Riyad Alshammari

发表

Using Neuro-Fuzzy Approach to Reduce False Positive Alerts

Riyad Alshammari, Sumalee Sonamthiang, Mohsen Teimouri, 2007, Fifth Annual Conference on Communication Networks and Services Research (CNSR '07).

Building Diabetes Early Warning System Using Data Mining Techniques

Riyad Alshammari, Nouf Almutairi, 2017 .

Building a Culture of Health Informatics Innovation and Entrepreneurship: A New Frontier

Riyad Alshammari, Mowafa Said Househ, Mariam Almutairi, 2015, ICIMTH.

Unveiling Skype encrypted tunnels using GP

Riyad Alshammari, A. Nur Zincir-Heywood, Riyad Alshammari, 2010, IEEE Congress on Evolutionary Computation.

Supporting Parent's at NICU Using Automatic Summary Generator System - NICU Ontology

Saudi Arabia, Riyad Alshammari, Muhammad Imran Razzak, 2015 .

Generalization of signatures for SSH encrypted traffic identification

Riyad Alshammari, A. Nur Zincir-Heywood, Riyad Alshammari, 2009, 2009 IEEE Symposium on Computational Intelligence in Cyber Security.

Are There Bots even in FIFA World Cup 2018 Tweets?

Riyad Alshammari, Moath Bagarish, A. Nur Zincir-Heywood, 2019, 2019 15th International Conference on Network and Service Management (CNSM).

Can encrypted traffic be identified without port numbers, IP addresses and payload inspection?

Riyad Alshammari, A. Nur Zincir-Heywood, A. N. Zincir-Heywood, 2011, Comput. Networks.

Predicting Current Glycated Hemoglobin Levels in Adults From Electronic Health Records: Validation of Multiple Logistic Regression Algorithm

Riyad Alshammari, David Budgen, Zakhriya Alhassan, 2020, JMIR medical informatics.

Predictors of outpatients’ no-show: big data analytics using apache spark

Tahani Daghistani, Riyad Alshammari, Huda AlGhamdi, 2020, J. Big Data.

Collaborative Denoising Autoencoder for High Glycated Haemoglobin Prediction

Riyad Alshammari, David Budgen, Zakhriya Alhassan, 2019, ICANN.

Development of Ontology for Penicillin-Related Adverse Events

Riyad Alshammari, Imran Razzak, Wafaa Alsomali, 2016 .

Stacked Denoising Autoencoders for Mortality Risk Prediction Using Imbalanced Clinical Data

A. Stephen McGough, Riyad Alshammari, David Budgen, 2018, 2018 17th IEEE International Conference on Machine Learning and Applications (ICMLA).

Blood Bank Control System: An Ontology

Riyad Alshammari, Muhammad Imran Razzak, Eman Al Moamary, 2016 .

Type-2 Diabetes Mellitus Diagnosis from Time Series Clinical Data Using Deep Learning Models

A. Stephen McGough, Riyad Alshammari, David Budgen, 2018, ICANN.

A flow based approach for SSH traffic detection

Riyad Alshammari, A. Nur Zincir-Heywood, A. N. Zincir-Heywood, 2007, 2007 IEEE International Conference on Systems, Man and Cybernetics.

Aligning Public Health and Health Informatics Research Strengths with National Level Research Priorities in Saudi Arabia

Riyad Alshammari, Mowafa Said Househ, Basema Saddik, 2014, ICIMTH.

Developing Ontology for RFID Based Infant Protection System

Riyad Alshammari, Muhammad Imran Razzak, Amal Abdulaziz Al Asaimi, 2016 .

A Preliminary Performance Comparison of Two Feature Sets for Encrypted Traffic Classification

Riyad Alshammari, A. Nur Zincir-Heywood, 2008, CISIS.

Acknowledgment to Reviewers

Ahmed Amokrane, Constantin Adam, Riyad Alshammari, 2015, Journal of Network and Systems Management.

Prediction of Stroke using Data Mining Classification Techniques

Riyad Alshammari, Ohoud Almadani, Riyad Alshammari, 2018 .

The Prediction of Outpatient No-Show Visits by using Deep Neural Network from Large Data

Tahani Daghistani, Riyad Alshammari, Abdulwahhab O. Alshammari, 2020 .

Is machine learning losing the battle to produce transportable signatures against VoIP traffic?

Riyad Alshammari, A. Nur Zincir-Heywood, A. N. Zincir-Heywood, 2011, 2011 IEEE Congress of Evolutionary Computation (CEC).

Machine learning based encrypted traffic classification: Identifying SSH and Skype

Riyad Alshammari, A. Nur Zincir-Heywood, A. N. Zincir-Heywood, 2009, 2009 IEEE Symposium on Computational Intelligence for Security and Defense Applications.

Classifying SSH encrypted traffic with minimum packet header features using genetic programming

Malcolm I. Heywood, Riyad Alshammari, A. Nur Zincir-Heywood, 2009, GECCO '09.

Improving Accelerometer-Based Activity Recognition by Using Ensemble of Classifiers

Tahani Daghistani, Riyad Alshammari, 2016 .

Comparison of Statistical Logistic Regression and RandomForest Machine Learning Techniques in Predicting Diabetes

Tahani Daghistani, Riyad Alshammari, Riyad Alshammari, 2020 .

The Impact of Evasion on the Generalization of Machine Learning Algorithms to Classify VoIP Traffic

Riyad Alshammari, A. Nur Zincir-Heywood, A. N. Zincir-Heywood, 2012, 2012 21st International Conference on Computer Communications and Networks (ICCCN).

An ontology for remote monitoring of cardiac implantable electronic devices

Riyad Alshammari, Muhammad Imran Razzak, Mohammad Waqialla, 2015, 2015 International Conference on Computer, Communications, and Control Technology (I4CT).

Performance Comparison of Four Rule Sets: An Example for Encrypted Traffic Classification

Riyad Alshammari, Abdel Aziz Farrag, A. Nur Zincir-Heywood, 2009, 2009 World Congress on Privacy, Security, Trust and the Management of e-Business.

Investigating Two Different Approaches for Encrypted Traffic Classification

Riyad Alshammari, A. Nur Zincir-Heywood, A. N. Zincir-Heywood, 2008, 2008 Sixth Annual Conference on Privacy, Security and Trust.

Diagnosis of Diabetes by Applying Data Mining Classification Techniques

Tahani Daghistani, Riyad Alshammari, 2016 .

Utilizing Machine Learning to Recognize Human Activities for Elderly and Homecare

Riyad Alshammari, Razan Alaraj, 2020, Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH.

An investigation on the identification of VoIP traffic: Case study on Gtalk and Skype

Riyad Alshammari, A. Nur Zincir-Heywood, A. N. Zincir-Heywood, 2010, 2010 International Conference on Network and Service Management.

How Robust Can a Machine Learning Approach Be for Classifying Encrypted VoIP?

Riyad Alshammari, A. Nur Zincir-Heywood, 2014, Journal of Network and Systems Management.

Arabic Text Categorization using Machine Learning Approaches

Riyad Alshammari, 2018 .

Improving Accuracy for Diabetes Mellitus Prediction by Using Deepnet.

Tahani Daghistani, Riyad Alshammari, Abdulwahhab O. Alshammari, 2020, Online journal of public health informatics.

Automatically Generating Robust Signatures Using a Machine Learning Approach to Unveil Encrypted VoIP Traffic Without Using Port Numbers, IP Addresses and Payload Inspection

Riyad Alshammari, Riyad Alshammari, 2012 .

Identification of VoIP encrypted traffic using a machine learning approach

Riyad Alshammari, A. Nur Zincir-Heywood, A. N. Zincir-Heywood, 2015, J. King Saud Univ. Comput. Inf. Sci..

Using Machine Learning to Predict Early Preparation of Pharmacy Prescriptions at PSMMC - a Comparison of Four Machine Learning Algorithms

Riyad Alshammari, Mohammed Almeziny, Nora Alhorishi, 2021, Acta informatica medica : AIM : journal of the Society for Medical Informatics of Bosnia & Herzegovina : casopis Drustva za medicinsku informatiku BiH.

An Improved Dense V-Network for Fast and Precise Segmentation of Left Atrium

Riyad Alshammari, Imran Razzak, M. I. Shapiai, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Impact of sharing health information related to diabetes through the social media network: ontology

Riyad Alshammari, Muhammad Imran Razzak, Zainab Ali Al-Qarny, 2015 .

Middle East and North African Health Informatics Association (MENAHIA): Building Sustainable Collaboration

Riyad Alshammari, Luis Fernandez-Luque, Adel Taweel, 2018, Yearbook of Medical Informatics.