	J	`jnl`	Bayesian model-based diagnosis. Int. J. Approx. Reason. Peter J. F. Lucas
2001	J	`jnl`	Certainty-factor-like structures in Bayesian belief networks. Knowl. Based Syst. Peter J. F. Lucas
2001	B	`conf`	Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems. AIME Agnieszka Onisko, Peter J. F. Lucas, Marek J. Druzdzel
2001	B	`conf`	Expert Knowledge and Its Role in Learning Bayesian Networks in Medicine: An Appraisal. AIME Peter J. F. Lucas
2001	—	`conf`	Learning Bayesian-Network Topologies in Realistic Medical Domains. ISMDA Xiaofeng Wu, Peter J. F. Lucas, Susan Kerr, Roelf Dijkhuizen
2001	B	`conf`	Using Temporal Probabilistic Knowledge for Medical Decision Making. AIME Nicolette de Bruijn, Peter J. F. Lucas, Karin Schurink, Marc Bonten, Andy Hoepelman
2000	J	`jnl`	A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU. Artif. Intell. Medicine Peter J. F. Lucas, Nicolette de Bruijn, Karin Schurink, Andy Hoepelman
1999	—	`conf`	A Model-Based System for Pacemaker Reprogramming. AIMDM Peter J. F. Lucas, Astrid Tholen, Geeske van Oort
1999	—	`conf`	A Probabilistic Approach to Improved Antibiotic Therapy. MIE Nicolette de Bruijn, Peter J. F. Lucas, Karin Schurink, Andy Hoepelman
1999	J	`jnl`	An intelligent system for pacemaker reprogramming. Artif. Intell. Medicine Peter J. F. Lucas, Astrid Tholen, Geeske van Oort
1999	—	`conf`	Certainty-Factor-Like Structures in Bayesian Networks. AI*IA Peter J. F. Lucas
1998	J	`jnl`	A decision-theoretic network approach to treatment management and prognosis. Knowl. Based Syst. Peter J. F. Lucas, Henk Boot, Babs G. Taal
1998	J	`jnl`	Analysis of Notions of Diagnosis. Artif. Intell. Peter J. F. Lucas
1997	B	`conf`	A Theory of Medical Diagnosis as Hypothesis Refinement. AIME Peter J. F. Lucas
1997	J	`jnl`	Model-based diagnosis in medicine. Artif. Intell. Medicine Peter J. F. Lucas
1995	J	`jnl`	Logic engineering in medicine. Knowl. Eng. Rev. Peter J. F. Lucas
1994	J	`jnl`	Refinement of the HEPAR expert system: tools and techniques. Artif. Intell. Medicine Peter J. F. Lucas
1993	J	`jnl`	The representation of medical reasoning models in resolution-based theorem provers. Artif. Intell. Medicine Peter J. F. Lucas
1991	—	`book`	Principles of expert systems. Peter J. F. Lucas, Linda C. van der Gaag