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2020 – today
- 2024
[j26]Quentin Marcou
, Laure Berti-Équille, Noël Novelli:
Creating a computer assisted ICD coding system: Performance metric choice and use of the ICD hierarchy. J. Biomed. Informatics 152: 104617 (2024)- [c76]Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Équille, Di Wang:
Faithful Vision-Language Interpretation via Concept Bottleneck Models. ICLR 2024 - [i18]Lei Xu, Sarah Alnegheimish, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
Single Word Change is All You Need: Designing Attacks and Defenses for Text Classifiers. CoRR abs/2401.17196 (2024) - [i17]Sarah Alnegheimish, Linh Nguyen, Laure Berti-Équille, Kalyan Veeramachaneni:
Large language models can be zero-shot anomaly detectors for time series? CoRR abs/2405.14755 (2024) - [i16]Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier:
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data. CoRR abs/2406.09864 (2024) - 2023
- [c75]Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier:
M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal Data. IEEE Big Data 2023: 1052-1058 - [c74]Robin Jarry, Marc Chaumont, Laure Berti-Équille, Gérard Subsol:
Comparing Spatial and Spatio-Temporal Paradigms to Estimate The Evolution of Socio-Economical Indicators from Satellite Images. IGARSS 2023: 5790-5793 - [i15]Laure Berti-Équille, Rafael L. G. Raimundo:
Discovering Transition Pathways Towards Coviability with Machine Learning. CoRR abs/2301.10023 (2023) - [i14]Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni:
Making the End-User a Priority in Benchmarking: OrionBench for Unsupervised Time Series Anomaly Detection. CoRR abs/2310.17748 (2023) - [i13]Alexandra Zytek, Wei-En Wang, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni:
Pyreal: A Framework for Interpretable ML Explanations. CoRR abs/2312.13084 (2023) - [i12]Rosa M. Badia, Laure Berti-Équille, Rafael Ferreira da Silva, Ulf Leser:
Integrating HPC, AI, and Workflows for Scientific Data Analysis (Dagstuhl Seminar 23352). Dagstuhl Reports 13(8): 129-164 (2023) - 2022
- [j25]Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni:
The Need for Interpretable Features: Motivation and Taxonomy. SIGKDD Explor. 24(1): 1-13 (2022) - [c73]Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni:
AER: Auto-Encoder with Regression for Time Series Anomaly Detection. IEEE Big Data 2022: 1152-1161 - [c72]Ugo Comignani, Laure Berti-Équille, Noël Novelli, Angela Bonifati:
Provenance-aware Discovery of Functional Dependencies on Integrated Views. ICDE 2022: 621-633 - [c71]Lei Xu, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni:
In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers. ICONIP (3) 2022: 485-496 - [c70]Guillaume Chambaret, Laure Berti-Équille, Frédéric Bouchara, Emmanuel Bruno, Vincent Martin, Fabien Chaillan:
Stochastic Pairing for Contrastive Anomaly Detection on Time Series. ICPRAI (2) 2022: 306-317 - [c69]Lei Xu, Alfredo Cuesta-Infante, Laure Berti-Équille, Kalyan Veeramachaneni:
R&R: Metric-guided Adversarial Sentence Generation. AACL/IJCNLP (Findings) 2022: 438-452 - [c68]Hima Patel, Shanmukha C. Guttula, Ruhi Sharma Mittal, Naresh Manwani, Laure Berti-Équille, Abhijit Manatkar:
Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI Systems. KDD 2022: 4814-4815 - [c67]Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Équille, Kalyan Veeramachaneni:
Sintel: A Machine Learning Framework to Extract Insights from Signals. SIGMOD Conference 2022: 1855-1865 - [i11]Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni:
The Need for Interpretable Features: Motivation and Taxonomy. CoRR abs/2202.11748 (2022) - [i10]Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Équille, Kalyan Veeramachaneni:
Sintel: A Machine Learning Framework to Extract Insights from Signals. CoRR abs/2204.09108 (2022) - [i9]Reshmi Ghosh, Michael Craig, H. Scott Matthews, Constantine Samaras, Laure Berti-Équille:
Reconstruction of Long-Term Historical Demand Data. CoRR abs/2209.04693 (2022) - [i8]Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni:
AER: Auto-Encoder with Regression for Time Series Anomaly Detection. CoRR abs/2212.13558 (2022) - 2021
- [c66]Aurélien Personnaz, Sihem Amer-Yahia, Laure Berti-Équille, Maximilian Fabricius, Srividya Subramanian:
DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning. CIKM 2021: 4769-4773 - [c65]Sihem Amer-Yahia, Laure Berti-Équille, Abdelouahab Chibah:
A Framework for Statistically-Sound Customer Segment Search. DSAA 2021: 1-10 - [c64]Guillaume Chambaret, Laure Berti-Équille, Frédéric Bouchara, Emmanuel Bruno, Vincent Martin, Fabien Chaillan:
Amélioration du pronostic par apprentissage profond pour des applications de maintenance prédictive. EGC 2021: 325-332 - [c63]Abdelouahab Chibah, Sihem Amer-Yahia, Laure Berti-Équille:
QeNoBi: A System for QuErying and mining BehavIoral Patterns. ICDE 2021: 2673-2676 - [c62]Laure Berti-Équille, David Dao, Stefano Ermon, Bedharta Goswami:
Challenges in KDD and ML for Sustainable Development. KDD 2021: 4031-4032 - [c61]Hima Patel, Fuyuki Ishikawa, Laure Berti-Équille, Nitin Gupta, Sameep Mehta, Satoshi Masuda, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Yasuharu Nishi:
2nd International Workshop on Data Quality Assessment for Machine Learning. KDD 2021: 4147-4148 - [c60]Aurélien Personnaz, Sihem Amer-Yahia, Laure Berti-Équille, Maximilian Fabricius, Srividya Subramanian:
Balancing Familiarity and Curiosity in Data Exploration with Deep Reinforcement Learning. aiDM@SIGMOD 2021: 16-23 - [i7]Ugo Comignani, Laure Berti-Équille, Noël Novelli, Angela Bonifati:
Provenance-aware Discovery of Functional Dependencies on Integrated Views. CoRR abs/2112.09011 (2021) - 2020
- [c59]Laure Berti-Équille:
Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop. CIDR 2020 - [c58]Ugo Comignani, Noël Novelli, Laure Berti-Équille:
Data Quality Checking for Machine Learning with MeSQuaL. EDBT 2020: 591-594 - [c57]Robin Jarry, Marc Chaumont, Laure Berti-Équille, Gérard Subsol:
Assessment of CNN-Based Methods for Poverty Estimation from Satellite Images. ICPR Workshops (7) 2020: 550-565 - [i6]Ugo Comignani, Laure Berti-Équille, Noël Novelli:
Discovering Multi-Table Functional Dependencies Without Full Join Computation. CoRR abs/2012.06237 (2020)
2010 – 2019
- 2019
- [c56]Laure Berti-Équille, Hazar Harmouch, Felix Naumann, Noël Novelli, Saravanan Thirumuruganathan:
Discovery of Genuine Functional Dependencies from Relational Data with Missing Values. INFORSID 2019: 287-288 - [c55]Laure Berti-Équille:
Reinforcement Learning for Data Preparation with Active Reward Learning. INSCI 2019: 121-132 - [c54]Laure Berti-Équille:
ML-Based Knowledge Graph Curation: Current Solutions and Challenges. WWW (Companion Volume) 2019: 938-939 - [c53]Laure Berti-Équille:
Learn2Clean: Optimizing the Sequence of Tasks for Web Data Preparation. WWW 2019: 2580-2586 - [r1]Laure Berti-Équille:
Truth Discovery. Encyclopedia of Big Data Technologies 2019 - [i5]Laure Berti-Équille, Ji Meng Loh, Saravanan Thirumuruganathan:
Are Outlier Detection Methods Resilient to Sampling? CoRR abs/1907.13276 (2019) - 2018
- [j24]Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille:
Remote sensing image analysis by aggregation of segmentation-classification collaborative agents. Pattern Recognit. 73: 259-274 (2018) - [j23]Laure Berti-Équille, Hazar Harmouch, Felix Naumann, Noël Novelli, Saravanan Thirumuruganathan:
Discovery of Genuine Functional Dependencies from Relational Data with Missing Values. Proc. VLDB Endow. 11(8): 880-892 (2018) - [c52]Laure Berti-Équille, Angela Bonifati, Tova Milo:
Machine Learning to Data Management: A Round Trip. ICDE 2018: 1735-1738 - 2017
- [j22]Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille:
Interactions segmentation-classification dans un cadre multi-paradigme pour l'analyse d'images de télédétection. Rev. d'Intelligence Artif. 31(1-2): 133-152 (2017) - [c51]Laure Berti-Équille, Yury Zhauniarovich:
Profiling DRDoS Attacks with Data Analytics Pipeline. CIKM 2017: 1983-1986 - [c50]Eva C. Serrano Balderas, Laure Berti-Équille, Maria Aurora Armienta Hernandez, Corinne Grac:
Principled Data Preprocessing: Application to Biological Aquatic Indicators of Water Pollution. DEXA Workshops 2017: 52-56 - [c49]Andrés Troya-Galvis, Pierre Gançarski, Isabelle Mougenot, Laure Berti-Équille:
Sur l'évaluation et l'élaboration d'un jeu de données de référence de bonne qualité en télédétection. EGC 2017: 393-398 - [c48]Saravanan Thirumuruganathan, Laure Berti-Équille, Mourad Ouzzani, Jorge-Arnulfo Quiané-Ruiz, Nan Tang:
UGuide: User-Guided Discovery of FD-Detectable Errors. SIGMOD Conference 2017: 1385-1397 - [c47]Tahar Zanouda, Sofiane Abbar, Laure Berti-Équille, Kushal Shah, Abdelkader Baggag, Sanjay Chawla, Jaideep Srivastava:
On the Role of Political Affiliation in Human Perception The Case of Delhi OddEven Experiment. SocInfo (2) 2017: 74-88 - 2016
- [j21]Laure Berti-Équille, Mouhamadou Lamine Ba:
Veracity of Big Data: Challenges of Cross-Modal Truth Discovery. ACM J. Data Inf. Qual. 7(3): 12:1-12:3 (2016) - [c46]Raghvendra Mall, Laure Berti-Équille, Halima Bensmail:
Metabolomic Data Profiling for Diabetes Research in Qatar. DEXA Workshops 2016: 39-43 - [c45]Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille, Younès Bennani:
On the Use of Ontology as A Priori Knowledge into Constrained Clustering. DSAA 2016: 632-641 - [c44]Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-Équille, Younès Bennani:
Génération de contraintes pour le clustering à partir d'une ontologie - Application à la classification d'images satellites. EGC 2016: 81-92 - [c43]Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille:
A Collaborative Framework for Joint Segmentation and Classification of Remote Sensing Images. EGC (best of volume) 2016: 127-145 - [c42]Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille:
Un cadre collaboratif pour la segmentation et la classification d'images de télédétection. EGC 2016: 297-308 - [c41]Laure Berti-Équille:
Scaling up truth discovery. ICDE 2016: 1418-1419 - [c40]Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Younès Bennani, Laure Berti-Équille:
Towards Ontology Reasoning for Topological Cluster Labeling. ICONIP (3) 2016: 156-164 - [c39]Andres Troya-Galvis, Pierre Gançarski, Laure Berti-Équille:
Collaborative segmentation and classification for remote sensing image analysis. ICPR 2016: 829-834 - [c38]Sofiane Abbar, Tahar Zanouda, Laure Berti-Équille, Javier Borge-Holthoefer:
Using Twitter to Understand Public Interest in Climate Change: The Case of Qatar. EcoMo@ICWSM 2016 - [c37]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:
Rheem: Enabling Multi-Platform Task Execution. SIGMOD Conference 2016: 2069-2072 - [c36]Mouhamadou Lamine Ba, Laure Berti-Équille, Kushal Shah, Hossam M. Hammady:
VERA: A Platform for Veracity Estimation over Web Data. WWW (Companion Volume) 2016: 159-162 - [i4]Sofiane Abbar, Tahar Zanouda, Laure Berti-Équille, Javier Borge-Holthoefer:
Using Twitter to Understand Public Interest in Climate Change: The case of Qatar. CoRR abs/1603.04010 (2016) - 2015
- [b2]Laure Berti-Équille, Javier Borge-Holthoefer:
Veracity of Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics. Synthesis Lectures on Data Management, Morgan & Claypool Publishers 2015, ISBN 978-3-031-00727-9 - [j20]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:
A quality-aware spatial data warehouse for querying hydroecological data. Comput. Geosci. 85: 126-135 (2015) - [j19]Laure Berti-Équille, Ji Meng Loh, Tamraparni Dasu:
A masking index for quantifying hidden glitches. Knowl. Inf. Syst. 44(2): 253-277 (2015) - [j18]Andres Troya-Galvis, Pierre Gançarski, Nicolas Passat, Laure Berti-Équille:
Unsupervised Quantification of Under- and Over-Segmentation for Object-Based Remote Sensing Image Analysis. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 8(5): 1936-1945 (2015) - [c35]Laure Berti-Équille:
Data veracity estimation with ensembling truth discovery methods. IEEE BigData 2015: 2628-2636 - [c34]Dalia Attia Waguih, Naman Goel, Hossam M. Hammady, Laure Berti-Équille:
AllegatorTrack: Combining and reporting results of truth discovery from multi-source data. ICDE 2015: 1440-1443 - [c33]Ismael Caballero, Laure Berti-Équille, Mario Piattini:
Towards Principled Data Science Assessment - The Personal Data Science Process (PdsP). ICEIS (1) 2015: 374-378 - [i3]Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava:
Data Fusion: Resolving Conflicts from Multiple Sources. CoRR abs/1503.00310 (2015) - 2014
- [j17]Amrapali Zaveri, Andrea Maurino, Laure Berti-Équille:
Web Data Quality: Current State and New Challenges. Int. J. Semantic Web Inf. Syst. 10(2): 1-6 (2014) - [i2]Dalia Attia Waguih, Laure Berti-Équille:
Truth Discovery Algorithms: An Experimental Evaluation. CoRR abs/1409.6428 (2014) - 2013
- [c32]Laure Berti-Équille, Ji Meng Loh, Tamraparni Dasu:
A Masking Index for Quantifying Hidden Glitches. ICDM 2013: 21-30 - [c31]Mohamed Yakout, Laure Berti-Équille, Ahmed K. Elmagarmid:
Don't be SCAREd: use SCalable Automatic REpairing with maximal likelihood and bounded changes. SIGMOD Conference 2013: 553-564 - [c30]Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava:
Data Fusion: Resolving Conflicts from Multiple Sources. WAIM 2013: 64-76 - [p2]Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava:
Data Fusion: Resolving Conflicts from Multiple Sources. Handbook of Data Quality 2013: 293-318 - 2012
- [j16]Laure Berti-Équille:
Multi-Scale Data Integration Challenges in the Observational Science Data Space. it Inf. Technol. 54(3): 123-129 (2012) - [c29]Noël Novelli, Laure Berti-Équille, Christophe Hurter:
ADVISU: Interactive Visualization of Anomalies and Dependencies from Massive Scientific Datasets. EGC 2012: 613-616 - [e3]Laure Berti-Équille, Isabelle Comyn-Wattiau, Monica Scannapieco:
Proceedings of the 17th International Conference on Information Quality, IQ 2012, Paris, France, November 16-17, 2012. MIT 2012 [contents] - [e2]Laure Berti-Équille, Jérôme Azé, Mathieu Roche, Fatiha Saïs, Sylvie Guillaume, Nicolas Béchet:
Mesurer et évaluer la Qualité des Données et des Connaissances. RNTI E-22, Hermann-Éditions 2012, ISBN 978-2-70568-286-6 [contents] - 2011
- [j15]Laure Berti-Équille, Isabelle Comyn-Wattiau, Mireille Cosquer, Zoubida Kedad, Sylvaine Nugier, Verónika Peralta, Samira Si-Said Cherfi, Virginie Thion-Goasdoué:
Assessment and analysis of information quality: a multidimensional model and case studies. Int. J. Inf. Qual. 2(4): 300-323 (2011) - [c28]Laure Berti-Équille, Tamraparni Dasu, Divesh Srivastava:
Discovery of complex glitch patterns: A novel approach to Quantitative Data Cleaning. ICDE 2011: 733-744 - [c27]César Guerra-García, Ismael Caballero, Laure Berti-Équille, Mario Piattini:
DAQ_UWE: A framework for designing data quality aware web applications. ICIQ 2011 - 2010
- [j14]Isabelle Comyn-Wattiau, Jacky Akoka, Laure Berti-Équille:
La qualité des systèmes d'information. Ingénierie des Systèmes d Inf. 15(6): 9-32 (2010) - [j13]Minji Wu, Laure Berti-Équille, Amélie Marian, Cecilia M. Procopiuc, Divesh Srivastava:
Processing Top-k Join Queries. Proc. VLDB Endow. 3(1): 860-870 (2010) - [j12]Xin Dong, Laure Berti-Équille, Yifan Hu, Divesh Srivastava:
Global Detection of Complex Copying Relationships Between Sources. Proc. VLDB Endow. 3(1): 1358-1369 (2010) - [j11]Xin Dong, Laure Berti-Équille, Yifan Hu, Divesh Srivastava:
SOLOMON: Seeking the Truth Via Copying Detection. Proc. VLDB Endow. 3(2): 1617-1620 (2010) - [c26]Bernd Amann, Laure Berti-Équille, Zoé Lacroix, Maria-Esther Vidal:
Challenges of Quality-Driven Resource Discovery. RED 2010: 181-189
2000 – 2009
- 2009
- [j10]Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava:
Integrating Conflicting Data: The Role of Source Dependence. Proc. VLDB Endow. 2(1): 550-561 (2009) - [j9]Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava:
Truth Discovery and Copying Detection in a Dynamic World. Proc. VLDB Endow. 2(1): 562-573 (2009) - [c25]Laure Berti-Équille, Anish Das Sarma, Xin Dong, Amélie Marian, Divesh Srivastava:
Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source Dependence. CIDR 2009 - [c24]Verónika Peralta, Virginie Thion-Goasdoué, Zoubida Kedad, Laure Berti-Équille, Isabelle Comyn-Wattiau, Sylvaine Nugier, Samira Si-Said Cherfi:
Multidimensional Management and Analysis of Quality Measures for CRM Applications in an Electricity Company. ICIQ 2009: 202-215 - [i1]Laure Berti-Équille, Anish Das Sarma, Xin Dong, Amélie Marian, Divesh Srivastava:
Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source Dependence. CoRR abs/0909.1776 (2009) - 2008
- [c23]Laure Berti-Équille:
Tracing Data Pollution in Large Business Applications. ICIQ 2008: 356-366 - [c22]Laure Berti-Équille:
Measuring and Constraining Data Quality with Analytic Workflows. QDB/MUD 2008: 103-112 - 2007
- [b1]Laure Berti-Équille:
Quality Awareness for Managing and Mining Data. University of Rennes 1, France, 2007 - [j8]Toufik Ahmed, Abolghasem (Hamid) Asgari, Ahmed Mehaoua, Eugen Borcoci, Laure Berti-Équille, George Kormentzas:
End-to-end quality of service provisioning through an integrated management system for multimedia content delivery. Comput. Commun. 30(3): 638-651 (2007) - [j7]Laure Berti-Équille:
Data quality awareness: a case study for cost optimal association rule mining. Knowl. Inf. Syst. 11(2): 191-215 (2007) - [c21]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:
A Framework for Quality Evaluation in Data Integration Systems. ICEIS (3) 2007: 170-175 - [c20]Fouzia Moussouni, Laure Berti-Équille, G. Rozé, Olivier Loréal, Emilie Guérin:
QDex: A Database Profiler for Generic Bio-data Exploration and Quality Aware Integration. WISE Workshops 2007: 5-16 - [p1]Laure Berti-Équille:
Measuring and Modelling Data Quality for Quality-Awareness in Data Mining. Quality Measures in Data Mining 2007: 101-126 - 2006
- [j6]Laure Berti-Équille:
Contributions to Quality-Aware Online Query Processing. IEEE Data Eng. Bull. 29(2): 32-42 (2006) - [j5]Monica Scannapieco, Laure Berti-Équille:
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. 35(2): 50-52 (2006) - [c19]Laure Berti-Équille:
Modèle décisionnel basé sur la qualité des données pour sélectionner les règles d'associations légitimement intéressantes. EGC 2006: 593-598 - [c18]Laure Berti-Équille:
Quality-Aware Association Rule Mining. PAKDD 2006: 440-449 - 2005
- [c17]Anicet Kouomou Choupo, Laure Berti-Équille, Annie Morin:
Optimizing Progressive Query-By-Example over Pre-Clustered Large Image Databases. BDA 2005 - [c16]Anicet Kouomou Choupo, Laure Berti-Équille, Annie Morin:
Optimizing progressive query-by-example over pre-clustered large image databases. CVDB 2005: 13-20 - [c15]Emilie Guérin, Gwenaëlle Marquet, Anita Burgun, Olivier Loréal, Laure Berti-Équille, Ulf Leser, Fouzia Moussouni:
Integrating and Warehousing Liver Gene Expression Data and Related Biomedical Resources in GEDAW. DILS 2005: 158-174 - [c14]Laure Berti-Équille:
Nettoyage des données XML : combien ça coûte ? EGC (Ateliers) 2005: 379-384 - [c13]Laure Berti-Équille, Fouzia Moussouni:
Quality-Aware Integration and Warehousing of Genomic Data. ICIQ 2005 - [c12]Boris Rousseau, Laure Berti-Équille, Wilfried Jouve:
Enriching Multimedia Content Description for Broadcast Environments: From a Unified Metadata Model to a New Generation of Authoring Tool. ISM 2005: 87-94 - [e1]Laure Berti-Équille, Carlo Batini, Divesh Srivastava:
IQIS 2005, International Workshop on Information Quality in Information Systems, 17 June 2005, Baltimore, Maryland, USA (SIGMOD 2005 Workshop). ACM 2005, ISBN 1-59593-160-0 [contents] - 2004
- [j4]Laure Berti-Équille:
Un état de l'art sur la qualité des données. Ingénierie des Systèmes d Inf. 9(5-6): 117-143 (2004) - [c11]Anicet Kouomou Choupo, Annie Morin, Laure Berti-Équille:
Recherche dans de grandes bases d'images fixes : une nouvelle approche guidée par les règles d'association. EGC 2004: 65-70 - [c10]