Vous essayez de contacter : Mr KADDARI Zakaria


ID-IRC : 2426110888

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KADDARI Zakaria
Professeur assistant

Spécialité : Génie informatique et génie logiciel

École nationale des sciences appliquée de Oujda

Domaine de Maîtrise :
Nouvelles Technologies, Ingénierie, Systèmes d’Information et IA

Domaine d’intérêt :

Nouvelles Technologies, Ingénierie, Systèmes d’Information et IA

Les publications :

Je n'ai pas encore de publications sur le cancer, mais j'ai d'autres publications dans le domaine biomédical: - A novel self-attention enriching mechanism for biomedical question answering, Z. Kaddari, and T. Bouchentouf, Expert Systems with Applications, 2023 - FrBMedQA: the first French biomedical question answering dataset, Z. Kaddari, and T. Bouchentouf, IAES International Journal of Artificial Intelligence, 2022 - LaRSA at BioASQ 10b: classical and novel approaches for biomedical document retrieval and question answering, Z. Kaddari, and T. Bouchentouf, In CEUR Workshop Proceedings, 2022 - INKAD COVID-19 IntelliSearch: A multilingual search engine for answering questions about COVID-19 in real-time from the scientific literature, Z. Kaddari, J. Berrich, N. Rahmoun, and 2 more authors In 5th International Conference on Intelligent Computing in Data Sciences, ICDS, 2021 - Real-time Covid-19 Detection based on Symptoms using Machine Learning Models, Y. Mellah, Z. Kaddari, M. Belkasmi, and 2 more authors, In Proceedings of the 2nd International Conference on Big Data, Modelling and Machine Learning, 2021 - Biomedical Question Answering: A Survey of Methods and Datasets Z. Kaddari, Y. Mellah, J. Berrich, and 2 more authors In 4th International Conference on Intelligent Computing in Data Sciences, ICDS, 2020
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