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J.H. Bolt, L.C. van der Gaag. Decisiveness in loopy propagation. In: P. Lucas, J.A. Gámez, A. Salmeron (editors). Advances in Probabilistic Graphical Models, Studies in Fuzziness and Soft Computing, vol. 213, Springer, Berlin, pp. 153–173, 2007. (abstract, full paper) |
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J.H. Bolt, L.C van der Gaag. Preprocessing the MAP problem. In M. Studený, J. Vomlel, editors, Proceedings of the Third European Workshop on Probabilistic Graphical Models, Prague, pp. 51–58, 2006. (abstract, full paper) |
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Th. Charitos, P.R. de Waal, L.C. van der Gaag. Computing short-interval transition matrices of a discrete-time Markov chain from partially observed data. Statistics in Medicine, 27, pp. 905–921, 2008. (abstract, full paper (external link)) | |
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Th. Charitos, P.R. de Waal, L.C. van der Gaag. Convergence in Markovian models with implications for efficiency of inference. International Journal of Approximate Reasoning, 46(2), 300–319, 2007. (abstract, full paper (external link)) | |
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Th. Charitos. Smoothed particle filtering for dynamic Bayesian networks. In G. Brewka, S. Coradeschi, A. Perini, P. Traverso (Eds.), Proceedings of the 17th European Conference on Artificial Intelligence (ECAI), IOS press, pp. 745–746, 2006 (abstract, full paper) | |
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Th. Charitos, S. Visscher, L.C. van der Gaag, P.J.F. Lucas, K. Schurink. A dynamic model for therapy selection in ICU patients with VAP. In N. Peek & C. Combi (Eds.), Proceedings of the 11th Intelligent Data Analysis in bioMedicine and Pharmacology Workshop (IDAMAP), pp. 71–76, 2006. (abstract, full paper) | |
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Th. Charitos, L.C. van der Gaag, S. Visscher, K. Schurink, P.J.F. Lucas. A dynamic Bayesian network for diagnosing ventilator-associated pneumonia in ICU patients. In J.H. Holmes & N. Peek (Eds.), Proceedings of the 10th Intelligent Data Analysis in Medicine and Pharmacology Workshop (IDAMAP), pp. 32–37, 2005. (abstract, full paper) | |
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L.C. van der Gaag, H. Tabachneck-Schijf. Library-style ontologies to support varying model views. International Journal of Approximate Reasoning, vol. 51, pp. 196–208, 2010. (abstract, full paper DOI (external link)) |
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S. Renooij, H.J.M. Tabachneck-Schijf, S.M. Mahoney (editors): BMAW '08, Proceedings of the Sixth UAI Bayesian Modelling Applications Workshop, Helsinki, CEUR Workshop Proceedings, ISSN 1613-0073, 2008. Online proceedings: CEUR-WS.org/Vol-406/. |
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H. Tabachneck-Schijf, L.C. van der Gaag (2007). Library-style ontologies to support varying model views. In: K. Blackmond Laskey, J. Goldsmith, S.M. Mahoney (editors). Proceedings of the Fifth Bayesian Modeling Applications Workshop, Vancouver, pp. 78–87, 2007. (abstract, full paper) |
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E.M. Helsper, L.C. van der Gaag. Ontologies for probabilistic networks: a case study in the oesophageal-cancer domain. The Knowledge Engineering Review, vol. 22, pp. 67–86, 2007. (abstract, full paper (from cambridge journals webpage)) |
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A. Feelders, L.C. van der Gaag. Learning Bayesian network parameters under order constraints. International Journal of Approximate Reasoning, vol. 42, pp. 37 – 53, 2006. (abstract, full paper DOI (external link)) |
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E.M. Helsper, L.C. van der Gaag. Generic knowledge structures for probabilistic-network engineering. Proceedings of the Third Bayesian Modeling Applications Workshop, held in conjunction with the Twenty-first Conference on Uncertainty in Artificial Intelligence, Edinburgh, 2005. (abstract, full paper) |
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P.L. Geenen, L.C. van der Gaag. Developing a Bayesian network for clinical diagnosis in veterinary medicine: from the individual to the herd. Proceedings of the Third Bayesian Modelling Applications Workshop, held in conjunction with the Twenty-first Conference on Uncertainty in Artificial Intelligence, Edinburgh, 2005. (abstract, full paper) |
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E.M. Helsper, L.C. van der Gaag, A.J. Feelders, W.L.A. Loeffen, P.L. Geenen, A.R.W. Elbers. Bringing order into Bayesian-network construction. Proceedings of the Third International Conference on Knowledge Capture, ACM Press, New York, pp. 121–128, 2005. (abstract, full paper (PS),(PDF)) |
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L.C. van der Gaag, S. Renooij, V.M.H. Coupé. Sensitivity analysis of probabilistic networks. In: P. Lucas, J.A. Gámez, A. Salmeron (editors). Advances in Probabilistic Graphical Models, Studies in Fuzziness and Soft Computing, vol. 213, Springer, Berlin, pp. 103–124, 2007. (abstract, full paper) | |
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L.C. van der Gaag, S. Renooij, P.L. Geenen. Lattices for studying monotonicity of Bayesian networks. In: M. Studený, J. Vomlel (editors). Proceedings of the Third European Workshop on Probabilistic Graphical Models, Prague, Czech Republic, pp. 99–106, 2006. (abstract, full paper) | |
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L.C. van der Gaag, S. Renooij. On the sensitivity of probabilistic networks to reliability characteristics. In: B. Bouchon-Meunier, G. Coletti, R.R. Yager (editors). Modern Information Processing: From Theory to Applications, Elsevier, Amsterdam, pp. 395–405, 2006. (abstract, full paper) | |
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W. Steeneveld, L.C. van der Gaag, H.W. Barkema, H. Hogeveen. Bayesian networks for mastitis management on dairy farms. In: Proceedings of the 2009 Meeting of the Society for Veterinary Epidemiology and Preventive Medicine, London, UK, pp. 126–135, 2009. (abstract, full paper) |
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Th. Charitos, S. Visscher, L.C. van der Gaag, P.J.F. Lucas, K. Schurink. A dynamic model for therapy selection in ICU patients with VAP. In N. Peek & C. Combi (Eds.), Proceedings of the 11th Intelligent Data Analysis in bioMedicine and Pharmacology Workshop (IDAMAP), pp. 71–76, 2006. (abstract, full paper) |
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P.L. Geenen, A.R.W. Elbers, L.C. van der Gaag, W.L.A. Loeffen. Development of a probabilistic network for clinical detection of classical swine fever. In Proceedings of the 11th Symposium of the International Society for Veterinary Epidemiology and Economics, Cairns, Australia, pp. 667–669, 2006. (abstract, full paper) |
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L.C. van der Gaag, S. Renooij, W. Steeneveld, H. Hogeveen. When in doubt ... be indecisive. In: C. Sossai, G. Chemello (editors). Proceedings of the Tenth European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, LNCS 5590, Springer, New York, pp. 518–529, 2009 (abstract, full paper [© Springer-Verlag]) |
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S. Renooij, L.C. van der Gaag. Evidence and scenario sensitivities in naive Bayesian classifiers. In: M. Studený, J. Vomlel (editors). Proceedings of the Third European Workshop on Probabilistic Graphical Models, Prague, Czech Republic, pp. 255–262, 2006. (abstract, full paper) |
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L.C. van der Gaag, P.R. de Waal, Multi-dimensional Bayesian Network Classifiers. In: M. Studený, J. Vomlel (editors). Proceedings of the Third European Workshop in Probabilistic Graphical Models, Prague, Prague, pp. 107–114, 2006. (abstract, full paper) |
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P.L. Geenen, L.C. van der Gaag,
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D. Sent, L.C. van der Gaag. On the behaviour of information measures for test selection. In: R. Bellazzi, A. Abu-Hanna, J Hunter (editors). Proceedings of Artifical Intelligence in Medicine Europe 2007, Springer-Verlag, Berlin Heidelberg, LNAI 4594, pp. 316–325, 2007. (abstract, full paper) |
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D. Sent, L.C. van der Gaag. Enhancing automated test selection in probabilistic networks. In: R. Bellazzi, A. Abu-Hanna, J Hunter (editors). Proceedings of Artifical Intelligence in Medicine Europe 2007, Springer-Verlag, Berlin Heidelberg, LNAI 4594, pp. 331–335, 2007. (abstract, full paper) |
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D. Sent, L.C. van der Gaag. Automated test selection in decision-support systems: a case study in oncology. In: Ubiquity: Technologies for Better Health in Aging Societies - Proceedings of MIE2006, Studies in Health Technology and Informatics 124. IOS Press, pp. 491–496, 2006. (abstract, full paper) |
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D. Sent, L.C. van der Gaag, C.L.M. Witteman, B.M.P. Aleman, B.G. Taal. Eliciting test-selection strategies for a decision-support system in oncology. The Interdisciplinary Journal of Artificial Intelligence and the Simulation of Behaviour, vol. 1(6), pp. 543–561, 2005. (abstract, full paper) |
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D. Sent, L.C. van der Gaag, C.L.M. Witteman, B.M.P Aleman, B.G. Taal. On the use of vignettes for eliciting test-selection strategies. In: R. Baud, M. Fieschi, P. Le Beux, P. Ruch (editors). The New Navigators: from Professionals to Patients – Proceedings of MIE2003, Studies in Health Technology and Informatics 95, IOS Press, Amsterdam, pp. 510–515, 2003. (abstract, full paper) |
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M.M. Schrage, A. van IJzendoorn,
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