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:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2022
COVID-19 and Pneumonia Xrays.
Dataset, May, 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
Leveraging Smartphone Sensors to Detect Distracted Driving Activities.
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
Fine-Tuning VGG Neural Network For Fine-grained State Recognition of Food Images.
CoRR, 2018

Detecting Distracted Driving Using a Wrist-Worn Wearable.
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

Fine-tuning convolutional deep features for MRI based brain tumor classification.
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
Age of Big Data and Smart Cities: Privacy Trade-Off.
CoRR, 2014

2012
A Compartive Study of Cloud Computing Middleware.
Proceedings of the 12th IEEE/ACM International Symposium on Cluster, 2012


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