Laure Berti-Équille

136 papers A* 13A 7B 11C 2Journal 50Unranked 45
YearRankTypeTitle / Venue / Authors
2025 — conf
EM-SEC: Efficient Multi-head Set-Valued Evidential Classification.
ECML/PKDD (2)
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2025 A* conf
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data.
SIGIR
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2025 A conf
Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion.
AISTATS
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2025 J jnl
Not every day is a sunny day: Synthetic cloud injection for deep land cover segmentation robustness evaluation across data sources.
CoRR
Sara Mobsite, Renaud Hostache, Laure Berti-Équille, Emmanuel Roux, Joris Guérin
2025 J jnl
Single Word Change Is All You Need: Using LLMs to Create Synthetic Training Examples for Text Classifiers.
Expert Syst. J. Knowl. Eng.
Lei Xu, Sarah Alnegheimish, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2024 B conf
Can Large Language Models be Anomaly Detectors for Time Series?
DSAA
Sarah Alnegheimish, Linh Nguyen, Laure Berti-Équille, Kalyan Veeramachaneni
2024 J jnl
Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy.
J. Biomed. Informatics
Quentin Marcou, Laure Berti-Équille, Noël Novelli
2024 B conf
Explingo: Explaining AI Predictions using Large Language Models.
IEEE Big Data
Alexandra Zytek, Sara Pidò, Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni
2024 J jnl
Explingo: Explaining AI Predictions using Large Language Models.
CoRR
Alexandra Zytek, Sara Pidò, Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni
2024 A* conf
Faithful Vision-Language Interpretation via Concept Bottleneck Models.
ICLR
Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Équille, Di Wang
2024 J jnl
Hierarchical Classification for Automated Image Annotation of Coral Reef Benthic Structures.
CoRR
Célia Blondin, Joris Guérin, Kelly Yumi Inagaki, Guilherme Longo, Laure Berti-Équille
2024 J jnl
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data.
CoRR
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2024 J jnl
Large language models can be zero-shot anomaly detectors for time series?
CoRR
Sarah Alnegheimish, Linh Nguyen, Laure Berti-Équille, Kalyan Veeramachaneni
2024 B conf
MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning.
IEEE Big Data
Abdelmadjid Chergui, Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2024 J jnl
MixMAS: A Framework for Sampling-Based Mixer Architecture Search for Multimodal Fusion and Learning.
CoRR
Abdelmadjid Chergui, Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2024 J jnl
Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion.
CoRR
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2024 B conf
OrionBench: Benchmarking Time Series Generative Models in the Service of the End-User.
IEEE Big Data
Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni
2024 — conf
Predicting Socio-economic Indicator Variations with Satellite Image Time Series and Transformer.
BMVC Workshops
Robin Jarry, Marc Chaumont, Laure Berti-Équille, Gérard Subsol
2024 J jnl
Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers.
CoRR
Lei Xu, Sarah Alnegheimish, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2023 C conf
Comparing Spatial and Spatio-Temporal Paradigms to Estimate The Evolution of Socio-Economical Indicators from Satellite Images.
IGARSS
Robin Jarry, Marc Chaumont, Laure Berti-Équille, Gérard Subsol
2023 J jnl
Discovering Transition Pathways Towards Coviability with Machine Learning.
CoRR
Laure Berti-Équille, Rafael L. G. Raimundo
2023 J jnl
Integrating HPC, AI, and Workflows for Scientific Data Analysis (Dagstuhl Seminar 23352).
Dagstuhl Reports
Rosa M. Badia, Laure Berti-Équille, Rafael Ferreira da Silva, Ulf Leser
2023 B conf
M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal Data.
IEEE Big Data
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
2023 J jnl
Making the End-User a Priority in Benchmarking: OrionBench for Unsupervised Time Series Anomaly Detection.
CoRR
Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni
2023 J jnl
Pyreal: A Framework for Interpretable ML Explanations.
CoRR
Alexandra Zytek, Wei-En Wang, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni
2022 B conf
AER: Auto-Encoder with Regression for Time Series Anomaly Detection.
IEEE Big Data
Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni
2022 J jnl
AER: Auto-Encoder with Regression for Time Series Anomaly Detection.
CoRR
Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni
2022 A* conf
Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI Systems.
KDD
Hima Patel, Shanmukha C. Guttula, Ruhi Sharma Mittal, Naresh Manwani, Laure Berti-Équille, Abhijit Manatkar
2022 — conf
In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers.
ICONIP (3)
Lei Xu, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
2022 A* conf
Provenance-aware Discovery of Functional Dependencies on Integrated Views.
ICDE
Ugo Comignani, Laure Berti-Équille, Noël Novelli, Angela Bonifati
2022 — conf
R&R: Metric-guided Adversarial Sentence Generation.
AACL/IJCNLP (Findings)
Lei Xu, Alfredo Cuesta-Infante, Laure Berti-Équille, Kalyan Veeramachaneni
2022 J jnl
Reconstruction of Long-Term Historical Demand Data.
CoRR
Reshmi Ghosh, Michael Craig, H. Scott Matthews, Constantine Samaras, Laure Berti-Équille
2022 — conf
Sintel: A Machine Learning Framework to Extract Insights from Signals.
SIGMOD Conference
Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Équille, Kalyan Veeramachaneni
2022 J jnl
Sintel: A Machine Learning Framework to Extract Insights from Signals.
CoRR
Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Équille, Kalyan Veeramachaneni
2022 — conf
Stochastic Pairing for Contrastive Anomaly Detection on Time Series.
ICPRAI (2)
Guillaume Chambaret, Laure Berti-Équille, Frédéric Bouchara, Emmanuel Bruno, Vincent Martin, Fabien Chaillan
2022 J jnl
The Need for Interpretable Features: Motivation and Taxonomy.
CoRR
Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni
2022 J jnl
The Need for Interpretable Features: Motivation and Taxonomy.
SIGKDD Explor.
Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni
2021 A* conf
2nd International Workshop on Data Quality Assessment for Machine Learning.
KDD
Hima Patel, Fuyuki Ishikawa, Laure Berti-Équille, Nitin Gupta, Sameep Mehta, Satoshi Masuda, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Yasuharu Nishi
2021 B conf
A Framework for Statistically-Sound Customer Segment Search.
DSAA
Sihem Amer-Yahia, Laure Berti-Équille, Abdelouahab Chibah
2021 — conf
Amélioration du pronostic par apprentissage profond pour des applications de maintenance prédictive.
EGC
Guillaume Chambaret, Laure Berti-Équille, Frédéric Bouchara, Emmanuel Bruno, Vincent Martin, Fabien Chaillan
2021 — conf
Balancing Familiarity and Curiosity in Data Exploration with Deep Reinforcement Learning.
aiDM@SIGMOD
Aurélien Personnaz, Sihem Amer-Yahia, Laure Berti-Équille, Maximilian Fabricius, Srividya Subramanian
2021 A* conf
Challenges in KDD and ML for Sustainable Development.
KDD
Laure Berti-Équille, David Dao, Stefano Ermon, Bedharta Goswami
2021 A conf
DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning.
CIKM
Aurélien Personnaz, Sihem Amer-Yahia, Laure Berti-Équille, Maximilian Fabricius, Srividya Subramanian
2021 J jnl
Provenance-aware Discovery of Functional Dependencies on Integrated Views.
CoRR
Ugo Comignani, Laure Berti-Équille, Noël Novelli, Angela Bonifati
2021 A* conf
QeNoBi: A System for QuErying and mining BehavIoral Patterns.
ICDE
Abdelouahab Chibah, Sihem Amer-Yahia, Laure Berti-Équille
2020 A conf
Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop.
CIDR
Laure Berti-Équille
2020 — conf
Assessment of CNN-Based Methods for Poverty Estimation from Satellite Images.
ICPR Workshops (7)
Robin Jarry, Marc Chaumont, Laure Berti-Équille, Gérard Subsol
2020 B conf
Data Quality Checking for Machine Learning with MeSQuaL.
EDBT
Ugo Comignani, Noël Novelli, Laure Berti-Équille
2020 J jnl
Discovering Multi-Table Functional Dependencies Without Full Join Computation.
CoRR
Ugo Comignani, Laure Berti-Équille, Noël Novelli
2019 J jnl
Are Outlier Detection Methods Resilient to Sampling?
CoRR
Laure Berti-Équille, Ji Meng Loh, Saravanan Thirumuruganathan
2019 — conf
Discovery of Genuine Functional Dependencies from Relational Data with Missing Values.
INFORSID
Laure Berti-Équille, Hazar Harmouch, Felix Naumann, Noël Novelli, Saravanan Thirumuruganathan
2019 A* conf
Learn2Clean: Optimizing the Sequence of Tasks for Web Data Preparation.
WWW
Laure Berti-Équille
2019 — conf
ML-Based Knowledge Graph Curation: Current Solutions and Challenges.
WWW (Companion Volume)
Laure Berti-Équille
2019 — conf
Reinforcement Learning for Data Preparation with Active Reward Learning.
INSCI
Laure Berti-Équille
2019 — ch.
Truth Discovery.
Encyclopedia of Big Data Technologies
Laure Berti-Équille
2018 J jnl
Discovery of Genuine Functional Dependencies from Relational Data with Missing Values.
Proc. VLDB Endow.
Laure Berti-Équille, Hazar Harmouch, Felix Naumann, Noël Novelli, Saravanan Thirumuruganathan
2018 A* conf
Machine Learning to Data Management: A Round Trip.
ICDE
Laure Berti-Équille, Angela Bonifati, Tova Milo
2018 J jnl
Remote sensing image analysis by aggregation of segmentation-classification collaborative agents.
Pattern Recognit.
Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
2017 J jnl
Interactions segmentation-classification dans un cadre multi-paradigme pour l'analyse d'images de télédétection.
Rev. d'Intelligence Artif.
Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
2017 — conf
On the Role of Political Affiliation in Human Perception The Case of Delhi OddEven Experiment.
SocInfo (2)
Tahar Zanouda, Sofiane Abbar, Laure Berti-Équille, Kushal Shah, Abdelkader Baggag, Sanjay Chawla, Jaideep Srivastava
2017 — conf
Principled Data Preprocessing: Application to Biological Aquatic Indicators of Water Pollution.
DEXA Workshops
Eva C. Serrano Balderas, Laure Berti-Équille, Maria Aurora Armienta Hernandez, Corinne Grac
2017 A conf
Profiling DRDoS Attacks with Data Analytics Pipeline.
CIKM
Laure Berti-Équille, Yury Zhauniarovich
2017 — conf
Sur l'évaluation et l'élaboration d'un jeu de données de référence de bonne qualité en télédétection.
EGC
Andrés Troya-Galvis, Pierre Gançarski, Isabelle Mougenot, Laure Berti-Équille
2017 — conf
UGuide: User-Guided Discovery of FD-Detectable Errors.
SIGMOD Conference
Saravanan Thirumuruganathan, Laure Berti-Équille, Mourad Ouzzani, Jorge-Arnulfo Quiané-Ruiz, Nan Tang
2016 — conf
A Collaborative Framework for Joint Segmentation and Classification of Remote Sensing Images.
EGC (best of volume)
Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
2016 B conf
Collaborative segmentation and classification for remote sensing image analysis.
ICPR
Andres Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
2016 — conf
Génération de contraintes pour le clustering à partir d'une ontologie - Application à la classification d'images satellites.
EGC
Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille, Younès Bennani
2016 — conf
Metabolomic Data Profiling for Diabetes Research in Qatar.
DEXA Workshops
Raghvendra Mall, Laure Berti-Équille, Halima Bensmail
2016 B conf
On the Use of Ontology as A Priori Knowledge into Constrained Clustering.
DSAA
Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille, Younès Bennani
2016 — conf
Rheem: Enabling Multi-Platform Task Execution.
SIGMOD Conference
Divy Agrawal, Mouhamadou Lamine Ba, Laure Berti-Équille, Sanjay Chawla, Ahmed K. Elmagarmid, Hossam Hammady, Yasser Idris, Zoi Kaoudi, Zuhair Khayyat, Sebastian Kruse, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quiané-Ruiz, Nan Tang, Mohammed J. Zaki
2016 A* conf
Scaling up truth discovery.
ICDE
Laure Berti-Équille
2016 — conf
Towards Ontology Reasoning for Topological Cluster Labeling.
ICONIP (3)
Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Younès Bennani, Laure Berti-Équille
2016 — conf
Un cadre collaboratif pour la segmentation et la classification d'images de télédétection.
EGC
Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
2016 — conf
Using Twitter to Understand Public Interest in Climate Change: The Case of Qatar.
EcoMo@ICWSM
Sofiane Abbar, Tahar Zanouda, Laure Berti-Équille, Javier Borge-Holthoefer
2016 J jnl
Using Twitter to Understand Public Interest in Climate Change: The case of Qatar.
CoRR
Sofiane Abbar, Tahar Zanouda, Laure Berti-Équille, Javier Borge-Holthoefer
2016 — conf
VERA: A Platform for Veracity Estimation over Web Data.
WWW (Companion Volume)
Mouhamadou Lamine Ba, Laure Berti-Équille, Kushal Shah, Hossam M. Hammady
2016 J jnl
Veracity of Big Data: Challenges of Cross-Modal Truth Discovery.
ACM J. Data Inf. Qual.
Laure Berti-Équille, Mouhamadou Lamine Ba
2015 J jnl
A masking index for quantifying hidden glitches.
Knowl. Inf. Syst.
Laure Berti-Équille, Ji Meng Loh, Tamraparni Dasu
2015 J jnl
A quality-aware spatial data warehouse for querying hydroecological data.
Comput. Geosci.
Lilia Berrahou, Nathalie Lalande, Eva Serrano, Guihem Molla, Laure Berti-Équille, Sandro Bimonte, Sandra Bringay, Flavie Cernesson, Corinne Grac, Dino Ienco, Florence Le Ber, Maguelonne Teisseire
2015 A* conf
AllegatorTrack: Combining and reporting results of truth discovery from multi-source data.
ICDE
Dalia Attia Waguih, Naman Goel, Hossam M. Hammady, Laure Berti-Équille
2015 J jnl
Data Fusion: Resolving Conflicts from Multiple Sources.
CoRR
Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
2015 — conf
Data veracity estimation with ensembling truth discovery methods.
IEEE BigData
Laure Berti-Équille
2015 — conf
Towards Principled Data Science Assessment - The Personal Data Science Process (PdsP).
ICEIS (1)
Ismael Caballero, Laure Berti-Équille, Mario Piattini
2015 J jnl
Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.
Andres Troya-Galvis, Pierre Gançarski, Nicolas Passat, Laure Berti-Équille
2015 — book
Veracity of Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics
Laure Berti-Équille, Javier Borge-Holthoefer
2014 J jnl
Truth Discovery Algorithms: An Experimental Evaluation.
CoRR
Dalia Attia Waguih, Laure Berti-Équille
2014 J jnl
Web Data Quality: Current State and New Challenges.
Int. J. Semantic Web Inf. Syst.
Amrapali Zaveri, Andrea Maurino, Laure Berti-Équille
2013 A* conf
A Masking Index for Quantifying Hidden Glitches.
ICDM
Laure Berti-Équille, Ji Meng Loh, Tamraparni Dasu
2013 — ch.
Data Fusion: Resolving Conflicts from Multiple Sources.
Handbook of Data Quality
Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
2013 — conf
Data Fusion: Resolving Conflicts from Multiple Sources.
WAIM
Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
2013 — conf
Don't be SCAREd: use SCalable Automatic REpairing with maximal likelihood and bounded changes.
SIGMOD Conference
Mohamed Yakout, Laure Berti-Équille, Ahmed K. Elmagarmid
2012 — conf
ADVISU: Interactive Visualization of Anomalies and Dependencies from Massive Scientific Datasets.
EGC
Noël Novelli, Laure Berti-Équille, Christophe Hurter
2012 — book
Mesurer et évaluer la Qualité des Données et des Connaissances
Mesurer et évaluer la Qualité des Données et des Connaissances
Laure Berti-Équille, Jérôme Azé, Mathieu Roche, Fatiha Saïs, Sylvie Guillaume, Nicolas Béchet
2012 J jnl
Multi-Scale Data Integration Challenges in the Observational Science Data Space.
it Inf. Technol.
Laure Berti-Équille
2012 — ed.
Proceedings of the 17th International Conference on Information Quality, IQ 2012, Paris, France, November 16-17, 2012.
ICIQ
Laure Berti-Équille, Isabelle Comyn-Wattiau, Monica Scannapieco
2011 J jnl
Assessment and analysis of information quality: a multidimensional model and case studies.
Int. J. Inf. Qual.
Laure Berti-Équille, Isabelle Comyn-Wattiau, Mireille Cosquer, Zoubida Kedad, Sylvaine Nugier, Verónika Peralta, Samira Si-Said Cherfi, Virginie Thion-Goasdoué
2011 — conf
DAQ_UWE: A framework for designing data quality aware web applications.
ICIQ
César Guerra-García, Ismael Caballero, Laure Berti-Équille, Mario Piattini
2011 A* conf
Discovery of complex glitch patterns: A novel approach to Quantitative Data Cleaning.
ICDE
Laure Berti-Équille, Tamraparni Dasu, Divesh Srivastava
2010 — conf
Challenges of Quality-Driven Resource Discovery.
RED
Bernd Amann, Laure Berti-Équille, Zoé Lacroix, Maria-Esther Vidal
2010 J jnl
Global Detection of Complex Copying Relationships Between Sources.
Proc. VLDB Endow.
Xin Dong, Laure Berti-Équille, Yifan Hu, Divesh Srivastava
2010 J jnl
La qualité des systèmes d'information.
Ingénierie des Systèmes d Inf.
Isabelle Comyn-Wattiau, Jacky Akoka, Laure Berti-Équille
2010 J jnl
Processing Top-k Join Queries.
Proc. VLDB Endow.
Minji Wu, Laure Berti-Équille, Amélie Marian, Cecilia M. Procopiuc, Divesh Srivastava
2010 J jnl
SOLOMON: Seeking the Truth Via Copying Detection.
Proc. VLDB Endow.
Xin Dong, Laure Berti-Équille, Yifan Hu, Divesh Srivastava
2009 J jnl
Integrating Conflicting Data: The Role of Source Dependence.
Proc. VLDB Endow.
Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
2009 — conf
Multidimensional Management and Analysis of Quality Measures for CRM Applications in an Electricity Company.
ICIQ
Verónika Peralta, Virginie Thion-Goasdoué, Zoubida Kedad, Laure Berti-Équille, Isabelle Comyn-Wattiau, Sylvaine Nugier, Samira Si-Said Cherfi
2009 J jnl
Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source Dependence
CoRR
Laure Berti-Équille, Anish Das Sarma, Xin Dong, Amélie Marian, Divesh Srivastava
2009 A conf
Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source Dependence.
CIDR
Laure Berti-Équille, Anish Das Sarma, Xin Dong, Amélie Marian, Divesh Srivastava
2009 J jnl
Truth Discovery and Copying Detection in a Dynamic World.
Proc. VLDB Endow.
Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
2008 — conf
Measuring and Constraining Data Quality with Analytic Workflows.
QDB/MUD
Laure Berti-Équille
2008 — conf
Tracing Data Pollution in Large Business Applications.
ICIQ
Laure Berti-Équille
2007 — conf
A Framework for Quality Evaluation in Data Integration Systems.
ICEIS (3)
Jacky Akoka, Laure Berti-Équille, Omar Boucelma, Mokrane Bouzeghoub, Isabelle Comyn-Wattiau, Mireille Cosquer, Virginie Goasdoué-Thion, Zoubida Kedad, Sylvaine Nugier, Verónika Peralta, Samira Si-Said Cherfi
2007 J jnl
Data quality awareness: a case study for cost optimal association rule mining.
Knowl. Inf. Syst.
Laure Berti-Équille
2007 J jnl
End-to-end quality of service provisioning through an integrated management system for multimedia content delivery.
Comput. Commun.
Toufik Ahmed, Abolghasem (Hamid) Asgari, Ahmed Mehaoua, Eugen Borcoci, Laure Berti-Équille, George Kormentzas
2007 — ch.
Measuring and Modelling Data Quality for Quality-Awareness in Data Mining.
Quality Measures in Data Mining
Laure Berti-Équille
2007 — conf
QDex: A Database Profiler for Generic Bio-data Exploration and Quality Aware Integration.
WISE Workshops
Fouzia Moussouni, Laure Berti-Équille, G. Rozé, Olivier Loréal, Emilie Guérin
2007 — book
Quality Awareness for Managing and Mining Data.
Laure Berti-Équille
2006 J jnl
Contributions to Quality-Aware Online Query Processing.
IEEE Data Eng. Bull.
Laure Berti-Équille
2006 — conf
Modèle décisionnel basé sur la qualité des données pour sélectionner les règles d'associations légitimement intéressantes.
EGC
Laure Berti-Équille
2006 B conf
Quality-Aware Association Rule Mining.
PAKDD
Laure Berti-Équille
2006 J jnl
Report from the First and Second International Workshops on Information Quality in Information Systems: IQIS 2004 and IQIS 2005 in conjunction with ACM SIGMOD/PODS Conferences.
SIGMOD Rec.
Monica Scannapieco, Laure Berti-Équille
2005 C conf
Enriching Multimedia Content Description for Broadcast Environments: From a Unified Metadata Model to a New Generation of Authoring Tool.
ISM
Boris Rousseau, Laure Berti-Équille, Wilfried Jouve
2005 — ed.
IQIS 2005, International Workshop on Information Quality in Information Systems, 17 June 2005, Baltimore, Maryland, USA (SIGMOD 2005 Workshop)
IQIS
Laure Berti-Équille, Carlo Batini, Divesh Srivastava
2005 — conf
Integrating and Warehousing Liver Gene Expression Data and Related Biomedical Resources in GEDAW.
DILS
Emilie Guérin, Gwenaëlle Marquet, Anita Burgun, Olivier Loréal, Laure Berti-Équille, Ulf Leser, Fouzia Moussouni
2005 — conf
Nettoyage des données XML : combien ça coûte ?
EGC (Ateliers)
Laure Berti-Équille
2005 — conf
Optimizing Progressive Query-By-Example over Pre-Clustered Large Image Databases.
BDA
Anicet Kouomou Choupo, Laure Berti-Équille, Annie Morin
2005 — conf
Optimizing progressive query-by-example over pre-clustered large image databases.
CVDB
Anicet Kouomou Choupo, Laure Berti-Équille, Annie Morin
2005 — conf
Quality-Aware Integration and Warehousing of Genomic Data.
ICIQ
Laure Berti-Équille, Fouzia Moussouni
2004 A conf
Multimedia indexing and retrieval with features association rules mining.
ICME
Anicet Kouomou Choupo, Laure Berti-Équille, Annie Morin
2004 — conf
Quality-Adaptive Query Processing Over Distributed Sources.
ICIQ
Laure Berti-Équille
2004 — conf
Recherche dans de grandes bases d'images fixes : une nouvelle approche guidée par les règles d'association.
EGC
Anicet Kouomou Choupo, Annie Morin, Laure Berti-Équille
2004 J jnl
Un état de l'art sur la qualité des données.
Ingénierie des Systèmes d Inf.
Laure Berti-Équille
2003 J jnl
Quality-Based Recommendation of XML Documents.
J. Digit. Inf. Manag.
Laure Berti-Équille
2003 — conf
Renseigner la qualité des connaissances par la fusion d'indicateurs sur la qualité des données.
EGC
Laure Berti-Équille
2002 J jnl
Annotation et recommandation collaboratives de documents selon leur qualité.
Ingénierie des Systèmes d Inf.
Laure Berti-Équille
2001 A conf
Integration of Biological Data and Quality-Driven Source Negotiation.
ER
Laure Berti-Équille
2001 J jnl
Integration of biological data on transcriptome.
Ingénierie des Systèmes d Inf.
Laure Berti-Équille, Fouzia Moussouni, Anne Arcade