Publications - Martin Plajner
Journal articles (1)
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1. * Martin Plajner, Jiří Vomlel: Learning bipartite Bayesian networks under monotonicity restrictions. International Journal of General Systems 49:1 (2020), 88-111. Taylor & Francis. Download |
Conference papers (7)
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1. * Martin Plajner, Jiří Vomlel: Bayesian Networks for the Test Score Prediction: A Case Study on a Math Graduation Exam. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2021., 255-267. Springer, Cham 2021. Download |
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2. * Silvia Carpitella, J. Izquierdo, Martin Plajner, Jiří Vomlel: Integrating the human factor in FMECA-based risk evaluation through Bayesian networks. Modelling for Engineering & Human Behaviour 2020, 24-29. The Universitat Politècnica de València, Valencia 2020. Download |
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3. * Martin Plajner, Jiří Vomlel: Gradient Descent Parameter Learning of Bayesian Networks under Monotonicity Restrictions. Proceedings of the 11th Workshop on Uncertainty Processing (WUPES’18), 153-164. MatfyzPress, Publishing House of the Faculty of Mathematics and Physics Charles University, Praha 2018. Download |
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4. * Martin Plajner, Jiří Vomlel: Monotonicity in Bayesian Networks for Computerized Adaptive Testing. Symbolic and Quantitative Approaches to Reasoning with Uncertainty. ECSQARU 2017, 125-134. Springer, Cham 2017. Download |
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5. * Martin Plajner, A. Magauina, Jiří Vomlel: Question Selection Methods for Adaptive Testing with Bayesian Networks. Proceedings of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty, 164-175. University of Ostrava, Ostrava 2017. Download |
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6. * Martin Plajner, Jiří Vomlel: Bayesian 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), 24-33. Sun SITE Central Europe, Achen 2016. Download |
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7. * Martin Plajner, Jiří Vomlel: Student Skill Models in Adaptive Testing. Proceedings of the Eighth International Conference on Probabilistic Graphical Models, 403-414. Microtome Publishing, Brookline 2016. Download |