Kaoutar Ben Ahmed
Orcid: 0000-0002-5269-8733
According to our database1,
Kaoutar Ben Ahmed
authored at least 15 papers
between 2012 and 2022.
Collaborative distances:
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Bibliography
2022
Towards High Performing and Reliable Deep Convolutional Neural Network Models for Typically Limited Medical Imaging Datasets.
PhD thesis, 2022
Achieving Multisite Generalization for CNN-Based Disease Diagnosis Models by Mitigating Shortcut Learning.
IEEE Access, 2022
2021
Deep Learning Models May Spuriously Classify Covid-19 from X-ray Images Based on Confounders.
CoRR, 2021
Discovery of a Generalization Gap of Convolutional Neural Networks on COVID-19 X-Rays Classification.
IEEE Access, 2021
2019
IEEE Trans. Intell. Transp. Syst., 2019
Neuroimaging Based Survival Time Prediction of GBM Patients Using CNNs from Small Data.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019
2018
CoRR, 2018
Proceedings of the 2018 IEEE International Conference on Pervasive Computing and Communications Workshops, 2018
2017
Synthetic minority image over-sampling technique: How to improve AUC for glioblastoma patient survival prediction.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017
2016
Exploring deep features from brain tumor magnetic resonance images via transfer learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Visual sentiment prediction with transfer learning and big data analytics for smart cities.
Proceedings of the 4th IEEE International Colloquium on Information Science and Technology, 2016
2014
2012
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012