Ndeye Niang
- CEDRIC. Méthodes statistiques de data-mining et apprentissage (CEDRIC - MSDMA)
Publications
Publications
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Une approche divisive et interprétable de réduction de dimension pour la prédiction de la RULJDS2025: 56ièmes Journées de Statistique de la SFDS, SFDS, Jun 2025, Marseille, France |
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A Divisive Unsupervised Feature Selection Approach for Explainable Remaining Useful Life PredictionDatabase and Expert Systems Applications. DEXA 2025, Aug 2025, Bangkok, Thailand. pp.270-286, ⟨10.1007/978-3-032-02088-8_19⟩ |
Enhancing Fuzzy Forests with Consensus Clustering for Unbiased and Robust Feature SelectionJOCLAD 2025, CLAD, Apr 2025, Porto, Portugal. pp.85-86 |
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Joint dimensionality reduction and clustering with missing dataAdvanced Machine Learning and Data Science, Jul 2025, TOKYO, Japan |
Sparse weighted multi-view clustering9th conference of Data Science, Statistics, and Visualisation (DSSV 2025), Jul 2025, Kruger National Park, South Africa |
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Multiblock Analysis of Distributional DataSymbolic Data Analysis Workshop 2025, Jun 2025, Varaždin, Croatia |
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Multiblock Analysis of Distributional Data9th conference of Data Science, Statistics, and Visualisation (DSSV 2025), Jul 2025, Kruger National Park, South Africa |
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Étude de variabilité par bootstrap résiduel pour une méthode de subspace clustering30emes Rencontres de la Société Francophone de Classification, Jun 2025, Dijon, France |
When standard calibration metrics fail in evaluating classifier calibration: A simulation studyClaDAG 2025, Sep 2025, Naples, Italy |
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Assessing the capability of supervised classifiers to recover the true underlying probabilitiesInternational conference on Advanced Machine Learning and Data Science, Jul 2025, Tokyo, Japan |
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Weighted Consensus Clustering for Unbiased Feature Importance in Random Forests18th conference of the International Federation of Classification Societies, Jul 2024, San José, Costa Rica |
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Effet de la complexité du réseau LSTM sur l'explicabilité en Maintenance PrédictiveJdS 2024: 55ièmes Journées de Statistique, SFDS, May 2024, Bordeaux, France |
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Enhancing Explainability in Predictive Maintenance : Investigating the Impact of Data Preprocessing Techniques on XAI EffectivenessThe 37th International Conference of the Florida Artificial Intelligence Research Society, May 2024, Florida, United States. ⟨10.32473/flairs.37.1.135526⟩ |
Classification de données incomplètes par imputation multiple29èmes Rencontres de la Société Francophone de Classification, Société Francophone de Classification, Sep 2024, Marseille (CIRM, Centre International de Rencontres Mathématiques), France |
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Subspace clustering sur données incomplètes55èmes Journées de Statistique, SFDS, May 2024, Bordeaux, France |
Clustering variables: a survey and some new developmentsSensometrics 2024, The Sensometric Society, Jun 2024, Paris, France |
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Predictive Modeling of Autonomous Vehicle Behavior With Imbalanced & Mixed Data2024 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), Sep 2024, Split, France. pp.1-6, ⟨10.23919/SoftCOM62040.2024.10721852⟩ |
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Sensibilité des indices de qualité d'un classifieur probabiliste55ièmes Journées de Statistique, SFDS, May 2024, Bordeaux, France |
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Quality Measures for Clusterwise Regression18th conference of the International Federation of Classification Societies, Jul 2024, San José, Costa Rica |
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Subspace clustering sur données incomplètes par imputation multiple29èmes Rencontres de la Société Francophone de Classification, Société Francophone de Classification, Sep 2024, Marseille (CIRM, Centre International de Rencontres Mathématiques), France |
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Unsupervised learning for multiview dataXXXI Conference on Classification and Data Analysis (JOCLAD 2024), Apr 2024, Leiria, Portugal |
Multiple imputation for clustering on incomplete dataClaDAG 2023, Sep 2023, Salerno (Italy), Italy |
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Une comparaison de quelques méthodes de classification de variables mixtesSFC'2023; Rencontres de la Société Francophone de Classification, Jul 2023, Strasbourg, France. pp.115-116 |
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A comparison of some methods for clustering of variables of mixed typesXXX Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2023), CLAD, Apr 2023, Viana Do Castelo, Portugal. pp.85-86 |
Sparse non-symmetrical correspondence analysisCARME - Correspondence Analysis and Related Methods, Universität Bonn, Sep 2023, Bonn, Germany |
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Handling missing data in clustering using multiple imputation16th International Conference of the ERCIM WG on Computational and Methodological Statistics, Dec 2023, Berlin (Germany), Germany |
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Une revue systématique de la littérature autour du biais, de l'équité et de l'explicabilitéCNIA 2023 - Conférence Nationale en Intelligence Artificielle, AFIA- Association française pour l'Intelligence Artificielle, Jul 2023, Strasbourg, France. pp.87-98 |
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Consensus de partitions en NLP pour une revue systématique de la littérature autour de l'XAI du biais et de l'équitéSFC'2023; Rencontres de la Société Francophone de Classification, Société Francophone de Classification, Jul 2023, Strasbourg, France. pp.43-48 |
Clustering with missing data: which imputation model for which cluster analysis method?17th conference of the International Federation of Classification Societies, Jul 2022, Porto, Portugal |
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Sparse Divisive Feature ClusteringXXVIII Meeting of the Portuguese Association for Classification and Data Analysis (JOCLAD 2021), CLAD, Dec 2021, Covilhã, Portugal. pp.75-76 |
SOM-based clusterwise regressionData Science, Statistics and Visualisation, Jul 2021, Rotterdam, Netherlands |
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Sparse Subspace K-means3rd IEEE ICDM Workshop on Deep Learning and Clustering. In conjunction with IEEE ICDM 2021 December 7-10, 2021., Dec 2021, Auckland, New Zealand. pp.678-685, ⟨10.1109/ICDMW53433.2021.00089⟩ |
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Unbiased Feature selection in Random Forests using Consensus Feature ClusteringData Science, Statistics & Visualisation(DSSV) and European Conference on Data Analysis (ECDA), Jul 2021, Rotterdam, Netherlands |
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Clustering sur données incomplètes : quel modèle d’imputation choisir ?EPICLIN 2021 – 15e Conférence francophone d’épidémiologie clinique – 28e Journées des statisticiens des centres de lutte contre le cancer, Aix-Marseille Université; Institut Paoli-Calmettes de Marseille, Jun 2021, Marseille, France. pp.S21-S22, ⟨10.1016/j.respe.2021.04.035⟩ |
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Combined-information criterion for clusterwise elastic-net regression. Application to omic data8th Channel Network Conference, Cnam, Apr 2021, Paris, France |
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Cluster analysis after multiple imputationASMDA 2021, Jun 2021, Athènes, Greece |
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Sparse Correspondence AnalysisASMDA 2019. 18th Conference of the Applied Stochastic Models and Data Analysis International Society, Jun 2019, Florence, Italy |
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Sparse Methods for Unsupervised Data AnalysisThe 4th International Symposium on Interval Data Modelling (SIDM 2019), Jun 2019, Pékin, China |
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Weighted consensus clustering for multiblock dataSFC 2019, Sep 2019, Paris, France |
Current multiblock methods: competition or complementarity? A comparative study in a unified frameworkAgrostat 2018, Mar 2018, Marseille, France |
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Clusterwise multiblock PLSSFC 2018, Sep 2018, Paris, France |
Importance of factors contributing to work-related stress: comparison of four metricsASMDA 2017, Jun 2017, London, United Kingdom |
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Clusterwise Sparse PLSPLS'17, Jun 2017, Macao, Macau SAR China |
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Prédiction en régression clusterwise PLS48 èmes Journées de Statistique, May 2016, Montpellier, France |
Regularized clusterwise multiblock regressionCompstat 2016, Aug 2016, Oviedo, Spain |
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Some Sparse Methods for High Dimensional DataH2DM International Workshop on High Dimensional Data Mining, Jun 2016, Naples, Italy |
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Determination of phytoplankton groups from space: application to senegalo-mauritanean upwellingEGU General Assembly, 2016, Vienne, Austria. pp.15098 |
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Les méthodes « clusterwise » : principes et applicationsXXII èmes rencontres de la Société Francophone de Classification, Sep 2015, Nantes, France |
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Clusterwise multiblock PLSCARME 2015: Correspondence Analysis and Related Methods, Sep 2015, Napoli, Italy |
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Clusterwise multiblock PLS regressionCFE-CMStats, Dec 2015, London, United Kingdom |
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Imputation multiple avec SOMSoci?t? Francophone de Classification, Sep 2014, Rabat, Maroc. pp.6 |
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Une approche basée sur STATIS pour la fusion de cartes topologiques auto-organisées14?mes Journ?es Francophones "Extraction et Gestion des Connaissances" EGC 2014, Jan 2014, Rennes, France |
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Régression typologique pour données multi-blocs46 émes journées de statistique, Jun 2014, Rennes, France |
H2S-SOM : Une méthode de soft-subspace clustering basée sur SOM pour la sélection de variables en classificationAfrican Conference on Research in Computer Science and Applied Mathematics (CARI), Oct 2014, Saint Louis, Sénégal. pp.13 |
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STATIS BASED MULTIBLOCK CLUSTERINGInternational Federation of Classification Societies Conference IFCS 2013, Jul 2013, Tilburg, Netherlands |
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Soft Subpace clustering pour données multiblocs basée sur les cartes topologiques auto-organisées SOM : 2S-SOMSFDS 2013, May 2013, Toulouse, France |
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Contrôle non paramétrique de procédés par lots basé sur STATIS et la classificationAgrostat2012, 12èmes journées Européennes Agro-Industrie et Méthodes Statistiques, Mar 2012, Paris, France. pp.163-169 |
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Weighted Hierarchical Mixed Topological Map: une méthode de classification hiérarchique à deux niveauxExtraction et Fouille des données Complexe, Jan 2012, bordeaux, France. pp.10 |
Classification multi blocs pondérée basée sur les cartes topologiques auto-organisées (ConSOM)XIX conf?rence de la Soci?t? Fran?aise de classification SFC : 2012, Oct 2012, Marseille, France |
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Hierarchical-MTM (HMTM): Classification d'individus décrits par des variables mixtes structurées en blocsJDS'2011, 43e Journ?es de Statistique, May 2011, tunis, Tunisie |
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Batch Process Monitoring by Three-way Data Analysis ApproachASMDA'09 XIII International Conference on Applied Stochastic Models and Data Analysis, Jul 2009, Vilnius, Lithuania. pp.294-298 |
Multivariate statistical control of batch processes with variable durationIEEE International Conference on Industrial Engineering and Engineering Management (IEEM09), Dec 2009, X, France. pp.434-438 |
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Contrôle multivarié de procédés par lots à l'aide de Statis41èmes Journées de Statistique, SFdS, Bordeaux, 2009, Bordeaux, France, France |
Multivariate statistical control of batch processes with varying durationCongr?s SFDS-SSC, Ottawa, Canada May 2008, Jan 2008, X, France |
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Three-way Strategies for Monitoring Batch ProcessesCOMPSTAT'08, Porto, Portugal, 2008, Jan 2008, X, France |
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Controle multivariado de processos em batelada com duração variável.ENEGEP'07, Foz do Iguassu. Anais do XXVII ENEGEP. Rio de Janeiro, RS : ABEPRO, Jan 2007, X, France. pp.1-8 |
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Resampling ROC curvesIASC'07 International Association for Statistical Computing,, Aug 2007, Aveiro, Portugal |
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Model assessmentKNEMO'06 Knowledge Extraction and Modeling, Jan 2006, Capri, Italy |
Classification préalable à la recherche de règles d'associationRIAS'06 Rencontres Inter-Associations sur le thème de la classification, Mar 2006, Lyon, France. pp.1 |
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Une comparaison de certains indices de pertinence des règles d'associationEGC 06 Extraction et Gestion des Connaissances, Jan 2006, Lille, France. pp.561-568 |
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Méthodes de classification pour l'extraction de règlesSFC'06. Rencontres de la Société Francophone de Classification, Jan 2006, Metz, France. pp.4 |
Combined use of association rules mining and clustering methods3rd world Conf. on Computational Statistics Data Analysis, Oct 2005, Limassol, Cyprus |
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Utilisation conjointe des règles d'association et de la classification de variables37 èmes Journées de Statistique, May 2005, Pau, France |
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A New Hierarchical Clustering Method using Topological Map10th International Symposium on Applied Stochastique Models and Data Analysis (AMSDA2001), 2001, Compiègne, France |
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Sensibilité des indices de qualité d'un classifieur probabilisteExtraction et la Gestion des Connaissances 2024, Jan 2024, Dijon, France. Revue des Nouvelles Technologies de l'Information, Extraction et Gestion des Connaissances, RNTI-E-40, pp.339-340, 2024 |
Multiblock consensus clusteringChimiométrie XIX, Jan 2018, Paris, France |
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CLUSTERING INDIVIDUALS DESCRIBED BY MULTI BLOCK VARIABLESSADA'13 Statistique Appliqu?e pour le D?veloppement en Afrique, Mar 2013, Cotonou, Benin. 2013 |
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Classification multi blocs basée sur les cartes topologiquesEGC 2013, Jan 2013, Toulouse, France. 2013 |
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Weighted Hierarchical Mixed Topological Map: une méthode de classification hiérarchique à deux niveauxEGC '2012, Jan 2012, Bordeaux, France. 2012 |
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Principal Component Analysis: application to Statistical Process ControlGérard Govaert. Data Analysis, ISTE, pp.1-23, 2009, 1-84821-098-1. ⟨10.1002/9780470611777.ch1⟩ |
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Correspondence analysis and classificationMichael Greenacre; Jörg Blasius. Multiple Correspondence Analysis and Related Methods, Chapman and Hall/CRC, pp.371-392, 2006, 9781584886280 |
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Analyse en composantes principalesGérard Govaert. Analyse des données, Hermes, pp.19-42, 2003, 978-2-7462-0643-4 |
Multidimensional methods for statistical process controlMultidimensional methods for statistical process control, 2002 |
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Incremental Singular Value Decomposition for Streaming and Scalable Network Embedding2025 |
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Clustering with missing data: which imputation model for which cluster analysis method?2021 |
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Clustering with missing data: which equivalent for Rubin's rules?2020 |
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Sparse Correspondence Analysis for Contingency Tables2020 |