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Stassin Sédrick

Université de Mons - UMONS > Faculté Polytechnique > Service Informatique, Logiciel et Intelligence artificielle


Main Referenced Co-authors
Mahmoudi, Sidi  (4)
Amel, Otmane  (2)
Daho, Mostafa El Habib (2)
Lessage, Xavier (2)
Mahmoudi, Saïd  (2)
Main Referenced Keywords
Deep Learning (2); Bias Detection (1); Bias Mitigation (1); Co-learning (1); Customs Fraud Detection, Deep Learning, HS Code Prediction (1);
Main Referenced Unit & Research Centers
CRTI - Centre de Recherche en Technologie de l'Information (2)
Main Referenced Disciplines
Computer science (5)
Electrical & electronics engineering (1)
Radiology, nuclear medicine & imaging (1)

Publications (total 5)

The most downloaded
24 downloads
Mahmoudi, S., Stassin, S., Daho, M. E. H., Lessage, X., & Mahmoudi, S. (In press). Explainable Deep Learning for Covid-19 detection using chest X-ray and CT images. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics. Springer. https://hdl.handle.net/20.500.12907/5090
The most cited
2 citations (Scopus®)
Mahmoudi, S., Stassin, S., Daho, M. E. H., Lessage, X., & Mahmoudi, S. (2021). Explainable Deep Learning for Covid-19 Detection Using Chest X-ray and CT-Scan Images. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics (pp. 323-338). Springer. https://hdl.handle.net/20.500.12907/42412

Mahmoudi, S., Stassin, S., Daho, M. E. H., Lessage, X., & Mahmoudi, S. (In press). Explainable Deep Learning for Covid-19 detection using chest X-ray and CT images. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics. Springer.
Peer reviewed

Stassin, S., Versbraegen, N., Nanfack, G., Jean, E., & Duboquet, F. (September 2022). Bias Detection On Image Data and their Mitigation on Models. Paper presented at TRAIL Workshop 2022.

Stassin, S.* , Amel, O., Mahmoudi, S., & Siebert, X. (30 March 2022). Artificial Intelligence and Natural Language Processing for Customs Fraud Prediction. Paper presented at InforTech Day, Mons, Belgium.
Editorial reviewed

Amel, O., Mahmoudi, S., Siebert, X., & Stassin, S. (30 March 2022). Review of multimodal approaches. Paper presented at Infortech day on Data science, Mons, Belgium.

Mahmoudi, S., Stassin, S., Daho, M. E. H., Lessage, X., & Mahmoudi, S. (2021). Explainable Deep Learning for Covid-19 Detection Using Chest X-ray and CT-Scan Images. In Intelligent Healthcare Informatics for Fighting the COVID-19 and Other Pandemics and Epidemics (pp. 323-338). Springer.

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