In my whole career, I’ve never seen so many research works coming thru and being accepted for publication at the same time! Thanks to all, PhD students, postdoctoral fellows and colleagues.

• A. Azri, C. Favre, N. Harbi, J. Darmont, C. Nous, « Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs », European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Bilbao, Spain, September 2021.
• P.N. Sawadogo, J. Darmont, C. Nous, « Benchmarking Data Lakes Featuring Structured and Unstructured Data with DLBench », 23rd International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2021), Linz, Austria, September 2021; Lecture Notes in Computer Science, Springer, Heidelberg, Germany.
• Y. Yang, F. Abdelhedi, J. Darmont, F. Ravat, O. Teste, « Internal Data Imputation in Data Warehouse Dimensions », 32nd International Conference on Database and Expert Systems Applications (DEXA 2021), Linz, Austria, September 2021; Lecture Notes in Computer Science, Springer, Heidelberg, Germany.
• P. Liu, S. Loudcher, J. Darmont, C. Nous, « ArchaeoDAL: A Data Lake for Archaeological Data Management and Analytics », 25th International Database Engineering and Applications Symposium (IDEAS 2021), Montreal, Canada, July 2021.
• Y. Yang, J. Darmont, F. Ravat, O. Teste, « An Automatic Schema-Instance Approachfor Merging Multidimensional Data Warehouses », 25th International Database Engineering and Applications Symposium (IDEAS 2021), Montreal, Canada, July 2021.

De toute ma carrière, je n’ai jamais vu autant de travaux arriver à maturité et être acceptés pour publication en même temps ! Merci à tou·tes les doctorant·es, postdoctorant·es et collègues.

• A. Azri, C. Favre, N. Harbi, J. Darmont, C. Nous, « Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs », European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2021), Bilbao, Spain, September 2021.
• P.N. Sawadogo, J. Darmont, C. Nous, « Benchmarking Data Lakes Featuring Structured and Unstructured Data with DLBench », 23rd International Conference on Big Data Analytics and Knowledge Discovery (DaWaK 2021), Linz, Austria, September 2021; Lecture Notes in Computer Science, Springer, Heidelberg, Germany.
• Y. Yang, F. Abdelhedi, J. Darmont, F. Ravat, O. Teste, « Internal Data Imputation in Data Warehouse Dimensions », 32nd International Conference on Database and Expert Systems Applications (DEXA 2021), Linz, Austria, September 2021; Lecture Notes in Computer Science, Springer, Heidelberg, Germany.
• P. Liu, S. Loudcher, J. Darmont, C. Nous, « ArchaeoDAL: A Data Lake for Archaeological Data Management and Analytics », 25th International Database Engineering and Applications Symposium (IDEAS 2021), Montreal, Canada, July 2021.
• Y. Yang, J. Darmont, F. Ravat, O. Teste, « An Automatic Schema-Instance Approachfor Merging Multidimensional Data Warehouses », 25th International Database Engineering and Applications Symposium (IDEAS 2021), Montreal, Canada, July 2021.

• P.N. Sawadogo, J. Darmont, C. Nous, « Joint Management and Analysis of Textual Documents and Tabular Data within the AUDAL Data Lake », 25th European Conference on Advances in Databases and Information Systems (ADBIS 2021), Tartu, Estonia, August 2021
• A. Azri, C. Favre, N. Harbi, J. Darmont, C. Nous, « MONITOR: A Multimodal Fusion Framework to Assess Message Veracity in Social Networks », 25th European Conference on Advances in Databases and Information Systems (ADBIS 2021), Tartu, Estonia, August 2021