Omar AlZoubi

According to our database, Omar AlZoubi authored at least 28 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Varicocele detection in ultrasound images using deep learning.

Omar AlZoubi, Mohammad Abu Awad, Ayman M. Abdalla, Laaly Samrraie

Multim. Tools Appl., July, 2024

2023

Detecting naturalistic expression of emotions using physiological signals while playing video games.

Omar AlZoubi, Buthina AlMakhadmeh, Muneer O. Bani Yassein, Wail Mardini

J. Ambient Intell. Humaniz. Comput., February, 2023

Hydrocephalus classification in brain computed tomography medical images using deep learning.

Salsabeel Abu Al Rub, Ahmad Alaiad, Ismail Hmeidi, Muhannad Quwaider, Omar Alzoubi

Simul. Model. Pract. Theory, 2023

Autokeras Approach: A Robust Automated Deep Learning Network for Diagnosis Disease Cases in Medical Images.

Ahmad Alaiad, Aya Migdady, Ra'ed M. Al-Khatib, Omar Alzoubi, Raed Abu Zitar, Laith Abualigah

J. Imaging, 2023

2022

Affect detection from arabic tweets using ensemble and deep learning techniques.

Omar AlZoubi, Saja Khaled Tawalbeh, Mohammad Al-Smadi

J. King Saud Univ. Comput. Inf. Sci., 2022

Financial Sentiment Analysis based on transformers and Majority Voting.

Kefah Alissa, Omar Alzoubi

Proceedings of the 19th IEEE/ACS International Conference on Computer Systems and Applications, 2022

2021

Automatic Segmentation and Detection System for Varicocele in Supine Position.

Omar Alzoubi, Mohammad Abu Awad, Ayman M. Abdalla

IEEE Access, 2021

2020

Learning Recursion: Insights from the ChiQat Intelligent Tutoring System.

Omar Alzoubi, Barbara Di Eugenio, Davide Fossati, Nicholas Green, Mehrdad Alizadeh

Proceedings of the 12th International Conference on Computer Supported Education, 2020

2019

Performance analysis of RPL objective functions.

Muneer O. Bani Yassein, Omar Alzoubi, Mohammed Q. Shatnawi, Ahmad Al Rawashdeh

Proceedings of the Second International Conference on Data Science, 2019

Applications of blockchain in smart cities.

Abdullah Melhem, Omar AlZoubi, Wail Mardini, Muneer O. Bani Yassein

Proceedings of the Second International Conference on Data Science, 2019

2016

Incorporating Analogies and Worked Out Examples as Pedagogical Strategies in a Computer Science Tutoring System.

Rachel Harsley, Nick E. Green, Mehrdad Alizadeh, Sabita Acharya, Davide Fossati, Barbara Di Eugenio, Omar AlZoubi

Proceedings of the 47th ACM Technical Symposium on Computing Science Education, 2016

Behavior and Learning of Students Using Worked-Out Examples in a Tutoring System.

Nick E. Green, Barbara Di Eugenio, Rachel Harsley, Davide Fossati, Omar AlZoubi

Proceedings of the Intelligent Tutoring Systems - 13th International Conference, 2016

Collab-ChiQat: A Collaborative Remaking of a Computer Science Intelligent Tutoring System.

Rachel Harsley, Nick E. Green, Barbara Di Eugenio, Satabdi Aditya, Davide Fossati, Omar AlZoubi

Proceedings of the 19th ACM Conference on Computer Supported Cooperative Work and Social Computing, 2016

2015

Affect detection from non-stationary physiological data using ensemble classifiers.

Omar AlZoubi, Davide Fossati, Sidney K. D'Mello, Rafael A. Calvo

Evol. Syst., 2015

Worked-out Examples in a Computer Science Intelligent Tutoring System.

Barbara Di Eugenio, Nick E. Green, Omar AlZoubi, Mehrdad Alizadeh, Rachel Harsley, Davide Fossati

Proceedings of the 16th Annual Conference on Information Technology Education, 2015

A Hybrid Model for Teaching Recursion.

Omar AlZoubi, Davide Fossati, Barbara Di Eugenio, Nick E. Green, Mehrdad Alizadeh, Rachel Harsley

Proceedings of the 16th Annual Conference on Information Technology Education, 2015

A Scalable Intelligent Tutoring System Framework for Computer Science Education.

Nick E. Green, Omar AlZoubi, Mehrdad Alizadeh, Barbara Di Eugenio, Davide Fossati, Rachel Harsley

Proceedings of the CSEDU 2015, 2015

A Study of Analogy in Computer Science Tutorial Dialogues.

Mehrdad Alizadeh, Barbara Di Eugenio, Rachel Harsley, Nick E. Green, Davide Fossati, Omar AlZoubi

Proceedings of the CSEDU 2015, 2015

2013

Affect Detection and Classification from the Non-stationary Physiological Data.

Omar AlZoubi, Davide Fossati, Sidney K. D'Mello, Rafael A. Calvo

Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Worked Out Examples in Computer Science Tutoring.

Barbara Di Eugenio, Lin Chen, Nick E. Green, Davide Fossati, Omar AlZoubi

Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012

Detecting Naturalistic Expressions of Nonbasic Affect Using Physiological Signals.

Omar AlZoubi, Sidney K. D'Mello, Rafael A. Calvo

IEEE Trans. Affect. Comput., 2012

2011

Affect Detection from Multichannel Physiology during Learning Sessions with AutoTutor.

M. Sazzad Hussain, Omar AlZoubi, Rafael A. Calvo, Sidney K. D'Mello

Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

Siento: An Experimental Platform for Behavior and Psychophysiology in HCI.

Rafael A. Calvo, M. Sazzad Hussain, Payam Aghaei Pour, Omar AlZoubi

Proceedings of the Affective Computing and Intelligent Interaction, 2011

Affective Modeling from Multichannel Physiology: Analysis of Day Differences.

Omar AlZoubi, M. Sazzad Hussain, Sidney K. D'Mello, Rafael A. Calvo

Proceedings of the Affective Computing and Intelligent Interaction, 2011

2010

The Impact of System Feedback on Learners' Affective and Physiological States.

Payam Aghaei Pour, M. Sazzad Hussain, Omar AlZoubi, Sidney K. D'Mello, Rafael A. Calvo

Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

2009

Classification of EEG for Affect Recognition: An Adaptive Approach.

Omar AlZoubi, Rafael A. Calvo, Ronald H. Stevens

Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008

Brain-computer interface: Next generation thought controlled distributed video game development platform.

Payam Aghaei Pour, Tauseef Gulrez, Omar AlZoubi, Gaetano D. Gargiulo, Rafael A. Calvo

Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

Classification of Brain-Computer Interface Data.

Omar AlZoubi, Irena Koprinska, Rafael A. Calvo

Proceedings of the Data Mining and Analytics 2008, 2008