Ella Haig

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	All	Since 2016
Citations	1806	1327
h-index	23	21
i10-index	47	41

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Co-authors

Han LiuShenzhen UniversityVerified email at port.ac.uk
Alexander GegovUniversity of Portsmouth,UKVerified email at port.ac.uk
George D. MagoulasProfessor of Computer Science, University of London, Birkbeck CollegeVerified email at dcs.bbk.ac.uk
Sanaz FallahkhairPhD. Senior Lecturer in Human Computer Interaction, University of BrightonVerified email at brighton.ac.uk
Stephan WeibelzahlPFH Private University of Applied Sciences GöttingenVerified email at pfh.de
Mohamed Bader-El-DenAssistant Professor, School of Computing, University of PortsmouthVerified email at port.ac.uk
Nabeela AltrabshehArden UniversityVerified email at arden.ac.uk
Mohamed Medhat GaberProfessor in Data Analytics, Birmingham City University, and Galala UniversityVerified email at bcu.ac.uk
Alaa MohassebLecturer, University of PortsmouthVerified email at port.ac.uk
Ahmed AbubahiaSchool of Physical Sciences and Computing, University of Central LancashireVerified email at uclan.ac.uk
Ryan BakerUniversity of PennsylvaniaVerified email at upenn.edu
Sergio Gutiérrez-SantosLecturer in Computer Science, Birkbeck College, Univ. of LondonVerified email at dcs.bbk.ac.uk
Alaa AlkhafajiPh.D. in Mobile human-computer interactionVerified email at port.ac.uk
Arnon HershkovitzSenior Lecturer in the School of Education, Tel Aviv UniversityVerified email at tauex.tau.ac.il
Fatima ChiromaUniversity of PortsmouthVerified email at port.ac.uk
Safwan ShatnawiAssistant Professor, University of BahrainVerified email at uob.edu.bh
Vincent AlevenProfessor of Human-Computer Interaction, Carnegie Mellon UniversityVerified email at andrew.cmu.edu
Ken KoedingerHillman Professor of Computer Science, Depts of Human-Computer Interaction & Psychology, CarnegieVerified email at cmu.edu
Albert CorbettAssociate Research Professor Emeritus, Human-Computer Interaction, Carnegie Mellon UniversityVerified email at cmu.edu
Ido RollTechnion - Israel Institute of TechnologyVerified email at technion.ac.il

Ella Haig

School of Computing, University of Portsmouth, UK

Verified email at port.ac.uk - Homepage

Intelligent Systems Adaptation and Personalisation User Modelling Artificial Intelligence Data mining


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The impact of off-task and gaming behaviors on learning: immediate or aggregate? M Cocea, A Hershkovitz, RSJ Baker Artificial Intelligence in Education (AIED), 507-514, 2009	116	2009
Can log files analysis estimate learners' level of motivation? M Cocea, S Weibelzahl LWA 2006. Lernen-Wissensentdeckung - Adaptivität, 32-35, 2006	103	2006
Log file analysis for disengagement detection in e-Learning environments M Cocea, S Weibelzahl User Modeling and User-Adapted Interaction 19 (4), 341-385, 2009	100	2009
Rule-based systems: a granular computing perspective H Liu, A Gegov, M Cocea Granular Computing 1 (4), 259–274, 2016	95	2016
SA-E: sentiment analysis for education N Altrabsheh, M Gaber, M Cocea 5th KES International Conference on Intelligent Decision Technologies, 353 - 362, 2013	94	2013
Disengagement detection in online learning: Validation studies and perspectives M Cocea, S Weibelzahl IEEE transactions on learning technologies 4 (2), 114-124, 2010	79	2010
Learning sentiment from students’ feedback for real-time interventions in classrooms N Altrabsheh, M Cocea, S Fallahkhair International conference on adaptive and intelligent systems, 40-49, 2014	72	2014
Cross-system validation of engagement prediction from log files M Cocea, S Weibelzahl European conference on technology enhanced learning, 14-25, 2007	64	2007
Eliciting motivation knowledge from log files towards motivation diagnosis for Adaptive Systems M Cocea, S Weibelzahl International conference on user modeling, 197-206, 2007	54	2007
Semi-random partitioning of data into training and test sets in granular computing context H Liu, M Cocea Granular Computing 2 (4), 357-386, 2017	52	2017
Rule Based Systems for Big Data: A machine learning approach H Liu, A Gegov, M Cocea Springer, 2016	48	2016
Motivation: included or excluded from E-learning M Cocea, S Weibelzahl International Conference on Cognition and Exploratory Learning in Digital …, 2006	46	2006
Sentiment analysis: towards a tool for analysing real-time students feedback N Altrabsheh, M Cocea, S Fallahkhair IEEE Tools with Artificial Intelligence, 419-423, 2014	45	2014
Fuzzy information granulation towards interpretable sentiment analysis H Liu, M Cocea Granular Computing 2 (4), 289-302, 2017	37	2017
Granular computing based approach for classification towards reduction of bias in ensemble learning H Liu, M Cocea Granular Computing, 2017	34	2017
Fuzzy Approach for Sentiment Analysis C Jefferson, H Liu, M Cocea IEEE International Conference on Fuzzy Systems, 2017	33	2017
Assessment of motivation in online learning environments M Cocea International Conference on Adaptive Hypermedia and Adaptive Web-Based …, 2006	33	2006
Fuzzy Rule Based Systems for Interpretable Sentiment Analysis H Liu, M Cocea The 9th International Conference on Advanced Computational Intelligence, 2017	31	2017
Question categorization and classification using grammar based approach A Mohasseb, M Bader-El-Den, M Cocea Information Processing & Management 54 (6), 1228-1243, 2018	29	2018
Automatic content related feedback for MOOCs based on course domain ontology S Shatnawi, MM Gaber, M Cocea International Conference on Intelligent Data Engineering and Automated …, 2014	29	2014

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