A Unified View of Some Representations of Imprecise Probabilities. - Sébastien Destercke; Didier Dubois (SMPS, 2006)

Cautious Conjunctive Merging of Belief Functions. - Sébastien Destercke; Didier Dubois; Eric Chojnacki (ECSQARU, 2007)

Transforming Probability Intervals into Other Uncertainty Models. - Sébastien Destercke; Didier Dubois; Eric Chojnacki (EUSFLAT Conf. (2), 2007)

Using the OLS Algorithm to Build Interpretable Rule Bases: An Application to a Depollution Problem. - Sébastien Destercke; Serge Guillaume; Brigitte Charnomordic (FUZZ-IEEE, 2007)

Numerical Sensitivity and Efficiency in the Treatment of Epistemic and Aleatory Uncertainty - Eric Chojnacki; Jean Baccou; Sébastien Destercke (CoRR, 2007)

Building an interpretable fuzzy rule base from data using Orthogonal Least Squares - Application to a depollution problem. - Sébastien Destercke; Serge Guillaume; Brigitte Charnomordic (Fuzzy Sets Syst., 2007)

Relating Epistemic Irrelevance to Event Trees. - Sébastien Destercke; Gert de Cooman (SMPS, 2008)

Generalised p-Boxes on Totally Ordered Spaces. - Enrique Miranda 001; Matthias C. M. Troffaes; Sébastien Destercke (SMPS, 2008)

Unifying practical uncertainty representations - I: Generalized p-boxes. - Sébastien Destercke; Didier Dubois; Eric Chojnacki (Int. J. Approx. Reason., 2008)

Unifying practical uncertainty representations. II: Clouds. - Sébastien Destercke; Didier Dubois; Eric Chojnacki (Int. J. Approx. Reason., 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). - Sébastien Destercke (2008)

Can the Minimum Rule of Possibility Theory Be Extended to Belief Functions?. - Sébastien Destercke; Didier Dubois (ECSQARU, 2009)

Computing expectations with continuous p-boxes: Univariate case. - Lev V. Utkin; Sébastien Destercke (Int. J. Approx. Reason., 2009)

A Consonant Approximation of the Product of Independent Consonant Random Sets. - Sébastien Destercke; Didier Dubois; Eric Chojnacki (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2009)

Possibilistic Information Fusion Using Maximal Coherent Subsets. - Sébastien Destercke; Didier Dubois; Eric Chojnacki (IEEE Trans. Fuzzy Syst., 2009)

Fuzzy belief structures viewed as classical belief structures: A practical viewpoint. - Sébastien Destercke (FUZZ-IEEE, 2010)

A K-Nearest Neighbours Method Based on Lower Previsions. - Sébastien Destercke (IPMU, 2010)

A New Contextual Discounting Rule for Lower Probabilities. - Sébastien Destercke (IPMU (2), 2010)

Using Cloudy Kernels for Imprecise Linear Filtering. - Sébastien Destercke; Olivier Strauss (IPMU, 2010)

Making Ontology-Based Knowledge and Decision Trees Interact: An Approach to Enrich Knowledge and Increase Expert Confidence in Data-Driven Models. - Iyan Johnson; Joël Abécassis; Brigitte Charnomordic; Sébastien Destercke; Rallou Thomopoulos (KSEM, 2010)

Ontology-Driven Possibilistic Reference Fusion. - Fatiha Saïs; Rallou Thomopoulos; Sébastien Destercke (OTM Conferences (2), 2010)

A Decision Rule for Imprecise Probabilities Based on Pair-Wise Comparison of Expectation Bounds. - Sébastien Destercke (SMPS, 2010)

Handling Bipolar Knowledge with Credal Sets. - Sébastien Destercke (SMPS, 2010)

Evaluating Trust from Past Assessments with Imprecise Probabilities: Comparing Two Approaches. - Sébastien Destercke (SUM, 2010)

Numerical accuracy and efficiency in the propagation of epistemic and aleatory uncertainties. - Eric Chojnacki; Jean Baccou; Sébastien Destercke (Int. J. Gen. Syst., 2010)

F-boxes for filtering. - Olivier Strauss; Sébastien Destercke (EUSFLAT Conf., 2011)

Data Reliability Assessment in a Data Warehouse Opened on the Web. - Sébastien Destercke; Patrice Buche; Brigitte Charnomordic (FQAS, 2011)

Combining Binary Classifiers with Imprecise Probabilities. - Sébastien Destercke; Benjamin Quost (IUKM, 2011)

A flexible bipolar querying approach with imprecise data and guaranteed results. - Sébastien Destercke; Patrice Buche; Valérie Guillard (Fuzzy Sets Syst., 2011)

Probability boxes on totally preordered spaces for multivariate modelling. - Matthias C. M. Troffaes; Sébastien Destercke (Int. J. Approx. Reason., 2011)

Handling bipolar knowledge with imprecise probabilities. - Sébastien Destercke (Int. J. Intell. Syst., 2011)

Idempotent conjunctive combination of belief functions: Extending the minimum rule of possibility theory. - Sébastien Destercke; Didier Dubois (Inf. Sci., 2011)

Random Generation of Mass Functions: A Short Howto. - Thomas Burger; Sébastien Destercke (Belief Functions, 2012)

Revisiting the Notion of Conflicting Belief Functions. - Sébastien Destercke; Thomas Burger (Belief Functions, 2012)

Classification Trees Based on Belief Functions. - Nicolas Sutton-Charani; Sébastien Destercke; Thierry Denoeux (Belief Functions, 2012)

Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble Classification. - Sébastien Destercke; Violaine Antoine (SMPS, 2012)

Correcting Binary Imprecise Classifiers: Local vs Global Approach. - Sébastien Destercke; Benjamin Quost (SUM, 2012)

Evaluation of the Naive Evidential Classifier (NEC): A Comparison between Its Two Variants Based on a Real Agronomic Application. - Yosra Mazigh; Boutheina Ben Yaghlane; Sébastien Destercke (SUM, 2012)

A K-nearest neighbours method based on imprecise probabilities. - Sébastien Destercke (Soft Comput., 2012)

Filtering with clouds. - Sébastien Destercke; Olivier Strauss (Soft Comput., 2012)

Extreme Points of the Credal Sets Generated by Elementary Comparative Probabilities. - Enrique Miranda 001; Sébastien Destercke (ECSQARU, 2013)

Selecting Source Behavior in Information Fusion on the Basis of Consistency and Specificity. - Frédéric Pichon; Sébastien Destercke; Thomas Burger (ECSQARU, 2013)

Decision support system using flexible query and reliability assessment - application to biodegradable and biosourced packaging design. - Sébastien Destercke; Patrice Buche; Brigitte Charnomordic; Valérie Guillard (FUZZ-IEEE, 2013)

Learning Decision Trees from Uncertain Data with an Evidential EM Approach. - Nicolas Sutton-Charani; Sébastien Destercke; Thierry Denoeux (ICMLA (1), 2013)

A Pairwise Label Ranking Method with Imprecise Scores and Partial Predictions. - Sébastien Destercke (ECML/PKDD (2), 2013)

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

How to Randomly Generate Mass Functions. - Thomas Burger; Sébastien Destercke (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2013)

An iterative approach to build relevant ontology-aware data-driven models. - Rallou Thomopoulos; Sébastien Destercke; Brigitte Charnomordic; Iyan Johnson; Joël Abécassis (Inf. Sci., 2013)

On the connection between probability boxes and possibility measures. - Matthias C. M. Troffaes; Enrique Miranda 001; Sébastien Destercke (Inf. Sci., 2013)

Toward an Axiomatic Definition of Conflict Between Belief Functions. - Sébastien Destercke; Thomas Burger (IEEE Trans. Cybern., 2013)

Evaluating Data Reliability: An Evidential Answer with Application to a Web-Enabled Data Warehouse. - Sébastien Destercke; Patrice Buche; Brigitte Charnomordic (IEEE Trans. Knowl. Data Eng., 2013)

An extension of Universal Generating Function in Multi-State Systems Considering Epistemic Uncertainties. - Sébastien Destercke; Mohamed Sallak (IEEE Trans. Reliab., 2013)

Flexible Bipolar Querying of Uncertain Data Using an Ontology. - Patrice Buche; Sébastien Destercke; Valérie Guillard; Ollivier Haemmerlé; Rallou Thomopoulos (Flexible Approaches in Data, Information and Knowledge Management, 2013)

Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning. - Nicolas Sutton-Charani; Sébastien Destercke; Thierry Denoeux (Belief Functions, 2014)

Nested Dichotomies with probability sets for multi-class classification. - Gen Yang; Sébastien Destercke; Marie-Hélène Masson (ECAI, 2014)

Multilabel Prediction with Probability Sets: The Hamming Loss Case. - Sébastien Destercke (IPMU (2), 2014)

Kolmogorov-Smirnov Test for Interval Data. - Sébastien Destercke; Olivier Strauss (IPMU (3), 2014)

Application of E 2 M Decision Trees to Rubber Quality Prediction. - Nicolas Sutton-Charani; Sébastien Destercke; Thierry Denoeux (IPMU (1), 2014)

A Note on Learning Dependence under Severe Uncertainty. - Matthias C. M. Troffaes; Frank P. A. Coolen; Sébastien Destercke (IPMU (3), 2014)

Cautious Ordinal Classification by Binary Decomposition. - Sébastien Destercke; Gen Yang (ECML/PKDD (1), 2014)

Inclusion-exclusion principle for belief functions. - Felipe Aguirre; Sébastien Destercke; Didier Dubois; Mohamed Sallak; Christelle Jacob (Int. J. Approx. Reason., 2014)

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

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

Editorial. - Marie-Hélène Masson; Sébastien Destercke; Benjamin Quost (Int. J. Approx. Reason., 2014)

Elicitation of a Utility from Uncertainty Equivalent Without Standard Gambles. - Christophe Labreuche; Sébastien Destercke; Brice Mayag (ECSQARU, 2015)

Evidential likelihood flatness as a way tomeasure data quality: the multinomial case. - Liyao Ma; Sébastien Destercke; Yong Wang 007 (IFSA-EUSFLAT, 2015)

Uncertainty, elicitation of experts' opinion, and human failures: Challenges for RAM analysis of ERTMS SoS. - Mohamed Sallak; Sébastien Destercke; Walter Schön; Frédéric Vanderhaegen; Denis Berdjag; Christophe Simon (SoSE, 2015)

Optimal expert elicitation to reduce interval uncertainty. - Nadia Ben Abdallah; Sébastien Destercke (UAI, 2015)

A Decision Support System to design modified atmosphere packaging for fresh produce based on a bipolar flexible querying approach. - Valérie Guillard; Patrice Buche; Sébastien Destercke; Nouredine Tamani; Madalina Croitoru; Luc Menut; Carole Guillaume; Nathalie Gontard (Comput. Electron. Agric., 2015)

Cautious label ranking with label-wise decomposition. - Sébastien Destercke; Marie-Hélène Masson; Michael Poss (Eur. J. Oper. Res., 2015)

Ranking of fuzzy intervals seen through the imprecise probabilistic lens. - Sébastien Destercke; Inés Couso (Fuzzy Sets Syst., 2015)

Imprecise Probability: Theories and Applications (ISIPTA'13). - Fábio Gagliardi Cozman; Sébastien Destercke; Teddy Seidenfeld (Int. J. Approx. Reason., 2015)

A geometric and game-theoretic study of the conjunction of possibility measures. - Enrique Miranda 001; Matthias C. M. Troffaes; Sébastien Destercke (Inf. Sci., 2015)

Multilabel predictions with sets of probabilities: The Hamming and ranking loss cases. - Sébastien Destercke (Pattern Recognit., 2015)

A Consistency-Specificity Trade-Off to Select Source Behavior in Information Fusion. - Frédéric Pichon; Sébastien Destercke; Thomas Burger (IEEE Trans. Cybern., 2015)

Co-training with Credal Models. - Yann Soullard; Sébastien Destercke; Indira Thouvenin (ANNPR, 2016)

Idempotent Conjunctive Combination of Belief Functions by Distance Minimization. - John Klein; Sébastien Destercke; Olivier Colot (BELIEF, 2016)

A decision support system using multi-source scientific data, an ontological approach and soft computing - application to eco-efficient biorefinery. - Charlotte Lousteau-Cazalet; Abdellatif Barakat; Jean Pierre Belaud; Patrice Buche; Guillaume Busset; Brigitte Charnomordic; Stéphane Dervaux; Sébastien Destercke; Juliette Dibie; Caroline Sablayrolles; Claire Vialle (FUZZ-IEEE, 2016)

Comparing System Reliabilities with Ill-Known Probabilities. - Lanting Yu; Sébastien Destercke; Mohamed Sallak; Walter Schön (IPMU (2), 2016)

Technical Gestures Recognition by Set-Valued Hidden Markov Models with Prior Knowledge. - Yann Soullard; Alessandro Antonucci 001; Sébastien Destercke (SMPS, 2016)

A decision support system for eco-efficient biorefinery process comparison using a semantic approach. - Charlotte Lousteau-Cazalet; Abdellatif Barakat; Jean Pierre Belaud; Patrice Buche; Guillaume Busset; Brigitte Charnomordic; Stéphane Dervaux; Sébastien Destercke; Juliette Dibie; Caroline Sablayrolles; Claire Vialle (Comput. Electron. Agric., 2016)

Interpreting evidential distances by connecting them to partial orders: Application to belief function approximation. - John Klein; Sébastien Destercke; Olivier Colot (Int. J. Approx. Reason., 2016)

An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia. - Ana M. Palacios; Luciano Sánchez; Inés Couso; Sébastien Destercke (Neurocomputing, 2016)

Unifying parameter learning and modelling complex systems with epistemic uncertainty using probability interval. - Cédric Baudrit; Sébastien Destercke; Pierre-Henri Wuillemin (Inf. Sci., 2016)

Online active learning of decision trees with evidential data. - Liyao Ma; Sébastien Destercke; Yong Wang 007 (Pattern Recognit., 2016)

Modelling and predicting partial orders from pairwise belief functions. - Marie-Hélène Masson; Sébastien Destercke; Thierry Denoeux (Soft Comput., 2016)

Querying Partially Labelled Data to Improve a K-nn Classifier. - Vu-Linh Nguyen; Sébastien Destercke; Marie-Hélène Masson (AAAI, 2017)

A Generic Framework to Include Belief Functions in Preference Handling for Multi-criteria Decision. - Sébastien Destercke (ECSQARU, 2017)

A Study of the Pari-Mutuel Model from the Point of View of Imprecise Probabilities. - Ignacio Montes; Enrique Miranda 001; Sébastien Destercke (ISIPTA, 2017)

Reasons and Means to Model Preferences as Incomplete. - Olivier Cailloux; Sébastien Destercke (SUM, 2017)

K-Nearest Neighbour Classification for Interval-Valued Data. - Vu-Linh Nguyen; Sébastien Destercke; Marie-Hélène Masson (SUM, 2017)

On extreme points of p-boxes and belief functions. - Ignacio Montes; Sébastien Destercke (Ann. Math. Artif. Intell., 2017)

On the median in imprecise ordinal problems. - Sébastien Destercke (Ann. Oper. Res., 2017)

Easy and optimal queries to reduce set uncertainty. - Nadia Ben Abdallah; Sébastien Destercke; Mohamed Sallak (Eur. J. Oper. Res., 2017)

Comonotonicity for sets of probabilities. - Ignacio Montes; Sébastien Destercke (Fuzzy Sets Syst., 2017)

ECSQARU 2015 special issue. - Sébastien Destercke (Int. J. Approx. Reason., 2017)

Cautious classification with nested dichotomies and imprecise probabilities. - Gen Yang; Sébastien Destercke; Marie-Hélène Masson (Soft Comput., 2017)

The Costs of Indeterminacy: How to Determine Them? - Gen Yang; Sébastien Destercke; Marie-Hélène Masson (IEEE Trans. Cybern., 2017)

From Relations Between Sets to Relations Between Belief Functions. - Sébastien Destercke; Frédéric Pichon; John Klein (BELIEF, 2018)

Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty. - Vu-Linh Nguyen; Sébastien Destercke; Marie-Hélène Masson; Eyke Hüllermeier (IJCAI, 2018)

Density Estimation with Imprecise Kernels: Application to Classification. - Guillaume Dendievel; Sébastien Destercke; Pierre Wachalski (SMPS, 2018)

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

Idempotent conjunctive and disjunctive combination of belief functions by distance minimization. - John Klein; Sébastien Destercke; Olivier Colot (Int. J. Approx. Reason., 2018)

Partial data querying through racing algorithms. - Vu-Linh Nguyen; Sébastien Destercke; Marie-Hélène Masson (Int. J. Approx. Reason., 2018)

Classification by pairwise coupling of imprecise probabilities. - Benjamin Quost; Sébastien Destercke (Pattern Recognit., 2018)

Epistemic Uncertainty Sampling. - Vu-Linh Nguyen; Sébastien Destercke; Eyke Hüllermeier (DS, 2019)

How to Handle Missing Values in Multi-Criteria Decision Aiding?. - Christophe Labreuche; Sébastien Destercke (IJCAI, 2019)

A Unifying Frame for Neighbourhood and Distortion Models. - Enrique Miranda 001; Ignacio Montes; Sébastien Destercke (ISIPTA, 2019)

On Cautiousness and Expressiveness in Interval-Valued Logic. - Sébastien Destercke; Sylvain Lagrue (SUM, 2019)

Preference Elicitation with Uncertainty: Extending Regret Based Methods with Belief Functions. - Pierre-Louis Guillot; Sébastien Destercke (SUM, 2019)

Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants. - Eyke Hüllermeier; Sébastien Destercke; Inés Couso (SUM, 2019)

From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). - Zied Bouraoui; Antoine Cornuéjols; Thierry Denoeux; Sébastien Destercke; Didier Dubois; Romain Guillaume; João Marques-Silva 001; Jérôme Mengin; Henri Prade; Steven Schockaert; Mathieu Serrurier; Christel Vrain (CoRR, 2019)

Special issue on the tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '17). - Alessandro Antonucci 001; Giorgio Corani; Inés Couso; Sébastien Destercke (Int. J. Approx. Reason., 2019)

From set relations to belief function relations. - Sébastien Destercke; Frédéric Pichon; John Klein (Int. J. Approx. Reason., 2019)

Pari-mutuel probabilities as an uncertainty model. - Ignacio Montes; Enrique Miranda 001; Sébastien Destercke (Inf. Sci., 2019)

Conformal multi-target regression using neural networks. - Soundouss Messoudi; Sébastien Destercke; Sylvain Rousseau 001 (COPA, 2020)

Prédiction conformelle profonde pour des modèles robustes. - Soundouss Messoudi; Sylvain Rousseau 001; Sébastien Destercke (EGC, 2020)

Manipulating Focal Sets on the Unit Simplex: Application to Plastic Sorting. - Lucie Jacquin; Abdelhak Imoussaten; Sébastien Destercke; François Trousset; Jacky Montmain; Didier Perrin (FUZZ-IEEE, 2020)

Cautious Label-Wise Ranking with Constraint Satisfaction. - Yonatan Carlos Carranza Alarcón; Soundouss Messoudi; Sébastien Destercke (IPMU (2), 2020)

Approximating General Kernels by Extended Fuzzy Measures: Application to Filtering. - Sébastien Destercke; Agnès Rico; Olivier Strauss (IPMU (2), 2020)

Handling Mixture Optimisation Problem Using Cautious Predictions and Belief Functions. - Lucie Jacquin; Abdelhak Imoussaten; Sébastien Destercke (IPMU (2), 2020)

Deep Conformal Prediction for Robust Models. - Soundouss Messoudi; Sylvain Rousseau 001; Sébastien Destercke (IPMU (1), 2020)

Dealing with Inconsistent Measurements in Inverse Problems: An Approach Based on Sets and Intervals. - Krushna Shinde; Pierre Feissel; Sébastien Destercke (IPMU (3), 2020)

Equity in Learning Problems: An OWA Approach. - Juliette Ortholand; Sébastien Destercke; Khaled Belahcène (SUM, 2020)

Dealing with Atypical Instances in Evidential Decision-Making. - Benjamin Quost; Marie-Hélène Masson; Sébastien Destercke (SUM, 2020)

Cautious relational clustering: A thresholding approach. - Marie-Hélène Masson; Benjamin Quost; Sébastien Destercke (Expert Syst. Appl., 2020)

Special issue on 9th International Conference on Soft Methods in Probability and Statistics (SMPS). - Sébastien Destercke; Maria Brigida Ferraro; Beatriz Sinova (Int. J. Approx. Reason., 2020)

Special issue from the 5th International Conference on Belief Functions (BELIEF 2018). - Sébastien Destercke; David Mercier; Frédéric Pichon (Int. J. Approx. Reason., 2020)

Unifying neighbourhood and distortion models: part I - new results on old models. - Ignacio Montes; Enrique Miranda 001; Sébastien Destercke (Int. J. Gen. Syst., 2020)

Unifying neighbourhood and distortion models: part II - new models and synthesis. - Ignacio Montes; Enrique Miranda 001; Sébastien Destercke (Int. J. Gen. Syst., 2020)

Incremental Elicitation of Preferences: Optimist or Pessimist? - Loïc Adam; Sébastien Destercke (ADT, 2021)

Logical and Evidential Inconsistencies Meet: First Steps. - Nadia Ben Abdallah; Sébastien Destercke; Anne-Laure Jousselme; Frédéric Pichon (BELIEF, 2021)

A Note About Entropy and Inconsistency in Evidence Theory. - Anne-Laure Jousselme; Frédéric Pichon; Nadia Ben Abdallah; Sébastien Destercke (BELIEF, 2021)

Class-wise confidence for debt prediction in real estate management: discussion and lessons learned from an application. - Soundouss Messoudi; Sébastien Destercke; Sylvain Rousseau 001 (COPA, 2021)

Multi-label Chaining with Imprecise Probabilities. - Yonatan Carlos Carranza Alarcón; Sébastien Destercke (ECSQARU, 2021)

Distributionally Robust, Skeptical Binary Inferences in Multi-label Problems. - Yonatan Carlos Carranza Alarcón; Sébastien Destercke (ISIPTA, 2021)

Processing Multiple Distortion Models: a Comparative Study. - Sébastien Destercke; Ignacio Montes; Enrique Miranda 001 (ISIPTA, 2021)

Possibilistic preference elicitation by minimax regret. - Loïc Adam; Sébastien Destercke (UAI, 2021)

Inference and Decision in Credal Occupancy Grids: Use Case on Trajectory Planning. - Marie-Hélène Masson; Sébastien Destercke; Véronique Cherfaoui (Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2021)

Imprecise Gaussian discriminant classification. - Yonatan Carlos Carranza Alarcón; Sébastien Destercke (Pattern Recognit., 2021)

Copula-based conformal prediction for multi-target regression. - Soundouss Messoudi; Sébastien Destercke; Sylvain Rousseau 001 (Pattern Recognit., 2021)

Racing trees to query partial data. - Vu-Linh Nguyen; Sébastien Destercke; Marie-Hélène Masson; Rashad Ghassani (Soft Comput., 2021)

Uncertain data in learning: challenges and opportunities. - Sébastien Destercke (COPA, 2022)

Ellipsoidal conformal inference for Multi-Target Regression. - Soundouss Messoudi; Sébastien Destercke; Sylvain Rousseau 001 (COPA, 2022)

Prédiction conformelle basée sur les copules pour la régression multi-cibles. - Soundouss Messoudi; Sébastien Destercke; Sylvain Rousseau 001 (EGC, 2022)

A Robust Bayesian Estimation Approach for the Imprecise Plackett-Luce Model. - Tathagata Basu; Sébastien Destercke; Benjamin Quost (IPMU (1), 2022)

Necessary and Possibly Optimal Items in Selecting Problems. - Sébastien Destercke; Romain Guillaume (IPMU (1), 2022)

Explications de recommandations fondées sur des principes d'équité à l'aide de transferts. - Hénoïk Willot; Khaled Belahcène; Sébastien Destercke (JIAF, 2022)

Sous-ensembles maximaux cohérents multidimensionnels rendus faciles : illustration sur un problème d'estimation. - Loïc Adam; Sébastien Destercke (LFA, 2022)

Copules, probabilités inférieures et ensembles aléatoires : comment et quand les appliquer? - Roman Malinowski; Sébastien Destercke (LFA, 2022)

Explications de classifications robustes à l'aide d'implicants premiers. - Hénoïk Willot; Sébastien Destercke; Khaled Belahcène (LFA, 2022)

Using Atomic Bounds to Get Sub-modular Approximations. - Sébastien Destercke; Agnès Rico; Olivier Strauss (SUM, 2022)

Decision Making Under Severe Uncertainty on a Budget. - Nawapon Nakharutai; Sébastien Destercke; Matthias C. M. Troffaes (SUM, 2022)

Explaining Robust Classification Through Prime Implicants. - Hénoïk Willot; Sébastien Destercke; Khaled Belahcène (SUM, 2022)

Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison. - Eyke Hüllermeier; Sébastien Destercke; Mohammad Hossein Shaker (UAI, 2022)

Skeptical binary inferences in multi-label problems with sets of probabilities. - Yonatan Carlos Carranza Alarcón; Sébastien Destercke (CoRR, 2022)

Processing distortion models: A comparative study. - Sébastien Destercke; Ignacio Montes; Enrique Miranda 001 (Int. J. Approx. Reason., 2022)

Self Learning using Venn-Abers predictors. - Come Rodriguez; Vitor Martin Bordini; Sébastien Destercke; Benjamin Quost (COPA, 2023)

On the Enumeration of Non-dominated Spanning Trees with Imprecise Weights. - Tom Davot; Sébastien Destercke; David Savourey (ECSQARU, 2023)

Learning Sets of Probabilities Through Ensemble Methods. - Vu-Linh Nguyen; Haifei Zhang; Sébastien Destercke (ECSQARU, 2023)

Learning calibrated belief functions from conformal predictions. - Vitor Martin Bordini; Sébastien Destercke; Benjamin Quost (ISIPTA, 2023)

Uncertainty propagation using copulas in a 3D stereo matching pipeline. - Roman Malinowski; Sébastien Destercke; Emmanuel Dubois 003; Loïc Dumas; Emmanuelle Sarrazin (ISIPTA, 2023)

Prime implicants as a versatile tool to explain robust classification. - Hénoïk Willot; Sébastien Destercke; Khaled Belahcène (ISIPTA, 2023)

Les implicants premiers, un outil polyvalent pour l'explication de classification robuste. - Hénoïk Willot; Sébastien Destercke; Khaled Belahcène (JIAF, 2023)

Integrating collective know-how for multicriteria decision support in agrifood chains - application to cheesemaking. - Patrice Buche; Julien Couteaux; Julien Cufi; Sébastien Destercke; Alrick Oudot (Frontiers Artif. Intell., 2023)

On Computing Evidential Centroid Through Conjunctive Combination: An Impossibility Theorem. - Yiru Zhang; Sébastien Destercke; Zuowei Zhang 001; Tassadit Bouadi; Arnaud Martin 001 (IEEE Trans. Artif. Intell., 2023)

Copula-based conformal prediction for object detection: a more efficient approach. - Bruce Cyusa Mukama; Soundouss Messoudi; Sylvain Rousseau 001; Sébastien Destercke (COPA, 2024)

Principled Explanations for Robust Redistributive Decisions. - Hénoïk Willot; Khaled Belahcène; Sébastien Destercke (ECAI, 2024)

Robust Confidence Intervals for Digital Surface Models Using Satellite Photogrammetry. - Roman Malinowski; Emmanuelle Sarrazin; Emmanuel Dubois 003; Loïc Dumas; Sébastien Destercke (IGARSS, 2024)

Geospatial Uncertainties: A Focus on Intervals and Spatial Models Based on Inverse Distance Weighting. - Priscillia Labourg; Sébastien Destercke; Romain Guillaume; Jérémy Rohmer 001; Benjamin Quost; Stéphane Belbèze (IPMU (1), 2024)

Suppressing Impulse Noise via Cloud Filtering. - Olivier Strauss; Frédéric Comby; Sébastien Destercke (IPMU (3), 2024)

Explications et caractérisation de décisions équitables. - Hénoïk Willot; Khaled Belahcène; Sébastien Destercke (JIAF-JFPDA, 2024)

Robust Discrete Bayesian Classifier Under Covariate and Label Noise. - Wenlong Chen; Cyprien Gilet; Benjamin Quost; Sébastien Destercke (SUM, 2024)

Discrete Minimax Binary Relevance Classifier for Imbalanced Multi-label Classification. - Salvador Madrigal; Vu-Linh Nguyen; Cyprien Gilet; Sébastien Destercke (SUM, 2024)

Elicitation for Decision Problems Under Severe Uncertainties. - Nawapon Nakharutai; Matthias C. M. Troffaes; Sébastien Destercke (SUM, 2024)

Robust Confidence Intervals in Stereo Matching using Possibility Theory. - Roman Malinowski; Emmanuelle Sarrazin; Loïc Dumas; Emmanuel Dubois 003; Sébastien Destercke (CoRR, 2024)

Inferring from an imprecise Plackett-Luce model: Application to label ranking. - Loïc Adam; Arthur Van Camp; Sébastien Destercke; Benjamin Quost (Fuzzy Sets Syst., 2024)

Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. - Ismaïl Baaj; Zied Bouraoui; Antoine Cornuéjols; Thierry Denoeux; Sébastien Destercke; Didier Dubois; Marie-Jeanne Lesot; João Marques-Silva 001; Jérôme Mengin; Henri Prade; Steven Schockaert; Mathieu Serrurier; et al. (Int. J. Approx. Reason., 2024)

On the enumeration of non-dominated matroids with imprecise weights. - Tom Davot; Tuan-Anh Vu; Sébastien Destercke; David Savourey (Int. J. Approx. Reason., 2024)

Editorial of the special issue "Synergies Between Machine Learning and Reasoning". - Sébastien Destercke; Jérôme Mengin; Henri Prade (Int. J. Approx. Reason., 2024)

Uncertainty propagation in stereo matching using copulas. - Roman Malinowski; Sébastien Destercke; Loïc Dumas; Emmanuel Dubois 003; Emmanuelle Sarrazin (Int. J. Approx. Reason., 2024)

Regret-based budgeted decision rules under severe uncertainty. - Nawapon Nakharutai; Sébastien Destercke; Matthias C. M. Troffaes (Inf. Sci., 2024)

Softmin discrete minimax classifier for imbalanced classes and prior probability shifts. - Cyprien Gilet; Marie Guyomard; Sébastien Destercke; Lionel Fillatre (Mach. Learn., 2024)

Handling inconsistency in (numerical) preferences using possibility theory. - Loïc Adam; Sébastien Destercke (Inf. Fusion, 2024)

Advances in preference handling: foreword. - Khaled Belahcène; Sébastien Destercke; Christophe Labreuche; Meltem Öztürk; Paolo Viappiani (Ann. Math. Artif. Intell., 2024)

Hierarchical Copula-based Conformal Prediction and Exact Validity via Nested Prediction Regions. - Bruce Cyusa Mukama; Soundouss Messoudi; Sylvain Rousseau 001; Sébastien Destercke (COPA, 2025)

Robust Decisions: Bridging the Quantitative-Qualitative Gap. - Sébastien Destercke; Agnès Rico (EUSFLAT (2), 2025)

Credal discrete classifier. - Wenlong Chen; Cyprien Gilet; Benjamin Quost; Sébastien Destercke (ISIPTA, 2025)

On the value of varied evidence for imprecise probabilities. - Jürgen Landes; Sébastien Destercke (ISIPTA, 2025)

Information Fusion as a Useful Tool to Estimate Parameters from Imprecise Data? - Sébastien Destercke (IUKM (1), 2025)

Robust Classification in Bayesian Neural Networks. - Kim-Dung Tran; Xuan-Truong Hoang; Vu-Linh Nguyen; Sébastien Destercke; Van-Nam Huynh (IUKM (1), 2025)

Théorie des possibilités et modèles numériques linéaires pour l'inférence sur une base de croyances. - Armand Gaudillier; Khaled Belahcène; Wassila Ouerdane; Sébastien Destercke (JIAF-JFPDA, 2025)

Cadres d'argumentation bipolaire quantitatifs avec incertitude. - Jordan Thieyre; Caren Al Anaissy; Aurélie Beynier; Sébastien Destercke; Nicolas Maudet; Srdjan Vesic (JIAF-JFPDA, 2025)

Guaranteed Prediction Sets for Functional Surrogate Models. - Ander Gray; Vignesh Gopakumar; Sylvain Rousseau 001; Sébastien Destercke (UAI, 2025)

Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition. - Arthur Hoarau; Benjamin Quost; Sébastien Destercke; Willem Waegeman (CoRR, 2025)

Guaranteed confidence-band enclosures for PDE surrogates. - Ander Gray; Vignesh Gopakumar; Sylvain Rousseau 001; Sébastien Destercke (CoRR, 2025)

Credal ensembling in multi-class classification. - Vu-Linh Nguyen; Haifei Zhang; Sébastien Destercke (Mach. Learn., 2025)

Robust Explanations Through Uncertainty Decomposition: A Path to Trustworthier AI. - Chenrui Zhu; Louenas Bounia; Vu-Linh Nguyen; Sébastien Destercke; Arthur Hoarau (CoRR, 2025)