Linda C. van der Gaag

	2011
88		Steven P. D. Woudenberg, Linda C. van der Gaag: Using the Noisy-OR Model Can Be Harmful ... But It Often Is Not. ECSQARU 2011: 122-133
87		Merel T. Rietbergen, Linda C. van der Gaag: Attaining Monotonicity for Bayesian Networks. ECSQARU 2011: 134-145
86		Linda C. van der Gaag, Hans L. Bodlaender: On Stopping Evidence Gathering for Diagnostic Bayesian Networks. ECSQARU 2011: 170-181
85		Barbara F. I. Pieters, Linda C. van der Gaag, Ad Feelders: When Learning Naive Bayesian Classifiers Preserves Monotonicity. ECSQARU 2011: 422-433
84		Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag: The Complexity of Finding kth Most Probable Explanations in Probabilistic Networks. SOFSEM 2011: 356-367
	2010
83		Johan Kwisthout, Hans L. Bodlaender, Linda C. van der Gaag: The Necessity of Bounded Treewidth for Efficient Inference in Bayesian Networks. ECAI 2010: 237-242
82		Linda C. van der Gaag, Janneke H. Bolt, Willie Loeffen, Armin Elbers: Modelling Patterns of Evidence in Bayesian Networks: A Case-Study in Classical Swine Fever. IPMU 2010: 675-684
81		Janneke H. Bolt, Linda C. van der Gaag: An Empirical Study of the Use of the Noisy-Or Model in a Real-Life Bayesian Network. IPMU (1) 2010: 11-20
80		Linda C. van der Gaag, Hermina J. M. Tabachneck-Schijf: Library-style ontologies to support varying model views. Int. J. Approx. Reasoning 51(2): 196-208 (2010)
	2009
79		Linda C. van der Gaag, Silja Renooij, Wilma Steeneveld, Henk Hogeveen: When in Doubt ... Be Indecisive. ECSQARU 2009: 518-529
78		Linda C. van der Gaag, Silja Renooij, Ad Feelders, Arend de Groote, Marinus J. C. Eijkemans, Frank J. Broekmans, Bart C. J. M. Fauser: Aligning Bayesian Network Classifiers with Medical Contexts. MLDM 2009: 787-801
77		Theodore Charitos, Linda C. van der Gaag, Stefan Visscher, Karin Schurink, Peter J. F. Lucas: A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. Expert Syst. Appl. 36(2): 1249-1258 (2009)
76		Linda C. van der Gaag, Russell Almond: Preface. Int. J. Approx. Reasoning 50(3): 415 (2009)
75		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
74		Johan Kwisthout, Linda C. van der Gaag: The Computational Complexity of Sensitivity Analysis and Parameter Tuning. UAI 2008: 349-356
73		Silja Renooij, Linda C. van der Gaag: Enhanced qualitative probabilistic networks for resolving trade-offs. Artif. Intell. 172(12-13): 1470-1494 (2008)
72		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
71		Ronald Parr, Linda C. van der Gaag: UAI 2007, Proceedings of the Twenty-Third Conference on Uncertainty in Artificial Intelligence, Vancouver, BC, Canada, July 19-22, 2007 AUAI Press 2007
70		Danielle Sent, Linda C. van der Gaag: On the Behaviour of Information Measures for Test Selection. AIME 2007: 316-325
69		Danielle Sent, Linda C. van der Gaag: Enhancing Automated Test Selection in Probabilistic Networks. AIME 2007: 331-335
68		Hermina J. M. Tabachneck-Schijf, Linda C. van der Gaag: Library-style Ontologies to Support Varying Model Views. BMA 2007
67		Peter R. de Waal, Linda C. van der Gaag: Inference and Learning in Multi-dimensional Bayesian Network Classifiers. ECSQARU 2007: 501-511
66		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)
65		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
64		Theodore Charitos, Linda C. van der Gaag: Sensitivity Analysis of Markovian Models. FLAIRS Conference 2006: 806-811
63		Danielle Sent, Linda C. van der Gaag: Automated Test Selection in Decision-Support Systems: a Case Study in Oncology. MIE 2006: 491-496
62		Linda C. van der Gaag, Peter R. de Waal: Multi-dimensional Bayesian Network Classifiers. Probabilistic Graphical Models 2006: 107-114
61		Silja Renooij, Linda C. van der Gaag: Evidence and Scenario Sensitivities in Naive Bayesian Classifiers. Probabilistic Graphical Models 2006: 255-262
60		Janneke H. Bolt, Linda C. van der Gaag: Preprocessing the MAP Problem. Probabilistic Graphical Models 2006: 51-58
59		Linda C. van der Gaag, Silja Renooij, Petra L. Geenen: Lattices for Studying Monotonicity of Bayesian Networks. Probabilistic Graphical Models 2006: 99-106
58		Theodore Charitos, Linda C. van der Gaag: Sensitivity Analysis for Threshold Decision Making with Dynamic Networks. UAI 2006
57		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
56		Theodore Charitos, Peter R. de Waal, Linda C. van der Gaag: Speeding Up Inference in Markovian Models. FLAIRS Conference 2005: 785-790
55		Martijn M. Schrage, Arjan van IJzendoorn, Linda C. van der Gaag: Haskell ready to dazzle the real world. Haskell 2005: 17-26
54		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
53		Peter R. de Waal, Linda C. van der Gaag: Stable Independence in Perfect Maps. UAI 2005: 161-168
52		A. J. Feelders, Linda C. van der Gaag: Learning Bayesian Network Parameters with Prior Knowledge about Context-Specific Qualitative Influences. UAI 2005: 193-200
51		Silja Renooij, Linda C. van der Gaag: Exploiting Evidence-dependent Sensitivity Bounds. UAI 2005: 485-492
50		Danielle Sent, Linda C. van der Gaag: Generalised reliability characteristics for probabilistic networks. Artificial Intelligence in Medicine 34(1): 41-52 (2005)
49		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
48		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
47		Madalina M. Drugan, Linda C. van der Gaag: A New MDL-Based Function for Feature Selection for Bayesian Network Classifiers. ECAI 2004: 999-1000
46		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
45		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
44		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
43		Peter R. de Waal, Linda C. van der Gaag: Stable Independance and Complexity of Representation. UAI 2004: 112-119
42		Silja Renooij, Linda C. van der Gaag: Evidence-invariant Sensitivity Bounds. UAI 2004: 479-486
41		Linda C. van der Gaag, Hans L. Bodlaender, A. J. Feelders: Monotonicity in Bayesian Networks. UAI 2004: 569-576
40		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
39		Danielle Sent, Linda C. van der Gaag: Detailing Test Characteristics for Probabilistic Networks. AIME 2003: 254-263
38		Linda C. van der Gaag, Silja Renooij: Probabilistic Networks as Probabilistic Forecasters. AIME 2003: 294-298
37		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
36		Janneke H. Bolt, Linda C. van der Gaag, Silja Renooij: Introducing Situational Influences in QPNs. ECSQARU 2003: 113-124
35		Steven van Dijk, Dirk Thierens, Linda C. van der Gaag: Building a GA from Design Principles for Learning Bayesian Networks. GECCO 2003: 886-897
34		Steven van Dijk, Linda C. van der Gaag, Dirk Thierens: A Skeleton-Based Approach to Learning Bayesian Networks from Data. PKDD 2003: 132-143
33		Janneke H. Bolt, Silja Renooij, Linda C. van der Gaag: Upgrading Ambiguous Signs in QPNs. UAI 2003: 73-80
	2002
32		Silja Renooij, Linda C. van der Gaag, Simon Parsons: Propagation of Multiple Observations in QPNs Revisited. ECAI 2002: 665-669
31		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
30		Eveline M. Helsper, Linda C. van der Gaag: Building Bayesian Networks through Ontologies. ECAI 2002: 680-684
29		Linda C. van der Gaag, Eveline M. Helsper: Experiences with Modelling Issues in Building Probabilistic Networks. EKAW 2002: 21-26
28		Silja Renooij, Linda C. van der Gaag: From Qualitative to Quantitative Probabilistic Networks. UAI 2002: 422-429
27		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)
26		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)
25		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
24		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
23		Linda C. van der Gaag, Silja Renooij: On the Evaluation of Probabilistic Networks. AIME 2001: 457-461
22		Silja Renooij, Simon Parsons, Linda C. van der Gaag: Context-specific Sign-propagation in Qualitative Probabilistic Networks. IJCAI 2001: 667-672
21		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
20		Linda C. van der Gaag, Silja Renooij: Analysing Sensitivity Data from Probabilistic Networks. UAI 2001: 530-537
	2000
19		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
18		Uffe Kjærulff, Linda C. van der Gaag: Making Sensitivity Analysis Computationally Efficient. UAI 2000: 317-325
17		Silja Renooij, Linda C. van der Gaag, Simon Parsons, Shaw Green: Pivotal Pruning of Trade-offs in QPNs. UAI 2000: 515-522
16		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
15		Linda C. van der Gaag, Veerle M. H. Coupé: Sensitive Analysis for Threshold Decision Making with Bayesian Belief Networks. AI*IA 1999: 37-48
14		Silja Renooij, Linda C. van der Gaag: Enhancing QPNs for Trade-off Resolution. UAI 1999: 559-566
13		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
12		Silja Renooij, Linda C. van der Gaag: Decision Making in Qualitative Influence Diagrams. FLAIRS Conference 1998: 410-414
	1997
11		Veerle M. H. Coupé, Linda C. van der Gaag: Supporting Probability Elicitation by Sensitivity Analysis. EKAW 1997: 335-340
	1996
10		Linda C. van der Gaag: Bayesian Belief Networks: Odds and Ends. Comput. J. 39(2): 97-113 (1996)
9		Linda C. van der Gaag: On evidence absorption for belief networks. Int. J. Approx. Reasoning 15(3): 265-286 (1996)
	1995
8		Niels Peek, Linda C. van der Gaag: A Case-based Filter for Diagnostic Belief Networks. SCAI 1995: 196-207
7		Marek J. Druzdzel, Linda C. van der Gaag: Elicitation of Probabilities for Belief Networks: Combining Qualitative and Quantitative Information. UAI 1995: 141-148
	1993
6		Peter Bruza, Linda C. van der Gaag: Efficient Context-Sensitive Plausible Inference for Information Disclosure. SIGIR 1993: 12-21
5		Gerry Kelleher, Linda C. van der Gaag: The LazyRMS: Avoiding Work in the ATMS. Computational Intelligence 9: 239-253 (1993)
	1991
4		Peter J. F. Lucas, Linda C. van der Gaag: Principles of expert systems. Addison-Wesley 1991: I-XVII, 1-518
	1990
3		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		Linda C. van der Gaag: A conceptual model for inexact reasoning in rule-based systems. Int. J. Approx. Reasoning 3(3): 239-258 (1989)

Coauthor Index

1	Ameen Abu-Hanna	[40]
2	B. M. P. Aleman	[13] [25]
3	Russell Almond	[76]
4	Rosa Blanco	[44]
5	Hans L. Bodlaender	[21] [31] [41] [83] [84] [86]
6	Janneke H. Bolt	[33] [36] [49] [60] [81] [82]
7	Frank J. Broekmans	[78]
8	Peter Bruza (Peter D. Bruza)	[6]
9	Theodore Charitos	[56] [58] [64] [66] [77]
10	Veerle M. H. Coupé	[11] [15] [27]
11	Steven van Dijk	[34] [35]
12	Madalina M. Drugan	[47]
13	Marek J. Druzdzel	[7] [16]
14	Michael Egmont-Petersen	[24]
15	Marinus J. C. Eijkemans	[78]
16	Frank van den Eijkhof	[21] [31]
17	Armin Elbers	[45] [54] [82]
18	Bart C. J. M. Fauser	[78]
19	A. J. Feelders (Ad Feelders)	[41] [52] [54] [57] [78] [85]
20	Petra L. Geenen	[45] [54] [59] [75]
21	Yolanda van der Graaf	[37]
22	Shaw Green	[17] [19]
23	Floris Groenendaal	[46]
24	Arend de Groote	[78]
25	Eveline M. Helsper	[29] [30] [46] [48] [54] [65]
26	Henk Hogeveen	[79]
27	Arjan van IJzendoorn	[55]
28	Iñaki Inza	[44]
29	Gerry Kelleher	[5]
30	Uffe Kjærulff	[18]
31	Arie M. C. A. Koster	[21]
32	Johan Kwisthout	[74] [83] [84]
33	Pedro Larrañaga	[44]
34	Willie Loeffen	[45] [54] [82]
35	Peter J. F. Lucas	[4] [40] [77]
36	Ronald Parr	[71]
37	Simon Parsons	[17] [19] [22] [26] [32]
38	Niels Peek	[8]
39	Barbara F. I. Pieters	[85]
40	Silja Renooij	[12] [13] [14] [17] [19] [20] [22] [23] [24] [25] [26] [28] [32] [33] [36] [38] [42] [49] [51] [59] [61] [72] [73] [78] [79]
41	Merel T. Rietbergen	[87]
42	Wouter P. van Rijsinge	[37]
43	Martijn M. Schrage	[55]
44	Karin Schurink (Carolina A. M. Schurink)	[77]
45	Danielle Sent	[39] [50] [63] [69] [70]
46	Wilma Steeneveld	[79]
47	B. G. Taal	[13] [25]
48	Hermina J. M. Tabachneck-Schijf	[68] [75] [80]
49	Dirk Thierens	[34] [35]
50	Stefan Visscher	[77]
51	Frank L. J. Visseren	[37]
52	Peter R. de Waal	[43] [53] [56] [62] [66] [67]
53	Cilia Witteman (C. L. M. Witteman)	[13] [24] [25]
54	Steven P. D. Woudenberg	[88]

Colors in the list of coauthors

Last update Wed May 30 22:34:44 2012 CET by the DBLP Team — Data released under the ODC-BY 1.0 license — See also our legal information page