The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Peter J. F. Lucas: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Peter J. F. Lucas
    Certainty-Factor-Like Structures in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    AI*IA, 1999, pp:25-36 [Conf]
  2. 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]
  3. 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]
  4. 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]
  5. 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]
  6. 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]
  7. Peter J. F. Lucas
    A Theory of Medical Diagnosis as Hypothesis Refinement. [Citation Graph (0, 0)][DBLP]
    AIME, 1997, pp:169-180 [Conf]
  8. 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]
  9. 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]
  10. 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]
  11. 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]
  12. 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]
  13. Rasa Jurgelenaite, Peter J. F. Lucas
    Parameter Estimation in Large Causal Models. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:1037-1038 [Conf]
  14. Peter J. F. Lucas
    Bayesian Network Modelling by Qualitative Patterns. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:690-694 [Conf]
  15. 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]
  16. 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]
  17. 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]
  18. 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]
  19. 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]
  20. 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]
  21. 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]
  22. 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]
  23. Peter J. F. Lucas
    Restricted Bayesian Network Structure Learning. [Citation Graph (0, 0)][DBLP]
    Probabilistic Graphical Models, 2002, pp:- [Conf]
  24. 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]
  25. 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]
  26. 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]
  27. 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]
  28. 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]
  29. 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]
  30. 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]
  31. 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]
  32. 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]
  33. 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]
  34. 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]
  35. 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]
  36. 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]
  37. 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]
  38. 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]
  39. 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]
  40. 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]
  41. 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]
  42. 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]
  43. Ildikó Flesch, Peter J. F. Lucas
    Independence Decomposition in Dynamic Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2007, pp:560-571 [Conf]

  44. Causal Probabilistic Modelling for Two-View Mammographic Analysis. [Citation Graph (, )][DBLP]


  45. Modelling Screening Mammography Images: A Probabilistic Relational Approach. [Citation Graph (, )][DBLP]


  46. Extracting Qualitative Knowledge from Medical Guidelines for Clinical Decision-Support Systems. [Citation Graph (, )][DBLP]


  47. Toward Expert Knowledge Representation for Automatic Breast Cancer Detection. [Citation Graph (, )][DBLP]


  48. Probabilistic relational modelling of mammographic images. [Citation Graph (, )][DBLP]


  49. Actions with Failures in Interval Temporal Logic. [Citation Graph (, )][DBLP]


  50. A decision support system for breast cancer detection in screening programs. [Citation Graph (, )][DBLP]


  51. Combining Abduction with Conflict-based Diagnosis. [Citation Graph (, )][DBLP]


  52. Using Bayesian Networks in an Industrial Setting: Making Printing Systems Adaptive. [Citation Graph (, )][DBLP]


  53. The Probabilistic Interpretation of Model-Based Diagnosis. [Citation Graph (, )][DBLP]


  54. Integrating Logical Reasoning and Probabilistic Chain Graphs. [Citation Graph (, )][DBLP]


  55. Exploiting Causal Independence in Large Bayesian Networks. [Citation Graph (, )][DBLP]


  56. Using Background Knowledge to Construct Bayesian Classifiers for Data-Poor Domains. [Citation Graph (, )][DBLP]


  57. Predicting carcinoid heart disease with the noisy-threshold classifier. [Citation Graph (, )][DBLP]


  58. Using model checking for critiquing based on clinical guidelines. [Citation Graph (, )][DBLP]


  59. Selecting treatment strategies with dynamic limited-memory influence diagrams. [Citation Graph (, )][DBLP]


  60. Modelling treatment effects in a clinical Bayesian network using Boolean threshold functions. [Citation Graph (, )][DBLP]


  61. Checking the Quality of Clinical Guidelines using Automated Reasoning Tools [Citation Graph (, )][DBLP]


  62. Explaining clinical decisions by extracting regularity patterns. [Citation Graph (, )][DBLP]


Search in 1.632secs, Finished in 1.636secs
NOTICE1
System may not be available sometimes or not working properly, since it is still in development with continuous upgrades
NOTICE2
The rankings that are presented on this page should NOT be considered as formal since the citation info is incomplete in DBLP
 
System created by asidirop@csd.auth.gr [http://users.auth.gr/~asidirop/] © 2002
for Data Engineering Laboratory, Department of Informatics, Aristotle University © 2002