The SCEAS System
Navigation Menu

Search the dblp DataBase

Title:
Author:

Linda C. van der Gaag: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Linda C. van der Gaag, Veerle M. H. Coupé
    Sensitive Analysis for Threshold Decision Making with Bayesian Belief Networks. [Citation Graph (0, 0)][DBLP]
    AI*IA, 1999, pp:37-48 [Conf]
  2. Linda C. van der Gaag, Silja Renooij
    On the Evaluation of Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    AIME, 2001, pp:457-461 [Conf]
  3. Linda C. van der Gaag, Silja Renooij
    Probabilistic Networks as Probabilistic Forecasters. [Citation Graph (0, 0)][DBLP]
    AIME, 2003, pp:294-298 [Conf]
  4. Linda C. van der Gaag, C. L. M. Witteman, Silja Renooij, Michael Egmont-Petersen
    The Effects of Disregarding Test Characteristics in Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    AIME, 2001, pp:188-198 [Conf]
  5. Wouter P. van Rijsinge, Linda C. van der Gaag, Frank L. J. Visseren, Yolanda van der Graaf
    Compliance with the Hyperlipidaemia Consensus: Clinicians versus the Computer. [Citation Graph (0, 0)][DBLP]
    AIME, 2003, pp:340-344 [Conf]
  6. Danielle Sent, Linda C. van der Gaag
    Detailing Test Characteristics for Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    AIME, 2003, pp:254-263 [Conf]
  7. Hans L. Bodlaender, Frank van den Eijkhof, Linda C. van der Gaag
    On the Complexity of the MPA Problem in Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:675-679 [Conf]
  8. Madalina M. Drugan, Linda C. van der Gaag
    A New MDL-Based Function for Feature Selection for Bayesian Network Classifiers. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:999-1000 [Conf]
  9. Linda C. van der Gaag, Eveline M. Helsper
    Defining Classes of Influences for the Acquisition of Probability Constraints for Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    ECAI, 2004, pp:1101-1102 [Conf]
  10. Eveline M. Helsper, Linda C. van der Gaag
    Building Bayesian Networks through Ontologies. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:680-684 [Conf]
  11. Silja Renooij, Linda C. van der Gaag, Simon Parsons
    Propagation of Multiple Observations in QPNs Revisited. [Citation Graph (0, 0)][DBLP]
    ECAI, 2002, pp:665-669 [Conf]
  12. Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij
    Introducing Situational Influences in QPNs. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2003, pp:113-124 [Conf]
  13. Veerle M. H. Coupé, Linda C. van der Gaag
    Supporting Probability Elicitation by Sensitivity Analysis. [Citation Graph (0, 0)][DBLP]
    EKAW, 1997, pp:335-340 [Conf]
  14. Linda C. van der Gaag, Eveline M. Helsper
    Experiences with Modelling Issues in Building Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    EKAW, 2002, pp:21-26 [Conf]
  15. Eveline M. Helsper, Linda C. van der Gaag, Floris Groenendaal
    Designing a Procedure for the Acquisition of Probability Constraints for Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    EKAW, 2004, pp:280-292 [Conf]
  16. Theodore Charitos, Peter R. de Waal, Linda C. van der Gaag
    Speeding Up Inference in Markovian Models. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2005, pp:785-790 [Conf]
  17. Silja Renooij, Linda C. van der Gaag
    Decision Making in Qualitative Influence Diagrams. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 1998, pp:410-414 [Conf]
  18. Silja Renooij, Linda C. van der Gaag, Shaw Green, Simon Parsons
    Zooming in on Trade-Offs in Qualitative Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2000, pp:303-307 [Conf]
  19. Theodore Charitos, Linda C. van der Gaag
    Sensitivity Analysis of Markovian Models. [Citation Graph (0, 0)][DBLP]
    FLAIRS Conference, 2006, pp:806-811 [Conf]
  20. Steven van Dijk, Dirk Thierens, Linda C. van der Gaag
    Building a GA from Design Principles for Learning Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    GECCO, 2003, pp:886-897 [Conf]
  21. Silja Renooij, Simon Parsons, Linda C. van der Gaag
    Context-specific Sign-propagation in Qualitative Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    IJCAI, 2001, pp:667-672 [Conf]
  22. Petra Geenen, Linda C. van der Gaag, Willie Loeffen, Armin Elbers
    On the Robustness of Feature Selection with Absent and Non-observed Features. [Citation Graph (0, 0)][DBLP]
    ISBMDA, 2004, pp:148-159 [Conf]
  23. Rosa Blanco, Linda C. van der Gaag, Iñaki Inza, Pedro Larrañaga
    Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer. [Citation Graph (0, 0)][DBLP]
    ISBMDA, 2004, pp:212-223 [Conf]
  24. Eveline M. Helsper, Linda C. van der Gaag, A. J. Feelders, Willie Loeffen, Petra Geenen, Armin Elbers
    Bringing order into bayesian-network construction. [Citation Graph (0, 0)][DBLP]
    K-CAP, 2005, pp:121-128 [Conf]
  25. Steven van Dijk, Linda C. van der Gaag, Dirk Thierens
    A Skeleton-Based Approach to Learning Bayesian Networks from Data. [Citation Graph (0, 0)][DBLP]
    PKDD, 2003, pp:132-143 [Conf]
  26. Niels Peek, Linda C. van der Gaag
    A Case-based Filter for Diagnostic Belief Networks. [Citation Graph (0, 0)][DBLP]
    SCAI, 1995, pp:196-207 [Conf]
  27. Peter Bruza, Linda C. van der Gaag
    Efficient Context-Sensitive Plausible Inference for Information Disclosure. [Citation Graph (0, 0)][DBLP]
    SIGIR, 1993, pp:12-21 [Conf]
  28. Hans L. Bodlaender, Arie M. C. A. Koster, Frank van den Eijkhof, Linda C. van der Gaag
    Pre-processing for Triangulation of Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:32-39 [Conf]
  29. Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag
    Upgrading Ambiguous Signs in QPNs. [Citation Graph (0, 0)][DBLP]
    UAI, 2003, pp:73-80 [Conf]
  30. Marek J. Druzdzel, Linda C. van der Gaag
    Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. [Citation Graph (0, 0)][DBLP]
    UAI, 1995, pp:141-148 [Conf]
  31. Linda C. van der Gaag
    Computing probability intervals under independency constraints. [Citation Graph (0, 0)][DBLP]
    UAI, 1990, pp:457-466 [Conf]
  32. Linda C. van der Gaag, Silja Renooij
    Analysing Sensitivity Data from Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2001, pp:530-537 [Conf]
  33. Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, B. M. P. Aleman, B. G. Taal
    How to Elicit Many Probabilities. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:647-654 [Conf]
  34. Uffe Kjærulff, Linda C. van der Gaag
    Making Sensitivity Analysis Computationally Efficient. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:317-325 [Conf]
  35. Silja Renooij, Linda C. van der Gaag
    From Qualitative to Quantitative Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2002, pp:422-429 [Conf]
  36. Silja Renooij, Linda C. van der Gaag
    Enhancing QPNs for Trade-off Resolution. [Citation Graph (0, 0)][DBLP]
    UAI, 1999, pp:559-566 [Conf]
  37. Silja Renooij, Linda C. van der Gaag, Simon Parsons, Shaw Green
    Pivotal Pruning of Trade-offs in QPNs. [Citation Graph (0, 0)][DBLP]
    UAI, 2000, pp:515-522 [Conf]
  38. Silja Renooij, Linda C. van der Gaag, Simon Parsons
    Context-specific sign-propagation in qualitative probabilistic networks. [Citation Graph (0, 0)][DBLP]
    Artif. Intell., 2002, v:140, n:1/2, pp:207-230 [Journal]
  39. Veerle M. H. Coupé, Linda C. van der Gaag
    Properties of Sensitivity Analysis of Bayesian Belief Networks. [Citation Graph (0, 0)][DBLP]
    Ann. Math. Artif. Intell., 2002, v:36, n:4, pp:323-356 [Journal]
  40. Linda C. van der Gaag, Silja Renooij, C. L. M. Witteman, B. M. P. Aleman, B. G. Taal
    Probabilities for a probabilistic network: a case study in oesophageal cancer. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2002, v:25, n:2, pp:123-148 [Journal]
  41. 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]
  42. Danielle Sent, Linda C. van der Gaag
    Generalised reliability characteristics for probabilistic networks. [Citation Graph (0, 0)][DBLP]
    Artificial Intelligence in Medicine, 2005, v:34, n:1, pp:41-52 [Journal]
  43. Gerry Kelleher, Linda C. van der Gaag
    The LazyRMS: Avoiding Work in the ATMS. [Citation Graph (0, 0)][DBLP]
    Computational Intelligence, 1993, v:9, n:, pp:239-253 [Journal]
  44. Linda C. van der Gaag
    Bayesian Belief Networks: Odds and Ends. [Citation Graph (0, 0)][DBLP]
    Comput. J., 1996, v:39, n:2, pp:97-113 [Journal]
  45. Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij
    Introducing situational signs in qualitative probabilistic networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2005, v:38, n:3, pp:333-354 [Journal]
  46. A. J. Feelders, Linda C. van der Gaag
    Learning Bayesian network parameters under order constraints. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 2006, v:42, n:1-2, pp:37-53 [Journal]
  47. Linda C. van der Gaag
    A conceptual model for inexact reasoning in rule-based systems. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1989, v:3, n:3, pp:239-258 [Journal]
  48. Linda C. van der Gaag
    On evidence absorption for belief networks. [Citation Graph (0, 0)][DBLP]
    Int. J. Approx. Reasoning, 1996, v:15, n:3, pp:265-286 [Journal]
  49. Linda C. van der Gaag
    Different Notions of Uncertainty in Quasi-Probabilistic Models. [Citation Graph (0, 0)][DBLP]
    International Journal of Man-Machine Studies, 1990, v:33, n:5, pp:595-606 [Journal]
  50. Marek J. Druzdzel, Linda C. van der Gaag
    Building Probabilistic Networks: "Where Do the Numbers Come From?" Guest Editors Introduction. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Knowl. Data Eng., 2000, v:12, n:4, pp:481-486 [Journal]
  51. Danielle Sent, Linda C. van der Gaag
    On the Behaviour of Information Measures for Test Selection. [Citation Graph (0, 0)][DBLP]
    AIME, 2007, pp:316-325 [Conf]
  52. Danielle Sent, Linda C. van der Gaag
    Enhancing Automated Test Selection in Probabilistic Networks. [Citation Graph (0, 0)][DBLP]
    AIME, 2007, pp:331-335 [Conf]
  53. Peter R. de Waal, Linda C. van der Gaag
    Inference and Learning in Multi-dimensional Bayesian Network Classifiers. [Citation Graph (0, 0)][DBLP]
    ECSQARU, 2007, pp:501-511 [Conf]
  54. Silja Renooij, Linda C. van der Gaag
    Evidence-invariant Sensitivity Bounds. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:479-486 [Conf]
  55. Peter R. de Waal, Linda C. van der Gaag
    Stable Independence in Perfect Maps. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:161-168 [Conf]
  56. A. J. Feelders, Linda C. van der Gaag
    Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:193-200 [Conf]
  57. Linda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders
    Monotonicity in Bayesian Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:569-576 [Conf]
  58. Peter R. de Waal, Linda C. van der Gaag
    Stable Independance and Complexity of Representation. [Citation Graph (0, 0)][DBLP]
    UAI, 2004, pp:112-119 [Conf]
  59. Silja Renooij, Linda C. van der Gaag
    Exploiting Evidence-dependent Sensitivity Bounds. [Citation Graph (0, 0)][DBLP]
    UAI, 2005, pp:485-492 [Conf]
  60. Theodore Charitos, Linda C. van der Gaag
    Sensitivity Analysis for Threshold Decision Making with Dynamic Networks. [Citation Graph (0, 0)][DBLP]
    UAI, 2006, pp:- [Conf]
  61. Martijn M. Schrage, Arjan van IJzendoorn, Linda C. van der Gaag
    Haskell ready to dazzle the real world. [Citation Graph (0, 0)][DBLP]
    Haskell, 2005, pp:17-26 [Conf]

  62. The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks. [Citation Graph (, )][DBLP]


  63. When in Doubt ... Be Indecisive. [Citation Graph (, )][DBLP]


  64. Modelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever. [Citation Graph (, )][DBLP]


  65. An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network. [Citation Graph (, )][DBLP]


  66. Aligning Bayesian Network Classifiers with Medical Contexts. [Citation Graph (, )][DBLP]


  67. Evidence and Scenario Sensitivities in Naive Bayesian Classifiers. [Citation Graph (, )][DBLP]


  68. Preprocessing the MAP Problem. [Citation Graph (, )][DBLP]


  69. Multi-dimensional Bayesian Network Classifiers. [Citation Graph (, )][DBLP]


  70. Lattices for Studying Monotonicity of Bayesian Networks. [Citation Graph (, )][DBLP]


  71. The Computational Complexity of Sensitivity Analysis and Parameter Tuning. [Citation Graph (, )][DBLP]


  72. Library-style Ontologies to Support Varying Model Views. [Citation Graph (, )][DBLP]


  73. Automated Test Selection in Decision-Support Systems: a Case Study in Oncology. [Citation Graph (, )][DBLP]


  74. Enhanced qualitative probabilistic networks for resolving trade-offs. [Citation Graph (, )][DBLP]


Search in 0.008secs, Finished in 0.012secs
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