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.