| 2025 | AISTATS | Multimodal Learning with Uncertainty Quantification based on Discounted Belief Fusion. | Grigor Bezirganyan, Sana Sellami, Laure Berti-quille, Sbastien Fournier |
| 2025 | SIGIR | LUMA: A Benchmark Dataset for Learning from Uncertain and Multimodal Data. | Grigor Bezirganyan, Sana Sellami, Laure Berti-quille, Sbastien Fournier |
| 2024 | BMVC | Predicting Socio-economic Indicator Variations with Satellite Image Time Series and Transformer. | Robin Jarry, Marc Chaumont, Laure Berti-quille, Grard Subsol |
| 2024 | DSAA | Can Large Language Models be Anomaly Detectors for Time Series? | Sarah Alnegheimish, Linh Nguyen, Laure Berti-quille, Kalyan Veeramachaneni |
| 2024 | ICLR | Faithful Vision-Language Interpretation via Concept Bottleneck Models. | Songning Lai, Lijie Hu, Junxiao Wang, Laure Berti-quille, Di Wang |
| 2023 | IGARSS | Comparing Spatial and Spatio-Temporal Paradigms to Estimate The Evolution of Socio-Economical Indicators from Satellite Images. | Robin Jarry, Marc Chaumont, Laure Berti-quille, Grard Subsol |
| 2022 | ICDE | Provenance-aware Discovery of Functional Dependencies on Integrated Views. | Ugo Comignani, Laure Berti-quille, Nol Novelli, Angela Bonifati |
| 2022 | ICONIP | In Situ Augmentation for Defending Against Adversarial Attacks on Text Classifiers. | Lei Xu, Laure Berti-quille, Alfredo Cuesta-Infante, Kalyan Veeramachaneni |
| 2022 | IJCNLP | R&R: Metric-guided Adversarial Sentence Generation. | Lei Xu, Alfredo Cuesta-Infante, Laure Berti-quille, Kalyan Veeramachaneni |
| 2022 | KDD | Advances in Exploratory Data Analysis, Visualisation and Quality for Data Centric AI Systems. | Hima Patel, Shanmukha C. Guttula, Ruhi Sharma Mittal, Naresh Manwani, Laure Berti-quille, Abhijit Manatkar |
| 2022 | SIGMOD | Sintel: A Machine Learning Framework to Extract Insights from Signals. | Sarah Alnegheimish, Dongyu Liu, Carles Sala, Laure Berti-quille, Kalyan Veeramachaneni |
| 2021 | CIKM | DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning. | Aurlien Personnaz, Sihem Amer-Yahia, Laure Berti-quille, Maximilian Fabricius, Srividya Subramanian |
| 2021 | DSAA | A Framework for Statistically-Sound Customer Segment Search. | Sihem Amer-Yahia, Laure Berti-quille, Abdelouahab Chibah |
| 2021 | ICDE | QeNoBi: A System for QuErying and mining BehavIoral Patterns. | Abdelouahab Chibah, Sihem Amer-Yahia, Laure Berti-quille |
| 2021 | KDD | Challenges in KDD and ML for Sustainable Development. | Laure Berti-quille, David Dao, Stefano Ermon, Bedharta Goswami |
| 2021 | KDD | 2nd International Workshop on Data Quality Assessment for Machine Learning. | Hima Patel, Fuyuki Ishikawa, Laure Berti-quille, Nitin Gupta, Sameep Mehta, Satoshi Masuda, Shashank Mujumdar, Shazia Afzal, Srikanta Bedathur, Yasuharu Nishi |
| 2021 | SIGMOD | Balancing Familiarity and Curiosity in Data Exploration with Deep Reinforcement Learning. | Aurlien Personnaz, Sihem Amer-Yahia, Laure Berti-quille, Maximilian Fabricius, Srividya Subramanian |
| 2020 | CIDR | Active Reinforcement Learning for Data Preparation: Learn2Clean with Human-In-The-Loop. | Laure Berti-quille |
| 2020 | EDBT | Data Quality Checking for Machine Learning with MeSQuaL. | Ugo Comignani, Nol Novelli, Laure Berti-quille |
| 2020 | ICPR | Assessment of CNN-Based Methods for Poverty Estimation from Satellite Images. | Robin Jarry, Marc Chaumont, Laure Berti-quille, Grard Subsol |
| 2019 | WWW | Learn2Clean: Optimizing the Sequence of Tasks for Web Data Preparation. | Laure Berti-quille |
| 2019 | WWW | ML-Based Knowledge Graph Curation: Current Solutions and Challenges. | Laure Berti-quille |
| 2018 | ICDE | Machine Learning to Data Management: A Round Trip. | Laure Berti-quille, Angela Bonifati, Tova Milo |
| 2017 | CIKM | Profiling DRDoS Attacks with Data Analytics Pipeline. | Laure Berti-quille, Yury Zhauniarovich |
| 2017 | SIGMOD | UGuide: User-Guided Discovery of FD-Detectable Errors. | Saravanan Thirumuruganathan, Laure Berti-quille, Mourad Ouzzani, Jorge-Arnulfo Quian-Ruiz, Nan Tang |
| 2016 | DSAA | On the Use of Ontology as A Priori Knowledge into Constrained Clustering. | Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Laure Berti-quille, Youns Bennani |
| 2016 | ICDE | Scaling up truth discovery. | Laure Berti-quille |
| 2016 | ICONIP | Towards Ontology Reasoning for Topological Cluster Labeling. | Hatim Chahdi, Nistor Grozavu, Isabelle Mougenot, Youns Bennani, Laure Berti-quille |
| 2016 | ICPR | Collaborative segmentation and classification for remote sensing image analysis. | Andres Troya-Galvis, Pierre Ganarski, Laure Berti-quille |
| 2016 | ICWSM | Using Twitter to Understand Public Interest in Climate Change: The Case of Qatar. | Sofiane Abbar, Tahar Zanouda, Laure Berti-quille, Javier Borge-Holthoefer |
| 2016 | WWW | VERA: A Platform for Veracity Estimation over Web Data. | Mouhamadou Lamine Ba, Laure Berti-quille, Kushal Shah, Hossam M. Hammady |
| 2016 | SIGMOD | Rheem: Enabling Multi-Platform Task Execution. | Divy Agrawal, Mouhamadou Lamine Ba, Laure Berti-quille, Sanjay Chawla, Ahmed K. Elmagarmid, Hossam Hammady, Yasser Idris, Zoi Kaoudi, Zuhair Khayyat, Sebastian Kruse, Mourad Ouzzani, Paolo Papotti, Jorge-Arnulfo Quian-Ruiz, Nan Tang, Mohammed J. Zaki |
| 2015 | ICDE | AllegatorTrack: Combining and reporting results of truth discovery from multi-source data. | Dalia Attia Waguih, Naman Goel, Hossam M. Hammady, Laure Berti-quille |
| 2013 | ICDM | A Masking Index for Quantifying Hidden Glitches. | Laure Berti-quille, Ji Meng Loh, Tamraparni Dasu |
| 2013 | SIGMOD | Don't be SCAREd: use SCalable Automatic REpairing with maximal likelihood and bounded changes. | Mohamed Yakout, Laure Berti-quille, Ahmed K. Elmagarmid |
| 2011 | ICDE | Discovery of complex glitch patterns: A novel approach to Quantitative Data Cleaning. | Laure Berti-quille, Tamraparni Dasu, Divesh Srivastava |
| 2009 | CIDR | Sailing the Information Ocean with Awareness of Currents: Discovery and Application of Source Dependence. | Laure Berti-quille, Anish Das Sarma, Xin Dong, Amlie Marian, Divesh Srivastava |
| 2007 | WISE | QDex: A Database Profiler for Generic Bio-data Exploration and Quality Aware Integration. | Fouzia Moussouni, Laure Berti-quille, G. Roz, Olivier Loral, Emilie Gurin |
| 2006 | PAKDD | Quality-Aware Association Rule Mining. | Laure Berti-quille |
| 2005 | ISM | Enriching Multimedia Content Description for Broadcast Environments: From a Unified Metadata Model to a New Generation of Authoring Tool. | Boris Rousseau, Laure Berti-quille, Wilfried Jouve |
| 2001 | ER | Integration of Biological Data and Quality-Driven Source Negotiation. | Laure Berti-quille |