activity
20212023
most citedRumor Classification through a Multimodal Fusion Framework and Ensemble Learning

24 citations · 61 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CV2023★ 24 cited

Rumor Classification through a Multimodal Fusion Framework and Ensemble Learning

Abderrazek Azri, Cécile Favre, Nouria Harbi +2

The proliferation of rumors on social media has become a major concern due to its ability to create a devastating impact. Manually assessing the veracity of social media messages i…

cs.DM2022

Some Notes on Polyadic Concept Analysis

Alexandre Bazin, Giacomo Kahn, Camille Noûs

Despite the popularity of Formal Concept Analysis (FCA) as a mathematical framework for data analysis, some of its extensions are still considered arcane. Polyadic Concept Analysis…

cs.CL2021★ 17 cited

Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs

Abderrazek Azri, Cécile Favre, Nouria Harbi +2

Reputed by their low-cost, easy-access, real-time and valuable information, social media also wildly spread unverified or fake news. Rumors can notably cause severe damage on indiv…

cs.DB2021★ 1 cited

Joint Management and Analysis of Textual Documents and Tabular Data within the AUDAL Data Lake

Pegdwendé Sawadogo, Jérôme Darmont, Camille Noûs

In 2010, the concept of data lake emerged as an alternative to data warehouses for big data management. Data lakes follow a schema-on-read approach to provide rich and flexible ana…

cs.DB2021★ 6 cited

ArchaeoDAL: A Data Lake for Archaeological Data Management and Analytics

Pengfei Liu, Sabine Loudcher, Jérôme Darmont +1

With new emerging technologies, such as satellites and drones, archaeologists collect data over large areas. However, it becomes difficult to process such data in time. Archaeologi…

cs.DB2021★ 12 cited

Coining goldMEDAL: A New Contribution to Data Lake Generic Metadata Modeling

Etienne Scholly, Pegdwendé Sawadogo, Pengfei Liu +5

The rise of big data has revolutionized data exploitation practices and led to the emergence of new concepts. Among them, data lakes have emerged as large heterogeneous data reposi…

eess.SP2021★ 1 cited

RIGOLETTO -- RIemannian GeOmetry LEarning: applicaTion To cOnnectivity. A contribution to the Clinical BCI Challenge -- WCCI2020

Marie-Constance Corsi, Florian Yger, Sylvain Chevallier +1

This short technical report describes the approach submitted to the Clinical BCI Challenge-WCCI2020. This submission aims to classify motor imagery task from EEG signals and relies…