default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDSébastien Destercke
Person information
- affiliation: Université de Technologie de Compiègne, France
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
Books and Theses
- 2008
[b1]Sébastien Destercke:
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). Paul Sabatier University, Toulouse, France, 2008
Journal Articles
- 2024
- [j71]Loïc Adam
, Arthur Van Camp, Sébastien Destercke, Benjamin Quost:
Inferring from an imprecise Plackett-Luce model: Application to label ranking. Fuzzy Sets Syst. 482: 108908 (2024) - [j70]Roman Malinowski, Sébastien Destercke, Loïc Dumas, Emmanuel Dubois, Emmanuelle Sarrazin:
Uncertainty propagation in stereo matching using copulas. Int. J. Approx. Reason. 170: 109191 (2024) - [j69]Ismaïl Baaj, Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Marie-Jeanne Lesot, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Olivier Strauss, Christel Vrain:
Synergies between machine learning and reasoning - An introduction by the Kay R. Amel group. Int. J. Approx. Reason. 171: 109206 (2024) - [j68]Sébastien Destercke, Jérôme Mengin, Henri Prade:
Editorial of the special issue "Synergies Between Machine Learning and Reasoning". Int. J. Approx. Reason. 171: 109207 (2024) - [j67]Tom Davot, Tuan-Anh Vu, Sébastien Destercke, David Savourey:
On the enumeration of non-dominated matroids with imprecise weights. Int. J. Approx. Reason. 174: 109266 (2024) - [j66]Loïc Adam, Sébastien Destercke:
Handling inconsistency in (numerical) preferences using possibility theory. Inf. Fusion 103: 102089 (2024) - [j65]Nawapon Nakharutai, Sébastien Destercke, Matthias C. M. Troffaes:
Regret-based budgeted decision rules under severe uncertainty. Inf. Sci. 665: 120361 (2024) - [j64]Cyprien Gilet, Marie Guyomard, Sébastien Destercke, Lionel Fillatre:
Softmin discrete minimax classifier for imbalanced classes and prior probability shifts. Mach. Learn. 113(2): 605-645 (2024) - 2023
- [j63]Patrice Buche, Julien Couteaux, Julien Cufi, Sébastien Destercke, Alrick Oudot:
Integrating collective know-how for multicriteria decision support in agrifood chains - application to cheesemaking. Frontiers Artif. Intell. 6 (2023) - [j62]Yiru Zhang, Sébastien Destercke, Zuowei Zhang, Tassadit Bouadi, Arnaud Martin:
On Computing Evidential Centroid Through Conjunctive Combination: An Impossibility Theorem. IEEE Trans. Artif. Intell. 4(3): 487-496 (2023) - 2022
- [j61]Sébastien Destercke, Ignacio Montes, Enrique Miranda:
Processing distortion models: A comparative study. Int. J. Approx. Reason. 145: 91-120 (2022) - 2021
- [j60]Marie-Hélène Masson, Sébastien Destercke, Véronique Cherfaoui:
Inference and Decision in Credal Occupancy Grids: Use Case on Trajectory Planning. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 29(4): 537-557 (2021) - [j59]Yonatan Carlos Carranza Alarcón, Sébastien Destercke:
Imprecise Gaussian discriminant classification. Pattern Recognit. 112: 107739 (2021) - [j58]Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau:
Copula-based conformal prediction for multi-target regression. Pattern Recognit. 120: 108101 (2021) - [j57]Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson, Rashad Ghassani:
Racing trees to query partial data. Soft Comput. 25(14): 9285-9305 (2021) - 2020
- [j56]Marie-Hélène Masson, Benjamin Quost, Sébastien Destercke:
Cautious relational clustering: A thresholding approach. Expert Syst. Appl. 139 (2020) - [j55]Sébastien Destercke, David Mercier, Frédéric Pichon:
Special issue from the 5th International Conference on Belief Functions (BELIEF 2018). Int. J. Approx. Reason. 117: 50-51 (2020) - [j54]Sébastien Destercke, Maria Brigida Ferraro, Beatriz Sinova:
Special issue on 9th International Conference on Soft Methods in Probability and Statistics (SMPS). Int. J. Approx. Reason. 124: 217-218 (2020) - [j53]Ignacio Montes, Enrique Miranda, Sébastien Destercke:
Unifying neighbourhood and distortion models: part I - new results on old models. Int. J. Gen. Syst. 49(6): 602-635 (2020) - [j52]Ignacio Montes, Enrique Miranda, Sébastien Destercke:
Unifying neighbourhood and distortion models: part II - new models and synthesis. Int. J. Gen. Syst. 49(6): 636-674 (2020) - 2019
- [j51]Sébastien Destercke, Frédéric Pichon, John Klein:
From set relations to belief function relations. Int. J. Approx. Reason. 110: 46-63 (2019) - [j50]Alessandro Antonucci, Giorgio Corani, Inés Couso, Sébastien Destercke:
Special issue on the tenth International Symposium on Imprecise Probability: Theories and Applications (ISIPTA '17). Int. J. Approx. Reason. 111: 100-101 (2019) - [j49]Ignacio Montes, Enrique Miranda, Sébastien Destercke:
Pari-mutuel probabilities as an uncertainty model. Inf. Sci. 481: 550-573 (2019) - 2018
- [j48]John Klein, Sébastien Destercke, Olivier Colot:
Idempotent conjunctive and disjunctive combination of belief functions by distance minimization. Int. J. Approx. Reason. 92: 32-48 (2018) - [j47]Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson:
Partial data querying through racing algorithms. Int. J. Approx. Reason. 96: 36-55 (2018) - [j46]Sébastien Destercke:
A generic framework to include belief functions in preference handling and multi-criteria decision. Int. J. Approx. Reason. 98: 62-77 (2018) - [j45]Benjamin Quost, Sébastien Destercke:
Classification by pairwise coupling of imprecise probabilities. Pattern Recognit. 77: 412-425 (2018) - 2017
- [j44]Ignacio Montes, Sébastien Destercke:
On extreme points of p-boxes and belief functions. Ann. Math. Artif. Intell. 81(3-4): 405-428 (2017) - [j43]Sébastien Destercke:
On the median in imprecise ordinal problems. Ann. Oper. Res. 256(2): 375-392 (2017) - [j42]Nadia Ben Abdallah, Sébastien Destercke, Mohamed Sallak:
Easy and optimal queries to reduce set uncertainty. Eur. J. Oper. Res. 256(2): 592-604 (2017) - [j41]Ignacio Montes, Sébastien Destercke:
Comonotonicity for sets of probabilities. Fuzzy Sets Syst. 328: 1-34 (2017) - [j40]Sébastien Destercke:
ECSQARU 2015 special issue. Int. J. Approx. Reason. 80: 359-360 (2017) - [j39]Gen Yang, Sébastien Destercke, Marie-Hélène Masson:
Cautious classification with nested dichotomies and imprecise probabilities. Soft Comput. 21(24): 7447-7462 (2017) - [j38]Gen Yang, Sébastien Destercke, Marie-Hélène Masson:
The Costs of Indeterminacy: How to Determine Them? IEEE Trans. Cybern. 47(12): 4316-4327 (2017) - 2016
- [j37]Charlotte Lousteau-Cazalet, Abdellatif Barakat, Jean Pierre Belaud, Patrice Buche, Guillaume Busset, Brigitte Charnomordic, Stéphane Dervaux, Sébastien Destercke, Juliette Dibie, Caroline Sablayrolles, Claire Vialle:
A decision support system for eco-efficient biorefinery process comparison using a semantic approach. Comput. Electron. Agric. 127: 351-367 (2016) - [j36]John Klein, Sébastien Destercke, Olivier Colot:
Interpreting evidential distances by connecting them to partial orders: Application to belief function approximation. Int. J. Approx. Reason. 71: 15-33 (2016) - [j35]Ana M. Palacios, Luciano Sánchez, Inés Couso, Sébastien Destercke:
An extension of the FURIA classification algorithm to low quality data through fuzzy rankings and its application to the early diagnosis of dyslexia. Neurocomputing 176: 60-71 (2016) - [j34]Cédric Baudrit, Sébastien Destercke, Pierre-Henri Wuillemin:
Unifying parameter learning and modelling complex systems with epistemic uncertainty using probability interval. Inf. Sci. 367-368: 630-647 (2016) - [j33]Liyao Ma, Sébastien Destercke, Yong Wang:
Online active learning of decision trees with evidential data. Pattern Recognit. 52: 33-45 (2016) - [j32]Marie-Hélène Masson, Sébastien Destercke, Thierry Denoeux:
Modelling and predicting partial orders from pairwise belief functions. Soft Comput. 20(3): 939-950 (2016) - 2015
- [j31]Valérie Guillard, Patrice Buche, Sébastien Destercke, Nouredine Tamani, Madalina Croitoru, Luc Menut, Carole Guillaume, Nathalie Gontard:
A Decision Support System to design modified atmosphere packaging for fresh produce based on a bipolar flexible querying approach. Comput. Electron. Agric. 111: 131-139 (2015) - [j30]Sébastien Destercke, Marie-Hélène Masson, Michael Poss:
Cautious label ranking with label-wise decomposition. Eur. J. Oper. Res. 246(3): 927-935 (2015) - [j29]Sébastien Destercke, Inés Couso:
Ranking of fuzzy intervals seen through the imprecise probabilistic lens. Fuzzy Sets Syst. 278: 20-39 (2015) - [j28]Fábio Gagliardi Cozman, Sébastien Destercke, Teddy Seidenfeld:
Imprecise Probability: Theories and Applications (ISIPTA'13). Int. J. Approx. Reason. 56: 157-158 (2015) - [j27]Enrique Miranda, Matthias C. M. Troffaes, Sébastien Destercke:
A geometric and game-theoretic study of the conjunction of possibility measures. Inf. Sci. 298: 373-389 (2015) - [j26]Sébastien Destercke:
Multilabel predictions with sets of probabilities: The Hamming and ranking loss cases. Pattern Recognit. 48(11): 3757-3765 (2015) - [j25]Frédéric Pichon, Sébastien Destercke, Thomas Burger:
A Consistency-Specificity Trade-Off to Select Source Behavior in Information Fusion. IEEE Trans. Cybern. 45(4): 598-609 (2015) - 2014
- [j24]Marie-Hélène Masson, Sébastien Destercke, Benjamin Quost:
Editorial. Int. J. Approx. Reason. 55(1): 275-276 (2014) - [j23]Sébastien Destercke:
Comments on "A distance-based statistical analysis of fuzzy number-valued data" by the SMIRE research group. Int. J. Approx. Reason. 55(7): 1575-1577 (2014) - [j22]Sébastien Destercke:
Comments on "Learning from imprecise and fuzzy observations: Data disambiguation through generalized loss minimization" by Eyke Hüllermeier. Int. J. Approx. Reason. 55(7): 1588-1590 (2014) - [j21]Felipe Aguirre, Sébastien Destercke, Didier Dubois, Mohamed Sallak, Christelle Jacob:
Inclusion-exclusion principle for belief functions. Int. J. Approx. Reason. 55(8): 1708-1727 (2014) - 2013
- [j20]Sébastien Destercke:
Independence and 2-monotonicity: Nice to have, hard to keep. Int. J. Approx. Reason. 54(4): 478-490 (2013) - [j19]Thomas Burger, Sébastien Destercke:
How to Randomly Generate Mass Functions. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 21(5): 645-674 (2013) - [j18]Rallou Thomopoulos, Sébastien Destercke, Brigitte Charnomordic, Iyan Johnson, Joël Abécassis:
An iterative approach to build relevant ontology-aware data-driven models. Inf. Sci. 221: 452-472 (2013) - [j17]Matthias C. M. Troffaes, Enrique Miranda, Sébastien Destercke:
On the connection between probability boxes and possibility measures. Inf. Sci. 224: 88-108 (2013) - [j16]Sébastien Destercke, Thomas Burger:
Toward an Axiomatic Definition of Conflict Between Belief Functions. IEEE Trans. Cybern. 43(2): 585-596 (2013) - [j15]Sébastien Destercke, Patrice Buche, Brigitte Charnomordic:
Evaluating Data Reliability: An Evidential Answer with Application to a Web-Enabled Data Warehouse. IEEE Trans. Knowl. Data Eng. 25(1): 92-105 (2013) - [j14]Sébastien Destercke, Mohamed Sallak:
An extension of Universal Generating Function in Multi-State Systems Considering Epistemic Uncertainties. IEEE Trans. Reliab. 62(2): 504-514 (2013) - 2012
- [j13]Sébastien Destercke, Olivier Strauss:
Filtering with clouds. Soft Comput. 16(5): 821-831 (2012) - [j12]Sébastien Destercke:
A K-nearest neighbours method based on imprecise probabilities. Soft Comput. 16(5): 833-844 (2012) - 2011
- [j11]Sébastien Destercke, Patrice Buche, Valérie Guillard:
A flexible bipolar querying approach with imprecise data and guaranteed results. Fuzzy Sets Syst. 169(1): 51-64 (2011) - [j10]Matthias C. M. Troffaes, Sébastien Destercke:
Probability boxes on totally preordered spaces for multivariate modelling. Int. J. Approx. Reason. 52(6): 767-791 (2011) - [j9]Sébastien Destercke:
Handling bipolar knowledge with imprecise probabilities. Int. J. Intell. Syst. 26(5): 426-443 (2011) - [j8]Sébastien Destercke, Didier Dubois:
Idempotent conjunctive combination of belief functions: Extending the minimum rule of possibility theory. Inf. Sci. 181(18): 3925-3945 (2011) - 2010
- [j7]Eric Chojnacki, Jean Baccou, Sébastien Destercke:
Numerical accuracy and efficiency in the propagation of epistemic and aleatory uncertainties. Int. J. Gen. Syst. 39(7): 683-704 (2010) - 2009
- [j6]Lev V. Utkin, Sébastien Destercke:
Computing expectations with continuous p-boxes: Univariate case. Int. J. Approx. Reason. 50(5): 778-798 (2009) - [j5]Sébastien Destercke, Didier Dubois, Eric Chojnacki:
A Consonant Approximation of the Product of Independent Consonant Random Sets. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 17(6): 773-792 (2009) - [j4]Sébastien Destercke, Didier Dubois, Eric Chojnacki:
Possibilistic Information Fusion Using Maximal Coherent Subsets. IEEE Trans. Fuzzy Syst. 17(1): 79-92 (2009) - 2008
- [j3]Sébastien Destercke, Didier Dubois, Eric Chojnacki:
Unifying practical uncertainty representations - I: Generalized p-boxes. Int. J. Approx. Reason. 49(3): 649-663 (2008) - [j2]Sébastien Destercke, Didier Dubois, Eric Chojnacki:
Unifying practical uncertainty representations. II: Clouds. Int. J. Approx. Reason. 49(3): 664-677 (2008) - 2007
- [j1]Sébastien Destercke, Serge Guillaume, Brigitte Charnomordic:
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares - Application to a depollution problem. Fuzzy Sets Syst. 158(18): 2078-2094 (2007)
Conference and Workshop Papers
- 2024
- [c109]Hénoïk Willot, Khaled Belahcène, Sébastien Destercke:
Principled Explanations for Robust Redistributive Decisions. ECAI 2024: 979-986 - [c108]Roman Malinowski, Emmanuelle Sarrazin, Emmanuel Dubois, Loïc Dumas, Sébastien Destercke:
Robust Confidence Intervals for Digital Surface Models Using Satellite Photogrammetry. IGARSS 2024: 8741-8744 - [c107]Hénoïk Willot, Khaled Belahcène, Sébastien Destercke:
Explications et caractérisation de décisions équitables. JIAF-JFPDA 2024: 68-78 - 2023
- [c106]Come Rodriguez, Vitor Martin Bordini, Sébastien Destercke, Benjamin Quost:
Self Learning using Venn-Abers predictors. COPA 2023: 234-250 - [c105]Loïc Adam, Sébastien Destercke:
Handling Inconsistency in (Numerical) Preferences Using Possibility Theory. ECSQARU 2023: 239-253 - [c104]Vu-Linh Nguyen, Haifei Zhang, Sébastien Destercke:
Learning Sets of Probabilities Through Ensemble Methods. ECSQARU 2023: 270-283 - [c103]Tom Davot, Sébastien Destercke, David Savourey:
On the Enumeration of Non-dominated Spanning Trees with Imprecise Weights. ECSQARU 2023: 348-358 - [c102]Roman Malinowski, Sébastien Destercke, Emmanuel Dubois, Loïc Dumas, Emmanuelle Sarrazin:
Uncertainty propagation using copulas in a 3D stereo matching pipeline. ISIPTA 2023: 288-298 - [c101]Vitor Martin Bordini, Sébastien Destercke, Benjamin Quost:
Learning calibrated belief functions from conformal predictions. ISIPTA 2023: 311-320 - [c100]Hénoïk Willot, Sébastien Destercke, Khaled Belahcène:
Prime implicants as a versatile tool to explain robust classification. ISIPTA 2023: 461-471 - [c99]Hénoïk Willot, Sébastien Destercke, Khaled Belahcène:
Les implicants premiers, un outil polyvalent pour l'explication de classification robuste. JIAF 2023: 146-155 - 2022
- [c98]Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau:
Ellipsoidal conformal inference for Multi-Target Regression. COPA 2022: 294-306 - [c97]Sébastien Destercke:
Uncertain data in learning: challenges and opportunities. COPA 2022: 322-332 - [c96]Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau:
Prédiction conformelle basée sur les copules pour la régression multi-cibles. EGC 2022: 403-410 - [c95]Sébastien Destercke, Romain Guillaume:
Necessary and Possibly Optimal Items in Selecting Problems. IPMU (1) 2022: 494-503 - [c94]Tathagata Basu, Sébastien Destercke, Benjamin Quost:
A Robust Bayesian Estimation Approach for the Imprecise Plackett-Luce Model. IPMU (1) 2022: 757-769 - [c93]Hénoïk Willot, Khaled Belahcène, Sébastien Destercke:
Explications de recommandations fondées sur des principes d'équité à l'aide de transferts. JIAF 2022: 47-48 - [c92]Loïc Adam, Sébastien Destercke:
Sous-ensembles maximaux cohérents multidimensionnels rendus faciles : illustration sur un problème d'estimation. LFA 2022 - [c91]Roman Malinowski, Sébastien Destercke:
Copules, probabilités inférieures et ensembles aléatoires : comment et quand les appliquer? LFA 2022 - [c90]Hénoïk Willot, Sébastien Destercke, Khaled Belahcène:
Explications de classifications robustes à l'aide d'implicants premiers. LFA 2022 - [c89]Sébastien Destercke, Agnès Rico, Olivier Strauss:
Using Atomic Bounds to Get Sub-modular Approximations. SUM 2022: 64-78 - [c88]Nawapon Nakharutai, Sébastien Destercke, Matthias C. M. Troffaes:
Decision Making Under Severe Uncertainty on a Budget. SUM 2022: 186-201 - [c87]Hénoïk Willot, Sébastien Destercke, Khaled Belahcène:
Explaining Robust Classification Through Prime Implicants. SUM 2022: 361-369 - [c86]Eyke Hüllermeier, Sébastien Destercke, Mohammad Hossein Shaker:
Quantification of Credal Uncertainty in Machine Learning: A Critical Analysis and Empirical Comparison. UAI 2022: 548-557 - 2021
- [c85]Loïc Adam, Sébastien Destercke:
Incremental Elicitation of Preferences: Optimist or Pessimist? ADT 2021: 71-85 - [c84]Nadia Ben Abdallah, Sébastien Destercke, Anne-Laure Jousselme, Frédéric Pichon:
Logical and Evidential Inconsistencies Meet: First Steps. BELIEF 2021: 207-214 - [c83]Anne-Laure Jousselme, Frédéric Pichon, Nadia Ben Abdallah, Sébastien Destercke:
A Note About Entropy and Inconsistency in Evidence Theory. BELIEF 2021: 215-223 - [c82]Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau:
Class-wise confidence for debt prediction in real estate management: discussion and lessons learned from an application. COPA 2021: 211-228 - [c81]Yonatan Carlos Carranza Alarcón, Sébastien Destercke:
Multi-label Chaining with Imprecise Probabilities. ECSQARU 2021: 413-426 - [c80]Yonatan Carlos Carranza Alarcón, Sébastien Destercke:
Distributionally Robust, Skeptical Binary Inferences in Multi-label Problems. ISIPTA 2021: 51-60 - [c79]Sébastien Destercke, Ignacio Montes, Enrique Miranda:
Processing Multiple Distortion Models: a Comparative Study. ISIPTA 2021: 122-131 - [c78]Loïc Adam, Sébastien Destercke:
Possibilistic preference elicitation by minimax regret. UAI 2021: 718-727 - 2020
- [c77]Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau:
Conformal multi-target regression using neural networks. COPA 2020: 65-83 - [c76]Soundouss Messoudi, Sylvain Rousseau, Sébastien Destercke:
Prédiction conformelle profonde pour des modèles robustes. EGC 2020: 301-308 - [c75]Lucie Jacquin, Abdelhak Imoussaten, Sébastien Destercke, François Trousset, Jacky Montmain, Didier Perrin:
Manipulating Focal Sets on the Unit Simplex: Application to Plastic Sorting. FUZZ-IEEE 2020: 1-7 - [c74]Yonatan Carlos Carranza Alarcón, Soundouss Messoudi, Sébastien Destercke:
Cautious Label-Wise Ranking with Constraint Satisfaction. IPMU (2) 2020: 96-111 - [c73]Sébastien Destercke, Agnès Rico, Olivier Strauss:
Approximating General Kernels by Extended Fuzzy Measures: Application to Filtering. IPMU (2) 2020: 112-123 - [c72]Lucie Jacquin, Abdelhak Imoussaten, Sébastien Destercke:
Handling Mixture Optimisation Problem Using Cautious Predictions and Belief Functions. IPMU (2) 2020: 394-407 - [c71]Krushna Shinde, Pierre Feissel, Sébastien Destercke:
Dealing with Inconsistent Measurements in Inverse Problems: An Approach Based on Sets and Intervals. IPMU (3) 2020: 449-462 - [c70]Soundouss Messoudi, Sylvain Rousseau, Sébastien Destercke:
Deep Conformal Prediction for Robust Models. IPMU (1) 2020: 528-540 - [c69]Loïc Adam, Arthur Van Camp, Sébastien Destercke, Benjamin Quost:
Inferring from an Imprecise Plackett-Luce Model: Application to Label Ranking. SUM 2020: 98-112 - [c68]Juliette Ortholand, Sébastien Destercke, Khaled Belahcène:
Equity in Learning Problems: An OWA Approach. SUM 2020: 187-199 - [c67]Benjamin Quost, Marie-Hélène Masson, Sébastien Destercke:
Dealing with Atypical Instances in Evidential Decision-Making. SUM 2020: 217-225 - 2019
- [c66]Vu-Linh Nguyen, Sébastien Destercke, Eyke Hüllermeier:
Epistemic Uncertainty Sampling. DS 2019: 72-86 - [c65]Christophe Labreuche, Sébastien Destercke:
How to Handle Missing Values in Multi-Criteria Decision Aiding?. IJCAI 2019: 1756-1763 - [c64]Yonatan Carlos Carranza Alarcón, Sébastien Destercke:
Imprecise Gaussian Discriminant Classification. ISIPTA 2019: 59-67 - [c63]Enrique Miranda, Ignacio Montes, Sébastien Destercke:
A Unifying Frame for Neighbourhood and Distortion Models. ISIPTA 2019: 304-313 - [c62]Eyke Hüllermeier, Sébastien Destercke, Inés Couso:
Learning from Imprecise Data: Adjustments of Optimistic and Pessimistic Variants. SUM 2019: 266-279 - [c61]Sébastien Destercke, Sylvain Lagrue:
On Cautiousness and Expressiveness in Interval-Valued Logic. SUM 2019: 280-288 - [c60]Pierre-Louis Guillot, Sébastien Destercke:
Preference Elicitation with Uncertainty: Extending Regret Based Methods with Belief Functions. SUM 2019: 289-309 - 2018
- [c59]Sébastien Destercke, Frédéric Pichon, John Klein:
From Relations Between Sets to Relations Between Belief Functions. BELIEF 2018: 65-72 - [c58]Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson, Eyke Hüllermeier:
Reliable Multi-class Classification based on Pairwise Epistemic and Aleatoric Uncertainty. IJCAI 2018: 5089-5095 - [c57]Guillaume Dendievel, Sébastien Destercke, Pierre Wachalski:
Density Estimation with Imprecise Kernels: Application to Classification. SMPS 2018: 59-67 - 2017
- [c56]Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson:
Querying Partially Labelled Data to Improve a K-nn Classifier. AAAI 2017: 2401-2407 - [c55]Sébastien Destercke:
A Generic Framework to Include Belief Functions in Preference Handling for Multi-criteria Decision. ECSQARU 2017: 179-189 - [c54]Ignacio Montes, Enrique Miranda, Sébastien Destercke:
A Study of the Pari-Mutuel Model from the Point of View of Imprecise Probabilities. ISIPTA 2017: 229-240 - [c53]Olivier Cailloux, Sébastien Destercke:
Reasons and Means to Model Preferences as Incomplete. SUM 2017: 17-30 - [c52]Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson:
K-Nearest Neighbour Classification for Interval-Valued Data. SUM 2017: 93-106 - 2016
- [c51]Yann Soullard, Sébastien Destercke, Indira Thouvenin:
Co-training with Credal Models. ANNPR 2016: 92-104 - [c50]John Klein, Sébastien Destercke, Olivier Colot:
Idempotent Conjunctive Combination of Belief Functions by Distance Minimization. BELIEF 2016: 156-163 - [c49]Charlotte Lousteau-Cazalet, Abdellatif Barakat, Jean Pierre Belaud, Patrice Buche, Guillaume Busset, Brigitte Charnomordic, Stéphane Dervaux, Sébastien Destercke, Juliette Dibie, Caroline Sablayrolles, Claire Vialle:
A decision support system using multi-source scientific data, an ontological approach and soft computing - application to eco-efficient biorefinery. FUZZ-IEEE 2016: 249-256 - [c48]Lanting Yu, Sébastien Destercke, Mohamed Sallak, Walter Schön:
Comparing System Reliabilities with Ill-Known Probabilities. IPMU (2) 2016: 619-629 - [c47]Vu-Linh Nguyen, Sébastien Destercke, Marie-Hélène Masson:
Partial Data Querying Through Racing Algorithms. IUKM 2016: 163-174 - [c46]Ignacio Montes, Sébastien Destercke:
On Extreme Points of p-Boxes and Belief Functions. SMPS 2016: 363-371 - [c45]Yann Soullard, Alessandro Antonucci, Sébastien Destercke:
Technical Gestures Recognition by Set-Valued Hidden Markov Models with Prior Knowledge. SMPS 2016: 455-462 - 2015
- [c44]Christophe Labreuche, Sébastien Destercke, Brice Mayag:
Elicitation of a Utility from Uncertainty Equivalent Without Standard Gambles. ECSQARU 2015: 25-35 - [c43]Liyao Ma, Sébastien Destercke, Yong Wang:
Evidential likelihood flatness as a way tomeasure data quality: the multinomial case. IFSA-EUSFLAT 2015 - [c42]Mohamed Sallak, Sébastien Destercke, Walter Schön, Frédéric Vanderhaegen, Denis Berdjag, Christophe Simon:
Uncertainty, elicitation of experts' opinion, and human failures: Challenges for RAM analysis of ERTMS SoS. SoSE 2015: 88-93 - [c41]Nadia Ben Abdallah, Sébastien Destercke:
Optimal expert elicitation to reduce interval uncertainty. UAI 2015: 12-21 - 2014
- [c40]Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux:
Training and Evaluating Classifiers from Evidential Data: Application to E 2 M Decision Tree Pruning. Belief Functions 2014: 87-94 - [c39]Gen Yang, Sébastien Destercke, Marie-Hélène Masson:
Nested Dichotomies with probability sets for multi-class classification. ECAI 2014: 363-368 - [c38]Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux:
Application of E 2 M Decision Trees to Rubber Quality Prediction. IPMU (1) 2014: 107-116 - [c37]Sébastien Destercke, Olivier Strauss:
Kolmogorov-Smirnov Test for Interval Data. IPMU (3) 2014: 416-425 - [c36]Sébastien Destercke:
Multilabel Prediction with Probability Sets: The Hamming Loss Case. IPMU (2) 2014: 496-505 - [c35]Matthias C. M. Troffaes, Frank P. A. Coolen, Sébastien Destercke:
A Note on Learning Dependence under Severe Uncertainty. IPMU (3) 2014: 498-507 - [c34]Sébastien Destercke, Gen Yang:
Cautious Ordinal Classification by Binary Decomposition. ECML/PKDD (1) 2014: 323-337 - 2013
- [c33]Enrique Miranda, Sébastien Destercke:
Extreme Points of the Credal Sets Generated by Elementary Comparative Probabilities. ECSQARU 2013: 424-435 - [c32]Frédéric Pichon, Sébastien Destercke, Thomas Burger:
Selecting Source Behavior in Information Fusion on the Basis of Consistency and Specificity. ECSQARU 2013: 473-484 - [c31]Sébastien Destercke, Patrice Buche, Brigitte Charnomordic, Valérie Guillard:
Decision support system using flexible query and reliability assessment - application to biodegradable and biosourced packaging design. FUZZ-IEEE 2013 - [c30]Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux:
Learning Decision Trees from Uncertain Data with an Evidential EM Approach. ICMLA (1) 2013: 111-116 - [c29]Sébastien Destercke:
A Pairwise Label Ranking Method with Imprecise Scores and Partial Predictions. ECML/PKDD (2) 2013: 112-127 - 2012
- [c28]Nicolas Sutton-Charani, Sébastien Destercke, Thierry Denoeux:
Classification Trees Based on Belief Functions. Belief Functions 2012: 77-84 - [c27]Thomas Burger, Sébastien Destercke:
Random Generation of Mass Functions: A Short Howto. Belief Functions 2012: 145-152 - [c26]Sébastien Destercke, Thomas Burger:
Revisiting the Notion of Conflicting Belief Functions. Belief Functions 2012: 153-160 - [c25]Sébastien Destercke, Violaine Antoine:
Combining Imprecise Probability Masses with Maximal Coherent Subsets: Application to Ensemble Classification. SMPS 2012: 27-35 - [c24]Sébastien Destercke, Benjamin Quost:
Correcting Binary Imprecise Classifiers: Local vs Global Approach. SUM 2012: 299-310 - [c23]Yosra Mazigh, Boutheina Ben Yaghlane, Sébastien Destercke:
Evaluation of the Naive Evidential Classifier (NEC): A Comparison between Its Two Variants Based on a Real Agronomic Application. SUM 2012: 619-624 - 2011
- [c22]Sébastien Destercke:
Independence and 2-Monotonicity: Nice to Have, Hard to Keep. ECSQARU 2011: 263-274 - [c21]Matthias C. M. Troffaes, Enrique Miranda, Sébastien Destercke:
On the connection between probability boxes and possibility measures. EUSFLAT Conf. 2011: 836-843 - [c20]Olivier Strauss, Sébastien Destercke:
F-boxes for filtering. EUSFLAT Conf. 2011: 935-942 - [c19]Sébastien Destercke, Patrice Buche, Brigitte Charnomordic:
Data Reliability Assessment in a Data Warehouse Opened on the Web. FQAS 2011: 174-185 - [c18]Sébastien Destercke, Benjamin Quost:
Combining Binary Classifiers with Imprecise Probabilities. IUKM 2011: 219-230 - 2010
- [c17]Sébastien Destercke:
Fuzzy belief structures viewed as classical belief structures: A practical viewpoint. FUZZ-IEEE 2010: 1-8 - [c16]Sébastien Destercke:
A K-Nearest Neighbours Method Based on Lower Previsions. IPMU 2010: 129-138 - [c15]Sébastien Destercke:
A New Contextual Discounting Rule for Lower Probabilities. IPMU (2) 2010: 198-207 - [c14]Sébastien Destercke, Olivier Strauss:
Using Cloudy Kernels for Imprecise Linear Filtering. IPMU 2010: 198-207 - [c13]Iyan Johnson, Joël Abécassis, Brigitte Charnomordic, Sébastien Destercke, Rallou Thomopoulos:
Making Ontology-Based Knowledge and Decision Trees Interact: An Approach to Enrich Knowledge and Increase Expert Confidence in Data-Driven Models. KSEM 2010: 304-316 - [c12]Fatiha Saïs, Rallou Thomopoulos, Sébastien Destercke:
Ontology-Driven Possibilistic Reference Fusion. OTM Conferences (2) 2010: 1079-1096 - [c11]Sébastien Destercke:
A Decision Rule for Imprecise Probabilities Based on Pair-Wise Comparison of Expectation Bounds. SMPS 2010: 189-197 - [c10]Sébastien Destercke:
Handling Bipolar Knowledge with Credal Sets. SMPS 2010: 199-207 - [c9]Sébastien Destercke:
Evaluating Trust from Past Assessments with Imprecise Probabilities: Comparing Two Approaches. SUM 2010: 151-162 - 2009
- [c8]Sébastien Destercke, Didier Dubois:
Can the Minimum Rule of Possibility Theory Be Extended to Belief Functions?. ECSQARU 2009: 299-310 - 2008
- [c7]Sébastien Destercke, Gert de Cooman:
Relating Epistemic Irrelevance to Event Trees. SMPS 2008: 66-73 - [c6]Enrique Miranda, Matthias C. M. Troffaes, Sébastien Destercke:
Generalised p-Boxes on Totally Ordered Spaces. SMPS 2008: 235-242 - 2007
- [c5]Sébastien Destercke, Didier Dubois, Eric Chojnacki:
Cautious Conjunctive Merging of Belief Functions. ECSQARU 2007: 332-343 - [c4]Sébastien Destercke, Didier Dubois, Eric Chojnacki:
Transforming Probability Intervals into Other Uncertainty Models. EUSFLAT Conf. (2) 2007: 367-373 - [c3]Sébastien Destercke, Didier Dubois, Eric Chojnacki:
Possibilistic information fusion using maximal coherent subsets. FUZZ-IEEE 2007: 1-6 - [c2]Sébastien Destercke, Serge Guillaume, Brigitte Charnomordic:
Using the OLS Algorithm to Build Interpretable Rule Bases: An Application to a Depollution Problem. FUZZ-IEEE 2007: 1-6 - 2006
- [c1]Sébastien Destercke, Didier Dubois:
A Unified View of Some Representations of Imprecise Probabilities. SMPS 2006: 249-257
Parts in Books or Collections
- 2013
- [p1]Patrice Buche, Sébastien Destercke, Valérie Guillard, Ollivier Haemmerlé, Rallou Thomopoulos:
Flexible Bipolar Querying of Uncertain Data Using an Ontology. Flexible Approaches in Data, Information and Knowledge Management 2013: 165-188
Editorship
- 2019
- [e4]Sébastien Destercke, Thierry Denoeux, María Angeles Gil, Przemyslaw Grzegorzewski, Olgierd Hryniewicz:
Uncertainty Modelling in Data Science, SMPS 2018, Compiègne, France, 17-21 September 2018. Advances in Intelligent Systems and Computing 832, Springer 2019, ISBN 978-3-319-97546-7 [contents] - 2018
- [e3]Sébastien Destercke, Thierry Denoeux, Fabio Cuzzolin, Arnaud Martin:
Belief Functions: Theory and Applications - 5th International Conference, BELIEF 2018, Compiègne, France, September 17-21, 2018, Proceedings. Lecture Notes in Computer Science 11069, Springer 2018, ISBN 978-3-319-99382-9 [contents] - 2017
- [e2]Alessandro Antonucci, Giorgio Corani, Inés Couso, Sébastien Destercke:
Proceedings of the Tenth International Symposium on Imprecise Probability: Theories and Applications, Lugano, Switzerland, 10-14 July 2017. Proceedings of Machine Learning Research 62, PMLR 2017 [contents] - 2015
- [e1]Sébastien Destercke, Thierry Denoeux:
Symbolic and Quantitative Approaches to Reasoning with Uncertainty - 13th European Conference, ECSQARU 2015, Compiègne, France, July 15-17, 2015. Proceedings. Lecture Notes in Computer Science 9161, Springer 2015, ISBN 978-3-319-20806-0 [contents]
Informal and Other Publications
- 2024
- [i9]Roman Malinowski, Emmanuelle Sarrazin, Loïc Dumas, Emmanuel Dubois, Sébastien Destercke:
Robust Confidence Intervals in Stereo Matching using Possibility Theory. CoRR abs/2404.06273 (2024) - 2022
- [i8]Yonatan Carlos Carranza Alarcón, Sébastien Destercke:
Skeptical binary inferences in multi-label problems with sets of probabilities. CoRR abs/2205.00662 (2022) - 2021
- [i7]Soundouss Messoudi, Sébastien Destercke, Sylvain Rousseau:
Copula-based conformal prediction for Multi-Target Regression. CoRR abs/2101.12002 (2021) - [i6]Yonatan Carlos Carranza Alarcón, Sébastien Destercke:
Multi-label Chaining with Imprecise Probabilities. CoRR abs/2107.07443 (2021) - 2019
- [i5]Vu-Linh Nguyen, Sébastien Destercke, Eyke Hüllermeier:
Epistemic Uncertainty Sampling. CoRR abs/1909.00218 (2019) - [i4]Zied Bouraoui, Antoine Cornuéjols, Thierry Denoeux, Sébastien Destercke, Didier Dubois, Romain Guillaume, João Marques-Silva, Jérôme Mengin, Henri Prade, Steven Schockaert, Mathieu Serrurier, Christel Vrain:
From Shallow to Deep Interactions Between Knowledge Representation, Reasoning and Machine Learning (Kay R. Amel group). CoRR abs/1912.06612 (2019) - 2018
- [i3]Olivier Cailloux, Sébastien Destercke:
Reasons and Means to Model Preferences as Incomplete. CoRR abs/1801.01657 (2018) - 2008
- [i2]Sébastien Destercke, Serge Guillaume, Brigitte Charnomordic:
Building an interpretable fuzzy rule base from data using Orthogonal Least Squares Application to a depollution problem. CoRR abs/0808.2984 (2008) - 2007
- [i1]Eric Chojnacki, Jean Baccou, Sébastien Destercke:
Numerical Sensitivity and Efficiency in the Treatment of Epistemic and Aleatory Uncertainty. CoRR abs/0712.2141 (2007)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-11-07 21:33 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
