Arnaud Martin

Orcid: 0000-0003-0882-0153

According to our database1, Arnaud Martin authored at least 147 papers between 2000 and 2025.

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

Timeline

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Bibliography

2025
A survey of evidential clustering: Definitions, methods, and applications.
Inf. Fusion, 2025

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

Mixed-Type Imputation for Missing Data Credal Classification via Quality Matrices.
IEEE Trans. Syst. Man Cybern. Syst., August, 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

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

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

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

BSC: Belief Shift Clustering.
IEEE Trans. Syst. Man Cybern. Syst., March, 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
Learning a Credal Classifier With Optimized and Adaptive Multiestimation for Missing Data Imputation.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Evidential prototype-based clustering based on transfer learning.
Int. J. Approx. Reason., 2022

Belief functions on ordered frames of discernment.
CoRR, 2022

Reliability-Based Imbalanced Data Classification with Dempster-Shafer Theory.
Proceedings of the Belief Functions: Theory and Applications, 2022

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

Belief Functions on Ordered Frames of Discernment.
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
Dynamic evidential clustering algorithm.
Knowl. Based Syst., 2021

A distance for evidential preferences with application to group decision making.
Inf. Sci., 2021

Heterogeneous information fusion: Combination of multiple supervised and unsupervised classification methods based on belief functions.
Inf. Sci., 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

Evidential Clustering Based on Transfer Learning.
Proceedings of the Belief Functions: Theory and Applications, 2021

Fast Unfolding of Credal Partitions in Evidential Clustering.
Proceedings of the Belief Functions: Theory and Applications, 2021

Unequal Singleton Pair Distance for Evidential Preference Clustering.
Proceedings of the Belief Functions: Theory and Applications, 2021

Credal Clustering for Imbalanced Data.
Proceedings of the Belief Functions: Theory and Applications, 2021

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

2020
Gephebase, a database of genotype-phenotype relationships for natural and domesticated variation in Eukaryotes.
Nucleic Acids Res., 2020

Evidential positive opinion influence measures for viral marketing.
Knowl. Inf. Syst., 2020

Data Lake Governance: Towards a Systemic and Natural Ecosystem Analogy.
Future Internet, 2020

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

2019
Life and Death of Data in Data Lakes: Preserving Data Usability and Responsible Governance.
Proceedings of the Internet Science - 6th International Conference, 2019

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

A Belief Approach for Detecting Spammed Links in Social Networks.
Proceedings of the 11th International Conference on Agents and Artificial Intelligence, 2019

Conflict Management in Information Fusion with Belief Functions.
Proceedings of the Information Quality in Information Fusion and Decision Making, 2019

2018
Combination of Classifiers With Optimal Weight Based on Evidential Reasoning.
IEEE Trans. Fuzzy Syst., 2018

An evidential method for correcting noisy information in social network.
Online Soc. Networks Media, 2018

SELP: Semi-supervised evidential label propagation algorithm for graph data clustering.
Int. J. Approx. Reason., 2018

Contributors profile modelization in crowdsourcing platforms.
CoRR, 2018

A belief combination rule for a large number of sources.
CoRR, 2018

Exploiting Inter- and Intra-Base Crossing with Multi-Mappings: Application to Environmental Data.
Big Data Cogn. Comput., 2018

Independence of Sources in Social Networks.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems. Theory and Foundations, 2018

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

Combination of Supervised Learning and Unsupervised Learning Based on Object Association for Land Cover Classification.
Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

A Clustering Model for Uncertain Preferences Based on Belief Functions.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2018

Evidential Community Detection Based on Density Peaks.
Proceedings of the Belief Functions: Theory and Applications, 2018

An Empirical Study to Determine the Optimal k in Ek-NNclus Method.
Proceedings of the Belief Functions: Theory and Applications, 2018

Evidential Independence Maximization on Twitter Network.
Proceedings of the Belief Functions: Theory and Applications, 2018

2017
Two evidential data based models for influence maximization in Twitter.
Knowl. Based Syst., 2017

Conflict management in information fusion with belief functions.
CoRR, 2017

Belief Measure of Expertise for Experts Detection in Question Answering Communities: case study Stack Overflow.
Proceedings of the Knowledge-Based and Intelligent Information & Engineering Systems: Proceedings of the 21st International Conference KES-2017, 2017

Evidence combination for a large number of sources.
Proceedings of the 20th International Conference on Information Fusion, 2017

Preference fusion and Condorcet's paradox under uncertainty.
Proceedings of the 20th International Conference on Information Fusion, 2017

An automatic water detection approach based on Dempster-Shafer theory for multi-spectral images.
Proceedings of the 20th International Conference on Information Fusion, 2017

The advantage of evidential attributes in social networks.
Proceedings of the 20th International Conference on Information Fusion, 2017

Une mesure d'expertise pour le crowdsourcing.
Proceedings of the 17ème Journées Francophones Extraction et Gestion des Connaissances, 2017

A Reliability-Based Approach for Influence Maximization Using the Evidence Theory.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

Belief Temporal Analysis of Expert Users: Case Study Stack Overflow.
Proceedings of the Big Data Analytics and Knowledge Discovery, 2017

2016
Introduction.
Rev. d'Intelligence Artif., 2016

ECMdd: Evidential c-medoids clustering with multiple prototypes.
Pattern Recognit., 2016

Adaptive imputation of missing values for incomplete pattern classification.
Pattern Recognit., 2016

The Belief Noisy-OR Model Applied to Network Reliability Analysis.
Int. J. Uncertain. Fuzziness Knowl. Based Syst., 2016

Multidisciplinary Project Based Learning Within a Collaborative Framework: A Case Study on Urban Drone Conception.
Int. J. Emerg. Technol. Learn., 2016

Maximizing positive opinion influence using an evidential approach.
CoRR, 2016

Evidential Label Propagation Algorithm for Graphs.
Proceedings of the 19th International Conference on Information Fusion, 2016

Semi-supervised Evidential Label Propagation Algorithm for Graph Data.
Proceedings of the Belief Functions: Theory and Applications, 2016

Characterization of Experts in Crowdsourcing Platforms.
Proceedings of the Belief Functions: Theory and Applications, 2016

2015
Median evidential c-means algorithm and its application to community detection.
Knowl. Based Syst., 2015

Combining partially independent belief functions.
Decis. Support Syst., 2015

A similarity-based community detection method with multiple prototype representation.
CoRR, 2015

Int{é}gration d'une mesure d'ind{é}pendance pour la fusion d'informations.
CoRR, 2015

Belief Hidden Markov Model for speech recognition.
CoRR, 2015

Consid{é}rant la d{é}pendance dans la th{é}orie des fonctions de croyance.
CoRR, 2015

Evidential relational clustering using medoids.
Proceedings of the 18th International Conference on Information Fusion, 2015

Classification of incomplete patterns based on the fusion of belief functions.
Proceedings of the 18th International Conference on Information Fusion, 2015

Dynamic Time Warping Distance for Message Propagation Classification in Twitter.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2015

2014
Evidential-EM Algorithm Applied to Progressively Censored Observations.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Evidential Communities for Complex Networks.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Classification of Message Spreading in a Heterogeneous Social Network.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Uncertainty in Ontology Matching: A Decision Rule-Based Approach.
Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2014

Trolls Identification within an Uncertain Framework.
Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

Considérant la dépendance dans la théorie des fonctions de croyance.
Proceedings of the Fouille de Données Complexes, 2014, 2014

Second-Order Belief Hidden Markov Models.
Proceedings of the Belief Functions: Theory and Applications, 2014

Belief Hierarchical Clustering.
Proceedings of the Belief Functions: Theory and Applications, 2014

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

Belief Approach for Social Networks.
Proceedings of the Belief Functions: Theory and Applications, 2014

A Distance-Based Decision in the Credal Level.
Proceedings of the Artificial Intelligence and Symbolic Computation, 2014

2013
Étude statistique du fouillis de mer à partir de lois alpha-stables.
Traitement du Signal, 2013

Features modeling with an α-stable distribution: Application to pattern recognition based on continuous belief functions.
Inf. Fusion, 2013

Inclusion within continuous belief functions.
Proceedings of the 16th International Conference on Information Fusion, 2013

2012
Editorial.
Int. J. Approx. Reason., 2012

A Distance between Continuous Belief Functions.
Proceedings of the Scalable Uncertainty Management - 6th International Conference, 2012

Positive and Negative Dependence for Evidential Database Enrichment.
Proceedings of the Advances in Computational Intelligence, 2012

Gestion et évolution de profils Multicritères de décideur par apprentissage pour l'aide à la Décision .
Proceedings of the Actes du XXXème Congrès INFORSID, Montpellier, France, 29 - 31 mai 2012, 2012

Characterization of em sea clutter with α-stable distribution.
Proceedings of the 2012 IEEE International Geoscience and Remote Sensing Symposium, 2012

Comparative study of contradiction measures in the theory of belief functions.
Proceedings of the 15th International Conference on Information Fusion, 2012

Combinaison de classification supervisée, non-supervisée par la théorie des fonctions de croyance.
Proceedings of the Extraction et gestion des connaissances (EGC'2012), Actes, janvier 31, 2012

About Conflict in the Theory of Belief Functions.
Proceedings of the Belief Functions: Theory and Applications, 2012

Combination of Supervised and Unsupervised Classification Using the Theory of Belief Functions.
Proceedings of the Belief Functions: Theory and Applications, 2012

A Comparison between a Bayesian Approach and a Method Based on Continuous Belief Functions for Pattern Recognition.
Proceedings of the Belief Functions: Theory and Applications, 2012

About Sources Dependence in the Theory of Belief Functions.
Proceedings of the Belief Functions: Theory and Applications, 2012

2011
Recalage et fusion d'images sonar multivues : critère de dissimilarité et ignorance.
Proceedings of the Fouille de données complexes. Complexité liée aux données multiples, 2011

Estimation de la fiabilité des sources des bases de données évidentielles.
Proceedings of the Fouille de données complexes. Complexité liée aux données multiples, 2011

Contradiction measures and specificity degrees of basic belief assignments.
Proceedings of the 14th International Conference on Information Fusion, 2011

Mesure de concordance pour les bases de données évidentielles.
Proceedings of the Extraction et gestion des connaissances (EGC'2011), 2011

Continuous Belief Functions to Qualify Sensors Performances.
Proceedings of the Symbolic and Quantitative Approaches to Reasoning with Uncertainty, 2011

2010
Belief functions induced by multimodal probability density functions, an application to the search and rescue problem.
RAIRO Oper. Res., 2010

Support vector regression of membership functions and belief functions - Application for pattern recognition.
Inf. Fusion, 2010

Continuous belief functions and α-stable distributions.
Proceedings of the 13th Conference on Information Fusion, 2010

Models of belief functions - Impacts for patterns recognitions.
Proceedings of the 13th Conference on Information Fusion, 2010

Le conflit dans la théorie des fonctions de croyance.
Proceedings of the Extraction et gestion des connaissances (EGC'2010), 2010

2009
Comments on "A new combination of evidence based on compromise" by K. Yamada.
Fuzzy Sets Syst., 2009

General combination rules for qualitative and quantitative beliefs
CoRR, 2009

Sonar image registration based on conflict from the theory of belief functions.
Proceedings of the 12th International Conference on Information Fusion, 2009

Reliability and combination rule in the theory of belief functions.
Proceedings of the 12th International Conference on Information Fusion, 2009

Multi-view fusion based on belief functions for seabed recognition.
Proceedings of the 12th International Conference on Information Fusion, 2009

Theory of belief functions for information combination and update in search and rescue operations.
Proceedings of the 12th International Conference on Information Fusion, 2009

2008
General Combination Rules for Qualitative and Quantitative Beliefs.
J. Adv. Inf. Fusion, 2008

Implementing general belief function framework with a practical codification for low complexity
CoRR, 2008

Belief decision support and reject for textured images characterization
CoRR, 2008

Generalized proportional conflict redistribution rule applied to Sonar imagery and Radar targets classification
CoRR, 2008

Experts Fusion and Multilayer Perceptron Based on Belief Learning for Sonar Image Classification
CoRR, 2008

Une nouvelle règle de combinaison répartissant le conflit - Applications en imagerie Sonar et classification de cibles Radar
CoRR, 2008

Human expert fusion for image classification
CoRR, 2008

A new generalization of the proportional conflict redistribution rule stable in terms of decision
CoRR, 2008

Fusion for Evaluation of Image Classification in Uncertain Environments
CoRR, 2008

Discrete labels and rich foci in theory of evidence.
Proceedings of the 11th International Conference on Information Fusion, 2008

Decision support with belief functions theory for seabed characterization.
Proceedings of the 11th International Conference on Information Fusion, 2008

Conflict measure for the discounting operation on belief functions.
Proceedings of the 11th International Conference on Information Fusion, 2008

Classifier fusion for post-classification of textured images.
Proceedings of the 11th International Conference on Information Fusion, 2008

2007
Bistatic Radar Imaging of the Marine Environment - Part II: Simulation and Results Analysis.
IEEE Trans. Geosci. Remote. Sens., 2007

Bistatic Radar Imaging of the Marine Environment - Part I: Theoretical Background.
IEEE Trans. Geosci. Remote. Sens., 2007

Obtaining a ship's speed and direction from its Kelvin wake spectrum using stochastic matched filtering.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2007

Toward a combination rule to deal with partial conflict and specificity in belief functions theory.
Proceedings of the 10th International Conference on Information Fusion, 2007

Régression floue et crédibiliste par SVM pour la classification des images sonar.
Proceedings of the Extraction et gestion des connaissances (EGC'2007), 2007

2006
Robust speech/non-speech detection based on LDA-derived parameter and voicing parameter for speech recognition in noisy environments.
Speech Commun., 2006

Evaluation for uncertain image classification and segmentation.
Pattern Recognit., 2006

Understanding the large family of Dempster-Shafer theory's fusion operators - a decision-based measure.
Proceedings of the 9th International Conference on Information Fusion, 2006

Fusion for Evaluation of Image Classication in Uncertain Environments.
Proceedings of the 9th International Conference on Information Fusion, 2006

2005
Fusion de classifieurs pour la classification d'images sonar.
Proceedings of the Extraction des connaissances : Etat et perspectives (Ateliers de la conférence EGC'2005), 2005

2004
Détection par SVM - Application à la détection de churn en téléphonie mobile prépayée.
Proceedings of the Extraction et gestion des connaissances (EGC'2004), 2004

2003
Towards improving speech detection robustness for speech recognition in adverse conditions.
Speech Commun., 2003

Voicing parameter and energy based speech/non-speech detection for speech recognition in adverse conditions.
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003

2001
Robust speech/non-speech detection using LDA applied to MFCC for continuous speech recognition.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

Robust speech/non-speech detection using LDA applied to MFCC.
Proceedings of the IEEE International Conference on Acoustics, 2001

2000
High order statistics for robust speech/non-speech detection.
Proceedings of the 10th European Signal Processing Conference, 2000


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