Peter J.F. Lucas

prof.dr.

Calculated based on number of publications stored in Pure and citations from Scopus
1989 …2024

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  • 2016

    Representing knowledge for clinical diagnostic reasoning

    Lucas, P. J. F. & Orihuela-Espina, F., 8 Jan 2016, Foundations of Biomedical Knowledge Representation: Methods and Applications. Springer, p. 35-45 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9521).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    2 Citations (Scopus)
  • 2015

    An introduction to knowledge representation and reasoning in healthcare

    Hommersom, A. & Lucas, P. J. F., 2015, Foundations of Biomedical Knowledge Representation: Methods and Applications. Hommersom, A. & Lucas, P. J. F. (eds.). Cham: Springer, p. 9-32 24 p. (Lecture Notes in Computer Science; vol. 9521).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    4 Citations (Scopus)
  • How to read the book “foundations of biomedical knowledge representation”

    Lucas, P. J. F. & Hommersom, A., 2015, Foundations of Biomedical Knowledge Representation: Methods and Applications. Hommersom, A. & Lucas, P. J. F. (eds.). Cham: Springer, p. 3-7 5 p. (Lecture Notes in Computer Science; vol. 9521).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    1 Citation (Scopus)
  • Supporting active patient self-care

    van der Heijden, M., Velikova, M. & Lucas, P. J. F., 1 Jan 2015, Information Technology for Patient Empowerment in Healthcare. Walter de Gruyter GmbH, p. 227-240 14 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    1 Citation (Scopus)
  • 2013

    Adaptive control strategies for productive toner printers

    van den Bosch, P., Cochior, C., Ezzeldin, M., Groot, P., Lucas, P., Verriet, J., Waarsing, R. & Weiland, S., 2013, Model-Based Design of Adaptive Embedded Systems. Basten, T., Hamberg, R., Reckers, F. & Verriet, J. (eds.). New York, NY: Springer, p. 87-123 37 p. (Embedded Systems).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

  • Reasoning with uncertainty about system behaviour: making printing systems adaptive

    Evers, S., Hommersom, A., Lucas, P., Cochior, C. & van den Bosch, P., 2013, Model-Based Design of Adaptive Embedded Systems. Basten, T., Hamberg, R., Reckers, F. & Verriet, J. (eds.). New York, NY: Springer, p. 125-158 34 p. (Embedded Systems).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

  • 2011

    Applying Bayesian networks for intelligent adaptable printing systems

    Hommersom, A., Lucas, P. J. F., Waarsing, R. & Koopman, P., 2011, Solutions on Embedded Systems. Conti, M., Orcioni, S., Madrid, N. M. & Seepold, R. (eds.). p. 201-213 13 p. (Lecture Notes in Electrical Engineering; vol. 81 LNEE).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

  • 2010

    An advanced probabilistic framework for assisting screening mammogram interpretation

    Velikova, M., Ferreira, N., Samulski, M., Lucas, P. J. F. & Karssemeijer, N., 2010, Computational Intelligence in Healthcare 4: Advanced Methodologies. Springer, p. 371-395 25 p. (Studies in Computational Intelligence; vol. 309).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    1 Citation (Scopus)
  • 2007

    Biomedical applications of Bayesian networks

    Lucas, P. J. F., 2007, Advances in Probabilistic Graphical Models. Lucas, P., Gámez, J. A. & Salmero, A. (eds.). Berlin, Heidelberg: Springer, p. 333-358 26 p. (Studies in Fuzziness and Soft Computing; vol. 213).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    4 Citations (Scopus)
  • Markov equivalence in Bayesian networks

    Flesch, I. & Lucas, P. J. F., 2007, Advances in Probabilistic Graphical Models. Lucas, P., Gamez, J. & Salmero, A. (eds.). p. 3-38 36 p. (Studies in Fuzziness and Soft Computing; vol. 213).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    10 Citations (Scopus)
  • The role of background knowledge in Bayesian classification

    van Gerven, M. & Lucas, P. J. F., 2007, Advances in Probabilistic Graphical Models. Lucas, P., Gamez, J. & Salmero, A. (eds.). p. 377-396 20 p. (Studies in Fuzziness and Soft Computing; vol. 213).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    1 Citation (Scopus)
  • 2006

    Verification of medical guidelines using task execution with background knowledge

    Hommersom, A., Groot, P., Lucas, P., Balser, M. & Schmitt, J., 2006, ECAI 2006: 17th European Conference on Artificial Intelligence August 29 - September 1, 2006, Riva del Garda, Italy. Brewka, G., Coradeschi, S., Perini, A. & Traverso, P. (eds.). IOS, p. 835-836 2 p. (Frontiers in Artificial Intelligence and Applications; vol. 141).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

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  • 2004

    Employing maximum mutual information for Bayesian classification

    van Gerven, M. & Lucas, P., 2004, Biological and Medical Data Analysis: 5th International Symposium, ISBMDA 2004, Barcelona, Spain, November 18-19, 2004, Proceedings. Barreiro, J. M., Martín-Sánchez, F., Maojo, V. & Sanz, F. (eds.). Berlin, Heidelberg: Springer, p. 188-199 12 p. (Lecture Notes in Computer Science; vol. 3337).

    Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

    2 Citations (Scopus)