Classification of Brain-Computer Interface Data. - Omar AlZoubi; Irena Koprinska; Rafael A. Calvo (AusDM, 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 (CIG, 2008)

Classification of EEG for Affect Recognition: An Adaptive Approach. - Omar AlZoubi; Rafael A. Calvo; Ronald H. Stevens (Australasian Conference on Artificial Intelligence, 2009)

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 (Intelligent Tutoring Systems (1), 2010)

Affective Modeling from Multichannel Physiology: Analysis of Day Differences. - Omar AlZoubi; M. Sazzad Hussain; Sidney K. D'Mello; Rafael A. Calvo (ACII (1), 2011)

Siento: An Experimental Platform for Behavior and Psychophysiology in HCI. - Rafael A. Calvo; M. Sazzad Hussain; Payam Aghaei Pour; Omar AlZoubi (ACII (2), 2011)

Affect Detection from Multichannel Physiology during Learning Sessions with AutoTutor. - M. Sazzad Hussain; Omar AlZoubi; Rafael A. Calvo; Sidney K. D'Mello (AIED, 2011)

Detecting Naturalistic Expressions of Nonbasic Affect Using Physiological Signals. - Omar AlZoubi; Sidney K. D'Mello; Rafael A. Calvo (IEEE Trans. Affect. Comput., 2012)

Worked Out Examples in Computer Science Tutoring. - Barbara Di Eugenio; Lin Chen 006; Nick Green 002; Davide Fossati; Omar AlZoubi (AIED, 2013)

Predicting Students' Performance and Problem Solving Behavior from iList Log Data. - Omar Alzoubi; Davide Fossati; Barbara Di Eugenio; Nick Green 002; Lin Chen 006 (ICCE, 2013)

Affect Detection and Classification from the Non-stationary Physiological Data. - Omar AlZoubi; Davide Fossati; Sidney K. D'Mello; Rafael A. Calvo (ICMLA (1), 2013)

A Study of Analogy in Computer Science Tutorial Dialogues. - Mehrdad Alizadeh; Barbara Di Eugenio; Rachel Harsley; Nick E. Green; Davide Fossati; Omar AlZoubi (CSEDU (2), 2015)

A Scalable Intelligent Tutoring System Framework for Computer Science Education. - Nick Green 002; Omar AlZoubi; Mehrdad Alizadeh; Barbara Di Eugenio; Davide Fossati; Rachel Harsley (CSEDU (1), 2015)

A Hybrid Model for Teaching Recursion. - Omar AlZoubi; Davide Fossati; Barbara Di Eugenio; Nick E. Green; Mehrdad Alizadeh; Rachel Harsley (SIGITE, 2015)

Worked-out Examples in a Computer Science Intelligent Tutoring System. - Barbara Di Eugenio; Nick Green 002; Omar AlZoubi; Mehrdad Alizadeh; Rachel Harsley; Davide Fossati (SIGITE, 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)

Collab-ChiQat: A Collaborative Remaking of a Computer Science Intelligent Tutoring System. - Rachel Harsley; Nick Green 002; Barbara Di Eugenio; Satabdi Aditya; Davide Fossati; Omar AlZoubi (CSCW Companion, 2016)

Behavior and Learning of Students Using Worked-Out Examples in a Tutoring System. - Nick Green 002; Barbara Di Eugenio; Rachel Harsley; Davide Fossati; Omar AlZoubi (ITS, 2016)

Incorporating Analogies and Worked Out Examples as Pedagogical Strategies in a Computer Science Tutoring System. - Rachel Harsley; Nick Green 002; Mehrdad Alizadeh; Sabita Acharya; Davide Fossati; Barbara Di Eugenio; Omar AlZoubi (SIGCSE, 2016)

Applications of blockchain in smart cities. - Abdullah Melhem; Omar AlZoubi; Wail Mardini; Muneer O. Bani Yassein (DATA, 2019)

Performance analysis of RPL objective functions. - Muneer O. Bani Yassein; Omar Alzoubi; Mohammed Q. Shatnawi; Ahmad Al Rawashdeh (DATA, 2019)

Learning Recursion: Insights from the ChiQat Intelligent Tutoring System. - Omar Alzoubi; Barbara Di Eugenio; Davide Fossati; Nicholas Green 002; Mehrdad Alizadeh (CSEDU (2), 2020)

Automatic Segmentation and Detection System for Varicocele in Supine Position. - Omar Alzoubi; Mohammad Abu Awad; Ayman M. Abdalla (IEEE Access, 2021)

Financial Sentiment Analysis based on transformers and Majority Voting. - Kefah Alissa; Omar Alzoubi (AICCSA, 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)

Autokeras Approach: A Robust Automated Deep Learning Network for Diagnosis Disease Cases in Medical Images. - Ahmad Alaiad 001; Aya Migdady; Ra'ed M. Al-Khatib; Omar Alzoubi; Raed Abu Zitar; Laith Abualigah (J. Imaging, 2023)

Hydrocephalus classification in brain computed tomography medical images using deep learning. - Salsabeel Abu Al Rub; Ahmad Alaiad 001; Ismail Hmeidi; Muhannad Quwaider; Omar Alzoubi (Simul. Model. Pract. Theory, 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., 2023)

Varicocele detection in ultrasound images using deep learning. - Omar AlZoubi; Mohammad Abu Awad; Ayman M. Abdalla; Laaly Samrraie (Multim. Tools Appl., 2024)