Jean-Christophe Dubois

Orcid: 0000-0002-6099-9050

According to our database1, Jean-Christophe Dubois authored at least 21 papers between 1997 and 2024.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Evidential uncertainty sampling strategies for active learning.
Mach. Learn., September, 2024

Quantifying and Leveraging Uncertain and Imprecise Answers in Multiple Choice Questionnaires for Crowdsourcing: Quantifier et exploiter des réponses incertaines et imprécises dans des questionnaires à choix multiples pour le crowdsourcing.
Proceedings of the 35th Conference on l'Interaction Humain-Machine, 2024

Méthode crédibiliste pour l'extraction d'incertitudes sans dépendance aux observations.
Proceedings of the Extraction et Gestion des Connaissances, 2024

Automated Hierarchical Conflict Reduction for Crowdsourced Annotation Tasks Using Belief Functions.
Proceedings of the Belief Functions: Theory and Applications, 2024

A Mean Distance Between Elements of Same Class for Rich Labels.
Proceedings of the Belief Functions: Theory and Applications, 2024

2023
Evidential Random Forests.
Expert Syst. Appl., November, 2023

Estimation of the qualification and behavior of a contributor and aggregation of his answers in a crowdsourcing context.
Expert Syst. Appl., April, 2023

Evidential uncertainties on rich labels for active learning.
CoRR, 2023

Modeling evolutionary responses in crowdsourcing MCQ using belief function theory.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 27th International Conference KES-2023, 2023

Datasets with Rich Labels for Machine Learning.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2023

2022
Real Bird Dataset with Imprecise and Uncertain Values.
Proceedings of the Belief Functions: Theory and Applications, 2022

Imperfect Labels with Belief Functions for Active Learning.
Proceedings of the Belief Functions: Theory and Applications, 2022

2021
Evidential Nearest Neighbours in Active Learning.
Proceedings of the Workshop on Interactive Adaptive Learning (IAL 2021) co-located with the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), 2021

Validation of Smets' Hypothesis in the Crowdsourcing Environment.
Proceedings of the Belief Functions: Theory and Applications, 2021

2020
Modélisation de l'incertitude et de l'imprécision de données de crowdsourcing : MONITOR.
Proceedings of the Extraction et Gestion des Connaissances, 2020

2019
Modeling Uncertainty and Inaccuracy on Data from Crowdsourcing Platforms: MONITOR.
Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

2018
Contributors profile modelization in crowdsourcing platforms.
CoRR, 2018

Measuring the Expertise of Workers for Crowdsourcing Applications.
Proceedings of the Advances in Knowledge Discovery and Management, 2018

2014
Designing a Belief Function-Based Accessibility Indicator to Improve Web Browsing for Disabled People.
Proceedings of the Belief Functions: Theory and Applications, 2014

1998
Vers une interrogation en langage naturel d'une base de données image.
PhD thesis, 1998

1997
Assessment of an operational dialogue system used by a blind telephone switchboard operator.
Proceedings of the Fifth European Conference on Speech Communication and Technology, 1997


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