Publications - Kamil Dedecius
Books and chapters (1)
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1. * Kamil Dedecius, P. M. Djurić: Bayesian approach to collaborative inference in networks of agents. Cooperative and graph signal processing, 131-145. Academic Press, London 2018. Download |
Journal articles (13)
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1. * R. Žemlička, Kamil Dedecius: Robust Online Modeling of Counts in Agent Networks. IEEE Transactions on Signal and Information Processing over Networks 9:1 (2023), 217-228. Download |
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2. * Kamil Dedecius, R. Žemlička: Sequential Poisson Regression in Diffusion Networks. IEEE Signal Processing Letters 27:1 (2020), 625-629. Institute of Electrical and Electronics Engineers. Download |
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3. * Kamil Dedecius, Ondřej Tichý: Collaborative sequential state estimation under unknown heterogeneous noise covariance matrices. IEEE Transactions on Signal Processing 68:10 (2020), 5365-5378. Download |
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4. * Kamil Dedecius: Marginalized approximate filtering of state-space models. International Journal of Adaptive Control and Signal Processing 32:1 (2018), 1-12. Wiley. Download |
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5. * Kamil Dedecius, P. M. Djurić: Sequential estimation and diffusion of information over networks: A Bayesian approach with exponential family of distributions. IEEE Transactions on Signal Processing 65:7 (2017), 1795-1809. Download |
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6. * Kamil Dedecius: Adaptive kernels in approximate filtering of state-space models. International Journal of Adaptive Control and Signal Processing 31:6 (2017), 938-952. Wiley. Download |
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7. * Kamil Dedecius, Vladimíra Sečkárová: Factorized Estimation of Partially Shared Parameters in Diffusion Networks. IEEE Transactions on Signal Processing 65:19 (2017), 5153-5163. Download |
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8. * Kamil Dedecius, Jan Reichl, P. M. Djurić: Sequential Estimation of Mixtures in Diffusion Networks. IEEE Signal Processing Letters 22:2 (2015), 197-201. Institute of Electrical and Electronics Engineers. Download |
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9. * Kamil Dedecius, Vladimíra Sečkárová: Centralized Bayesian reliability modelling with sensor networks. Mathematical and Computer Modelling of Dynamical Systems 19:5 (2013), 471-482. Download |
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10. * Kamil Dedecius, Vladimíra Sečkárová: Dynamic Diffusion Estimation in Exponential Family Models. IEEE Signal Processing Letters 20:11 (2013), 1114-1117. Institute of Electrical and Electronics Engineers. Download |
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11. * Kamil Dedecius, Radek Hofman: Autoregressive Model with Partial Forgetting within Rao-Blackwellized Particle Filter. Communications in Statistics - Simulation and Computation 41:5 (2012), 582-589. Taylor & Francis. Download |
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12. * Kamil Dedecius, Ivan Nagy, Miroslav Kárný: Parameter tracking with partial forgetting method. International Journal of Adaptive Control and Signal Processing 26:1 (2012), 1-12. Wiley. Download |
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13. * Kamil Dedecius, J. Kalová: Bayesian modeling and prediction of solar particles flux. Bezpečnost jaderné energie, 228-230. Státní úřad pro jadernou bezpečnost. Download |
Conference papers (27)
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1. * Jan Reichl, Kamil Dedecius: Likelihood tempering in dynamic model averaging. Bayesian Statistics in Action, 67-77. Springer International Publishing, Cham 2017. Download |
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2. * Kamil Dedecius, Vladimíra Sečkárová: Diffusion estimation of mixture models with local and global parameters. Proceedings of the 2016 IEEE Workshop on Statistical Signal Processing, 362-366. IEEE, Palma de Mallorca, Španělsko 2016. Download |
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3. * P. M. Djurić, Kamil Dedecius: Bayesian estimation of unknown parameters over networks. Proc. 2016 24th European Signal Processing Conference (EUSIPCO), 1508-1512. EUSIPCO, Budapest 2016. Download |
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4. * Kamil Dedecius, P. M. Djurić: Diffusion filtration with approximate Bayesian computation. Proceedings of 2015 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 3207-3211. IEEE Computer Society, Piscataway 2015. Download |
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5. * Kamil Dedecius, Jan Reichl: Distributed estimation of mixture models. Bayesian statistics from methods to models and applications, 27-36. Springer, Cham 2015. Download |
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6. * P. Ettler, Kamil Dedecius: Probabilistic condition monitoring counting with information uncertainty. Proceedings of 1st International Conference on Uncertainty Quantification in Computational Sciences and Engineering (UNCECOMP), 1-7. National Technical University of Athens, Athény 2015. Download |
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7. * Kamil Dedecius: Adaptive approximate filtering of state-space models. Proceedings of 23rd European Signal Processing Conference, 2236-2240. EURASIP, Nice 2015. Download |
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8. * P. Ettler, Kamil Dedecius, Lenka Pavelková, D. Juričič, P. Boškoski, I. Steiner: From building blocks to the embedded condition monitoring system. Proceedings of the 2nd IFAC Conference on Embedded Systems, Computer Intelligence and Telematics, CESCIT 2015, 135-140. IFAC, Maribor 2015. Download |
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9. * Kamil Dedecius, Vladimíra Sečkárová: Distributed Modelling of Big Dynamic Data with Generalized Linear Models. Proceedings of the 17th International Conference on Information Fusion (Fusion 2014). International Society of Information Fusion, Salamanca, Španělsko 2014. Download |
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10. * P. Ettler, Kamil Dedecius: Quantification of Information Uncertainty for the Purpose of Condition Monitoring. Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO), 127-132. Institute for Systems and Technologies of Information, Control and Communication (INSTICC), Lisabon, Portugalsko 2014. Download |
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11. * P. Ettler, Kamil Dedecius: Probabilistic reasoning in service of condition monitoring. Proceedings of the 11th International Conference on Condition Monitoring and Machinery Failure Prevention Technologies CM2014/MFPT2014. The British Institute of Non-Destructive Testing, Manchester 2014. Download |
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12. * Kamil Dedecius, P. Ettler: Hierarchical Modelling of Industrial System Reliability with Probabilistic Logic. Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO), 133-139. Institute for Systems and Technologies of Information, Control and Communication (INSTICC), Lisabon, Portugalsko 2014. Download |
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13. * Kamil Dedecius: Diffusion Estimation Of State-Space Models: Bayesian Formulation. Proceedings of the 24th IEEE International Workshop on Machine Learning for Signal Processing (MLSP2014). IEEE, Reims 2014. Download |
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14. * Kamil Dedecius: Collaborative Kalman Filtration: Bayesian Perspective. Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics (ICINCO), 468-474. Institute for Systems and Technologies of Information, Control and Communication (INSTICC), Lisabon, Portugalsko 2014. Download |
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15. * Kamil Dedecius, P. Ettler: Overview of Bounded Support Distributions and Methods for Bayesian Treatment of Industrial Data. Proceedings of the 10th international conference on informatics in control, automation and robotics (ICINCO 2013), 380-387. INSTICC – Institute for Systems and Technologies of Information, Control and Communication, Portugalsko 2013. Download |
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16. * Ladislav Jirsa, Lenka Pavelková, Kamil Dedecius: Preliminaries of probabilistic hierarchical fault detection. Preprints of the 3rd International Workshop on Scalable Decision Making held in conjunction with ECML/PKDD 2013. Institute of Information Theory and Automation, Prague 2013. Download |
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17. * P. Ettler, I. Puchr, Kamil Dedecius: Bayesian model mixing for cold rolling mills: Test results. Proceedings of the 2013 International Conference on Process Control, 359-364. Slovak University of Technology, Slovensko 2013. Download |
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18. * Kamil Dedecius, P. Ettler: Adaptive continuous hierarchical model-based decision making. Proceedings of the 8th International Conference on Informatics in Control, Automation and Robotics, 284-289. SciTePress – Science and Technology Publications, Portugalsko 2011. Download |
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19. * Kamil Dedecius, Ivan Nagy, Radek Hofman: Modelling of Traffic Flow with Bayesian Autoregressive Model with Variable Partial Forgetting. CTU Workshop 2011, 1-11. ČVUT v Praze, Praha 2011. Download |
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20. * P. Ettler, Kamil Dedecius, D. Juričič, A. Preglej: Advanced Soft Sensor Technology to be Used for Cold Rolling Mills. Proceedings of the 16th IEEE International Conference on Emerging Technologies and Factory Automation, 1-4. IEEE, Toulouse 2011. Download |
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21. * Kamil Dedecius, Vladimíra Sečkárová: Towards Distributed Bayesian Estimation A Short Note on Selected Aspects. The 2nd International Workshop od Decision Making with Multiple Imperfect Decision Makers. Held in Conjunction with the 25th Annual Conference on Neural Information Processing Systems (NIPS 2011), 67-72. Institute of Information Theory and Automation, Prague 2011. Download |
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22. * Kamil Dedecius, Ladislav Jirsa, Miroslav Pištěk: Bayesian averaging of regressive models. Proceedings of the 11th International PhD Workshop on Systems and Control, 1-6. Faculty of Information Technology, University of Pannonia, Veszprém, Maďarsko 2010. Download |
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23. * Kamil Dedecius, Ivan Nagy, Radek Hofman: Modelling of Traffic Intensities. 18th Annual Conference Proceedings, Technical Computing Bratislava, 1-9. RT Systems s.r.o, Bratislava 2010. Download |
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24. * Kamil Dedecius, Ivan Nagy, Miroslav Kárný, Lenka Pavelková: Parameter Estimation With Partial Forgetting Method. Proceedings of the 15th IFAC Symposium on Identification and System Parameter Estimation - SYSID 2009, 534-539. IFAC, Saint-Malo 2009. Download |
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25. * Kamil Dedecius, J. Kalová: Bayesian modeling and prediction of solar particles flux. XXXI. Dny radiační ochrany - sborník abstraktů, 77-77. FJFI ČVUT v Praze, Praha 2009. Download |
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26. * Kamil Dedecius: A Brief Comparison of Selected Forgetting Methods. Proceedings of the 10th International PhD Workshop on Systems and Control, 1-6. ÚTIA, AV ČR, Praha 2009. Download |
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27. * Kamil Dedecius: Partial Forgetting in Autoregression Models. Proceedings of the 9th International PhD Workshop on Systems and Control, Young Generation Viewpoint, 1-6. Jozef Stefan Institute, Izola 2008. Download |
Other publications (18)
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1. * T. Vlk, Kamil Dedecius: Diffusion Kalman filtering under unknown process and measurement noise covariance matrices. Research Report 2395. ÚTIA AV ČR, v. v. i.,, Praha 2022. Download |
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2. * R. Žemlička, Kamil Dedecius: Distributed Sequential Zero-Inflated Poisson Regression. Research Report 2393. ÚTIA AV ČR, v. v. i.,, Praha 2021. Download |
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3. * Jan Reichl, Kamil Dedecius: Diffusion MCMC for Mixture Estimation. Research Report 2354. , Praha 2016. Download |
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4. * Kamil Dedecius: Information fusion with functional Bregman divergence. Research Report 2345. ÚTIA AV ČR, Praha 2015. Download |
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5. * Kamil Dedecius: Centralized Estimation of Adhesion Loss in Wheel-Rail System Using Variational Bayes and Variational Message Passing. Research Report 2329. ÚTIA AV ČR, v.v.i, Praha 2013. Download |
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6. * Miroslav Kárný, Kamil Dedecius: Approximate Bayesian Recursive Estimation: On Approximation Errors. Research Report 2317. ÚTIA AV ČR, Praha 2012. Download |
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8. * Vladimíra Sečkárová, Kamil Dedecius: Dynamic Bayesian estimation in diffusion networks. Robust 2012, sborník abstraktů, 25-25. MFF UK, Praha 2012. Download |
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9. * Kamil Dedecius: Notes on projection based modelling of beta-distributed weights of a two-component mixture. Research Report 2297. ÚTIA AV ČR, v.v.i, Praha 2011. Download |
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10. * Kamil Dedecius, Vladimíra Sečkárová: Decentralized Distributed Bayesian Estimation. Abstracts of Contributions to 7th International Workshop on Data - Algorithms - Decision Making, 16-16. ÚTIA AVČR, v.v.i, Praha 2011. Download |
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11. * Kamil Dedecius, Ladislav Jirsa: Impact of forgetting on models of rolling mills. Research Report 2283. ÚTIA AV ČR, Praha 2010. Download |
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12. * Kamil Dedecius, Ladislav Jirsa: Bayesian Soft Sensing in Cold Sheet Rolling. Abstracts of Contributions to 6th International Workshop on Data-Algorthms-Decision Making, 45-45. ÚTIA AV ČR, v.v.i, Praha 2010. Download |
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13. * Kamil Dedecius: Implementation of partial forgetting in Mixtools. Research report 2284. ÚTIA, Praha 2010. Download |
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14. * Radek Hofman, Kamil Dedecius: A Hybrid Filtering Methodology for Nonlinear Estimation. Abstracts of Contributions to 6th International Workshop on Data-Algorthms-Decision Making, 46-46. ÚTIA AV ČR, v.v.i, Praha 2010. Download |
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16. * Kamil Dedecius, Ivan Nagy, Miroslav Kárný, Lenka Pavelková: Partial Forgetting. A new method for tracking time-variant parameters. Research Report 2249. UTIA AV ČR, Praha 2009. Download |
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17. * Kamil Dedecius: Partial Forgetting in Autoregression Models. Book of Abstracts of the 9h International PhD Workshop on Systems and Control: A Young Generation Viewpoint, 46-46. 1. Gašperin, Matej, 2. Jožef Stefan Institute, Ljubljana 2008. Download |
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18. * Ivan Nagy, Lenka Pavelková, K. Dedecius: Partial forgetting in estimation of regression models. Research Report 2200. ÚTIA AV ČR, Praha 2007. Download |