ID-IRC : 2426110888
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