| 2009 |
|---|
| 73 | EE | Linda C. van der Gaag,
Russell Almond:
Preface.
Int. J. Approx. Reasoning 50(3): 415 (2009) |
| 72 | EE | Linda C. van der Gaag,
Hermina J. M. Tabachneck-Schijf,
Petra L. Geenen:
Verifying monotonicity of Bayesian networks with domain experts.
Int. J. Approx. Reasoning 50(3): 429-436 (2009) |
| 2008 |
|---|
| 71 | EE | Johan Kwisthout,
Linda C. van der Gaag:
The Computational Complexity of Sensitivity Analysis and Parameter Tuning.
UAI 2008: 349-356 |
| 70 | EE | Silja Renooij,
Linda C. van der Gaag:
Enhanced qualitative probabilistic networks for resolving trade-offs.
Artif. Intell. 172(12-13): 1470-1494 (2008) |
| 69 | EE | Silja Renooij,
Linda C. van der Gaag:
Evidence and scenario sensitivities in naive Bayesian classifiers.
Int. J. Approx. Reasoning 49(2): 398-416 (2008) |
| 2007 |
|---|
| 68 | EE | Danielle Sent,
Linda C. van der Gaag:
On the Behaviour of Information Measures for Test Selection.
AIME 2007: 316-325 |
| 67 | EE | Danielle Sent,
Linda C. van der Gaag:
Enhancing Automated Test Selection in Probabilistic Networks.
AIME 2007: 331-335 |
| 66 | EE | Hermina Tabachneck-Schijf,
Linda C. van der Gaag:
Library-style Ontologies to Support Varying Model Views.
BMA 2007 |
| 65 | EE | Peter R. de Waal,
Linda C. van der Gaag:
Inference and Learning in Multi-dimensional Bayesian Network Classifiers.
ECSQARU 2007: 501-511 |
| 64 | EE | Theodore Charitos,
Peter R. de Waal,
Linda C. van der Gaag:
Convergence in Markovian models with implications for efficiency of inference.
Int. J. Approx. Reasoning 46(2): 300-319 (2007) |
| 63 | EE | Eveline M. Helsper,
Linda C. van der Gaag:
Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain.
Knowledge Eng. Review 22(1): 67-86 (2007) |
| 2006 |
|---|
| 62 | | Theodore Charitos,
Linda C. van der Gaag:
Sensitivity Analysis of Markovian Models.
FLAIRS Conference 2006: 806-811 |
| 61 | EE | Linda C. van der Gaag,
Peter R. de Waal:
Multi-dimensional Bayesian Network Classifiers.
Probabilistic Graphical Models 2006: 107-114 |
| 60 | EE | Silja Renooij,
Linda C. van der Gaag:
Evidence and Scenario Sensitivities in Naive Bayesian Classifiers.
Probabilistic Graphical Models 2006: 255-262 |
| 59 | EE | Janneke H. Bolt,
Linda C. van der Gaag:
Preprocessing the MAP Problem.
Probabilistic Graphical Models 2006: 51-58 |
| 58 | EE | Linda C. van der Gaag,
Silja Renooij,
Petra L. Geenen:
Lattices for Studying Monotonicity of Bayesian Networks.
Probabilistic Graphical Models 2006: 99-106 |
| 57 | EE | Theodore Charitos,
Linda C. van der Gaag:
Sensitivity Analysis for Threshold Decision Making with Dynamic Networks.
UAI 2006 |
| 56 | EE | A. J. Feelders,
Linda C. van der Gaag:
Learning Bayesian network parameters under order constraints.
Int. J. Approx. Reasoning 42(1-2): 37-53 (2006) |
| 2005 |
|---|
| 55 | | Theodore Charitos,
Peter R. de Waal,
Linda C. van der Gaag:
Speeding Up Inference in Markovian Models.
FLAIRS Conference 2005: 785-790 |
| 54 | EE | Martijn M. Schrage,
Arjan van IJzendoorn,
Linda C. van der Gaag:
Haskell ready to dazzle the real world.
Haskell 2005: 17-26 |
| 53 | EE | Eveline M. Helsper,
Linda C. van der Gaag,
A. J. Feelders,
Willie Loeffen,
Petra L. Geenen,
Armin Elbers:
Bringing order into bayesian-network construction.
K-CAP 2005: 121-128 |
| 52 | EE | Peter R. de Waal,
Linda C. van der Gaag:
Stable Independence in Perfect Maps.
UAI 2005: 161-168 |
| 51 | EE | A. J. Feelders,
Linda C. van der Gaag:
Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences.
UAI 2005: 193-200 |
| 50 | EE | Silja Renooij,
Linda C. van der Gaag:
Exploiting Evidence-dependent Sensitivity Bounds.
UAI 2005: 485-492 |
| 49 | EE | Danielle Sent,
Linda C. van der Gaag:
Generalised reliability characteristics for probabilistic networks.
Artificial Intelligence in Medicine 34(1): 41-52 (2005) |
| 48 | EE | Janneke H. Bolt,
Linda C. van der Gaag,
Silja Renooij:
Introducing situational signs in qualitative probabilistic networks.
Int. J. Approx. Reasoning 38(3): 333-354 (2005) |
| 2004 |
|---|
| 47 | | Linda C. van der Gaag,
Eveline M. Helsper:
Defining Classes of Influences for the Acquisition of Probability Constraints for Bayesian Networks.
ECAI 2004: 1101-1102 |
| 46 | | Madalina M. Drugan,
Linda C. van der Gaag:
A New MDL-Based Function for Feature Selection for Bayesian Network Classifiers.
ECAI 2004: 999-1000 |
| 45 | EE | Eveline M. Helsper,
Linda C. van der Gaag,
Floris Groenendaal:
Designing a Procedure for the Acquisition of Probability Constraints for Bayesian Networks.
EKAW 2004: 280-292 |
| 44 | EE | Petra L. Geenen,
Linda C. van der Gaag,
Willie Loeffen,
Armin Elbers:
On the Robustness of Feature Selection with Absent and Non-observed Features.
ISBMDA 2004: 148-159 |
| 43 | EE | Rosa Blanco,
Linda C. van der Gaag,
Iñaki Inza,
Pedro Larrañaga:
Selective Classifiers Can Be Too Restrictive: A Case-Study in Oesophageal Cancer.
ISBMDA 2004: 212-223 |
| 42 | EE | Peter R. de Waal,
Linda C. van der Gaag:
Stable Independance and Complexity of Representation.
UAI 2004: 112-119 |
| 41 | EE | Silja Renooij,
Linda C. van der Gaag:
Evidence-invariant Sensitivity Bounds.
UAI 2004: 479-486 |
| 40 | EE | Linda C. van der Gaag,
Hans L. Bodlaender,
A. J. Feelders:
Monotonicity in Bayesian Networks.
UAI 2004: 569-576 |
| 39 | EE | Peter J. F. Lucas,
Linda C. van der Gaag,
Ameen Abu-Hanna:
Bayesian networks in biomedicine and health-care.
Artificial Intelligence in Medicine 30(3): 201-214 (2004) |
| 2003 |
|---|
| 38 | EE | Danielle Sent,
Linda C. van der Gaag:
Detailing Test Characteristics for Probabilistic Networks.
AIME 2003: 254-263 |
| 37 | EE | Linda C. van der Gaag,
Silja Renooij:
Probabilistic Networks as Probabilistic Forecasters.
AIME 2003: 294-298 |
| 36 | EE | 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.
AIME 2003: 340-344 |
| 35 | EE | Janneke H. Bolt,
Linda C. van der Gaag,
Silja Renooij:
Introducing Situational Influences in QPNs.
ECSQARU 2003: 113-124 |
| 34 | EE | Steven van Dijk,
Dirk Thierens,
Linda C. van der Gaag:
Building a GA from Design Principles for Learning Bayesian Networks.
GECCO 2003: 886-897 |
| 33 | EE | Steven van Dijk,
Linda C. van der Gaag,
Dirk Thierens:
A Skeleton-Based Approach to Learning Bayesian Networks from Data.
PKDD 2003: 132-143 |
| 32 | | Janneke H. Bolt,
Silja Renooij,
Linda C. van der Gaag:
Upgrading Ambiguous Signs in QPNs.
UAI 2003: 73-80 |
| 2002 |
|---|
| 31 | | Silja Renooij,
Linda C. van der Gaag,
Simon Parsons:
Propagation of Multiple Observations in QPNs Revisited.
ECAI 2002: 665-669 |
| 30 | | Hans L. Bodlaender,
Frank van den Eijkhof,
Linda C. van der Gaag:
On the Complexity of the MPA Problem in Probabilistic Networks.
ECAI 2002: 675-679 |
| 29 | | Eveline M. Helsper,
Linda C. van der Gaag:
Building Bayesian Networks through Ontologies.
ECAI 2002: 680-684 |
| 28 | EE | Linda C. van der Gaag,
Eveline M. Helsper:
Experiences with Modelling Issues in Building Probabilistic Networks.
EKAW 2002: 21-26 |
| 27 | | Silja Renooij,
Linda C. van der Gaag:
From Qualitative to Quantitative Probabilistic Networks.
UAI 2002: 422-429 |
| 26 | | Veerle M. H. Coupé,
Linda C. van der Gaag:
Properties of Sensitivity Analysis of Bayesian Belief Networks.
Ann. Math. Artif. Intell. 36(4): 323-356 (2002) |
| 25 | EE | Silja Renooij,
Linda C. van der Gaag,
Simon Parsons:
Context-specific sign-propagation in qualitative probabilistic networks.
Artif. Intell. 140(1/2): 207-230 (2002) |
| 24 | | 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.
Artificial Intelligence in Medicine 25(2): 123-148 (2002) |
| 2001 |
|---|
| 23 | EE | Linda C. van der Gaag,
C. L. M. Witteman,
Silja Renooij,
Michael Egmont-Petersen:
The Effects of Disregarding Test Characteristics in Probabilistic Networks.
AIME 2001: 188-198 |
| 22 | EE | Linda C. van der Gaag,
Silja Renooij:
On the Evaluation of Probabilistic Networks.
AIME 2001: 457-461 |
| 21 | | Silja Renooij,
Simon Parsons,
Linda C. van der Gaag:
Context-specific Sign-propagation in Qualitative Probabilistic Networks.
IJCAI 2001: 667-672 |
| 20 | EE | Hans L. Bodlaender,
Arie M. C. A. Koster,
Frank van den Eijkhof,
Linda C. van der Gaag:
Pre-processing for Triangulation of Probabilistic Networks.
UAI 2001: 32-39 |
| 19 | EE | Linda C. van der Gaag,
Silja Renooij:
Analysing Sensitivity Data from Probabilistic Networks.
UAI 2001: 530-537 |
| 2000 |
|---|
| 18 | | Silja Renooij,
Linda C. van der Gaag,
Shaw Green,
Simon Parsons:
Zooming in on Trade-Offs in Qualitative Probabilistic Networks.
FLAIRS Conference 2000: 303-307 |
| 17 | EE | Uffe Kjærulff,
Linda C. van der Gaag:
Making Sensitivity Analysis Computationally Efficient.
UAI 2000: 317-325 |
| 16 | EE | Silja Renooij,
Linda C. van der Gaag,
Simon Parsons,
Shaw Green:
Pivotal Pruning of Trade-offs in QPNs.
UAI 2000: 515-522 |
| 15 | EE | Marek J. Druzdzel,
Linda C. van der Gaag:
Building Probabilistic Networks: "Where Do the Numbers Come From?" Guest Editors Introduction.
IEEE Trans. Knowl. Data Eng. 12(4): 481-486 (2000) |
| 1999 |
|---|
| 14 | EE | Linda C. van der Gaag,
Veerle M. H. Coupé:
Sensitive Analysis for Threshold Decision Making with Bayesian Belief Networks.
AI*IA 1999: 37-48 |
| 13 | EE | Silja Renooij,
Linda C. van der Gaag:
Enhancing QPNs for Trade-off Resolution.
UAI 1999: 559-566 |
| 12 | EE | Linda C. van der Gaag,
Silja Renooij,
C. L. M. Witteman,
B. M. P. Aleman,
B. G. Taal:
How to Elicit Many Probabilities.
UAI 1999: 647-654 |
| 1998 |
|---|
| 11 | | Silja Renooij,
Linda C. van der Gaag:
Decision Making in Qualitative Influence Diagrams.
FLAIRS Conference 1998: 410-414 |
| 1997 |
|---|
| 10 | | Veerle M. H. Coupé,
Linda C. van der Gaag:
Supporting Probability Elicitation by Sensitivity Analysis.
EKAW 1997: 335-340 |
| 1996 |
|---|
| 9 | | Linda C. van der Gaag:
Bayesian Belief Networks: Odds and Ends.
Comput. J. 39(2): 97-113 (1996) |
| 8 | EE | Linda C. van der Gaag:
On evidence absorption for belief networks.
Int. J. Approx. Reasoning 15(3): 265-286 (1996) |
| 1995 |
|---|
| 7 | | Niels Peek,
Linda C. van der Gaag:
A Case-based Filter for Diagnostic Belief Networks.
SCAI 1995: 196-207 |
| 6 | EE | Marek J. Druzdzel,
Linda C. van der Gaag:
Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information.
UAI 1995: 141-148 |
| 1993 |
|---|
| 5 | EE | Peter Bruza,
Linda C. van der Gaag:
Efficient Context-Sensitive Plausible Inference for Information Disclosure.
SIGIR 1993: 12-21 |
| 4 | | Gerry Kelleher,
Linda C. van der Gaag:
The LazyRMS: Avoiding Work in the ATMS.
Computational Intelligence 9: 239-253 (1993) |
| 1990 |
|---|
| 3 | EE | Linda C. van der Gaag:
Computing probability intervals under independency constraints.
UAI 1990: 457-466 |
| 2 | | Linda C. van der Gaag:
Different Notions of Uncertainty in Quasi-Probabilistic Models.
International Journal of Man-Machine Studies 33(5): 595-606 (1990) |
| 1989 |
|---|
| 1 | EE | Linda C. van der Gaag:
A conceptual model for inexact reasoning in rule-based systems.
Int. J. Approx. Reasoning 3(3): 239-258 (1989) |
