Laure Berti-Equille
- Institut de Recherche pour le Développement (IRD)
- UMR 228 Espace-Dev, Espace pour le développement
Présentation
Laure Berti-Equille is a Research Director (DR1) at IRD, the French Research Institute for Sustainable Development. Before, she was a Full Professor in Computer Science at Aix-Marseille University (France), a senior scientist at Qatar Computing Research Institute (Qatar), an associate professor at University of Rennes 1 (France), and a 2-year visiting researcher at AT&T Labs Research in New Jersey (USA), as a recipient of the prestigious European Marie Curie Outgoing Fellowship. In 2022, she was a visiting scientist at Massachusetts Institute of Technology LIDS (Laboratory for Information & Decision Systems). Her current research interests are on the inter-play of data management, data analytics, and machine learning with a focus on anomaly detection, data cleaning and preparation, and multimodal data fusion and learning with main applications in medical and environmental domains in-line with SGDs. She is co-leading the international joint lab IDEAL with the Federal Univ. of Paraíba (Brazil) dedicated to AI for Agroecology. She has more than 180 publications in major conferences or journals along with 3 books, 10 chapters, and 13 co-edited proceedings. She has co-organized numerous workshops on data quality in conjunction with top conferences such as SIGMOD, VLDB and AAAI (2025). She has given many tutorials and keynote talks on data analytics and engineering for applied machine learning (KDD'22 & '21, ICDE'18 & '16, CIKM'15, KDD'09, ICDM'09). She served in numerous program committees of international conferences and was an Associate Editor of the VLDB Journal and the ACM Information and Data Quality Journal. She has been leading projects funded by the French National Agency of Research (ANR), the French National Research Council (CNRS), Belmont Forum, and the European Union. She is a IEEE and ACM senior member.
Domaines de recherche
Publications
Publications
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EM-SEC: Efficient Multi-head Set-valued Evidential ClassificationEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases - ECML PKDD, Sep 2025, Porto, Portugal. ⟨10.1007/978-3-032-05981-9_16⟩ |
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LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal DataSIGIR '25: The 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, Jul 2025, Padua, Italy. pp.3782-3791, ⟨10.1145/3726302.3730302⟩ |
Comparer le paradigme spatial au spatio-temporel pour estimer l’évolution d’indicateurs socio-économiques à partir d’images satellitesCNIA 2024 - 8e Conférence Nationale en Intelligence Artificielle, Plate-Forme Intelligence Artificielle, Jul 2024, La Rochelle, France |
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MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning2024 IEEE International Conference on Big Data (BigData), Dec 2024, Washington, United States. pp.3254-3257, ⟨10.1109/BigData62323.2024.10825593⟩ |
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Predicting Socio-economic Indicator Variations with Satellite Image Time Series and TransformerMVEO 2024 - Workshop on Machine Vision for Earth Observation and Environment Monitoring, Nov 2024, Glasgow, United Kingdom |
Faithful vision-language interpretation via concept bottleneck modelsInternational Conference on Learning Representations, May 2024, Vienne, Austria. 24 p. multigr |
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Discovering Transition Pathways Towards Coviability with Machine Learning1st AAAI 2022 Fall Symposium series on the Role of AI in Responding to Climate Challenges, Nov 2022, Arlington, United States |
In situ augmentation for defending against adversarial attacks on text classifiersICONIP : International Conference on Neural Information Processing, Nov 2022, [En ligne], France. pp.485-496, ⟨10.1007/978-3-031-30111-7_41⟩ |
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M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal Data2023 IEEE International Conference on Big Data (BigData), Dec 2023, Sorrento, Italy. pp.1052-1058, ⟨10.1109/BigData59044.2023.10386252⟩ |
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Making the End-User a Priority in Benchmarking: OrionBench for Unsupervised Time Series Anomaly DetectionProc. of the 2024 IEEE International Conference on BigData 2024, IEEE, Dec 2024, Washington DC, United States |
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Comparing spatial and spatio-temporal paradigms to estimate the evolution of socio-economical indicators from satellite imagesIGARSS 2023 - IEEE International Geoscience and Remote Sensing Symposium, Sidharth Misra; Shannon Brown, Jul 2023, Pasadena, CA, United States. pp.5790-5793, ⟨10.1109/IGARSS52108.2023.10282306⟩ |
Stochastic Pairing for Contrastive Anomaly Detection on Time SeriesPattern Recognition and Artificial Intelligence. ICPRAI 2022, Jun 2022, Paris, France. pp.306-317, ⟨10.1007/978-3-031-09282-4_26⟩ |
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Provenance-aware Discovery of Functional Dependencies on Integrated ViewsICDE 2022 - 38th IEEE International Conference on Data Engineering, May 2022, Kuala Lumpur, Malaysia. pp.1-15 |
R and R : metric-guided adversarial sentence generationThe Asia-Pacific Chapter of the Association for Computational Linguistics-International Joint Conference on Natural Language Processing : AACL-IJCNLP 2022, Nov 2022, [en ligne], France. pp.438-452, ⟨10.48550/arXiv.2104.08453⟩ |
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AER: Auto-Encoder with Regression for Time Series Anomaly Detection2022 IEEE International Conference on Big Data, Dec 2022, Osaka, Japan. pp.1152-1161, ⟨10.1109/BigData55660.2022.10020857⟩ |
Stochastic pairing for contrastive anomaly detection on time series3rd International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2022), Jun 2022, Paris, France. pp.306-317, ⟨10.1007/978-3-031-09282-4_26⟩ |
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Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI SystemsKDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Aug 2022, Washington DC, United States. pp.4814-4815, ⟨10.1145/3534678.3542604⟩ |
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Sintel: A Machine Learning Framework to Extract Insights from SignalsSIGMOD/PODS '22: International Conference on Management of Data, Jun 2022, Philadelphia (Pennsylvania), United States. pp.1855-1865, ⟨10.1145/3514221.3517910⟩ |
QeNoBi : a system for QuErying and miNing BehavIoral patterns [demonstration paper]International Conference on Data Engineering (ICDE), IEEE, Apr 2021, Chania Crete, Greece. pp.2673-2676 |
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Balancing familiarity and curiosity in data exploration with deep reinforcement learningaiDM '21: Proceedings of the Fourth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, ACM, Jun 2021, Xi'an, Shaanxi / Virtual Event China, China. pp.16-23 |
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Challenges in KDD and ML for sustainable developmentKDD '21: Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, ACM, Aug 2021, Singapore, Singapore. pp.4031-4032, ⟨10.1145/3447548.3470798⟩ |
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QeNoBi: A System for QuErying and miNing BehavIoral Patterns Authors' Copy2021 IEEE 37th International Conference on Data Engineering (ICDE), Apr 2021, Chania, France. pp.2673-2676, ⟨10.1109/ICDE51399.2021.00301⟩ |
Reconstruction of Long-Term Historical Demand DataTackling Climate Change with Machine Learning Workshop, ICML 2021, Jul 2021, Virtual, United States. ⟨10.48550/arXiv.2209.04693⟩ |
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Assessment of CNN-based Methods for Poverty Estimation from Satellite ImagesPRRS 2021 - 11th IAPR International Workshop on Pattern Recognition in Remote Sensing, Jan 2021, Milan, Italy. pp.550-565, ⟨10.1007/978-3-030-68787-8_40⟩ |
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Amélioration du pronostic par apprentissage profond pour des applications de maintenance prédictiveEGC 2021, Jan 2021, Montpellier, France |
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A framework for statistically-sound customer segment searchThe 8th IEEE International Conference on Data Science and Advanced Analytics, Oct 2021, Porto (virtual), Portugal. ⟨10.1109/DSAA53316.2021.9564199⟩ |
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Dora the explorer: Exploring Very Large Data with Interactive Deep Reinforcement Learning Authors' Copy30th ACM International Conference on Information and Knowledge Management, Nov 2021, Queensland (on line), Australia |
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Explaining Automated Data Cleaning with CLeanEXIJCAI-PRICAI 2020 Workshop on Explainable Artificial Intelligence (XAI), Jan 2021, Online, Japan |
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Balancing Familiarity and Curiosity in Data Exploration with Deep Reinforcement LearningSIGMOD/PODS '21: International Conference on Management of Data Fourth International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), Jun 2021, Virtual Event China, France. pp.16-23, ⟨10.1145/3464509.3464884⟩ |
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Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-LoopConference on Innovative Data Systems Research (CIDR 2020), Jan 2020, Amsterdam (NETHERLANDS), Netherlands |
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Data Quality Checking for Machine Learning with MeSQuaLAdvances in Database Technology - EDBT 2020, 23rd International Conference on Extending Database Technology,, Mar 2020, Copenhagen, Denmark |
ML-Based Knowledge Graph Curation: Current Solutions and ChallengesCompanion The 2019 World Wide Web Conference, May 2019, San Francisco, United States. pp.938-939 |
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Learn2Clean: Optimizing the Sequence of Tasks for Web Data PreparationThe Web Conf 2019, ACM, May 2019, San Francisco, United States. ⟨10.1145/3308558.3313602⟩ |
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Reinforcement Learning for Data Preparation with Active Reward LearningInternational Conference on Internet Science INSCI 2019: Internet Science, Dec 2019, Perpignan, France. pp.121-132, ⟨10.1007/978-3-030-34770-3_10⟩ |
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Discovery of Genuine Functional Dependencies from Relational Data with Missing Values [Abstract for INFORSID 2019]INFORSID 2019, Jun 2019, Paris, France |
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Reinforcement Learning for Data Cleaning and Data PreparationHILDA workshop in conjunction with SIGMOD 2019, Jul 2018, Amsterdam (Hollande), Netherlands |
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Machine Learning to Data Management: A Round TripProceedings of the 34th IEEE International Conference on Data Engineering (ICDE), Apr 2018, Paris, France. pp.1735-1738, ⟨10.1109/ICDE.2018.00226⟩ |
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Discovery of Genuine Functional Dependencies from Relational Data with Missing ValuesThe 44th International Conference on Very Large Data Bases (VLDB), Aug 2018, Rio de Janeiro, Brazil. ⟨10.14778/3204028.3204032⟩ |
On the Role of Political Affiliation in Human Perception The Case of Delhi OddEven ExperimentInternational Conference on Social Informatics (SocInfo), Sep 2017, Oxford, United Kingdom |
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Profiling DRDoS Attacks with Data Analytics Pipelinethe 2017 ACM, Nov 2017, Singapore, Singapore. ⟨10.1145/3132847.3133155⟩ |
Evaluation of Heavy Metals, Pesticides and Emergent pollutants content in the Tula river MexicoProceedings of the the 10th European Symposium for Freshwater Sciences (SEFS10), Jul 2017, Olomouc, Czech Republic |
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UGuide – User-Guided Discovery of FD-Detectable Errorsthe 2017 ACM International Conference on Management of Data (SIGMOD), May 2017, Chicago, United States. ⟨10.1145/3035918.3064024⟩ |
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Sur l'évaluation et l'élaboration d'un jeu de données de référence de bonne qualité en télédétectionExtraction et Gestion des Connaissances EGC, Grenoble, France, janvier 2017, Jan 2017, Grenoble, France. pp.393-398 |
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Sur l’évaluation et l’élaboration d’un jeu de données de référence de bonne qualité en télédétectionActes des 17ème Journées Francophones Extraction et Gestion des Connaissances (EGC 2017), Jan 2017, Grenoble, France. pp.393-398 |
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Principled Data Preprocessing: Application to Biological Aquatic Indicators of Water Pollution2017 28th International Workshop on Database and Expert Systems Applications (DEXA), Aug 2017, Lyon, France. ⟨10.1109/DEXA.2017.27⟩ |
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On the Use of Ontology as a priori Knowledge into Constrained ClusteringIEEE International Conference on Data Science and Advanced Analytics (DSAA), Oct 2016, Montreal, Canada |
Collaborative segmentation and classification for remote sensing image analysis2016 23rd International Conference on Pattern Recognition (ICPR), Dec 2016, Cancun, France. ⟨10.1109/ICPR.2016.7899738⟩ |
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Metabolomic Data Profiling for Diabetes Research in Qatar2016 27th International Workshop on Database and Expert Systems Applications (DEXA), Sep 2016, Porto, France. ⟨10.1109/DEXA.2016.023⟩ |
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Approche hybride à base d'ontologie pour le clustering par contraintesLa conférence internationale francophone AAFD & SFC 2016, May 2016, Marrakech, Maroc |
Un cadre collaboratif pour la segmentation et la classification d'images de télédétection.Actes des 16ème Journées Francophones Extraction et Gestion des Connaissances (EGC 2016), Jan 2016, Reims, France. pp.297-308 |
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Using Twitter to Understand Public Interest in Climate Change: The case of Qatar1st International Workshop on the Social Web for Environmental and Ecological Monitoring (SWEEM 2016), May 2016, Koln, Germany |
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Génération de contraintes pour le clustering à partir d'une ontologie - Application à la classification d'images satellitesExtraction et Gestion des Connaissances (EGC), Jan 2016, Reims, France |
VERA: A Platform for Veracity Estimation over Web DataProceedings of the 25th International Conference Companion on World Wide Web (WWW '16), Apr 2016, Montréal, Canada. ⟨10.1145/2872518.2890536⟩ |
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Scaling up truth discoveryProceedings of 2016 IEEE 32nd International Conference on Data Engineering (ICDE) , May 2016, Helsinki, Finland |
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Rheem: Enabling Multi-Platform Task ExecutionSIGMOD 2016 - International Conference on Management of Data, Jun 2016, San Francisco, United States. pp.2069-2072, ⟨10.1145/2882903.2899414⟩ |
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Towards Ontology Reasoning for Topological Cluster LabelingInternational Conference on Neural Information Processing, Oct 2016, Kyoto, Japan. pp.156 - 164, ⟨10.1007/978-3-319-46675-0_18⟩ |
Data veracity estimation with ensembling truth discovery methods2015 IEEE International Conference on Big Data (Big Data), Oct 2015, Santa Clara, United States. ⟨10.1109/BigData.2015.7364062⟩ |
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AllegatorTrack: Combining and reporting results of truth discovery from multi-source dataProceedings of the 2015 IEEE 31st International Conference on Data Engineering, Apr 2015, Seoul, South Korea |
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Towards Principled Data Science Assessment - The Personal Data Science Process (PdsP)17th International Conference on Enterprise Information Systems, Apr 2015, Barcelona, France. ⟨10.5220/0005463703740378⟩ |
Data processing for controlling data quality on surface water quality assessmentInforsid - Atelier SI et Environnement, May 2014, LYON, France |
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A Masking Index for Quantifying Hidden Glitches2013 IEEE International Conference on Data Mining (ICDM), Dec 2013, Dallas, United States. ⟨10.1109/ICDM.2013.16⟩ |
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Don't be SCAREd : use SCalable Automatic REpairing with maximal likelihood and bounded changesProceedings of the 2013 ACM SIGMOD International Conference on Management of Data (SIGMOD'13), Jun 2013, New York, United States. pp.553-564 ⟨10.1145/2463676.2463706⟩ |
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ADVISU : interactive visualization of anomalies and dependencies from massive scientific datasetsEGC 2012, 12ème Conférence Internationale Francophone sur l'Extraction et la Gestion des Connaissances, Jan 2012, Bordeaux, France |
DAQ_UWE : a framework for designing data quality aware web applicationsProceedings of the 16th International Conference on Information Quality (ICIQ’11), Nov 2011, Adelaide, Australia |
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Discovery of complex glitch patterns: A novel approach to Quantitative Data Cleaning2011 IEEE International Conference on Data Engineering (ICDE 2011), Apr 2011, Hannover, Germany. ⟨10.1109/ICDE.2011.5767864⟩ |
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SOLOMON: seeking the truth via copying detectionProceedings of the VLDB Endowment, Sep 2010, Singapore (SG), Singapore. pp.1617 - 1620, ⟨10.14778/1920841.1921054⟩ |
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Challenges of Quality-Driven Resource Discovery3rd International Workshop on REsource Discovery, Nov 2010, Paris, France. pp.181-189, ⟨10.1007/978-3-642-27392-6_13⟩ |
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Integrating conflicting data: the role of source dependenceProceedings of the VLDB Endowment, 35th conference on Very Large Databases, Aug 2009, Lyon, France. pp.550 - 561, ⟨10.14778/1687627.1687690⟩ |
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Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source DependenceProceedings of the Biennial Conference on Innovative Data Systems Research (CIDR), Jan 2009, Asilomar, United States |
Multidimensional Management and Analysis of Quality Measures for CRM Applications14th International Conference on Information Quality, 2009, Postdam, Germany |
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Multidimensional Management and Analysis of Quality Measures for CRM Applications in an Electricity CompanyProceedings of the International Conference on Information Quality (ICIQ), 2009, Potsdam, Germany |
Evaluation de la qualité des systèmes multisources : une approche par les patternsQuatrième Atelier Qualité des Données et des Connaissances, EGC 2008 : 8èmes Journées Francophones Extraction et Gestion des Connaissances, Jan 2008, Sophia Antipolis, France |
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Measuring and Constraining Data Quality with Analytic WorkflowsProceedings of the 6th International Workshop on Quality in Databases in conjunction with the International Conference on Very Large Databases (VLDB 2008), Aug 2008, Auckland, New Zealand |
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Tracing Data Pollution in Large Business ApplicationsProceedings of the 13th International Conference on Information Quality (IQ’08), , Nov 2008, Cambridge, MA, United States |
QDex: A Database Profiler for Generic Bio-data Exploration and Quality Aware IntegrationProceedings of the Intl. Workshop on Approaches and Architectures for Web Data Integration and Mining in Life Sciences (WebDIM4LS) in Web Information Systems Engineering, WISE 2007 International Workshops,, Dec 2007, Nacy, France |
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A framework for quality evaluation in data integration systemsICEIS 2007 : 9th International Conference on Enterprise Information Systems, Jun 2007, Funchal, Madeira, Portugal. pp.170-175 |
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Modèle décisionnel basé sur la qualité des données pour sélectionner les règles d'associations légitimement intéressantesActes de la conférence Extraction et Gestion des Connaissances (EGC’2006), (RNTI-E-6, volume II), Jan 2006, Villeneuve d'Ascq, France. pp.593-598 |
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Lessons Learned from Ontology Design9th International Protégé Conference, Jul 2006, Stanford, CA, United States. pp.1-4 |
Quality-Aware Association Rule MiningProceedings of Advances in Knowledge Discovery and Data Mining. PAKDD 2006, Apr 2006, Singapore, Singapore. pp.440-449 |
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Recommendation of XML Documents exploiting Quality Metadata and Views2nd Intl. Workshop on Data and Information Quality (DIQ 2005) in conjunction with the 17th Conference on Advanced Information Systems Engineering (CAiSE’05), Jun 2005, Porto, Portugal. pp.1-15 |
Enriching Multimedia Content Description for Broadcast Environments : From A Unified Metadata Model to A New Generation of Authoring ToolISM'05 - Seventh IEEE International Symposium on Multimedia, Dec 2005, Irvine, CA, United States |
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Optimizing progressive query-by-example over pre-clustered large image databasesProceedings of the 2nd international workshop on "Computer vision meets databases" (CVDB 2005) in conjunction with ACM SIGMOD/PODS Conference, Jun 2005, Baltimore, MD, United States. ⟨10.1145/1160939.1160946⟩ |
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Optimizing Progressive Query-By-Example over Pre-Clustered Large Image DatabasesBDA 2005 - Actes des Journées Bases de Données Avancées, Oct 2005, Saint Malo, France. pp.215-226, ⟨10.1145/1160939.1160946⟩ |
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Cost of Low-Quality Data over Association Rules DiscoveryAMSDA 2005 - International Symposium on Applied Stochastic Models and Data Analysis, May 2005, Brest, France. pp.1-11 |
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Integrating and Warehousing Liver Gene Expression Data and Related Biomedical Resources in GEDAWDILS 2005 - 2nd International Workshop on Data Integration in the Life Sciences, Jul 2005, San Diego, United States. pp.158-174, ⟨10.1007/11530084_14⟩ |
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Nettoyage des données XML : combien ça coûte ?1er Atelier Qualités des Données et des Connaissances (QDC 2005) en conjonction avec la conférence Extraction et Gestion des Connaissances (EGC’2005), Jan 2005, Paris, France. pp.11-18 |
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Quality-Aware Integration and Warehousing of Genomic DataICIQ’05 - 10th International Conference on Information Quality, Nov 2005, Massachusetts Institute of Technology, Cambridge, MA, United States. pp.1-15 |
Multimedia Indexing and Retrieval with Features Association Rules MiningICME 2004 - IEEE Intl. Conference on Multimedia and Expo, Jun 2004, Taipei, Taiwan. pp.1299-1302, ⟨10.1109/ICME.2004.1394464⟩ |
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Quality-Adaptive Query Processing over Distributed SourcesICIQ’04 - 9th International Conference on Information Quality, Nov 2004, Cambridge, MA, United States. pp.1-12 |
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Le projet SABRE : de l’ontologie à l’inférence15ièmes Journées Francophones d'Ingénieire des Connaissances (IC 2004), May 2004, Lyon, France |
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Visual Feature Mining for Adapting Query-by-Example over Large Image DatabasesCORIMEDIA 2004 - International workshop on multidisciplinary image, video and audio retrieval and mining, Oct 2004, Sherbrooke, Canada. pp.1-11 |
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Multi-Source Model and Architecture for Quality Negotiation and Integration of Biological DataProceedings of the 20th International Conference on Conceptual Modeling: Conceptual Modeling (ER'01), Nov 2001, Yokohama, Japan. pp.256-269 |
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Documents, données et méta-données : une approche mixte pour un système de veilleActes du Colloque Veille Stratégique, Scientifique et Technologique (VSST’01), Oct 2001, Barcelone, Espagne. pp.115-126 |
Quality and Recommendation of Multi-Source Data for Assisting Technological Intelligence Applications.Proceedings of the International Conference on Database and Expert Systems Applications. DEXA 1999. , Sep 1999, Florence, France |
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Qualité des données multi-sources et recommandation multi-critèreActes du congrès francophone INFormatique des ORganisations et Systèmes d’INformation Décisionnels (INFORSID’99), Jun 1999, Toulon, France. pp.185-204 |
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From Data Source Quality to Information Quality: the Relative DimensionProceedings of the 3rd Conference on Information Quality (ICIQ’98), Oct 1998, Cambridge, MA, United States. pp.247-264 |
Combining the Power of Query Languages and Search Engines for On-line Document and Information Retrieval : The QIRi@D EnvironmentProceedings of the International Workshop on Principles of Digital Document Processing (PODDP 1998), Mar 1998, Saint Malo, France. pp.116-127 |
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Contribution à la définition d'un vigiciel : quelle modélisation de l'information factuelle, événementielle et référentielle ?Actes du colloque français Veille Stratégique Scientifique et Technologique (VSST’98), Oct 1998, Ile Rousse, France. pp.227-240 |
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Out of Overinformation by Information Filtering and Information WeightingProceedings of the 2nd Conference on Information Quality (ICIQ’97), Oct 1997, Cambridge, MA, United States. pp.187-193 |
P089 - Création d'un système d'aide informatisée au codage CIM : choix de métrique et utilisation de la hiérarchie CIM [résumé]EPICLIN 202317e Conférence francophone d’Épidémiologie Clinique 30e Journées des statisticiens des Centres de Lutte contre le Cancer, May 2023, Nancy, France. 71 (suppl.2), p. 7, 2023, ⟨10.1016/j.respe.2023.101733⟩ |
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Checklist Strategies to Improve the Reproducibility of Deep Learning Experiments with an IllustrationRDA 19th Plenary Meeting, Part Of International Data Week, Jun 2022, Seoul, South Korea. , 2022, ⟨10.5281/zenodo.6587702⟩ |
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Reproducing Deep Learning experiments: common challenges and recommendations for improvementRDA 19th Plenary Meeting, Part Of International Data Week, Jun 2022, Seoul, South Korea. , 2022, ⟨10.5281/zenodo.6587694⟩ |
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Features Mining for Multimedia Indexing And Retrieval (Poster)Proceedings of the 5th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2004), Apr 2004, Lisbon, Portugal |
AAAI 2025 WorkshopGoodData 2025: Preparing Good Data for Generative AI: Challenges and Approaches (https://openreview.net/group?id=AAAI.org/2025/Workshop/GoodData#tab-accept), Mar 2025, Philadelphia (PA), United States. 2025 |
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LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data48th international ACM SIGIR conference on research and development in information retrieval, Jul 2025, Padua, Italy. Association for Computing Machinery, pp.3782-3791, 2025, 979-8-4007-1592-1. ⟨10.1145/3726302.3730302⟩ |
Proceedings of the 48th International conference on Very Large Data Bases48th International Conference on Very Large Databases Sydney, Australia (and hybrid) - September 05-09, 2022, Sep 2022, Sydney, Australia. Proceedings of the VLDB Endowment (PVLDB), 15 (12), 563 p., 2022 |
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2nd international workshop on data quality assessment for machine learning2nd international workshop on data quality assessment for machine learning, ACM, pp.4147-4148, 2021, 978-1-4503-8332-5. ⟨10.1145/3447548.3469468⟩ |
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IndexMEED cases studies using "Omics" data with graph theoryTDWG, 2017, Ottawa, Canada. Biodiversity Information Science and Standards, 1, pp.340-361, 2017, ⟨10.3897/tdwgproceedings.1.20740⟩ |
The 11th International Workshop on Quality in DataBases in conjunction with VLDB 2016International Quality in Databases workshop (QDB 2016) in conjunction with VLDB 2016,, Sep 2016, Delhi, India. , 2016 |
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Proceedings of The 21st International Conference on Information Quality (ICIQ 2016)The 21st International Conference on Information Quality (ICIQ 2016), Jun 2016, Cuidad Real, Spain. 2016 |
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Proceedings of the 17th International Conference on Information QualityInternational Conference on Information Quality, Nov 2012, Paris, France. 2012 |
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Actes de l'AtelierMesurer et évaluer la Qualité des Données et des Connaissances, Éditions Hermann, 200 p., 2012, 9782705682866 |
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Atelier Qualité des Données et des Connaissances, QDC 2010 en conjonction avec la conférence française Extraction et Gestion des Connaissances - EGC 2010Hammamet, Tunisie, Janvier 2010., Jan 2010, Hammamet, Tunisia. , 2010 |
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ProceedingsThe 7th International Workshop on Quality in Databases (QDB 2009) in conjunction with VLDB 2009, 2009 |
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Proceedings of the 2nd Workshop on Data and Knowledge Quality2nd Workshop on Data and Knowledge Quality (DKQ 2006), Jan 2006, Lille, France. Université de Lille, pp.56, 2006 |
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Proceedings of the 2nd ACM International Workshop on Information Quality in Information Systems (IQIS 2005)the 2nd ACM International Workshop on Information Quality in Information Systems (IQIS 2005). Workshop in conjunction with ACM SIGMOD/PODS, Jun 2005, Baltimore (MD), United States. pp.1-121, 2005 |
Proceedings of the 1st Workshop on Data and Knowledge Quality (DKQ 2005)1st Workshop on Data and Knowledge Quality (DKQ 2006), Jan 2005, Paris, France. Université Paris 5, pp.85, 2005 |
La qualité des systèmes d'information : analyse et évaluationRevue des Sciences et Technologies de l'Information - Série ISI : Ingénierie des Systèmes d'Information, 15 (6), pp.124, 2010 |
AI for SDGs – A technical and illustrated tourEDP Sciences, 2025, 978-7598-3884-4. ⟨10.1051/978-2-7598-3883-7⟩ |
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Veracity of Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics7 (3), pp.1 - 155, 2015, ⟨10.2200/S00676ED1V01Y201509DTM042⟩ |
La qualité et la gouvernance des données au service de la performance des entreprisesLavoisier; Hermes Science, 2012, 978-2-7462-2510-7 |
Artificial intelligence for sustainability scienceDangles, Olivier (coord.); Fréour, Claire (coord.). Sustainability science : understand, co-construct, transform (volume 1), IRD, pp.154-157, 2023 |
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L'intelligence artificielle pour la science de la durabilitéDangles, Olivier (coord.); Fréour, Claire (coord.). Science de la durabilité : comprendre, co-construire, transformer (volume 1), IRD, pp.154-157, 2022 |
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Truth DiscoverySherif Sakr and Albert Zomaya (Eds), Springer. Encyclopedia of Big Data Technologies, Springer; Springer International Publishing, pp.1-8, 2018, Big Data Integration, ⟨10.1007/978-3-319-63962-8_23-1⟩ |
A Collaborative Framework for Joint Segmentation and Classification of Remote Sensing ImagesAdvances in Knowledge Discovery and Management. Studies in Computational Intelligence, 732, , 2017, 978-3-319-65405-8 |
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Quality of Web Data and Quality of Big Data: Open ProblemsData Quality: Concepts, Methodologies and Techniques, 2016, 978-3-319-24104-3 |
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Data Fusion: Resolving Conflicts from Multiple SourcesSpringer. Handbook of Data Quality, 2013, 978-3-642-36256-9 |
Cleaning, Integrating, and Warehousing Genomic Data From Biomedical ResourcesMourad Elloumi & Albert Y. Zomaya (ed). Biological Knowledge Discovery Handbook, John Wiley & Sons, pp.35--58, 2013, 978-1-118-61715-1. ⟨10.1002/9781118617151.ch02⟩ |
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Application de mesures de distance pour la détection de problèmes de qualité de donnéesLaure Berti-Equille. La qualité et la gouvernance de données au service de la performance des entreprises, Hermes Science Publications, pp.145-175, 2012 |
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Modelling and Measuring Data Quality for Quality-Awareness in Association Rule MiningFabrice Guillet and Howard Hamilton (Eds.), Springer. Quality Measures in Data Mining, 43, pp.101-126, 2007 |
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Quality-Extended Query Processing for Mediation SystemsLatif Al-Hakim (Ed.). Information Quality Management: Theory and Applications, pp.23-50, 2006, 9781599040240 |
Scalable Automatic Repair for minimal change and maximal likelihoodUnited States, Patent n° : United States Patent: 9619494 - 13/115.253. 2017 |
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Scalable Automatic Repair for minimal change and maximal likelihoodQatar, Patent n° : European Patent 12724324.4. 2012 |
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Detecting dependence between sourcesUnited States, Patent n° : United States Patent 8190546. 2012 |
QUADRIS : Qualité des données dans les systèmes d'informations multi-sources2006 |
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R&R: Metric-guided Adversarial Sentence Generation2025 |
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OrionBench: Benchmarking Time Series Generative Models in the Service of the End-User2024 |
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Large language models can be zero-shot anomaly detectors for time series?2024 |
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Pyreal: A Framework for Interpretable ML Explanations2024 |
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Discovering Multi-Table Functional Dependencies Without Full Join Computation2024 |
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Are Outlier Detection Methods Resilient to Sampling?2024 |
Truth discovery and copying detection from source update history. Technical Report ATT Labs-Research2009 |
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Quality Awareness for Managing and Mining DataWeb. Universté de Rennes 1, 2007 |