Ing. Martin Plajner, Ph.D.
postdoc
Department:
Department of Decision-Making Theory
Research interests:
Computerized Adaptive Testing, Bayesian Networks
Biography
Publication list
Education
- 2010 – 2013: Faculty of Nuclear Sciences and Physical Engineering Czech Technical University in Prague, Prague, Czech Republic Masters degree program in Software Engineering in Economics
- 2011 - 2012: Cork Institute of Technologyfjf, Cork, Ireland
- 2007 – 2010: Faculty of Nuclear Sciences and Physical Engineering Czech Technical University in Prague, Prague, Czech Republic - Bachelor degree program in Software Engineering in Economics
Work Experience:
- 2020 – present Logio, Prague, Czech Republic Head of the Research and Development Department
- 2015 – present Institute of Information Theory and Automation, Czech Academy of Sciences, Prague, Czech Republic
- 2017 – 2020 Logio, Prague, Czech Republic Consultant, Supply Chain Management, optimization problems
- 2017 Deloitte, Prague, Czech Republic Manager, Innovations & Startups project initiation
- 2011 CERN Summer Student in CERN, Geneve, Switzerland Half-time work on the LHCb Core Software Project
Books and chapters
- : Improved Industrial Risk Analysis via a Human Factor-Driven Bayesian Network Approach, Analytics Modeling in Reliability and Machine Learning and Its Applications, p. 1-349 Download Download DOI: 10.1007/978-3-031-72636-1_2 [2025]
Journal articles
- : FINDING AN OPTIMAL DISTRIBUTION STRATEGY PATH IN AN UNPREDICTABLE ENVIRONMENT, Ekonomski Vjesnik 37 1 (2024), p. 139-150 Download Download DOI: 10.51680/ev.37.1.10 [2024]
- : Learning bipartite Bayesian networks under monotonicity restrictions, International Journal of General Systems 49 1 (2020), p. 88-111 Download Download DOI: 10.1080/03081079.2019.1692004 [2020]
Other publications
- : 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., p. 255-267, Eds: Vejnarová Jiřina, Wilson Nic Download DOI: 10.1007/978-3-030-86772-0_19 [2021]
- : Integrating the human factor in FMECA-based risk evaluation through Bayesian networks, Modelling for Engineering & Human Behaviour 2020, p. 24-29 Download [2020]
- : Gradient 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 Download [2018]
- : Question 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. Download [2017]
- : Monotonicity 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. Download DOI: 10.1007/978-3-319-61581-3_12 [2017]
- : Student 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. Download [2016]
- : 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), p. 24-33, Eds: Agosta J. M., Carvalho R. N. Download [2016]
- : DISTRIBUTION STRATEGY PLANNING FOR LAST-MILE DELIVERY AMID POTENTIAL URBAN POLICY TRAFFIC CHANGES: A DECISION MAKING MODEL APPROACH, Proceedings CLC 2023 - Carpathian Logistics Congress, p. 7-12 Download DOI: 10.37904/clc.2023.4819 [2014]