Omar AlZoubi

Orcid: 0000-0002-7978-1633

According to our database1, Omar AlZoubi authored at least 27 papers between 2008 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Detecting naturalistic expression of emotions using physiological signals while playing video games.
J. Ambient Intell. Humaniz. Comput., February, 2023

Hydrocephalus classification in brain computed tomography medical images using deep learning.
Simul. Model. Pract. Theory, 2023

Autokeras Approach: A Robust Automated Deep Learning Network for Diagnosis Disease Cases in Medical Images.
J. Imaging, 2023

2022
Affect detection from arabic tweets using ensemble and deep learning techniques.
J. King Saud Univ. Comput. Inf. Sci., 2022

Financial Sentiment Analysis based on transformers and Majority Voting.
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.
IEEE Access, 2021

2020
Learning Recursion: Insights from the ChiQat Intelligent Tutoring System.
Proceedings of the 12th International Conference on Computer Supported Education, 2020

2019
Performance analysis of RPL objective functions.
Proceedings of the Second International Conference on Data Science, 2019

Applications of blockchain in smart cities.
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.
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.
Proceedings of the Intelligent Tutoring Systems - 13th International Conference, 2016

Collab-ChiQat: A Collaborative Remaking of a Computer Science Intelligent Tutoring System.
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.
Evol. Syst., 2015

Worked-out Examples in a Computer Science Intelligent Tutoring System.
Proceedings of the 16th Annual Conference on Information Technology Education, 2015

A Hybrid Model for Teaching Recursion.
Proceedings of the 16th Annual Conference on Information Technology Education, 2015

A Scalable Intelligent Tutoring System Framework for Computer Science Education.
Proceedings of the CSEDU 2015, 2015

A Study of Analogy in Computer Science Tutorial Dialogues.
Proceedings of the CSEDU 2015, 2015

2013
Affect Detection and Classification from the Non-stationary Physiological Data.
Proceedings of the 12th International Conference on Machine Learning and Applications, 2013

Worked Out Examples in Computer Science Tutoring.
Proceedings of the Artificial Intelligence in Education - 16th International Conference, 2013

2012
Detecting Naturalistic Expressions of Nonbasic Affect Using Physiological Signals.
IEEE Trans. Affect. Comput., 2012

2011
Affect Detection from Multichannel Physiology during Learning Sessions with AutoTutor.
Proceedings of the Artificial Intelligence in Education - 15th International Conference, 2011

Siento: An Experimental Platform for Behavior and Psychophysiology in HCI.
Proceedings of the Affective Computing and Intelligent Interaction, 2011

Affective Modeling from Multichannel Physiology: Analysis of Day Differences.
Proceedings of the Affective Computing and Intelligent Interaction, 2011

2010
The Impact of System Feedback on Learners' Affective and Physiological States.
Proceedings of the Intelligent Tutoring Systems, 10th International Conference, 2010

2009
Classification of EEG for Affect Recognition: An Adaptive Approach.
Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008
Brain-computer interface: Next generation thought controlled distributed video game development platform.
Proceedings of the 2008 IEEE Symposium on Computational Intelligence and Games, 2008

Classification of Brain-Computer Interface Data.
Proceedings of the Data Mining and Analytics 2008, 2008


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