Academic Bibliography

Search 200 years of publications by Ghent University researchers.

Thomas Krak

ORCID iD: 0000-0002-6182-7285

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- PhD Thesis
Continuous-time imprecise-Markov chains : theory and algorithms

Thomas Krak

(2021)
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- Book Chapter
An Introduction to Imprecise Markov Chains

Thomas Krak

(2020) Optimization Under Uncertainty with Applications to Aerospace Engineering. p.141-179
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A recursive algorithm for computing inferences in imprecise Markov chains

Natan T'Joens (UGent) , Thomas Krak, Jasper De Bock (UGent) and Gert De Cooman (UGent)

(2019) Symbolic and quantitative approaches to reasoning with uncertainty, 15th European Conference, ECSQARU 2019, Belgrade, Serbia, September 18-20, 2019, Proceedings. In Lecture Notes in Computer Science 11726. p.455-465
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- Conference Paper
- C1
- open access
Two-state imprecise Markov chains for statistical modelling of two-state non-Markovian processes

Matthias Troffaes, Thomas Krak and Henna Bains

(2019) Proceedings of the Eleventh International Symposium on Imprecise Probabilities : Theories and Applications. In Proceedings of Machine Learning Research 103. p.394-403
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- Conference Paper
- C1
- open access
Hitting times and probabilities for imprecise Markov chains

Thomas Krak, Natan T'Joens and Jasper De Bock (UGent)

(2019) International Symposium on Imprecise Probabilities : Theories and Applications, ISIPTA 2019, Proceedings. In Proceedings of Machine Learning Research 103. p.265-275
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- Conference Paper
- P1
- open access
An imprecise probabilistic estimator for the transition rate matrix of a continuous-time Markov Chain

Thomas Krak, Alexander Erreygers (UGent) and Jasper De Bock (UGent)

(2019) UNCERTAINTY MODELLING IN DATA SCIENCE. In Advances in Intelligent Systems and Computing p.124-132
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- Journal Article
- A1
- open access
Imprecise continuous-time Markov chains

Thomas Krak, Jasper De Bock (UGent) and Arno Siebes

(2017) INTERNATIONAL JOURNAL OF APPROXIMATE REASONING. 88. p.452-528
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- Conference Paper
- C1
- open access
Efficient computation of updated lower expectations for imprecise continuous-time hidden Markov chains

Thomas Krak, Jasper De Bock (UGent) and A Siebes

(2017) PMLR : Proceedings of Machine Learning Research. 62. p.193-204
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Exceptional model mining with tree-constrained gradient ascent

Thomas Krak and Ad Feelders

(2015) Proceedings of the 2015 SIAM International Conference on Data Mining. p.487-495
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- Conference Paper
- P1
- open access
Knowledge-based bias correction : a case study in veterinary decision support

Thomas Krak and Linda C. van der Gaag

(2014) 21ST EUROPEAN CONFERENCE ON ARTIFICIAL INTELLIGENCE (ECAI 2014). In Frontiers in Artificial Intelligence and Applications 263. p.489-494