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Peter J.F. Lucas

prof.dr.

 https://orcid.org/0000-0001-5454-2428
Calculated based on number of publications stored in Pure and citations from Scopus
1989 …2024

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  • 2024

    Model-based Probabilistic Diagnosis in Large Cyberphysical Systems

    Dal, G., Hommersom, A., Grievink, G. & Lucas, P. J. F., 2024, Proceedings of the 8th European Conference of the Prognostics and Health Management Society (PHME 2024). Doc, P. & Ezhilarasu, C. (eds.). PHM Society, p. 643-654 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    7 Downloads (Pure)
  • 2023

    Causal Discovery with Missing Data in a Multicentric Clinical Study

    Zanga, A., Bernasconi, A., Lucas, P. J. F., Pijnenborg, H., Reijnen, C., Scutari, M. & Stella, F., 2023, Artificial Intelligence in Medicine: 21st International Conference on Artificial Intelligence in Medicine, AIME 2023, Portorož, Slovenia, June 12–15, 2023, Proceedings. Juarez, J. M., Marcos, M., Stiglic, G. & Tucker, A. (eds.). Cham: Springer, p. 40-44 5 p. (Lecture Notes in Computer Science; vol. 13897).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    3 Citations (Scopus)

  • ParaGnosis: A Tool for Parallel Knowledge Compilation

    Dal, G. H., Laarman, A. & Lucas, P. J. F., 2023, Model Checking Software: 29th International Symposium, SPIN 2023, Paris, France, April 26–27, 2023, Proceedings. Caltais, G. & Schilling, C. (eds.). Cham: Springer, p. 22-37 16 p. (Lecture Notes in Computer Science; vol. 13872).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • Towards a Transportable Causal Network Model Based on Observational Healthcare Data

    Bernasconi, A., Zanga, A., Lucas, P. J. F., Scutari, M. & Stella, F., 2023, HC@AIxIA 2023: Proceedings of the 2nd AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2023). Calimeri , F., Dragoni , M. & Stella, F. (eds.). Aachen: CEUR, p. 122-129 8 p. (CEUR workshop proceedings; vol. 3578).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
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    2 Citations (Scopus)
    102 Downloads (Pure)
  • 2022

    Risk Assessment of Lymph Node Metastases in Endometrial Cancer Patients: A Causal Approach

    Zanga, A., Bernasconi, A., Lucas, P. J. F., Pijnenborg, H., Reijnen, C., Scutari, M. & Stella, F., 2022, HC@AIxIA 2022: 1st AIxIA Workshop on Artificial Intelligence For Healthcare (HC@AIxIA 2022). Calimeri, F., Dragoni, M. & Stella, F. (eds.). Aachen: CEUR, p. 1-15 15 p. (CEUR workshop proceedings; vol. 3307).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
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    2 Citations (Scopus)
    75 Downloads (Pure)
  • 2020

    Temporal exceptional model mining using dynamic Bayesian networks

    Bueno, M. L. P., Hommersom, A. & Lucas, P. J. F., 2020, Advanced Analytics and Learning on Temporal Data - 5th ECML PKDD Workshop, AALTD 2020, Revised Selected Papers. Lemaire, V., Malinowski, S., Bagnall, A., Guyet, T., Tavenard, R. & Ifrim, G. (eds.). Springer, p. 97-112 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12588 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
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    3 Citations (Scopus)
    171 Downloads (Pure)
  • 2019

    A Data-Driven Exploration of Hypotheses on Disease Dynamics

    Bueno, M. L. P., Hommersom, A., Lucas, P. J. F. & Janzing, J., 2019, Artificial Intelligence in Medicine: 17th Conference on Artificial Intelligence in Medicine, AIME 2019, Poznan, Poland, June 26–29, 2019, Proceedings. Cham: Springer, p. 170-179 (Lecture Notes in Computer Science; vol. 11526).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • 2018

    An improved diagnostic method for probabilistic consistency-based diagnosis

    de Paula Bueno, M. L., Hommersom, A. & Lucas, P., 2018, 28th International Workshop on Principles of Diagnosis (DX '17). Zanella, M., Pill, I. & Cimatti, A. (eds.). EasyChair, Vol. 4. p. 65-77 13 p. (Kalpa Publications in Computing).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    20 Downloads (Pure)

  • Making continuous time Bayesian networks more flexible

    Liu, M., Stella, F., Hommersom, A. & Lucas, P. J. F., 2018, Proceedings of the Ninth International Conference on Probabilistic Graphical Models: 11-14 September 2018, Prague, Czech Republic. Kratochvíl, V. & Studený, M. (eds.). MLResearchPress, p. 237-248 12 p. (Proceedings of Machine Learning Research (PMLR); vol. 72).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    4 Citations (Scopus)
    4 Downloads (Pure)

  • Modeling the dynamics of multiple disease occurrence by latent states

    Bueno, M. L. P., Hommersom, A., Lucas, P. J. F., Lobo, M. & Rodrigues, P. P., 2018, Scalable Uncertainty Management : 12th International Conference, SUM 2018, Milan, Italy, October 3-5, 2018, Proceedings. Ciucci, D., Pasi, G. & Vantaggi, B. (eds.). Cham: Springer, p. 93-107 15 p. (Lecture Notes in Computer Science; vol. 11142).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    4 Citations (Scopus)

  • Parallel probabilistic inference by weighted model counting

    Dal, G. H., Laarman, A. W. & Lucas, P. J. F., 2018, Proceedings of the Ninth International Conference on Probabilistic Graphical Models: 11-14 September 2018, Prague, Czech Republic. Kratochvíl, V. & Studený, M. (eds.). MLResearchPress, p. 97-108 12 p. (Proceedings of Machine Learning Research (PMLR); vol. 72).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
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    2 Citations (Scopus)
    13 Downloads (Pure)

  • Representing hypoexponential distributions in continuous time Bayesian networks

    Liu, M., Stella, F., Hommersom, A. & Lucas, P. J. F., 2018, Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications: 17th International Conference, IPMU 2018, Cádiz, Spain, June 11-15, 2018, Proceedings, Part III. Perfilieva, I., Medina, J., Ojeda-Aciego, M., Yager, R. R., Verdegay, J. L. & Bouchon-Meunier, B. (eds.). Cham: Springer, p. 565-577 13 p. (Communications in Computer and Information Science; vol. 855).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    1 Citation (Scopus)
  • 2017

    Reducing the cost of probabilistic knowledge compilation

    Dal, G., Michels, S. & Lucas, P. J. F., 2017, Proceedings of Machine Learning Research: Advanced Methodologies for Bayesian Networks, 20-22 September 2017. Vol. 73. p. 141-152 12 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    9 Downloads (Pure)
  • 2016

    Approximate probabilistic inference with bounded error for hybrid probabilistic logic programming

    Michels, S., Hommersom, A. & Lucas, P. J. F., 2016, IJCAI'16: Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence. Brewka, G. (ed.). New York, NY: AAAI, p. 3616-3622 7 p. (IJCAI International Joint Conference on Artificial Intelligence; vol. 2016, no. 25).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    8 Citations (Scopus)

  • Learning complex uncertain states changes via asymmetric hidden Markov models: an industrial case

    Bueno, M. L. P., Hommersom, A., Lucas, P. J. F., Verwer, S. & Linard, A., 2016, Conference on Probabilistic Graphical Models, 6-9 September 2016, Lugano, Switzerland. Antonucci, A., Corani, G. & Polpo Campos, C. (eds.). MLResearchPress, p. 50–61 (Proceedings of Machine Learning Research (PMLR); vol. 52).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    5 Downloads (Pure)

  • Learning parameters of hybrid time Bayesian networks

    Liu, M., Hommersom, A., Hommersom, A., van der Heijden, M. & Lucas, P. J. F., 2016, Conference on Probabilistic Graphical Models, 6-9 September 2016, Lugano, Switzerland. Antonucci, A., Corani, G. & Polpo Campos, C. (eds.). MLResearchPress, p. 287-298 12 p. (Proceedings of Machine Learning Research (PMLR); vol. 52).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    3 Downloads (Pure)
  • 2015

    Hybrid time bayesian networks

    Liu, M., Hommersom, A., van der Heijden, M. & Lucas, P. J. F., 2015, Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 13th European Conference, ECSQARU 2015, Proceedings. Destercke, S. & Denoeux, T. (eds.). Springer, p. 376-386 11 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9161).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    3 Citations (Scopus)

  • Mining hierarchical pathology data using inductive logic programming

    Op De Beéck, T., Hommersom, A., van Haaren, J., van der Heijden, M., Davis, J., Lucas, P., Overbeek, L. & Nagtegaal, I., 2015, Artificial Intelligence in Medicine - 15th Conference on Artificial Intelligence in Medicine, AIME 2015, Proceedings. Bellazzi, R., Sacchi, L., Holmes, J. H. & Peek, N. (eds.). Springer, p. 76-85 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9105).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    4 Citations (Scopus)
  • 2014

    A decision support model for uncertainty reasoning in safety and security tasks

    Michels, S., Velikova, M., Hommersom, A. & Lucas, P. J. F., 27 Jan 2014, 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013. p. 663-668 6 p. 6721871

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    9 Citations (Scopus)

  • Imprecise probabilistic horn clause logic

    Michels, S., Hommersom, A., Lucas, P. J. F. & Velikova, M., 2014, ECAI 2014: 21st European Conference on Artificial Intelligence, 18-24 August 2014, Prague, Czech Republic. Schaub, T., Friedrich, G. & O'Sullivan, B. (eds.). IOS, p. 621-626 6 p. (Frontiers in Artificial Intelligence and Applications; vol. 263).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    1 Citation (Scopus)
    27 Downloads (Pure)

  • Primary standard for nano flow rates

    Lucas, P., Petter, H. T., Sparreboom, W. & Lötters, J. C., 8 Oct 2014, Proceedings of the Second International Conference on Microfluidic Handling Systems 2014. Freiburg, Germany: University of Freiburg, p. 17-20 4 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic

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    233 Downloads (Pure)
  • 2013

    Discovering probabilistic structures of healthcare processes

    Hommersom, A., Verwer, S. & Lucas, P. J. F., 2013, Process Support and Knowledge Representation in Health Care - AIME 2013 Joint Workshop, KR4HC 2013/ProHealth 2013, Revised Selected Papers. p. 53-67 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 8268 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    5 Citations (Scopus)

  • Inference for a new probabilistic constraint logic

    Michels, S., Hommersom, A., Lucas, P. J. F., Velikova, M. & Koopman, P., 2013, IJCAI 2013 - Proceedings of the 23rd International Joint Conference on Artificial Intelligence. p. 2540-2546 7 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    10 Citations (Scopus)
    2 Downloads (Pure)

  • MoSHCA - My mobile and smart health care assistant

    Hommersom, A., Lucas, P. J. F., Velikova, M., Dal, G., Bastos, J., Rodriguez, J., Germs, M. & Schwietert, H., 2013, 2013 IEEE 15th International Conference on e-Health Networking, Applications and Services, Healthcom 2013. Piscataway, NJ: IEEE, p. 188-192 5 p. 6720664

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    29 Citations (Scopus)

  • Understanding the co-occurrence of diseases using structure learning

    Lappenschaar, M., Hommersom, A., Lagro, J. & Lucas, P. J. F., 2013, Artificial Intelligence in Medicine: 14th Conference on Artificial Intelligence in Medicine, AIME 2013, Murcia, Spain, May 29 -- June 1, 2013, Proceedings. Peek, N., Marín Morales, R. & Peleg, M. (eds.). Berlin, Heidelberg: Springer, p. 135-144 10 p. (Lecture Notes in Computer Science; vol. 7885)(Lecture Notes in Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    13 Citations (Scopus)
  • 2012

    A framework for development, teaching and deployment of inference algorithms

    Evers, S. & Lucas, P. J. F., 2012, Proceedings of the 6th European Workshop on Probabilistic Graphical Models, PGM'12: Granada, Spain, September 19-21, 2012. Nielsen, T. D., Cano, A. & Gomez-Olmedo, M. (eds.). Granada: University of Granada, p. 99-106 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    1 Citation (Scopus)
    15 Downloads (Pure)

  • A Semi-Causal Bayesian Network Approach to Prognosis

    Hommersom, A., Lucas, P. J. F., van Altena, A. M., Massuger, L. F. A. G. & Kiemeney, L. A., 2012, Proceedings of the 29th International Conference on Machine Learning, Edingburgh, Scotland, June 26-July 1, 2012. Langford, J. (ed.). OmniPress, 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    15 Downloads (Pure)

  • Fully-automated interpretation of biochemical tests for decision support by smartphones

    Velikova, M., Lucas, P. J. F., Smeets, R. L. & Terwisscha Van Scheltinga, J., 2012, Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012. Soda, P., Tortorella, F., Antani, S., Pechenizkiy, M., Cannataro, M. & Tsymbal, A. (eds.). IEEE, 6 p. 6266352. (Proceedings - IEEE Symposium on Computer-Based Medical Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    10 Citations (Scopus)

  • Gaussian process regression with censored data using expectation propagation

    Groot, P. & Lucas, P., 2012, Proceedings of the 6th European Workshop on Probabilistic Graphical Models, PGM 2012. p. 115-122 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    13 Citations (Scopus)
    67 Downloads (Pure)

  • Probabilistic causal models of multimorbidity concepts

    Lappenschaar, M., Hommersom, A. & Lucas, P. J. F., 2012, AMIA 2012: Proceedings American Medical Informatics Association Annual Symposium, Chicago, Illinois, USA, November 3-7, 2012. AMIA 2012AMIA 2012, American Medical Informatics Association Annual Symposium, Chicago, Illinois, USA, November 3-7, 2012. AMIA 2012. Curran Associates Inc., p. 475-484 10 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    19 Citations (Scopus)
    19 Downloads (Pure)

  • Probabilistic model-based assessment of information quality in uncertain domains

    Michels, S., Velikova, M. & Lucas, P. J. F., 2012, AI 2012: Advances in Artificial Intelligence - 25th Australasian Joint Conference, Proceedings. p. 890-901 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 7691 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    1 Citation (Scopus)

  • Probabilistic models for smart monitoring

    Van Der Heijden, M. & Lucas, P. J. F., 2012, Proceedings of the 25th IEEE International Symposium on Computer-Based Medical Systems, CBMS 2012. 6266348. (Proceedings - IEEE Symposium on Computer-Based Medical Systems).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

  • Probabilistic reasoning with temporal indeterminacy

    Van Der Heijden, M. & Lucas, P. J. F., 2012, Proceedings of the 6th European Workshop on Probabilistic Graphical Models, PGM 2012. p. 131-138 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    2 Citations (Scopus)

  • Qualitative chain graphs and their use in medicine

    Lappenschaar, M., Hommersom, A. & Lucas, P. J. F., 2012, Proceedings of the 6th European Workshop on Probabilistic Graphical Models, PGM 2012. p. 179-186 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
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    3 Citations (Scopus)
  • 2011

    A predictive Bayesian network model for home management of preeclampsia

    Velikova, M., Lucas, P. J. F. & Spaanderman, M., 2011, Artificial Intelligence in Medicine: 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Bled, Slovenia, July 2-6, 2011, Proceedings. Peleg, M., Lavrač, N. & Combi, C. (eds.). Berlin, Heidelberg: Springer, p. 179-183 5 p. (Lecture Notes in Computer Science; vol. 6747).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    6 Citations (Scopus)

  • Constructing Bayesian Networks for Linear Dynamic Systems

    Evers, S. & Lucas, P. J. F., 2011, BMAW-11: Bayesian Modelling Applications Workshop.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    75 Downloads (Pure)

  • Critiquing knowledge representation in medical image interpretation using structure learning

    Radstake, N., Lucas, P. J. F., Velikova, M. & Samulski, M., 2011, Knowledge Representation for Health-Care - ECAI 2010 Workshop KR4HC 2010, Revised Selected Papers. p. 56-69 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6512 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    5 Citations (Scopus)

  • Discretisation does affect the performance of Bayesian networks

    Robben, S., Velikova, M., Lucas, P. J. F. & Samulski, M., 2011, Research and Development in Intelligent Systems XXVII: Incorporating Applications and Innovations in Intel. Sys. XVIII - AI 2010, 30th SGAI Int. Conf. on Innovative Techniques and Applications of Artificial Intel.. Springer, p. 237-250 14 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    3 Citations (Scopus)

  • E-MomCare: A personalised home-monitoring system for pregnancy disorders

    Velikova, M., Lucas, P. J. F. & Spaanderman, M., 2011, Electronic Healthcare - Third International Conference, eHealth 2010, Revised Selected Papers. p. 267-274 8 p. (Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering; vol. 69 LNICST).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    7 Citations (Scopus)

  • Generalising the interaction rules in probabilistic logic

    Hommersom, A. & Lucas, P. J. F., 2011, IJCAI 2011 - 22nd International Joint Conference on Artificial Intelligence. p. 912-917 6 p. (IJCAI International Joint Conference on Artificial Intelligence).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    11 Citations (Scopus)
    5 Downloads (Pure)

  • Managing COPD exacerbations with telemedicine

    Van Der Heijden, M., Lijnse, B., Lucas, P. J. F., Heijdra, Y. F. & Schermer, T. R. J., 2011, Artificial Intelligence in Medicine - 13th Conference on Artificial Intelligence in Medicine, AIME 2011, Proceedings. p. 169-178 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6747 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    11 Citations (Scopus)

  • Marginalization without summation exploiting determinism in factor algebra

    Evers, S. & Lucas, P. J. F., 2011, Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 11th European Conference, ECSQARU 2011, Proceedings. p. 251-262 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6717 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    1 Citation (Scopus)
  • 2010

    Extracting qualitative knowledge from medical guidelines for clinical decision-support systems

    Van Der Heijden, M. & Lucas, P. J. F., 2010, Knowledge Representation for Health-Care: Data, Processes and Guidelines, AIME 2009, Workshop KR4HC 2009, Revised Selected and Invited Papers. Riaño, D., ten Teije, A., Miksch, S. & Peleg, M. (eds.). Berlin: Springer, p. 100-112 13 p. (Lecture Notes in Artificial Intelligence; vol. 5943).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    2 Citations (Scopus)

  • Modelling the interactions between discrete and continuous causal factors in bayesian networks

    Lucas, P. J. F. & Hommersom, A., 2010, Proceedings of the 5th European Workshop on Probabilistic Graphical Models, PGM 2010. p. 185-192 8 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    2 Citations (Scopus)
    1 Downloads (Pure)

  • Using bayesian networks in an industrial setting: Making printing systems adaptive

    Hommersom, A. & Lucas, P. J. F., 2010, ECAI 2010: 19th European Conference on Artificial Intelligence, 16-20 August 2010, Lisbon, Portugal. Coelho, H., Studer, R. & Wooldridge, M. (eds.). Amsterdam: IOS, p. 401-406 6 p. (Frontiers in Artificial Intelligence and Applications; vol. 215).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    6 Citations (Scopus)
    2 Downloads (Pure)

  • Using local context information to improve automatic mammographic mass detection

    Velikova, M., Lucas, P. J. F. & Karssemeijerb, N., 2010, Medinfo 2010 - Proceedings of the 13th World Congress on Medical Informatics. PART 1 ed. IOS, p. 1291-1295 5 p. (Studies in Health Technology and Informatics; vol. 160, no. PART 1).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    1 Citation (Scopus)
    1 Downloads (Pure)

  • Variable elimination by factor indexing

    Evers, S. & Lucas, P. J. F., 2010, Proceedings of the 5th European Workshop on Probabilistic Graphical Models, PGM 2010. Myllymäki, P., Roos, T. & Jaakkola, T. (eds.). HIIT Publications, p. 129-136 8 p. (HIIT Publications; vol. 2010-2).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

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    17 Downloads (Pure)
  • 2009

    Attacking the knowledge acquisition bottleneck through games-for-modelling

    Hoppenbrouwers, S. J. B. A. & Lucas, P. J. F., 2009, Adaptive and Emergent Behaviour and Complex Systems - Proceedings of the 23rd Convention of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, AISB 2009. p. 81-86 6 p.

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    Open Access
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    4 Citations (Scopus)
    1 Downloads (Pure)

  • Causal probabilistic modelling for two-view mammographic analysis

    Velikova, M., Samulski, M., Lucas, P. J. F. & Karssemeijer, N., 2009, Artificial Intelligence in Medicine - 12th Conference on Artificial Intelligence in Medicine, AIME 2009, Proceedings. p. 395-404 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 5651 LNAI).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review

    2 Citations (Scopus)