Benjamin Quost

52 papers B 4C 6Journal 20Unranked 21

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Counterfactual Explanations for Cautious Random Forests. ACM Trans. Knowl. Discov. Data Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
2025	J	`jnl`	Cautious classifier ensembles for set-valued decision-making. Int. J. Approx. Reason. Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
2025	—	`conf`	Credal discrete classifier. ISIPTA Wenlong Chen, Cyprien Gilet, Benjamin Quost, Sébastien Destercke
2025	B	`conf`	Imposing Constraints in Probabilistic Circuits via Gradient Optimization. IDA Soroush Ghandi, Benjamin Quost, Cassio de Campos
2025	J	`jnl`	Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition. CoRR Arthur Hoarau, Benjamin Quost, Sébastien Destercke, Willem Waegeman
2025	J	`jnl`	Soft learning probabilistic circuits. Int. J. Approx. Reason. Soroush Ghandi, Benjamin Quost, Cassio P. de Campos
2024	J	`jnl`	Deep reinforcement learning with predictive auxiliary task for autonomous train collision avoidance. J. Rail Transp. Plan. Manag. Antoine Plissonneau, Luca Jourdan, Damien Trentesaux, Lotfi Abdi, Mohamed Sallak, Abdelghani Bekrar, Benjamin Quost, Walter Schön
2024	—	`conf`	Geospatial Uncertainties: A Focus on Intervals and Spatial Models Based on Inverse Distance Weighting. IPMU (1) Priscillia Labourg, Sébastien Destercke, Romain Guillaume, Jérémy Rohmer, Benjamin Quost, Stéphane Belbèze
2024	J	`jnl`	Inferring from an imprecise Plackett-Luce model: Application to label ranking. Fuzzy Sets Syst. Loïc Adam, Arthur Van Camp, Sébastien Destercke, Benjamin Quost
2024	—	`conf`	Probabilistic Circuits with Constraints via Convex Optimization. ECML/PKDD (3) Soroush Ghandi, Benjamin Quost, Cassio de Campos
2024	J	`jnl`	Probabilistic Circuits with Constraints via Convex Optimization. CoRR Soroush Ghandi, Benjamin Quost, Cassio de Campos
2024	—	`conf`	Robust Discrete Bayesian Classifier Under Covariate and Label Noise. SUM Wenlong Chen, Cyprien Gilet, Benjamin Quost, Sébastien Destercke
2024	—	`conf`	Soft Learning Probabilistic Circuits. PGM Soroush Ghandi, Benjamin Quost, Cassio de Campos
2024	J	`jnl`	Soft Learning Probabilistic Circuits. CoRR Soroush Ghandi, Benjamin Quost, Cassio de Campos
2023	C	`conf`	Cautious Decision-Making for Tree Ensembles. ECSQARU Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
2023	J	`jnl`	Cautious weighted random forests. Expert Syst. Appl. Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
2023	—	`conf`	Learning calibrated belief functions from conformal predictions. ISIPTA Vitor Martin Bordini, Sébastien Destercke, Benjamin Quost
2023	C	`conf`	Robust Consumption Planning from Uncertain Power Demand Predictions. IV Mathieu Randon, Benjamin Quost, Dirk von Wissel, Nassim Boudaoud
2023	—	`conf`	Self Learning using Venn-Abers predictors. COPA Come Rodriguez, Vitor Martin Bordini, Sébastien Destercke, Benjamin Quost
2022	—	`conf`	A Robust Bayesian Estimation Approach for the Imprecise Plackett-Luce Model. IPMU (1) Tathagata Basu, Sébastien Destercke, Benjamin Quost
2022	—	`conf`	Explications contrefactuelles pour les forêts aléatoires prudentes. LFA Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
2022	—	`conf`	Forêts aléatoires prudentes : une nouvelle stratégie de décision et quelques expériences. LFA Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
2022	C	`conf`	Vehicle consumption estimation via calibrated Gaussian Process regression. IV Mathieu Randon, Benjamin Quost, Nassim Boudaoud, Dirk von Wissel
2021	—	`conf`	Cautious Random Forests: a New Decision Strategy and some Experiments. ISIPTA Haifei Zhang, Benjamin Quost, Marie-Hélène Masson
2021	—	`conf`	Decision-making from Partial Instances by Active Feature Querying. ISIPTA Benjamin Quost
2020	J	`jnl`	Cautious relational clustering: A thresholding approach. Expert Syst. Appl. Marie-Hélène Masson, Benjamin Quost, Sébastien Destercke
2020	—	`conf`	Dealing with Atypical Instances in Evidential Decision-Making. SUM Benjamin Quost, Marie-Hélène Masson, Sébastien Destercke
2020	—	`conf`	Inferring from an Imprecise Plackett-Luce Model: Application to Label Ranking. SUM Loïc Adam, Arthur Van Camp, Sébastien Destercke, Benjamin Quost
2019	—	`ed.`	Scalable Uncertainty Management - 13th International Conference, SUM 2019, Compiègne, France, December 16-18, 2019, Proceedings SUM Nahla Ben Amor, Benjamin Quost, Martin Theobald
2018	J	`jnl`	Classification by pairwise coupling of imprecise probabilities. Pattern Recognit. Benjamin Quost, Sébastien Destercke
2017	J	`jnl`	Moving object detection and segmentation in urban environments from a moving platform. Image Vis. Comput. Dingfu Zhou, Vincent Frémont, Benjamin Quost, Yuchao Dai, Hongdong Li
2017	J	`jnl`	Parametric classification with soft labels using the evidential EM algorithm: linear discriminant analysis versus logistic regression. Adv. Data Anal. Classif. Benjamin Quost, Thierry Denoeux, Shoumei Li
2016	J	`jnl`	Clustering and classification of fuzzy data using the fuzzy EM algorithm. Fuzzy Sets Syst. Benjamin Quost, Thierry Denoeux
2015	B	`conf`	Estimating energy consumption of a PHEV using vehicle and on-board navigation data. Intelligent Vehicles Symposium Abdel-Djalil Ourabah, Benjamin Quost, Atef Gayed, Thierry Denoeux
2014	J	`jnl`	CEVCLUS: evidential clustering with instance-level constraints for relational data. Soft Comput. Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux
2014	J	`jnl`	Editorial. Int. J. Approx. Reason. Marie-Hélène Masson, Sébastien Destercke, Benjamin Quost
2014	—	`conf`	Logistic Regression of Soft Labeled Instances via the Evidential EM Algorithm. Belief Functions Benjamin Quost
2014	B	`conf`	On modeling ego-motion uncertainty for moving object detection from a mobile platform. Intelligent Vehicles Symposium Dingfu Zhou, Vincent Frémont, Benjamin Quost, Bihao Wang
2014	C	`conf`	Soft label based semi-supervised boosting for classification and object recognition. ICARCV Dingfu Zhou, Benjamin Quost, Vincent Frémont
2013	—	`conf`	Sound Source Localization from Uncertain Information Using the Evidential EM Algorithm. SUM Xun Wang, Benjamin Quost, Jean-Daniel Chazot, Jérôme Antoni
2012	J	`jnl`	CECM: Constrained evidential C-means algorithm. Comput. Stat. Data Anal. Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux
2012	—	`conf`	Correcting Binary Imprecise Classifiers: Local vs Global Approach. SUM Sébastien Destercke, Benjamin Quost
2011	—	`conf`	CEVCLUS: Constrained evidential clustering of proximity data. EUSFLAT Conf. Violaine Antoine, Benjamin Quost, Mylène Masson, Thierry Denoeux
2011	J	`jnl`	Classifier fusion in the Dempster-Shafer framework using optimized t-norm based combination rules. Int. J. Approx. Reason. Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux
2011	—	`conf`	Combining Binary Classifiers with Imprecise Probabilities. IUKM Sébastien Destercke, Benjamin Quost
2010	B	`conf`	CECM: Adding pairwise constraints to evidential clustering. FUZZ-IEEE Violaine Antoine, Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux
2010	—	`conf`	Clustering Fuzzy Data Using the Fuzzy EM Algorithm. SUM Benjamin Quost, Thierry Denoeux
2009	—	`conf`	Learning from data with uncertain labels by boosting credal classifiers. KDD Workshop on Knowledge Discovery from Uncertain Data Benjamin Quost, Thierry Denoeux
2008	C	`conf`	Refined classifier combination using belief functions. FUSION Benjamin Quost, Marie-Hélène Masson, Thierry Denoeux
2008	J	`jnl`	Refined modeling of sensor reliability in the belief function framework using contextual discounting. Inf. Fusion David Mercier, Benjamin Quost, Thierry Denoeux
2007	J	`jnl`	Pairwise classifier combination using belief functions. Pattern Recognit. Lett. Benjamin Quost, Thierry Denoeux, Marie-Hélène Masson
2005	C	`conf`	Contextual Discounting of Belief Functions. ECSQARU David Mercier, Benjamin Quost, Thierry Denoeux