CV | Abdulwahab Mohammed Mohsen Aljubairy

Social Networks

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)

أكثر

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)

أكثر

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)

أكثر

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)

أكثر

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)

أكثر

Deep News Recommendation with Contextual User Profiling and Multifaceted Article Representation

2020

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

أكثر

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)

أكثر

HeteGraph: Graph Learning in Recommender Systems via Graph Convolutional Networks

2021

مقال في مجلة | Springer | Neural Computing and Applications

أكثر

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)

أكثر

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)

أكثر

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)

أكثر

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)

أكثر

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)

أكثر

A System for Effectively Predicting Flight Delays Based on IoT Data

2020

مقال في مجلة | Springer | Computing

أكثر

Official government website of the Government of Kingdom of Saudi Arabia

Link to official Saudi websites end with edu.sa

Government websites use the HTTPS protocol for encryption and security.

Welcome

Login with National Single Sign-On

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

Search in the Site