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Qutaibah Malluhi

Showing results (1-10 of 8) with videos related to

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Biomed Research International|May 12, 2015
A Practical and Scalable Tool to Find Overlaps between SequencesMaan Haj Rachid, Qutaibah Malluhi
Biodata Mining|February 15, 2022
PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networksRawan AlSaad, Qutaibah Malluhi, Sabri Boughorbel
Biomed Research International|May 17, 2014
Using the Sadakane compressed suffix tree to solve the all-pairs suffix-prefix problemMaan Haj Rachid, Qutaibah Malluhi, Mohamed Abouelhoda
BMC Medical Informatics and Decision Making|November 10, 2019
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthmaRawan AlSaad, Qutaibah Malluhi, Ibrahim Janahi, et al.
Plos One|July 8, 2016
FastRNABindR: Fast and Accurate Prediction of Protein-RNA Interface ResiduesYasser El-Manzalawy, Mostafa Abbas, Qutaibah Malluhi, et al.
Artificial Intelligence in Medicine|March 10, 2024
Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximationRawan AlSaad, Qutaibah Malluhi, Alaa Abd-Alrazaq, et al.
Journal of Healthcare Engineering|April 28, 2022
Machine Learning for Healthcare Wearable Devices: The Big PictureFarida Sabry, Tamer Eltaras, Wadha Labda, et al.
Sensors (Basel, Switzerland)|March 10, 2022
Towards On-Device Dehydration Monitoring Using Machine Learning from Wearable Device's DataFarida Sabry, Tamer Eltaras, Wadha Labda, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Biomed Research International|May 12, 2015
A Practical and Scalable Tool to Find Overlaps between SequencesMaan Haj Rachid, Qutaibah Malluhi
Biodata Mining|February 15, 2022
PredictPTB: an interpretable preterm birth prediction model using attention-based recurrent neural networksRawan AlSaad, Qutaibah Malluhi, Sabri Boughorbel
Biomed Research International|May 17, 2014
Using the Sadakane compressed suffix tree to solve the all-pairs suffix-prefix problemMaan Haj Rachid, Qutaibah Malluhi, Mohamed Abouelhoda
BMC Medical Informatics and Decision Making|November 10, 2019
Interpreting patient-Specific risk prediction using contextual decomposition of BiLSTMs: application to children with asthmaRawan AlSaad, Qutaibah Malluhi, Ibrahim Janahi, et al.
Plos One|July 8, 2016
FastRNABindR: Fast and Accurate Prediction of Protein-RNA Interface ResiduesYasser El-Manzalawy, Mostafa Abbas, Qutaibah Malluhi, et al.
Artificial Intelligence in Medicine|March 10, 2024
Temporal self-attention for risk prediction from electronic health records using non-stationary kernel approximationRawan AlSaad, Qutaibah Malluhi, Alaa Abd-Alrazaq, et al.
Journal of Healthcare Engineering|April 28, 2022
Machine Learning for Healthcare Wearable Devices: The Big PictureFarida Sabry, Tamer Eltaras, Wadha Labda, et al.
Sensors (Basel, Switzerland)|March 10, 2022
Towards On-Device Dehydration Monitoring Using Machine Learning from Wearable Device's DataFarida Sabry, Tamer Eltaras, Wadha Labda, et al.
Pageof 1