Laure Berti-Équille

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 62

Top Venues

Publications

Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data. CoRR (2024)
Sarah Alnegheimish, Linh Nguyen, Laure Berti-Équille, Kalyan Veeramachaneni
Large language models can be zero-shot anomaly detectors for time series? CoRR (2024)
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 (2024)
Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-Équille, Di Wang
Faithful Vision-Language Interpretation via Concept Bottleneck Models. ICLR (2024)
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 (2024)
Sarah Alnegheimish, Laure Berti-Équille, Kalyan Veeramachaneni
Making the End-User a Priority in Benchmarking: OrionBench for Unsupervised Time Series Anomaly Detection. CoRR (2023)
Grigor Bezirganyan, Sana Sellami, Laure Berti-Équille, Sébastien Fournier
M2-Mixer: A Multimodal Mixer with Multi-head Loss for Classification from Multimodal Data. BigData (2023)
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) (2023)
Laure Berti-Équille, Rafael L. G. Raimundo
Discovering Transition Pathways Towards Coviability with Machine Learning. CoRR (2023)
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)
Alexandra Zytek, Wei-En Wang, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni
Pyreal: A Framework for Interpretable ML Explanations. CoRR (2023)
Ugo Comignani, Laure Berti-Équille, Noël Novelli, Angela Bonifati
Provenance-aware Discovery of Functional Dependencies on Integrated Views. ICDE (2022)
Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Équille, Kalyan Veeramachaneni
Sintel: A Machine Learning Framework to Extract Insights from Signals. CoRR (2022)
Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni
The Need for Interpretable Features: Motivation and Taxonomy. CoRR (2022)
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)
Lei Xu, Laure Berti-Équille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni
In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers. ICONIP (3) (2022)
Lei Xu, Alfredo Cuesta-Infante, Laure Berti-Équille, Kalyan Veeramachaneni
R&R: Metric-guided Adversarial Sentence Generation. AACL/IJCNLP (Findings) (2022)
Alexandra Zytek, Ignacio Arnaldo, Dongyu Liu, Laure Berti-Équille, Kalyan Veeramachaneni
The Need for Interpretable Features: Motivation and Taxonomy. SIGKDD Explor. 24 (1) (2022)
Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-Équille, Kalyan Veeramachaneni
Sintel: A Machine Learning Framework to Extract Insights from Signals. SIGMOD Conference (2022)
Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni
AER: Auto-Encoder with Regression for Time Series Anomaly Detection. CoRR (2022)
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)
Lawrence Wong, Dongyu Liu, Laure Berti-Équille, Sarah Alnegheimish, Kalyan Veeramachaneni
AER: Auto-Encoder with Regression for Time Series Anomaly Detection. Big Data (2022)
Reshmi Ghosh, Michael Craig, H. Scott Matthews, Constantine Samaras, Laure Berti-Équille
Reconstruction of Long-Term Historical Demand Data. CoRR (2022)
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)
Sihem Amer-Yahia, Laure Berti-Équille, Abdelouahab Chibah
A Framework for Statistically-Sound Customer Segment Search. DSAA (2021)
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)
Laure Berti-Équille, David Dao, Stefano Ermon, Bedharta Goswami
Challenges in KDD and ML for Sustainable Development. KDD (2021)
Abdelouahab Chibah, Sihem Amer-Yahia, Laure Berti-Équille
QeNoBi: A System for QuErying and mining BehavIoral Patterns. ICDE (2021)
Ugo Comignani, Laure Berti-Équille, Noël Novelli, Angela Bonifati
Provenance-aware Discovery of Functional Dependencies on Integrated Views. CoRR (2021)
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)
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)
Laure Berti-Équille
Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop. CIDR (2020)
Ugo Comignani, Noël Novelli, Laure Berti-Équille
Data Quality Checking for Machine Learning with MeSQuaL. EDBT (2020)
Ugo Comignani, Laure Berti-Équille, Noël Novelli
Discovering Multi-Table Functional Dependencies Without Full Join Computation. CoRR (2020)
Robin Jarry, Marc Chaumont, Laure Berti-Équille, Gérard Subsol
Assessment of CNN-Based Methods for Poverty Estimation from Satellite Images. ICPR Workshops (7) (2020)
Laure Berti-Équille
ML-Based Knowledge Graph Curation: Current Solutions and Challenges. WWW (Companion Volume) (2019)
Laure Berti-Équille
Learn2Clean: Optimizing the Sequence of Tasks for Web Data Preparation. WWW (2019)
Laure Berti-Équille, Hazar Harmouch, Felix Naumann, Noël Novelli, Saravanan Thirumuruganathan
Discovery of Genuine Functional Dependencies from Relational Data with Missing Values. INFORSID (2019)
Laure Berti-Équille, Ji Meng Loh, Saravanan Thirumuruganathan
Are Outlier Detection Methods Resilient to Sampling? CoRR (2019)
Laure Berti-Équille
Reinforcement Learning for Data Preparation with Active Reward Learning. INSCI (2019)
Laure Berti-Équille, Angela Bonifati, Tova Milo
Machine Learning to Data Management: A Round Trip. ICDE (2018)
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) (2018)
Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
Remote sensing image analysis by aggregation of segmentation-classification collaborative agents. Pattern Recognit. 73 (2018)
Laure Berti-Équille, Yury Zhauniarovich
Profiling DRDoS Attacks with Data Analytics Pipeline. CIKM (2017)
Saravanan Thirumuruganathan, Laure Berti-Équille, Mourad Ouzzani, Jorge-Arnulfo Quiané-Ruiz, Nan Tang
UGuide: User-Guided Discovery of FD-Detectable Errors. SIGMOD Conference (2017)
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) (2017)
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)
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)
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)
Andrés Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
Un cadre collaboratif pour la segmentation et la classification d'images de télédétection. EGC (2016)
Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Younès Bennani, Laure Berti-Équille
Towards Ontology Reasoning for Topological Cluster Labeling. ICONIP (3) (2016)
Laure Berti-Équille
Scaling up truth discovery. ICDE (2016)
Raghvendra Mall, Laure Berti-Équille, Halima Bensmail
Metabolomic Data Profiling for Diabetes Research in Qatar. DEXA Workshops (2016)
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)
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)
Sofiane Abbar, Tahar Zanouda, Laure Berti-Équille, Javier Borge-Holthoefer
Using Twitter to Understand Public Interest in Climate Change: The case of Qatar. CoRR (2016)
Laure Berti-Équille, Mouhamadou Lamine Ba
Veracity of Big Data: Challenges of Cross-Modal Truth Discovery. ACM J. Data Inf. Qual. 7 (3) (2016)
Mouhamadou Lamine Ba, Laure Berti-Équille, Kushal Shah, Hossam M. Hammady
VERA: A Platform for Veracity Estimation over Web Data. WWW (Companion Volume) (2016)
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)
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)
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)
Andres Troya-Galvis, Pierre Gançarski, Laure Berti-Équille
Collaborative segmentation and classification for remote sensing image analysis. ICPR (2016)
Laure Berti-Équille
Data veracity estimation with ensembling truth discovery methods. IEEE BigData (2015)
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 (2015)
Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
Data Fusion: Resolving Conflicts from Multiple Sources. CoRR (2015)
Laure Berti-Équille, Ji Meng Loh, Tamraparni Dasu
A masking index for quantifying hidden glitches. Knowl. Inf. Syst. 44 (2) (2015)
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) (2015)
Ismael Caballero, Laure Berti-Équille, Mario Piattini
Towards Principled Data Science Assessment - The Personal Data Science Process (PdsP). ICEIS (1) (2015)
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)
Dalia Attia Waguih, Laure Berti-Équille
Truth Discovery Algorithms: An Experimental Evaluation. CoRR (2014)
Amrapali Zaveri, Andrea Maurino, Laure Berti-Équille
Web Data Quality: Current State and New Challenges. Int. J. Semantic Web Inf. Syst. 10 (2) (2014)
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)
Laure Berti-Équille, Ji Meng Loh, Tamraparni Dasu
A Masking Index for Quantifying Hidden Glitches. ICDM (2013)
Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
Data Fusion: Resolving Conflicts from Multiple Sources. WAIM (2013)
Noël Novelli, Laure Berti-Équille, Christophe Hurter
ADVISU: Interactive Visualization of Anomalies and Dependencies from Massive Scientific Datasets. EGC (2012)
Laure Berti-Équille
Multi-Scale Data Integration Challenges in the Observational Science Data Space. it Inf. Technol. 54 (3) (2012)
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) (2011)
Laure Berti-Équille, Tamraparni Dasu, Divesh Srivastava
Discovery of complex glitch patterns: A novel approach to Quantitative Data Cleaning. ICDE (2011)
César Guerra-García, Ismael Caballero, Laure Berti-Équille, Mario Piattini
DAQ_UWE: A framework for designing data quality aware web applications. ICIQ (2011)
Isabelle Comyn-Wattiau, Jacky Akoka, Laure Berti-Équille
La qualité des systèmes d'information. Ingénierie des Systèmes d Inf. 15 (6) (2010)
Xin Dong, Laure Berti-Équille, Yifan Hu, Divesh Srivastava
SOLOMON: Seeking the Truth Via Copying Detection. Proc. VLDB Endow. 3 (2) (2010)
Minji Wu, Laure Berti-Équille, Amélie Marian, Cecilia M. Procopiuc, Divesh Srivastava
Processing Top-k Join Queries. Proc. VLDB Endow. 3 (1) (2010)
Bernd Amann, Laure Berti-Équille, Zoé Lacroix, Maria-Esther Vidal
Challenges of Quality-Driven Resource Discovery. RED (2010)
Xin Dong, Laure Berti-Équille, Yifan Hu, Divesh Srivastava
Global Detection of Complex Copying Relationships Between Sources. Proc. VLDB Endow. 3 (1) (2010)
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 (2009)
Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
Integrating Conflicting Data: The Role of Source Dependence. Proc. VLDB Endow. 2 (1) (2009)
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)
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)
Xin Luna Dong, Laure Berti-Équille, Divesh Srivastava
Truth Discovery and Copying Detection in a Dynamic World. Proc. VLDB Endow. 2 (1) (2009)
Laure Berti-Équille
Measuring and Constraining Data Quality with Analytic Workflows. QDB/MUD (2008)
Laure Berti-Équille
Tracing Data Pollution in Large Business Applications. ICIQ (2008)
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)
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) (2007)
Laure Berti-Équille
Data quality awareness: a case study for cost optimal association rule mining. Knowl. Inf. Syst. 11 (2) (2007)
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)
Laure Berti-Équille
Modèle décisionnel basé sur la qualité des données pour sélectionner les règles d'associations légitimement intéressantes. EGC (2006)
Laure Berti-Équille
Contributions to Quality-Aware Online Query Processing. IEEE Data Eng. Bull. 29 (2) (2006)
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) (2006)
Laure Berti-Équille
Quality-Aware Association Rule Mining. PAKDD (2006)
Laure Berti-Équille
Nettoyage des données XML : combien ça coûte ? EGC (Ateliers) (2005)

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Publication Activity (10 Years)

Top Topics

Top Venues

Laure Berti-Équille