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2020 – today

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2024
[j26]
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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)
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Sarah Alnegheimish, Linh Nguyen, Laure Berti-Équille, Kalyan Veeramachaneni:
Can Large Language Models be Anomaly Detectors for Time Series? DSAA 2024: 1-10
[c76]
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Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Équille, Di Wang:
Faithful Vision-Language Interpretation via Concept Bottleneck Models. ICLR 2024
[i18]
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  - journals/corr/abs-2401-17196
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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]
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  - journals/corr/abs-2405-14755
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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]
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  - journals/corr/abs-2406-09864
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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]
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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]
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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]
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  - journals/corr/abs-2301-10023
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Laure Berti-Équille, Rafael L. G. Raimundo:
Discovering Transition Pathways Towards Coviability with Machine Learning. CoRR abs/2301.10023 (2023)
[i14]
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  - journals/corr/abs-2310-17748
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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]
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  - journals/corr/abs-2312-13084
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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]
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  - journals/dagstuhl-reports/BadiaBSL23
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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]
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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]
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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]
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  - conf/icde/ComignaniBNB22
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Ugo Comignani, Laure Berti-Équille, Noël Novelli, Angela Bonifati:
Provenance-aware Discovery of Functional Dependencies on Integrated Views. ICDE 2022: 621-633
[c71]
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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]
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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]
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Lei Xu, Alfredo Cuesta-Infante, Laure Berti-Équille, Kalyan Veeramachaneni:
R&R: Metric-guided Adversarial Sentence Generation. AACL/IJCNLP (Findings) 2022: 438-452
[c68]
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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]
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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]
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  - journals/corr/abs-2202-11748
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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]
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  - journals/corr/abs-2204-09108
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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]
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  - journals/corr/abs-2209-04693
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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]
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  - journals/corr/abs-2212-13558
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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]
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  - conf/cikm/PersonnazABFS21
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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
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Sihem Amer-Yahia, Laure Berti-Équille, Abdelouahab Chibah:
A Framework for Statistically-Sound Customer Segment Search. DSAA 2021: 1-10
[c64]
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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]
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Abdelouahab Chibah, Sihem Amer-Yahia, Laure Berti-Équille:
QeNoBi: A System for QuErying and mining BehavIoral Patterns. ICDE 2021: 2673-2676
[c62]
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  - conf/kdd/Berti-EquilleDE21
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Laure Berti-Équille, David Dao, Stefano Ermon, Bedharta Goswami:
Challenges in KDD and ML for Sustainable Development. KDD 2021: 4031-4032
[c61]
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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]
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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]
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  - journals/corr/abs-2112-09011
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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]
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  - conf/cidr/Berti-Equille20
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Laure Berti-Équille:
Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop. CIDR 2020
[c58]
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Ugo Comignani, Noël Novelli, Laure Berti-Équille:
Data Quality Checking for Machine Learning with MeSQuaL. EDBT 2020: 591-594
[c57]
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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]
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  - journals/corr/abs-2012-06237
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Ugo Comignani, Laure Berti-Équille, Noël Novelli:
Discovering Multi-Table Functional Dependencies Without Full Join Computation. CoRR abs/2012.06237 (2020)

2010 – 2019

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2019
[c56]
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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
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Laure Berti-Équille:
Reinforcement Learning for Data Preparation with Active Reward Learning. INSCI 2019: 121-132
[c54]
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Laure Berti-Équille:
ML-Based Knowledge Graph Curation: Current Solutions and Challenges. WWW (Companion Volume) 2019: 938-939
[c53]
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Laure Berti-Équille:
Learn2Clean: Optimizing the Sequence of Tasks for Web Data Preparation. WWW 2019: 2580-2586
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Laure Berti-Équille:
Truth Discovery. Encyclopedia of Big Data Technologies 2019
[i5]
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  - journals/corr/abs-1907-13276
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Laure Berti-Équille, Ji Meng Loh, Saravanan Thirumuruganathan:
Are Outlier Detection Methods Resilient to Sampling? CoRR abs/1907.13276 (2019)
2018
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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]
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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)
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Laure Berti-Équille, Angela Bonifati, Tova Milo:
Machine Learning to Data Management: A Round Trip. ICDE 2018: 1735-1738
2017
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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)
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Laure Berti-Équille, Yury Zhauniarovich:
Profiling DRDoS Attacks with Data Analytics Pipeline. CIKM 2017: 1983-1986
[c50]
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  - conf/dexaw/BalderasBHG17
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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]
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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
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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
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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]
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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)
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Raghvendra Mall, Laure Berti-Équille, Halima Bensmail:
Metabolomic Data Profiling for Diabetes Research in Qatar. DEXA Workshops 2016: 39-43
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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]
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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
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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]
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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
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Laure Berti-Équille:
Scaling up truth discovery. ICDE 2016: 1418-1419
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Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Younès Bennani, Laure Berti-Équille:
Towards Ontology Reasoning for Topological Cluster Labeling. ICONIP (3) 2016: 156-164
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Andres Troya-Galvis, Pierre Gançarski, Laure Berti-Équille:
Collaborative segmentation and classification for remote sensing image analysis. ICPR 2016: 829-834
[c38]
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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
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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
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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]
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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
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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
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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)
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Laure Berti-Équille, Ji Meng Loh, Tamraparni Dasu:
A masking index for quantifying hidden glitches. Knowl. Inf. Syst. 44(2): 253-277 (2015)
[j18]
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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)
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Laure Berti-Équille:
Data veracity estimation with ensembling truth discovery methods. IEEE BigData 2015: 2628-2636
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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
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Ismael Caballero, Laure Berti-Équille, Mario Piattini:
Towards Principled Data Science Assessment - The Personal Data Science Process (PdsP). ICEIS (1) 2015: 374-378
[i3]
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Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava:
Data Fusion: Resolving Conflicts from Multiple Sources. CoRR abs/1503.00310 (2015)
2014
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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]
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Dalia Attia Waguih, Laure Berti-Équille:
Truth Discovery Algorithms: An Experimental Evaluation. CoRR abs/1409.6428 (2014)
2013
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Laure Berti-Équille, Ji Meng Loh, Tamraparni Dasu:
A Masking Index for Quantifying Hidden Glitches. ICDM 2013: 21-30
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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
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Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava:
Data Fusion: Resolving Conflicts from Multiple Sources. WAIM 2013: 64-76
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Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava:
Data Fusion: Resolving Conflicts from Multiple Sources. Handbook of Data Quality 2013: 293-318
2012
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Laure Berti-Équille:
Multi-Scale Data Integration Challenges in the Observational Science Data Space. it Inf. Technol. 54(3): 123-129 (2012)
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Noël Novelli, Laure Berti-Équille, Christophe Hurter:
ADVISU: Interactive Visualization of Anomalies and Dependencies from Massive Scientific Datasets. EGC 2012: 613-616
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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]
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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
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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)
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Laure Berti-Équille, Tamraparni Dasu, Divesh Srivastava:
Discovery of complex glitch patterns: A novel approach to Quantitative Data Cleaning. ICDE 2011: 733-744
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César Guerra-García, Ismael Caballero, Laure Berti-Équille, Mario Piattini:
DAQ_UWE: A framework for designing data quality aware web applications. ICIQ 2011
2010
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Isabelle Comyn-Wattiau, Jacky Akoka, Laure Berti-Équille:
La qualité des systèmes d'information. Ingénierie des Systèmes d Inf. 15(6): 9-32 (2010)
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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)
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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)
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Xin Dong, Laure Berti-Équille, Yifan Hu, Divesh Srivastava:
SOLOMON: Seeking the Truth Via Copying Detection. Proc. VLDB Endow. 3(2): 1617-1620 (2010)
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Bernd Amann, Laure Berti-Équille, Zoé Lacroix, Maria-Esther Vidal:
Challenges of Quality-Driven Resource Discovery. RED 2010: 181-189

2000 – 2009

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2009
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Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava:
Integrating Conflicting Data: The Role of Source Dependence. Proc. VLDB Endow. 2(1): 550-561 (2009)
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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]
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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]
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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]
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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]
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Laure Berti-Équille:
Tracing Data Pollution in Large Business Applications. ICIQ 2008: 356-366
[c22]
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Laure Berti-Équille:
Measuring and Constraining Data Quality with Analytic Workflows. QDB/MUD 2008: 103-112
2007
[b1]
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Laure Berti-Équille:
Quality Awareness for Managing and Mining Data. University of Rennes 1, France, 2007
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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)
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Laure Berti-Équille:
Data quality awareness: a case study for cost optimal association rule mining. Knowl. Inf. Syst. 11(2): 191-215 (2007)
[c21]
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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
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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
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Laure Berti-Équille:
Measuring and Modelling Data Quality for Quality-Awareness in Data Mining. Quality Measures in Data Mining 2007: 101-126
2006
[j6]
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Laure Berti-Équille:
Contributions to Quality-Aware Online Query Processing. IEEE Data Eng. Bull. 29(2): 32-42 (2006)
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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]
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Laure Berti-Équille:
Modèle décisionnel basé sur la qualité des données pour sélectionner les règles d'associations légitimement intéressantes. EGC 2006: 593-598
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Laure Berti-Équille:
Quality-Aware Association Rule Mining. PAKDD 2006: 440-449
2005
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Anicet Kouomou Choupo, Laure Berti-Équille, Annie Morin:
Optimizing Progressive Query-By-Example over Pre-Clustered Large Image Databases. BDA 2005
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Anicet Kouomou Choupo, Laure Berti-Équille, Annie Morin:
Optimizing progressive query-by-example over pre-clustered large image databases. CVDB 2005: 13-20
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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]
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Laure Berti-Équille:
Nettoyage des données XML : combien ça coûte ? EGC (Ateliers) 2005: 379-384
[c13]
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Laure Berti-Équille, Fouzia Moussouni:
Quality-Aware Integration and Warehousing of Genomic Data. ICIQ 2005
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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
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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
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Laure Berti-Équille:
Un état de l'art sur la qualité des données. Ingénierie des Systèmes d Inf. 9(5-6): 117-143 (2004)
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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
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Anicet Kouomou Choupo, Laure Berti-Équille, Annie Morin:
Multimedia indexing and retrieval with features association rules mining. ICME 2004: 1299-1302
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Laure Berti-Équille:
Quality-Adaptive Query Processing Over Distributed Sources. ICIQ 2004: 285-296
2003
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Laure Berti-Équille:
Quality-Based Recommendation of XML Documents. J. Digit. Inf. Manag. 1(3): 117-128 (2003)
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Laure Berti-Équille:
Renseigner la qualité des connaissances par la fusion d'indicateurs sur la qualité des données. EGC 2003: 263-269
2002
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Laure Berti-Équille:
Annotation et recommandation collaboratives de documents selon leur qualité. Ingénierie des Systèmes d Inf. 7(1-2): 125-155 (2002)
2001
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Laure Berti-Équille, Fouzia Moussouni, Anne Arcade:
Integration of biological data on transcriptome. Ingénierie des Systèmes d Inf. 6(3): 61-86 (2001)
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Laure Berti-Équille:
Integration of Biological Data and Quality-Driven Source Negotiation. ER 2001: 256-269

1990 – 1999

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1999
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Laure Berti:
Quality and Recommendation of Multi-source Data for Assisting Technological Intelligence Applications. DEXA 1999: 282-291
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Laure Berti:
Qualité de données multi-sources et recommandation multi-critères. INFORSID 1999: 185-204
1998
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Laure Berti, Jean-Luc Damoiseaux, Elisabeth Murisasco:
Combining the Power of Query Languages and Search Engines for On-line Document and Information Retrieval : The QIRi@D Environment. PODDP 1998: 116-127
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Laure Berti:
From Data Source Quality to Information Quality: The Relative Dimension. IQ 1998: 247-264
1997
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Laure Berti:
Merging an Active Database and a Reflective System: Modelling a New Several Active Meta-Levels Architecture (Abstract). BNCOD 1997: 119-120
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Laure Berti:
Out of Overinformation by Information Filtering and Information Quality Weighting. IQ 1997: 187-193

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