Articles with public access mandates - Gert de CoomanLearn more
Not available anywhere: 3
Lower previsions
E Miranda, G Cooman
Introduction to Imprecise Probabilities, 28-55, 2014
Mandates: Research Foundation (Flanders)
Structural judgements
E Miranda, G De Cooman
Introduction to imprecise probabilities, 56-78, 2014
Mandates: Research Foundation (Flanders)
The F. Riesz representation theorem and finite additivity
G de Cooman, E Miranda
Soft Methods for Handling Variability and Imprecision, 243-252, 2008
Mandates: Research Foundation (Flanders)
Available somewhere: 67
Independent natural extension
G De Cooman, E Miranda, M Zaffalon
Artificial Intelligence 175 (12-13), 1911-1950, 2011
Mandates: Swiss National Science Foundation, Research Foundation (Flanders)
Epistemic irrelevance in credal nets: the case of imprecise Markov trees
G De Cooman, F Hermans, A Antonucci, M Zaffalon
International Journal of Approximate Reasoning 51 (9), 1029-1052, 2010
Mandates: Swiss National Science Foundation, Research Foundation (Flanders)
Weak and strong laws of large numbers for coherent lower previsions
G De Cooman, E Miranda
Journal of Statistical Planning and Inference 138 (8), 2409-2432, 2008
Mandates: Research Foundation (Flanders)
Marginal extension in the theory of coherent lower previsions
E Miranda, G De Cooman
International Journal of Approximate Reasoning 46 (1), 188-225, 2007
Mandates: Research Foundation (Flanders)
Imprecise stochastic processes in discrete time: global models, imprecise Markov chains, and ergodic theorems
G De Cooman, J De Bock, S Lopatatzidis
International Journal of Approximate Reasoning 76, 18-46, 2016
Mandates: Research Foundation (Flanders)
n-Monotone exact functionals
G De Cooman, MCM Troffaes, E Miranda
Journal of Mathematical Analysis and Applications 347 (1), 143-156, 2008
Mandates: Research Foundation (Flanders)
Irrelevant and independent natural extension for sets of desirable gambles
G De Cooman, E Miranda
Journal of Artificial Intelligence Research 45, 601-640, 2012
Mandates: Research Foundation (Flanders)
Forward irrelevance
G De Cooman, E Miranda
Journal of Statistical Planning and Inference 139 (2), 256-276, 2009
Mandates: Research Foundation (Flanders)
Credal networks under epistemic irrelevance: the sets of desirable gambles approach
J De Bock, G De Cooman
International Journal of Approximate Reasoning 56, 178-207, 2015
Mandates: Research Foundation (Flanders)
Exchangeable lower previsions
G De Cooman, E Quaeghebeur, E Miranda
Mandates: Research Foundation (Flanders)
An efficient algorithm for estimating state sequences in imprecise hidden Markov models
J De Bock, G De Cooman
Journal of Artificial Intelligence Research 50, 189-233, 2014
Mandates: Research Foundation (Flanders)
A robust dynamic classifier selection approach for hyperspectral images with imprecise label information
M Li, S Huang, J De Bock, G De Cooman, A Pižurica
Sensors 20 (18), 5262, 2020
Mandates: Research Foundation (Flanders)
Robust queueing theory: an initial study using imprecise probabilities
S Lopatatzidis, J De Bock, G De Cooman, S De Vuyst, J Walraevens
Queueing Systems 82, 75-101, 2016
Mandates: Research Foundation (Flanders)
Randomness is inherently imprecise
G De Cooman, J De Bock
International Journal of Approximate Reasoning 141, 28-68, 2022
Mandates: Research Foundation (Flanders), European Commission
A recursive algorithm for computing inferences in imprecise Markov chains
N T’Joens, T Krak, JD Bock, G Cooman
Symbolic and Quantitative Approaches to Reasoning with Uncertainty: 15th …, 2019
Mandates: European Commission
Coherent predictive inference under exchangeability with imprecise probabilities
G De Cooman, J De Bock, MA Diniz
Journal of Artificial Intelligence Research 52, 1-95, 2015
Mandates: Research Foundation (Flanders)
Constrained optimization problems under uncertainty with coherent lower previsions
E Quaeghebeur, K Shariatmadar, G De Cooman
Fuzzy Sets and Systems 206, 74-88, 2012
Mandates: Research Foundation (Flanders)
Publication and funding information is determined automatically by a computer program