Recent advances in imprecise-probabilistic graphical models. - Gert de Cooman; Jasper De Bock; Arthur Van Camp (ECAI, 2012)

Imprecise Bernoulli Processes. - Jasper De Bock; Gert de Cooman (IPMU (3), 2012)

Credal nets under epistemic irrelevance - Jasper De Bock; Gert de Cooman (CoRR, 2012)

Extreme Lower Previsions and Minkowski Indecomposability. - Jasper De Bock; Gert de Cooman (ECSQARU, 2013)

Global Sensitivity Analysis for MAP Inference in Graphical Models. - Jasper De Bock; Cassio P. de Campos; Alessandro Antonucci 001 (NIPS, 2014)

Robustifying the Viterbi Algorithm. - Cedric De Boom; Jasper De Bock; Arthur Van Camp; Gert de Cooman (Probabilistic Graphical Models, 2014)

An Efficient Algorithm for Estimating State Sequences in Imprecise Hidden Markov Models. - Jasper De Bock; Gert de Cooman (J. Artif. Intell. Res., 2014)

Credal networks under epistemic irrelevance: The sets of desirable gambles approach. - Jasper De Bock; Gert de Cooman (Int. J. Approx. Reason., 2015)

Conditioning, updating and lower probability zero. - Jasper De Bock; Gert de Cooman (Int. J. Approx. Reason., 2015)

Coherent Predictive Inference under Exchangeability with Imprecise Probabilities. - Gert De Cooman; Jasper De Bock; Márcio Alves Diniz (J. Artif. Intell. Res., 2015)

Exploiting Bayesian Network Sensitivity Functions for Inference in Credal Networks. - Janneke H. Bolt; Jasper De Bock; Silja Renooij (ECAI, 2016)

Reintroducing Credal Networks under Epistemic Irrelevance. - Jasper De Bock (Probabilistic Graphical Models, 2016)

Representation theorems for partially exchangeable random variables. - Jasper De Bock; Arthur Van Camp; Márcio Alves Diniz; Gert de Cooman (Fuzzy Sets Syst., 2016)

Imprecise stochastic processes in discrete time: global models, imprecise Markov chains, and ergodic theorems. - Gert de Cooman; Jasper De Bock; Stavros Lopatatzidis (Int. J. Approx. Reason., 2016)

Robust queueing theory: an initial study using imprecise probabilities. - Stavros Lopatatzidis; Jasper De Bock; Gert de Cooman; Stijn De Vuyst; Joris Walraevens (Queueing Syst. Theory Appl., 2016)

Coherent Predictive Inference under Exchangeability with Imprecise Probabilities (Extended Abstract). - Gert de Cooman; Jasper De Bock; Márcio Alves Diniz (IJCAI, 2017)

Independent Natural Extension for Infinite Spaces: Williams-Coherence to the Rescue. - Jasper De Bock (ISIPTA, 2017)

Computable Randomness is Inherently Imprecise. - Gert de Cooman; Jasper De Bock (ISIPTA, 2017)

Imprecise Continuous-Time Markov Chains: Efficient Computational Methods with Guaranteed Error Bounds. - Alexander Erreygers; Jasper De Bock (ISIPTA, 2017)

Efficient Computation of Updated Lower Expectations for Imprecise Continuous-Time Hidden Markov Chains. - Thomas E. Krak; Jasper De Bock; Arno Siebes (ISIPTA, 2017)

Credal networks under epistemic irrelevance. - Jasper De Bock (Int. J. Approx. Reason., 2017)

Imprecise continuous-time Markov chains. - Thomas E. Krak; Jasper De Bock; Arno Siebes (Int. J. Approx. Reason., 2017)

Computing lower and upper expected first-passage and return times in imprecise birth-death chains. - Stavros Lopatatzidis; Jasper De Bock; Gert de Cooman (Int. J. Approx. Reason., 2017)

The Limit Behaviour of Imprecise Continuous-Time Markov Chains. - Jasper De Bock (J. Nonlinear Sci., 2017)

A Desirability-Based Axiomatisation for Coherent Choice Functions. - Jasper De Bock; Gert de Cooman (SMPS, 2018)

Computing Inferences for Large-Scale Continuous-Time Markov Chains by Combining Lumping with Imprecision. - Alexander Erreygers; Jasper De Bock (SMPS, 2018)

An Imprecise Probabilistic Estimator for the Transition Rate Matrix of a Continuous-Time Markov Chain. - Thomas E. Krak; Alexander Erreygers; Jasper De Bock (SMPS, 2018)

Dynamic Classifier Selection Based on Imprecise Probabilities: A Case Study for the Naive Bayes Classifier. - Meizhu Li; Jasper De Bock; Gert de Cooman (SMPS, 2018)

Continuity of the Shafer-Vovk-Ville Operator. - Natan T'Joens; Gert de Cooman; Jasper De Bock (SMPS, 2018)

Imprecise Markov Models for Scalable and Robust Performance Evaluation of Flexi-Grid Spectrum Allocation Policies. - Alexander Erreygers; Cristina Rottondi; Giacomo Verticale; Jasper De Bock (IEEE Trans. Commun., 2018)

A Recursive Algorithm for Computing Inferences in Imprecise Markov Chains. - Natan T'Joens; Thomas E. Krak; Jasper De Bock; Gert de Cooman (ECSQARU, 2019)

Interpreting, Axiomatising and Representing Coherent Choice Functions in Terms of Desirability. - Jasper De Bock; Gert de Cooman (ISIPTA, 2019)

Monte Carlo Estimation for Imprecise Probabilities: Basic Properties. - Arne Decadt; Gert de Cooman; Jasper De Bock (ISIPTA, 2019)

First Steps Towards an Imprecise Poisson Process. - Alexander Erreygers; Jasper De Bock (ISIPTA, 2019)

Hitting Times and Probabilities for Imprecise Markov Chains. - Thomas E. Krak; Natan T'Joens; Jasper De Bock (ISIPTA, 2019)

In Search of a Global Belief Model for Discrete-Time Uncertain Processes. - Natan T'Joens; Jasper De Bock; Gert de Cooman (ISIPTA, 2019)

An alternative approach to coherent choice functions. - Jasper De Bock; Gert de Cooman (CoRR, 2019)

Independent natural extension for infinite spaces. - Jasper De Bock (Int. J. Approx. Reason., 2019)

Bounding inferences for large-scale continuous-time Markov chains: A new approach based on lumping and imprecise Markov chains. - Alexander Erreygers; Jasper De Bock (Int. J. Approx. Reason., 2019)

Archimedean Choice Functions - An Axiomatic Foundation for Imprecise Decision Making. - Jasper De Bock (IPMU (2), 2020)

Limit Behaviour of Upper and Lower Expected Time Averages in Discrete-Time Imprecise Markov Chains. - Natan T'Joens; Jasper De Bock (IPMU (2), 2020)

Inference with Choice Functions Made Practical. - Arne Decadt; Jasper De Bock; Gert de Cooman (SUM, 2020)

Computable Randomness Is About More Than Probabilities. - Floris Persiau; Jasper De Bock; Gert de Cooman (SUM, 2020)

Choice functions based on sets of strict partial orders: an axiomatic characterisation. - Jasper De Bock (CoRR, 2020)

A Robust Dynamic Classifier Selection Approach for Hyperspectral Images with Imprecise Label Information. - Meizhu Li; Shaoguang Huang; Jasper De Bock; Gert de Cooman; Aleksandra Pizurica (Sensors, 2020)

The Smallest Probability Interval a Sequence Is Random for: A Study for Six Types of Randomness. - Floris Persiau; Jasper De Bock; Gert de Cooman (ECSQARU, 2021)

Average Behaviour of Imprecise Markov Chains: A Single Pointwise Ergodic Theorem for Six Different Models. - Jasper De Bock; Natan T'Joens (ISIPTA, 2021)

Randomness and Imprecision: A Discussion of Recent Results. - Gert de Cooman; Jasper De Bock (ISIPTA, 2021)

Extending the Domain of Imprecise Jump Processes from Simple Variables to Measurable Ones. - Alexander Erreygers; Jasper De Bock (ISIPTA, 2021)

A Remarkable Equivalence between Non-Stationary Precise and Stationary Imprecise Uncertainty Models in Computable Randomness. - Floris Persiau; Jasper De Bock; Gert de Cooman (ISIPTA, 2021)

Global Upper Expectations for Discrete-Time Stochastic Processes: In Practice, They Are All The Same! - Natan T'Joens; Jasper De Bock (ISIPTA, 2021)

Sum-product laws and efficient algorithms for imprecise Markov chains. - Jasper De Bock; Alexander Erreygers; Thomas Krak (UAI, 2021)

On a notion of independence proposed by Teddy Seidenfeld. - Jasper De Bock; Gert de Cooman (CoRR, 2021)

Average behaviour in discrete-time imprecise Markov chains: A study of weak ergodicity. - Natan T'Joens; Jasper De Bock (Int. J. Approx. Reason., 2021)

A particular upper expectation as global belief model for discrete-time finite-state uncertain processes. - Natan T'Joens; Jasper De Bock; Gert de Cooman (Int. J. Approx. Reason., 2021)

Decision-making with E-admissibility given a finite assessment of choices. - Arne Decadt; Alexander Erreygers; Jasper De Bock; Gert de Cooman (CoRR, 2022)

Randomness is inherently imprecise. - Gert de Cooman; Jasper De Bock (Int. J. Approx. Reason., 2022)

Markovian imprecise jump processes: Extension to measurable variables, convergence theorems and algorithms. - Alexander Erreygers; Jasper De Bock (Int. J. Approx. Reason., 2022)

On the (dis)similarities between stationary imprecise and non-stationary precise uncertainty models in algorithmic randomness. - Floris Persiau; Jasper De Bock; Gert de Cooman (Int. J. Approx. Reason., 2022)

A theory of desirable things. - Jasper De Bock (ISIPTA, 2023)

Desirable sets of things and their logic. - Gert de Cooman; Arthur Van Camp; Jasper De Bock (ISIPTA, 2023)

Expected time averages in Markovian imprecise jump processes: a graph-theoretic characterisation of weak ergodicity. - Yema Paul; Alexander Erreygers; Jasper De Bock (ISIPTA, 2023)

Indistinguishability through exchangeability in quantum mechanics? - Keano De Vos; Gert de Cooman; Jasper De Bock (ISIPTA, 2023)

The Twelfth International Symposium on Imprecise Probabilities: Theories and Applications (ISIPTA-21). - Andrés Cano; Jasper De Bock; Enrique Miranda 001 (Int. J. Approx. Reason., 2023)

Extended papers from the 11th International Symposium on Imprecise Probabilities: Theories and Applications. - Jasper De Bock; Gert De Cooman; Cassio P. de Campos (Int. J. Approx. Reason., 2024)

The logic behind desirable sets of things, and its filter representation. - Gert de Cooman; Arthur Van Camp; Jasper De Bock (Int. J. Approx. Reason., 2024)

A convenient characterisation of convergent upper transition operators. - Jasper De Bock; Alexander Erreygers; Floris Persiau (ISIPTA, 2025)

Robustness quantification: a new method for assessing the reliability of the predictions of a classifier. - Adrián Detavernier; Jasper De Bock (ISIPTA, 2025)

Randomness and imprecision: From supermartingales to randomness tests. - Gert de Cooman; Floris Persiau; Jasper De Bock (Inf. Comput., 2025)

Extending choice assessments to choice functions: An algorithm for computing the natural extension. - Arne Decadt; Alexander Erreygers; Jasper De Bock (Int. J. Approx. Reason., 2025)

A decision-theoretic approach to dealing with uncertainty in quantum mechanics. - Keano De Vos; Gert de Cooman; Alexander Erreygers; Jasper De Bock (CoRR, 2025)

Robustness quantification and how it allows for reliable classification, even in the presence of distribution shift and for small training sets. - Adrián Detavernier; Jasper De Bock (CoRR, 2025)