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Peter J. F. Lucas :
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Peter J. F. Lucas Certainty-Factor-Like Structures in Bayesian Networks. [Citation Graph (0, 0)][DBLP ] AI*IA, 1999, pp:25-36 [Conf ] Peter J. F. Lucas , Astrid Tholen , Geeske van Oort A Model-Based System for Pacemaker Reprogramming. [Citation Graph (0, 0)][DBLP ] AIMDM, 1999, pp:175-184 [Conf ] Concha Bielza , Juan A. Fernández del Pozo , Peter J. F. Lucas Finding and Explaining Optimal Treatments. [Citation Graph (0, 0)][DBLP ] AIME, 2003, pp:299-303 [Conf ] Nicolette de Bruijn , Peter J. F. Lucas , Karin Schurink , Marc Bonten , Andy Hoepelman Using Temporal Probabilistic Knowledge for Medical Decision Making. [Citation Graph (0, 0)][DBLP ] AIME, 2001, pp:231-234 [Conf ] Arjen Hommersom , Peter J. F. Lucas , Patrick van Bommel , Theo P. van der Weide A History-Based Algebra for Quality-Checking Medical Guidelines. [Citation Graph (0, 0)][DBLP ] AIME, 2005, pp:161-165 [Conf ] Peter J. F. Lucas Expert Knowledge and Its Role in Learning Bayesian Networks in Medicine: An Appraisal. [Citation Graph (0, 0)][DBLP ] AIME, 2001, pp:156-166 [Conf ] Peter J. F. Lucas A Theory of Medical Diagnosis as Hypothesis Refinement. [Citation Graph (0, 0)][DBLP ] AIME, 1997, pp:169-180 [Conf ] Agnieszka Onisko , Peter J. F. Lucas , Marek J. Druzdzel Comparison of Rule-Based and Bayesian Network Approaches in Medical Diagnostic Systems. [Citation Graph (0, 0)][DBLP ] AIME, 2001, pp:283-292 [Conf ] Stefan Visscher , Peter J. F. Lucas , Karin Schurink , Marc Bonten Using a Bayesian-Network Model for the Analysis of Clinical Time-Series Data. [Citation Graph (0, 0)][DBLP ] AIME, 2005, pp:48-52 [Conf ] Arjen Hommersom , Peter J. F. Lucas , Patrick van Bommel Argumentation Systems for History-Based Construction of Medical Guidelines. [Citation Graph (0, 0)][DBLP ] BNAIC, 2005, pp:135-142 [Conf ] Rasa Jurgelenaite , Peter J. F. Lucas , Tom Heskes Use of the Noisy Threshold Function in Building Bayesian Networks. [Citation Graph (0, 0)][DBLP ] BNAIC, 2005, pp:158-165 [Conf ] Arjen Hommersom , Perry Groot , Peter J. F. Lucas , Michael Balser , Jonathan Schmitt Verification of Medical Guidelines Using Task Execution with Background Knowledge. [Citation Graph (0, 0)][DBLP ] ECAI, 2006, pp:835-836 [Conf ] Rasa Jurgelenaite , Peter J. F. Lucas Parameter Estimation in Large Causal Models. [Citation Graph (0, 0)][DBLP ] ECAI, 2004, pp:1037-1038 [Conf ] Peter J. F. Lucas Bayesian Network Modelling by Qualitative Patterns. [Citation Graph (0, 0)][DBLP ] ECAI, 2002, pp:690-694 [Conf ] Peter J. F. Lucas , Ruud Kuipers , Frederick Feith A System for Pacemaker Treatment Advice. [Citation Graph (0, 0)][DBLP ] ECAI, 2004, pp:735-739 [Conf ] Kenneth N. Brown , Peter J. F. Lucas , David W. Fowler Decision Network Semantics of Branching Constraint Satisfaction Problems. [Citation Graph (0, 0)][DBLP ] ECSQARU, 2003, pp:230-242 [Conf ] Marcel van Gerven , Peter J. F. Lucas , Theo P. van der Weide A Qualitative Characterisation of Causal Independence Models Using Boolean Polynomials. [Citation Graph (0, 0)][DBLP ] ECSQARU, 2005, pp:244-256 [Conf ] Ildikó Flesch , Peter J. F. Lucas , Theo P. van der Weide Conflict-Based Diagnosis: Adding Uncertainty to Model-based Diagnosis. [Citation Graph (0, 0)][DBLP ] IJCAI, 2007, pp:380-0 [Conf ] Marcel van Gerven , Peter J. F. Lucas Employing Maximum Mutual Information for Bayesian Classification. [Citation Graph (0, 0)][DBLP ] ISBMDA, 2004, pp:188-199 [Conf ] Stefan Visscher , Peter J. F. Lucas , Marc Bonten , Karin Schurink Improving the Therapeutic Performance of a Medical Bayesian Network Using Noisy Threshold Models. [Citation Graph (0, 0)][DBLP ] ISBMDA, 2005, pp:161-172 [Conf ] Xiaofeng Wu , Peter J. F. Lucas , Susan Kerr , Roelf Dijkhuizen Learning Bayesian-Network Topologies in Realistic Medical Domains. [Citation Graph (0, 0)][DBLP ] ISMDA, 2001, pp:302-308 [Conf ] Arjen Hommersom , Peter J. F. Lucas , Michael Balser Meta-level Verification of the Quality of Medical Guidelines Using Interactive Theorem Proving. [Citation Graph (0, 0)][DBLP ] JELIA, 2004, pp:654-666 [Conf ] Peter J. F. Lucas Restricted Bayesian Network Structure Learning. [Citation Graph (0, 0)][DBLP ] Probabilistic Graphical Models, 2002, pp:- [Conf ] Peter J. F. Lucas Bayesian network modelling through qualitative patterns. [Citation Graph (0, 0)][DBLP ] Artif. Intell., 2005, v:163, n:2, pp:233-263 [Journal ] Peter J. F. Lucas Analysis of Notions of Diagnosis. [Citation Graph (0, 0)][DBLP ] Artif. Intell., 1998, v:105, n:1-2, pp:295-343 [Journal ] Peter J. F. Lucas The representation of medical reasoning models in resolution-based theorem provers. [Citation Graph (0, 0)][DBLP ] Artificial Intelligence in Medicine, 1993, v:5, n:5, pp:395-414 [Journal ] Peter J. F. Lucas Refinement of the HEPAR expert system: tools and techniques. [Citation Graph (0, 0)][DBLP ] Artificial Intelligence in Medicine, 1994, v:6, n:2, pp:175-188 [Journal ] Peter J. F. Lucas Model-based diagnosis in medicine. [Citation Graph (0, 0)][DBLP ] Artificial Intelligence in Medicine, 1997, v:10, n:3, pp:201-208 [Journal ] Peter J. F. Lucas , Nicolette de Bruijn , Karin Schurink , Andy Hoepelman A probabilistic and decision-theoretic approach to the management of infectious disease at the ICU. [Citation Graph (0, 0)][DBLP ] Artificial Intelligence in Medicine, 2000, v:19, n:3, pp:251-279 [Journal ] Peter J. F. Lucas , Linda C. van der Gaag , Ameen Abu-Hanna Bayesian networks in biomedicine and health-care. [Citation Graph (0, 0)][DBLP ] Artificial Intelligence in Medicine, 2004, v:30, n:3, pp:201-214 [Journal ] Peter J. F. Lucas , Astrid Tholen , Geeske van Oort An intelligent system for pacemaker reprogramming. [Citation Graph (0, 0)][DBLP ] Artificial Intelligence in Medicine, 1999, v:17, n:3, pp:249-269 [Journal ] 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. [Citation Graph (0, 0)][DBLP ] Artificial Intelligence in Medicine, 2006, v:36, n:3, pp:193-209 [Journal ] Peter J. F. Lucas Bayesian model-based diagnosis. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2001, v:27, n:2, pp:99-119 [Journal ] Peter J. F. Lucas , José A. Gámez , Antonio Salmerón Special issue on PGM'04: Second European workshop on probabilistic graphical models 2004. [Citation Graph (0, 0)][DBLP ] Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:1-3 [Journal ] Rasa Jurgelenaite , Peter J. F. Lucas Exploiting causal independence in large Bayesian networks. [Citation Graph (0, 0)][DBLP ] Knowl.-Based Syst., 2005, v:18, n:4-5, pp:153-162 [Journal ] Peter J. F. Lucas Certainty-factor-like structures in Bayesian belief networks. [Citation Graph (0, 0)][DBLP ] Knowl.-Based Syst., 2001, v:14, n:7, pp:327-335 [Journal ] Peter J. F. Lucas , Henk Boot , Babs Taal A decision-theoretic network approach to treatment management and prognosis. [Citation Graph (0, 0)][DBLP ] Knowl.-Based Syst., 1998, v:11, n:5-6, pp:321-330 [Journal ] Arjen Hommersom , Perry Groot , Peter J. F. Lucas , Michael Balser , Jonathan Schmitt Combining task execution and background knowledge for the verification of medical guidelines. [Citation Graph (0, 0)][DBLP ] Knowl.-Based Syst., 2007, v:20, n:2, pp:113-119 [Journal ] Arjen Hommersom , Perry Groot , Peter J. F. Lucas , Michael Balser , Jonathan Schmitt Verification of Medical Guidelines Using Background Knowledge in Task Networks. [Citation Graph (0, 0)][DBLP ] IEEE Trans. Knowl. Data Eng., 2007, v:19, n:6, pp:832-846 [Journal ] Marina Velikova , Nivea de Carvalho Ferreira , Peter J. F. Lucas Bayesian Network Decomposition for Modeling Breast Cancer Detection. [Citation Graph (0, 0)][DBLP ] AIME, 2007, pp:346-350 [Conf ] Stefan Visscher , Peter J. F. Lucas , Ildikó Flesch , Karin Schurink Using Temporal Context-Specific Independence Information in the Exploratory Analysis of Disease Processes. [Citation Graph (0, 0)][DBLP ] AIME, 2007, pp:87-96 [Conf ] 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. [Citation Graph (0, 0)][DBLP ] AIME, 2007, pp:411-420 [Conf ] Ildikó Flesch , Peter J. F. Lucas Independence Decomposition in Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP ] ECSQARU, 2007, pp:560-571 [Conf ] Causal Probabilistic Modelling for Two-View Mammographic Analysis. [Citation Graph (, )][DBLP ] Modelling Screening Mammography Images: A Probabilistic Relational Approach. [Citation Graph (, )][DBLP ] Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systems. [Citation Graph (, )][DBLP ] Toward Expert Knowledge Representation for Automatic Breast Cancer Detection. [Citation Graph (, )][DBLP ] Probabilistic relational modelling of mammographic images. [Citation Graph (, )][DBLP ] Actions with Failures in Interval Temporal Logic. [Citation Graph (, )][DBLP ] A decision support system for breast cancer detection in screening programs. [Citation Graph (, )][DBLP ] Combining Abduction with Conflict-based Diagnosis. [Citation Graph (, )][DBLP ] Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive. [Citation Graph (, )][DBLP ] The Probabilistic Interpretation of Model-Based Diagnosis. [Citation Graph (, )][DBLP ] Integrating Logical Reasoning and Probabilistic Chain Graphs. [Citation Graph (, )][DBLP ] Exploiting Causal Independence in Large Bayesian Networks. [Citation Graph (, )][DBLP ] Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains. [Citation Graph (, )][DBLP ] Predicting carcinoid heart disease with the noisy-threshold classifier. [Citation Graph (, )][DBLP ] Using model checking for critiquing based on clinical guidelines. [Citation Graph (, )][DBLP ] Selecting treatment strategies with dynamic limited-memory influence diagrams. [Citation Graph (, )][DBLP ] Modelling treatment effects in a clinical Bayesian network using Boolean threshold functions. [Citation Graph (, )][DBLP ] Checking the Quality of Clinical Guidelines using Automated Reasoning Tools [Citation Graph (, )][DBLP ] Explaining clinical decisions by extracting regularity patterns. [Citation Graph (, )][DBLP ] Search in 0.003secs, Finished in 0.308secs