CV | Abdulwahab Mohammed Mohsen Aljubairy

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محمد الغساني

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Qualifications

الدكتوراه

الذكاء الاصطناعي

جامعة ماكواري | استراليا

الماجستير

2016

الذكاء الاصطناعي

جامعة ادليد | استراليا

البكالوريوس

1426

البرمجة وعلوم الحاسب

جامعة الملك عبدالعزيز | المملكة العربية السعودية

Scientific Research

Analyzing the Sensitivity of Deep Neural Networks for Sentiment Analysis: A Scoring Approach

2020

ورقة مؤتمر | The Institute of Electrical and Electronics Engineers (IEEE) | The International Joint Conference on Neural Networks (IJCNN)

The 10 Research Topics in the Internet of Things

2019

ورقة مؤتمر | The Institute of Electrical and Electronics Engineers (IEEE) | The International Conference on Collaboration and Internet Computing (CIC)

Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution

2025

مقال في مجلة | The Association for Computing Machinery (ACM) | Transactions on Intelligent Systems and Technology (TIST)

Towards a Deep Learning-driven Service Discovery Framework for the Social Internet of Things: A Context-aware Approach

2021

ورقة مؤتمر | Springer | The International Conference on Web Information Systems Engineering (WISE)

Are Modern Deep Learning Models for Sentiment Analysis Brittle? An Examination on Part-of-Speech

2020

ورقة مؤتمر | The Institute of Electrical and Electronics Engineers (IEEE) | The International Joint Conference on Neural Networks (IJCNN)

Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation

2020

ورقة مؤتمر | Springer | The International Conference on Web Information Systems Engineering (WISE)

HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems

2020

ورقة مؤتمر | The Institute of Electrical and Electronics Engineers (IEEE) | The International Joint Conference on Neural Networks (IJCNN)

HeteGraph: Graph Learning in Recommender Systems via Graph Convolutional Networks

2021

مقال في مجلة | Springer | Neural Computing and Applications

The Impact of Guided Metacognitive Feedback on Novice Programmers Using Learning by Teaching Environment

2020

مقال في مجلة | The Journal of King Abdulaziz University | Journal of King Abdulaziz University: Computing and Information Technology Sciences (JKAU)

A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects

2021

ورقة مؤتمر | Springer | The International Conference on Advanced Data Mining and Applications (ADMA)

Real-Time Investigation of Flight Delays Based on the Internet of Things Data

2016

ورقة مؤتمر | Springer | The International Conference on Advanced Data Mining and Applications (ADMA)

A Unified Framework for Improving Misclassifications in Modern Deep Neural Networks for Sentiment Analysis

2021

ورقة مؤتمر | The Institute of Electrical and Electronics Engineers (IEEE) | The International Joint Conference on Neural Networks (IJCNN)

SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things

2020

ورقة مؤتمر | Springer | The International Conference on Advanced Information Systems Engineering (CAiSE)

A System for Effectively Predicting Flight Delays Based on IoT Data

2020

مقال في مجلة | Springer | Computing

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CV

Qualifications

الدكتوراه

الماجستير

البكالوريوس

Scientific Research

Analyzing the Sensitivity of Deep Neural Networks for Sentiment Analysis: A Scoring Approach

The 10 Research Topics in the Internet of Things

Can Interpretability of Deep Learning Models Detect Textual Adversarial Distribution

Towards a Deep Learning-driven Service Discovery Framework for the Social Internet of Things: A Context-aware Approach

Are Modern Deep Learning Models for Sentiment Analysis Brittle? An Examination on Part-of-Speech

Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation

HeteGraph: A Convolutional Framework for Graph Learning in Recommender Systems

HeteGraph: Graph Learning in Recommender Systems via Graph Convolutional Networks

The Impact of Guided Metacognitive Feedback on Novice Programmers Using Learning by Teaching Environment

A Fast and Accurate Approach for Inferencing Social Relationships Among IoT Objects

Real-Time Investigation of Flight Delays Based on the Internet of Things Data

A Unified Framework for Improving Misclassifications in Modern Deep Neural Networks for Sentiment Analysis

SIoTPredict: A Framework for Predicting Relationships in the Social Internet of Things

A System for Effectively Predicting Flight Delays Based on IoT Data

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