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ORCIDZakhriya Alhassan
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2020 – today
- 2024
[j1]Omar Alghushairy
, Raed Alsini, Zakhriya Alhassan, Abdulrahman A. Alshdadi, Ameen Banjar, Ayman Yafoz, Xiaogang Ma:
An Efficient Support Vector Machine Algorithm Based Network Outlier Detection System. IEEE Access 12: 24428-24441 (2024)
2010 – 2019
- 2019
- [c4]Zakhriya Alhassan, David Budgen, Ali Alessa, Riyad Alshammari, Tahani Daghstani, Noura Al Moubayed:
Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction. ICANN (Workshop) 2019: 338-350 - 2018
- [c3]Zakhriya Alhassan, A. Stephen McGough, Riyad Alshammari, Tahani Daghstani, David Budgen, Noura Al Moubayed:
Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models. ICANN (3) 2018: 468-478 - [c2]Ali Al Essa, Miad Faezipour, Zakhriya Alhassan:
Text Classification of Flu-Related Tweets Using FastText with Sentiment and Keyword Features. ICHI 2018: 366-367 - [c1]Zakhriya Alhassan, David Budgen, Riyad Alshammari, Tahani Daghstani, A. Stephen McGough, Noura Al Moubayed:
Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data. ICMLA 2018: 541-546
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last updated on 2024-09-10 02:10 CEST by the dblp team
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