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Bibliografie

Martin Plajner

  1. Plajner Martin, Vomlel JiříBayesian Networks for the Test Score Prediction: A Case Study on a Math Graduation Exam , Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021., p. 255-267 , Eds: Vejnarová Jiřina, Wilson Nic, ECSQARU 2021 : Symbolic and Quantitative Approaches to Reasoning with Uncertainty, (Praha, CZ, 20210921) [2021] Download DOI: 10.1007/978-3-030-86772-0_19
  2. Carpitella Silvia, Izquierdo J., Plajner Martin, Vomlel JiříIntegrating the human factor in FMECA-based risk evaluation through Bayesian networks , Modelling for Engineering & Human Behaviour 2020, p. 24-29, Mathematical Modelling Conference in Engineering & Human Behaviour 2020, (Valencia, ES, 20200708) [2020] Download
  3. Plajner Martin, Vomlel JiříGradient Descent Parameter Learning of Bayesian Networks under Monotonicity Restrictions , Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), p. 153-164 , Eds: Kratochvíl Václav, Vejnarová Jiřina, Workshop on Uncertainty Processing (WUPES’18), (Třeboň, CZ, 20180606) [2018] Download
  4. Plajner Martin, Magauina A., Vomlel JiříQuestion Selection Methods for Adaptive Testing with Bayesian Networks , Proceedings of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, p. 164-175 , Eds: Novák V., Inuiguchi M., Štěpnička M., The 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, (Pardubice, CZ, 20170917) [2017] Download
  5. Plajner Martin, Vomlel JiříMonotonicity in Bayesian Networks for Computerized Adaptive Testing , Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2017, p. 125-134 , Eds: Antonucci A., Cholvy L., Papini O., ECSQARU: European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty, (Lugano, CH, 20170710) [2017] Download DOI: 10.1007/978-3-319-61581-3_12
  6. Plajner Martin, Vomlel JiříStudent Skill Models in Adaptive Testing , Proceedings of the Eighth International Conference on Probabilistic Graphical Models, p. 403-414 , Eds: Antonucci A., Corani G., Polpo de Campos C., International Conference on Probabilistic Graphical Models 2016 /8./, (Lugano, CH, 20160906) [2016] Download
  7. Plajner Martin, Vomlel JiříBayesian Network Models for Adaptive Testing , Proceedings of the Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015) co-located with the 31st Conference on Uncertainty in Artificial Intelligence (UAI 2015), p. 24-33 , Eds: Agosta J. M., Carvalho R. N., The Twelfth UAI Bayesian Modeling Applications Workshop (BMAW 2015), (Amsterdam, NL, 16.07.2015) [2016] Download