Matthias C. M. Troffaes

Orcid: 0000-0002-1294-600X

According to our database1, Matthias C. M. Troffaes authored at least 43 papers between 2003 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Regret-based budgeted decision rules under severe uncertainty.
Inf. Sci., 2024

2023
Data-driven Estimation of Under Frequency Load Shedding after Outages in Small Power Systems.
CoRR, 2023

A nonstandard approach to stochastic processes under probability bounding.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

A Robust Bayesian Approach for Causal Inference Problems.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

2022
Iterative importance sampling with Markov chain Monte Carlo sampling in robust Bayesian analysis.
Comput. Stat. Data Anal., 2022

Inclusion of Frequency Nadir constraint in the Unit Commitment Problem of Small Power Systems Using Machine Learning.
CoRR, 2022

Decision Making Under Severe Uncertainty on a Budget.
Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022

2021
Improving and benchmarking of algorithms for Γ-maximin, Γ-maximax and interval dominance.
Int. J. Approx. Reason., 2021

Improving Algorithms for Decision Making with the Hurwicz Criterion.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

2020
Binary Credal Classification Under Sparsity Constraints.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

2019
Improving and benchmarking of algorithms for decision making with lower previsions.
Int. J. Approx. Reason., 2019

Evaluating betting odds and free coupons using desirability.
Int. J. Approx. Reason., 2019

Two-State Imprecise Markov Chains for Statistical Modelling of Two-State Non-Markovian Processes.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

A Cantelli-Type Inequality for Constructing Non-Parametric P-Boxes Based on Exchangeability.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

2018
Imprecise Monte Carlo simulation and iterative importance sampling for the estimation of lower previsions.
Int. J. Approx. Reason., 2018

Improved linear programming methods for checking avoiding sure loss.
Int. J. Approx. Reason., 2018

2017
Imprecise Swing Weighting for Multi-Attribute Utility Elicitation Based on Partial Preferences.
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017

A Note on Imprecise Monte Carlo over Credal Sets via Importance Sampling.
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017

Efficient Algorithms for Checking Avoiding Sure Loss.
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017

Qualitative comparison of techniques for evaluating performance of short term power system reliability management.
Proceedings of the 2017 IEEE PES Innovative Smart Grid Technologies Conference Europe, 2017

2015
A geometric and game-theoretic study of the conjunction of possibility measures.
Inf. Sci., 2015

2014
A robust Bayesian approach to modeling epistemic uncertainty in common-cause failure models.
Reliab. Eng. Syst. Saf., 2014

A Note on Learning Dependence under Severe Uncertainty.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Multinomial Logistic Regression on Markov Chains for Crop Rotation Modelling.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

2013
On the connection between probability boxes and possibility measures.
Inf. Sci., 2013

2012
Robust detection of exotic infectious diseases in animal herds: A comparative study of three decision methodologies under severe uncertainty.
Int. J. Approx. Reason., 2012

Normal form backward induction for decision trees with coherent lower previsions.
Ann. Oper. Res., 2012

2011
Imprecise Probability.
Proceedings of the International Encyclopedia of Statistical Science, 2011

Probability boxes on totally preordered spaces for multivariate modelling.
Int. J. Approx. Reason., 2011

2010
Imprecise probability in statistical inference and decision making.
Int. J. Approx. Reason., 2010

Sequential Decision Processes under Act-State Independence with Arbitrary Choice Functions.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Methods, 2010

2009
Applying the imprecise Dirichlet model in cases with partial observations and dependencies in failure data.
Int. J. Approx. Reason., 2009

Finite approximations to coherent choice.
Int. J. Approx. Reason., 2009

2008
Generalised p-Boxes on Totally Ordered Spaces.
Proceedings of the Soft Methods for Handling Variability and Imprecision, 2008

An Efficient Normal Form Solution to Decision Trees with Lower Previsions.
Proceedings of the Soft Methods for Handling Variability and Imprecision, 2008

2007
Decision making under uncertainty using imprecise probabilities.
Int. J. Approx. Reason., 2007

2006
Generalizing the conjunction rule for aggregating conflicting expert opinions.
Int. J. Intell. Syst., 2006

Conditional Lower Previsions for Unbounded Random Quantities.
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006

2005
n-Monotone lower previsions.
J. Intell. Fuzzy Syst., 2005

Dynamic programming for deterministic discrete-time systems with uncertain gain.
Int. J. Approx. Reason., 2005

n-Monotone Lower Previsions and Lower Integrals.
Proceedings of the ISIPTA '05, 2005

2004
Coherent lower previsions in systems modelling: products and aggregation rules.
Reliab. Eng. Syst. Saf., 2004

2003
Dynamic Programming for Discrete-Time Systems with Uncertain Gain.
Proceedings of the ISIPTA '03, 2003


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