| Équipes actuelles : | ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL |
| Publications BD | 2023 | 2024 | 2025 | Total |
|---|---|---|---|---|
| Livres | 0 | 0 | 0 | 0 |
| Éditions de livres | 0 | 0 | 0 | 0 |
| Articles de revues | 2 | 1 | 0 | 3 |
| Chapitres de livres | 0 | 2 | 0 | 2 |
| Conférences | 6 | 6 | 0 | 12 |
| Habilitations | 0 | 0 | 0 | 0 |
| Soutenances de thèse | 0 | 1 | 0 | 1 |
- M.‑A. Baazizi, D. Colazzo, G. Ghelli, C. Sartiani : “A Type System for Interactive JSON Schema Inference (Extended Abstract)”, 46th International Colloquium on Automata, Languages, and Programming (ICALP 2019), vol. 132, Leibniz International Proceedings in Informatics (LIPIcs), Patras, Greece, pp. 101:1-101:13, (Schloss Dagstuhl--Leibniz-Zentrum fuer Informatik) [Baazizi 2019a]
- M.‑A. Baazizi, D. Colazzo, G. Ghelli, C. Sartiani : “Schemas And Types For JSON Data”, 22nd International Conference on Extending Database Technology (EDBT 2019) Proceedings, Lisbon, Portugal, pp. 437-439 [Baazizi 2019c]
- M.‑A. Baazizi, D. Colazzo, G. Ghelli, C. Sartiani : “Schemas and Types for JSON Data: From Theory to Practice”, SIGMOD '19 Proceedings of the 2019 International Conference on Management of Data, Amsterdam, Netherlands, pp. 2060-2063, (ACM) [Baazizi 2019d]
- P. Bordes, É. Zablocki, L. Soulier, B. Piwowarski : “Un modèle multimodal d’apprentissage de représentations de phrases qui préserve la sémantique visuelle”, COnférence en Recherche d'Informations et Applications, COnférence en Recherche d'Informations et Applications - CORIA 2019, 16th French Information Retrieval Conference. Lyon, France, May 25-29, 2019. Proceedings, Lyon, France [Bordes 2019a]
- P. Bordes, É. Zablocki, L. Soulier, B. Piwowarski, P. Gallinari : “Incorporating Visual Semantics into Sentence Representations within a Grounded Space”, 2019 Conference on Empirical Methods in Natural Language Processing and 9th International Joint Conference on Natural Language Processing, Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), Hong Kong, China, pp. 696-707, (Association for Computational Linguistics) [Bordes 2019b]
- C. Constantin, C. Du Mouza, Y. Li : “A Label-based Edge Partitioning for Multi-Layer Graphs”, 52nd Hawaii International Conference on System Sciences (HICSS 2019), Maui, Hawaii, United States, pp. 2216-2225, (HICSS) [Constantin 2019]
- O. Curé, W. Xu, H. Naacke, Ph. Calvez : “Extending LiteMat toward RDFS++”, KGB-LASCAR 2019 - Knowledge Graph Building and Large Scale RDF Analytics, vol. 2489, CEUR Workshop Proceedings, Portoroz, Slovenia, pp. 54-64, (ceur-ws.org) [Curé 2019]
- F.‑Z. Hannou, B. Amann, M.‑A. Baazizi : “Explaining Query Answer Completeness and Correctness with Partition Patterns”, 30th International Conference on Database and Expert Systems Applications - DEXA 2019, vol. 11707, Lecture Notes in Computer Science, Linz, Austria, pp. 47-62 [Hannou 2019b]
- F.‑Z. Hannou, B. Amann, M.‑A. Baazizi : “Exploring and Comparing Table Fragments With Fragment Summaries”, Eleventh International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA), Athènes, Greece, pp. 31-38, (IARIA) [Hannou 2019c]
- F.‑Z. Hannou, B. Amann, M.‑A. Baazizi : “Query-Oriented Answer Imputation for Aggregate Queries”, Advances in Databases and Information Systems - 23rd European Conference, ADBIS 2019, vol. 11695, Lecture Notes in Computer Science, Bled, Slovenia, pp. 302-318, (Springer) [Hannou 2019d]
- R. Liu, E. Simon, B. Amann, S. Gançarski : “Augmenting Analytic Datasets Using Natural and Aggregate-based Schema Complements”, Post-actes BDA 2019 -Gestion de Données Principes Technologies et Applications, Lyon, France [Liu 2019]
- H. Naacke, K. Li, B. Amann, O. Curé : “Efficient similarity-based alignment of temporally-situated graph nodes with Apache Spark”, IEEE International Conference on Big Data, High Performance Big Graph Data Management, Analysis, and Mining, Los Angeles, CA, United States, pp. 4793-4798, (IEEE), (ISBN: 978-1-7281-0858-2) [Naacke 2019]
- Th. Scialom, B. Piwowarski, J. Staiano : “Architecture basée sur les mécanismes d'attention: le cas de la génération de questions neuronales”, COnférence en Recherche d'Informations et Applications - CORIA 2019, 16th French Information Retrieval Conference, COnférence en Recherche d'Informations et Applications - CORIA 2019, 16th French Information Retrieval Conference. Lyon, France, May 25-29, 2019. Proceedings, Lyon, France [Scialom 2019a]
- Th. Scialom, B. Piwowarski, J. Staiano : “Self-Attention Architectures for Answer-Agnostic Neural Question Generation”, ACL 2019 - Annual Meeting of the Association for Computational Linguistics, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, pp. 6027-6032, (Association for Computational Linguistics) [Scialom 2019b]
- Th. Scialom, S. Lamprier, B. Piwowarski, J. Staiano : “Answers Unite! Unsupervised Metrics for Reinforced Summarization Models”, 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), ACL Anthology, Hong Kong, China, pp. 3237-3247, (Association for Computational Linguistics) [Scialom 2019c]
- É. Simon, V. Guigue, B. Piwowarski : “Extraction d'information non supervisée avec des modèles discriminants”, CAp 2019 - 21ème Conférence sur l'Apprentissage automatique, Toulouse, France [Simon 2019a]
- É. Simon, V. Guigue, B. Piwowarski : “Unsupervised Information Extraction: Regularizing Discriminative Approaches with Relation Distribution Losses”, Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, Florence, Italy, pp. 1378-1387, (Association for Computational Linguistics) [Simon 2019b]