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ORCIDOmar AlZoubi
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2020 – today
- 2024
[j8]Omar AlZoubi
, Mohammad Abu Awad, Ayman M. Abdalla, Laaly Samrraie:
Varicocele detection in ultrasound images using deep learning. Multim. Tools Appl. 83(23): 63617-63634 (2024)- 2023
- [j7]Omar AlZoubi, Buthina AlMakhadmeh, Muneer O. Bani Yassein, Wail Mardini:
Detecting naturalistic expression of emotions using physiological signals while playing video games. J. Ambient Intell. Humaniz. Comput. 14(2): 1133-1146 (2023) - [j6]Ahmad Alaiad, Aya Migdady, Ra'ed M. Al-Khatib, Omar Alzoubi, Raed Abu Zitar, Laith Abualigah:
Autokeras Approach: A Robust Automated Deep Learning Network for Diagnosis Disease Cases in Medical Images. J. Imaging 9(3): 64 (2023) - [j5]Salsabeel Abu Al Rub, Ahmad Alaiad, Ismail Hmeidi, Muhannad Quwaider, Omar Alzoubi:
Hydrocephalus classification in brain computed tomography medical images using deep learning. Simul. Model. Pract. Theory 123: 102705 (2023) - 2022
- [j4]Omar AlZoubi, Saja Khaled Tawalbeh, Mohammad Al-Smadi:
Affect detection from arabic tweets using ensemble and deep learning techniques. J. King Saud Univ. Comput. Inf. Sci. 34(6 Part A): 2529-2539 (2022) - [c20]Kefah Alissa, Omar Alzoubi:
Financial Sentiment Analysis based on transformers and Majority Voting. AICCSA 2022: 1-4 - 2021
- [j3]Omar Alzoubi, Mohammad Abu Awad, Ayman M. Abdalla:
Automatic Segmentation and Detection System for Varicocele in Supine Position. IEEE Access 9: 125393-125402 (2021) - 2020
- [c19]Omar Alzoubi, Barbara Di Eugenio, Davide Fossati, Nicholas Green, Mehrdad Alizadeh:
Learning Recursion: Insights from the ChiQat Intelligent Tutoring System. CSEDU (2) 2020: 336-343
2010 – 2019
- 2019
- [c18]Abdullah Melhem, Omar AlZoubi, Wail Mardini, Muneer O. Bani Yassein:
Applications of blockchain in smart cities. DATA 2019: 35:1-35:7 - [c17]Muneer O. Bani Yassein, Omar Alzoubi, Mohammed Q. Shatnawi, Ahmad Al Rawashdeh:
Performance analysis of RPL objective functions. DATA 2019: 36:1-36:6 - 2016
- [c16]Rachel Harsley, Nick E. Green, Barbara Di Eugenio, Satabdi Aditya, Davide Fossati, Omar AlZoubi:
Collab-ChiQat: A Collaborative Remaking of a Computer Science Intelligent Tutoring System. CSCW Companion 2016: 281-284 - [c15]Nick E. Green, Barbara Di Eugenio, Rachel Harsley, Davide Fossati, Omar AlZoubi:
Behavior and Learning of Students Using Worked-Out Examples in a Tutoring System. ITS 2016: 389-395 - [c14]Rachel Harsley, Nick E. Green, Mehrdad Alizadeh, Sabita Acharya, Davide Fossati, Barbara Di Eugenio, Omar AlZoubi:
Incorporating Analogies and Worked Out Examples as Pedagogical Strategies in a Computer Science Tutoring System. SIGCSE 2016: 675-680 - 2015
- [j2]Omar AlZoubi, Davide Fossati, Sidney K. D'Mello, Rafael A. Calvo:
Affect detection from non-stationary physiological data using ensemble classifiers. Evol. Syst. 6(2): 79-92 (2015) - [c13]Mehrdad Alizadeh, Barbara Di Eugenio, Rachel Harsley, Nick E. Green, Davide Fossati, Omar AlZoubi:
A Study of Analogy in Computer Science Tutorial Dialogues. CSEDU (2) 2015: 232-237 - [c12]Nick E. Green, Omar AlZoubi, Mehrdad Alizadeh, Barbara Di Eugenio, Davide Fossati, Rachel Harsley:
A Scalable Intelligent Tutoring System Framework for Computer Science Education. CSEDU (1) 2015: 372-379 - [c11]Omar AlZoubi, Davide Fossati, Barbara Di Eugenio, Nick E. Green, Mehrdad Alizadeh, Rachel Harsley:
A Hybrid Model for Teaching Recursion. SIGITE 2015: 65-70 - [c10]Barbara Di Eugenio, Nick E. Green, Omar AlZoubi, Mehrdad Alizadeh, Rachel Harsley, Davide Fossati:
Worked-out Examples in a Computer Science Intelligent Tutoring System. SIGITE 2015: 121 - 2013
- [c9]Barbara Di Eugenio, Lin Chen, Nick E. Green, Davide Fossati, Omar AlZoubi:
Worked Out Examples in Computer Science Tutoring. AIED 2013: 852-855 - [c8]Omar AlZoubi, Davide Fossati, Sidney K. D'Mello, Rafael A. Calvo:
Affect Detection and Classification from the Non-stationary Physiological Data. ICMLA (1) 2013: 240-245 - 2012
- [j1]Omar AlZoubi, Sidney K. D'Mello, Rafael A. Calvo:
Detecting Naturalistic Expressions of Nonbasic Affect Using Physiological Signals. IEEE Trans. Affect. Comput. 3(3): 298-310 (2012) - 2011
- [c7]Omar AlZoubi, M. Sazzad Hussain, Sidney K. D'Mello, Rafael A. Calvo:
Affective Modeling from Multichannel Physiology: Analysis of Day Differences. ACII (1) 2011: 4-13 - [c6]Rafael A. Calvo, M. Sazzad Hussain, Payam Aghaei Pour, Omar AlZoubi:
Siento: An Experimental Platform for Behavior and Psychophysiology in HCI. ACII (2) 2011: 307-308 - [c5]M. Sazzad Hussain, Omar AlZoubi, Rafael A. Calvo, Sidney K. D'Mello:
Affect Detection from Multichannel Physiology during Learning Sessions with AutoTutor. AIED 2011: 131-138 - 2010
- [c4]Payam Aghaei Pour, M. Sazzad Hussain, Omar AlZoubi, Sidney K. D'Mello, Rafael A. Calvo:
The Impact of System Feedback on Learners' Affective and Physiological States. Intelligent Tutoring Systems (1) 2010: 264-273
2000 – 2009
- 2009
- [c3]Omar AlZoubi, Rafael A. Calvo, Ronald H. Stevens:
Classification of EEG for Affect Recognition: An Adaptive Approach. Australasian Conference on Artificial Intelligence 2009: 52-61 - 2008
- [c2]Omar AlZoubi, Irena Koprinska, Rafael A. Calvo:
Classification of Brain-Computer Interface Data. AusDM 2008: 123-131 - [c1]Payam Aghaei Pour, Tauseef Gulrez, Omar AlZoubi, Gaetano D. Gargiulo, Rafael A. Calvo:
Brain-computer interface: Next generation thought controlled distributed video game development platform. CIG 2008: 251-257
Coauthor Index
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last updated on 2024-10-07 21:15 CEST by the dblp team
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