Sébastien Destercke

Orcid: 0000-0003-2026-468X

Affiliations:
  • Université de Technologie de Compiègne, France


According to our database1, Sébastien Destercke authored at least 169 papers between 2006 and 2024.

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

Timeline

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Bibliography

2024
Handling inconsistency in (numerical) preferences using possibility theory.
Inf. Fusion, March, 2024

Softmin discrete minimax classifier for imbalanced classes and prior probability shifts.
Mach. Learn., February, 2024

2023
On Computing Evidential Centroid Through Conjunctive Combination: An Impossibility Theorem.
IEEE Trans. Artif. Intell., June, 2023

Integrating collective know-how for multicriteria decision support in agrifood chains - application to cheesemaking.
Frontiers Artif. Intell., February, 2023

Les implicants premiers, un outil polyvalent pour l'explication de classification robuste.
Proceedings of the 17èmes Journées d'Intelligence Artificielle Fondamentale, 2023

Prime implicants as a versatile tool to explain robust classification.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

Uncertainty propagation using copulas in a 3D stereo matching pipeline.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

Learning calibrated belief functions from conformal predictions.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2023

Learning Sets of Probabilities Through Ensemble Methods.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

On the Enumeration of Non-dominated Spanning Trees with Imprecise Weights.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2023

Self Learning using Venn-Abers predictors.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2023

2022
Processing distortion models: A comparative study.
Int. J. Approx. Reason., 2022

Skeptical binary inferences in multi-label problems with sets of probabilities.
CoRR, 2022

Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Explaining Robust Classification Through Prime Implicants.
Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022

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

Using Atomic Bounds to Get Sub-modular Approximations.
Proceedings of the Scalable Uncertainty Management - 15th International Conference, 2022

Explications de classifications robustes à l'aide d'implicants premiers.
Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

Copules, probabilités inférieures et ensembles aléatoires : comment et quand les appliquer?
Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

Sous-ensembles maximaux cohérents multidimensionnels rendus faciles : illustration sur un problème d'estimation.
Proceedings of the Rencontres francophones sur la Logique Floue et ses Applications, 2022

Explications de recommandations fondées sur des principes d'équité à l'aide de transferts.
Proceedings of the 16èmes Journées d'Intelligence Artificielle Fondamentale, 2022

Necessary and Possibly Optimal Items in Selecting Problems.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

A Robust Bayesian Estimation Approach for the Imprecise Plackett-Luce Model.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2022

Prédiction conformelle basée sur les copules pour la régression multi-cibles.
Proceedings of the Extraction et Gestion des Connaissances, 2022

Ellipsoidal conformal inference for Multi-Target Regression.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

Uncertain data in learning: challenges and opportunities.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2022

2021
Racing trees to query partial data.
Soft Comput., 2021

Copula-based conformal prediction for multi-target regression.
Pattern Recognit., 2021

Imprecise Gaussian discriminant classification.
Pattern Recognit., 2021

Inference and Decision in Credal Occupancy Grids: Use Case on Trajectory Planning.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021

Possibilistic preference elicitation by minimax regret.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

Processing Multiple Distortion Models: a Comparative Study.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

Distributionally Robust, Skeptical Binary Inferences in Multi-label Problems.
Proceedings of the International Symposium on Imprecise Probability: Theories and Applications, 2021

Multi-label Chaining with Imprecise Probabilities.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2021

Class-wise confidence for debt prediction in real estate management: discussion and lessons learned from an application.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2021

A Note About Entropy and Inconsistency in Evidence Theory.
Proceedings of the Belief Functions: Theory and Applications, 2021

Logical and Evidential Inconsistencies Meet: First Steps.
Proceedings of the Belief Functions: Theory and Applications, 2021

Incremental Elicitation of Preferences: Optimist or Pessimist?
Proceedings of the Algorithmic Decision Theory - 7th International Conference, 2021

2020
Unifying neighbourhood and distortion models: part II - new models and synthesis.
Int. J. Gen. Syst., 2020

Unifying neighbourhood and distortion models: part I - new results on old models.
Int. J. Gen. Syst., 2020

Special issue from the 5th International Conference on Belief Functions (BELIEF 2018).
Int. J. Approx. Reason., 2020

Special issue on 9th International Conference on Soft Methods in Probability and Statistics (SMPS).
Int. J. Approx. Reason., 2020

Cautious relational clustering: A thresholding approach.
Expert Syst. Appl., 2020

Dealing with Atypical Instances in Evidential Decision-Making.
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

Equity in Learning Problems: An OWA Approach.
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

Inferring from an Imprecise Plackett-Luce Model: Application to Label Ranking.
Proceedings of the Scalable Uncertainty Management - 14th International Conference, 2020

Dealing with Inconsistent Measurements in Inverse Problems: An Approach Based on Sets and Intervals.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Deep Conformal Prediction for Robust Models.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Handling Mixture Optimisation Problem Using Cautious Predictions and Belief Functions.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Approximating General Kernels by Extended Fuzzy Measures: Application to Filtering.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Cautious Label-Wise Ranking with Constraint Satisfaction.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2020

Manipulating Focal Sets on the Unit Simplex: Application to Plastic Sorting.
Proceedings of the 29th IEEE International Conference on Fuzzy Systems, 2020

Prédiction conformelle profonde pour des modèles robustes.
Proceedings of the Extraction et Gestion des Connaissances, 2020

Conformal multi-target regression using neural networks.
Proceedings of the Conformal and Probabilistic Prediction and Applications, 2020

2019
Pari-mutuel probabilities as an uncertainty model.
Inf. Sci., 2019

From set relations to belief function relations.
Int. J. Approx. Reason., 2019

Special issue on the tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '17).
Int. J. Approx. Reason., 2019

From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group).
CoRR, 2019

Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants.
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

Preference Elicitation with Uncertainty: Extending Regret Based Methods with Belief Functions.
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

On Cautiousness and Expressiveness in Interval-Valued Logic.
Proceedings of the Scalable Uncertainty Management - 13th International Conference, 2019

A Unifying Frame for Neighbourhood and Distortion Models.
Proceedings of the International Symposium on Imprecise Probabilities: Theories and Applications, 2019

How to Handle Missing Values in Multi-Criteria Decision Aiding?.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Epistemic Uncertainty Sampling.
Proceedings of the Discovery Science - 22nd International Conference, 2019

2018
Classification by pairwise coupling of imprecise probabilities.
Pattern Recognit., 2018

Partial data querying through racing algorithms.
Int. J. Approx. Reason., 2018

Idempotent conjunctive and disjunctive combination of belief functions by distance minimization.
Int. J. Approx. Reason., 2018

A generic framework to include belief functions in preference handling and multi-criteria decision.
Int. J. Approx. Reason., 2018

Density Estimation with Imprecise Kernels: Application to Classification.
Proceedings of the Uncertainty Modelling in Data Science, 2018

Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

From Relations Between Sets to Relations Between Belief Functions.
Proceedings of the Belief Functions: Theory and Applications, 2018

2017
The Costs of Indeterminacy: How to Determine Them?
IEEE Trans. Cybern., 2017

Cautious classification with nested dichotomies and imprecise probabilities.
Soft Comput., 2017

ECSQARU 2015 special issue.
Int. J. Approx. Reason., 2017

Comonotonicity for sets of probabilities.
Fuzzy Sets Syst., 2017

Easy and optimal queries to reduce set uncertainty.
Eur. J. Oper. Res., 2017

On the median in imprecise ordinal problems.
Ann. Oper. Res., 2017

On extreme points of p-boxes and belief functions.
Ann. Math. Artif. Intell., 2017

K-Nearest Neighbour Classification for Interval-Valued Data.
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

Reasons and Means to Model Preferences as Incomplete.
Proceedings of the Scalable Uncertainty Management - 11th International Conference, 2017

A Study of the Pari-Mutuel Model from the Point of View of Imprecise Probabilities.
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, 2017

A Generic Framework to Include Belief Functions in Preference Handling for Multi-criteria Decision.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2017

Querying Partially Labelled Data to Improve a K-nn Classifier.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Modelling and predicting partial orders from pairwise belief functions.
Soft Comput., 2016

Online active learning of decision trees with evidential data.
Pattern Recognit., 2016

Unifying parameter learning and modelling complex systems with epistemic uncertainty using probability interval.
Inf. Sci., 2016

An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia.
Neurocomputing, 2016

Interpreting evidential distances by connecting them to partial orders: Application to belief function approximation.
Int. J. Approx. Reason., 2016

A decision support system for eco-efficient biorefinery process comparison using a semantic approach.
Comput. Electron. Agric., 2016

Technical Gestures Recognition by Set-Valued Hidden Markov Models with Prior Knowledge.
Proceedings of the Soft Methods for Data Science, 2016

Comparing System Reliabilities with Ill-Known Probabilities.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2016

A decision support system using multi-source scientific data, an ontological approach and soft computing - application to eco-efficient biorefinery.
Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Idempotent Conjunctive Combination of Belief Functions by Distance Minimization.
Proceedings of the Belief Functions: Theory and Applications, 2016

Co-training with Credal Models.
Proceedings of the Artificial Neural Networks in Pattern Recognition, 2016

2015
A Consistency-Specificity Trade-Off to Select Source Behavior in Information Fusion.
IEEE Trans. Cybern., 2015

Multilabel predictions with sets of probabilities: The Hamming and ranking loss cases.
Pattern Recognit., 2015

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

Imprecise Probability: Theories and Applications (ISIPTA'13).
Int. J. Approx. Reason., 2015

Ranking of fuzzy intervals seen through the imprecise probabilistic lens.
Fuzzy Sets Syst., 2015

Cautious label ranking with label-wise decomposition.
Eur. J. Oper. Res., 2015

A Decision Support System to design modified atmosphere packaging for fresh produce based on a bipolar flexible querying approach.
Comput. Electron. Agric., 2015

Optimal expert elicitation to reduce interval uncertainty.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Uncertainty, elicitation of experts' opinion, and human failures: Challenges for RAM analysis of ERTMS SoS.
Proceedings of the 10th System of Systems Engineering Conference, SoSE 2015, 2015

Evidential likelihood flatness as a way tomeasure data quality: the multinomial case.
Proceedings of the 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (IFSA-EUSFLAT-15), 2015

Elicitation of a Utility from Uncertainty Equivalent Without Standard Gambles.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014
Editorial.
Int. J. Approx. Reason., 2014

Comments on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization" by Eyke Hüllermeier.
Int. J. Approx. Reason., 2014

Comments on "A distance-based statistical analysis of fuzzy number-valued data" by the SMIRE research group.
Int. J. Approx. Reason., 2014

Inclusion-exclusion principle for belief functions.
Int. J. Approx. Reason., 2014

Cautious Ordinal Classification by Binary Decomposition.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

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

Application of E 2 M Decision Trees to Rubber Quality Prediction.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Kolmogorov-Smirnov Test for Interval Data.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Multilabel Prediction with Probability Sets: The Hamming Loss Case.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Nested Dichotomies with probability sets for multi-class classification.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning.
Proceedings of the Belief Functions: Theory and Applications, 2014

2013
Flexible Bipolar Querying of Uncertain Data Using an Ontology.
Proceedings of the Flexible Approaches in Data, Information and Knowledge Management, 2013

An extension of Universal Generating Function in Multi-State Systems Considering Epistemic Uncertainties.
IEEE Trans. Reliab., 2013

Evaluating Data Reliability: An Evidential Answer with Application to a Web-Enabled Data Warehouse.
IEEE Trans. Knowl. Data Eng., 2013

Toward an Axiomatic Definition of Conflict Between Belief Functions.
IEEE Trans. Cybern., 2013

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

An iterative approach to build relevant ontology-aware data-driven models.
Inf. Sci., 2013

How to Randomly Generate Mass Functions.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2013

Independence and 2-monotonicity: Nice to have, hard to keep.
Int. J. Approx. Reason., 2013

A Pairwise Label Ranking Method with Imprecise Scores and Partial Predictions.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Learning Decision Trees from Uncertain Data with an Evidential EM Approach.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Decision support system using flexible query and reliability assessment - application to biodegradable and biosourced packaging design.
Proceedings of the FUZZ-IEEE 2013, 2013

Selecting Source Behavior in Information Fusion on the Basis of Consistency and Specificity.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

Extreme Points of the Credal Sets Generated by Elementary Comparative Probabilities.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2013

2012
Filtering with clouds.
Soft Comput., 2012

A K-nearest neighbours method based on imprecise probabilities.
Soft Comput., 2012

Evaluation of the Naive Evidential Classifier (NEC): A Comparison between Its Two Variants Based on a Real Agronomic Application.
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

Correcting Binary Imprecise Classifiers: Local vs Global Approach.
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble Classification.
Proceedings of the Synergies of Soft Computing and Statistics for Intelligent Data Analysis, 2012

Classification Trees Based on Belief Functions.
Proceedings of the Belief Functions: Theory and Applications, 2012

Revisiting the Notion of Conflicting Belief Functions.
Proceedings of the Belief Functions: Theory and Applications, 2012

Random Generation of Mass Functions: A Short Howto.
Proceedings of the Belief Functions: Theory and Applications, 2012

2011
Idempotent conjunctive combination of belief functions: Extending the minimum rule of possibility theory.
Inf. Sci., 2011

Handling bipolar knowledge with imprecise probabilities.
Int. J. Intell. Syst., 2011

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

A flexible bipolar querying approach with imprecise data and guaranteed results.
Fuzzy Sets Syst., 2011

Combining Binary Classifiers with Imprecise Probabilities.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2011

Data Reliability Assessment in a Data Warehouse Opened on the Web.
Proceedings of the Flexible Query Answering Systems - 9th International Conference, 2011

F-boxes for filtering.
Proceedings of the 7th conference of the European Society for Fuzzy Logic and Technology, 2011

2010
Numerical accuracy and efficiency in the propagation of epistemic and aleatory uncertainties.
Int. J. Gen. Syst., 2010

Evaluating Trust from Past Assessments with Imprecise Probabilities: Comparing Two Approaches.
Proceedings of the Scalable Uncertainty Management - 4th International Conference, 2010

Handling Bipolar Knowledge with Credal Sets.
Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

A Decision Rule for Imprecise Probabilities Based on Pair-Wise Comparison of Expectation Bounds.
Proceedings of the Combining Soft Computing and Statistical Methods in Data Analysis, 2010

Ontology-Driven Possibilistic Reference Fusion.
Proceedings of the On the Move to Meaningful Internet Systems, 2010

Making Ontology-Based Knowledge and Decision Trees Interact: An Approach to Enrich Knowledge and Increase Expert Confidence in Data-Driven Models.
Proceedings of the Knowledge Science, 2010

Using Cloudy Kernels for Imprecise Linear Filtering.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

A New Contextual Discounting Rule for Lower Probabilities.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Applications, 2010

A K-Nearest Neighbours Method Based on Lower Previsions.
Proceedings of the Computational Intelligence for Knowledge-Based Systems Design, 2010

Fuzzy belief structures viewed as classical belief structures: A practical viewpoint.
Proceedings of the FUZZ-IEEE 2010, 2010

2009
Possibilistic Information Fusion Using Maximal Coherent Subsets.
IEEE Trans. Fuzzy Syst., 2009

A Consonant Approximation of the Product of Independent Consonant Random Sets.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009

Computing expectations with continuous p-boxes: Univariate case.
Int. J. Approx. Reason., 2009

Can the Minimum Rule of Possibility Theory Be Extended to Belief Functions?.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2009

2008
Uncertainty representation and combination: new results with application to nuclear safety issues. (Représentation et combinaison d'informations incertaines : nouveaux résultats avec applications aux études de sûreté nucléaires).
PhD thesis, 2008

Unifying practical uncertainty representations. II: Clouds.
Int. J. Approx. Reason., 2008

Unifying practical uncertainty representations - I: Generalized p-boxes.
Int. J. Approx. Reason., 2008

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

Relating Epistemic Irrelevance to Event Trees.
Proceedings of the Soft Methods for Handling Variability and Imprecision, 2008

2007
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares - Application to a depollution problem.
Fuzzy Sets Syst., 2007

Numerical Sensitivity and Efficiency in the Treatment of Epistemic and Aleatory Uncertainty
CoRR, 2007

Using the OLS Algorithm to Build Interpretable Rule Bases: An Application to a Depollution Problem.
Proceedings of the FUZZ-IEEE 2007, 2007

Transforming Probability Intervals into Other Uncertainty Models.
Proceedings of the New Dimensions in Fuzzy Logic and Related Technologies. Proceedings of the 5th EUSFLAT Conference, 2007

Cautious Conjunctive Merging of Belief Functions.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2007

2006
A Unified View of Some Representations of Imprecise Probabilities.
Proceedings of the Soft Methods for Integrated Uncertainty Modelling, 2006


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