Ella Haig

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	Todos	Desde 2016
Citações	1794	1326
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Coautores

Han LiuShenzhen UniversityEmail confirmado em port.ac.uk
Alexander GegovUniversity of Portsmouth,UKEmail confirmado em port.ac.uk
George D. MagoulasProfessor of Computer Science, University of London, Birkbeck CollegeEmail confirmado em dcs.bbk.ac.uk
Sanaz FallahkhairPhD. Senior Lecturer in Human Computer Interaction, University of BrightonEmail confirmado em brighton.ac.uk
Stephan WeibelzahlPFH Private University of Applied Sciences GöttingenEmail confirmado em pfh.de
Mohamed Bader-El-DenAssistant Professor, School of Computing, University of PortsmouthEmail confirmado em port.ac.uk
Nabeela AltrabshehArden UniversityEmail confirmado em arden.ac.uk
Mohamed Medhat GaberProfessor in Data Analytics, Birmingham City University, and Galala UniversityEmail confirmado em bcu.ac.uk
Alaa MohassebLecturer, University of PortsmouthEmail confirmado em port.ac.uk
Ahmed AbubahiaSchool of Physical Sciences and Computing, University of Central LancashireEmail confirmado em uclan.ac.uk
Ryan BakerUniversity of PennsylvaniaEmail confirmado em upenn.edu
Alaa AlkhafajiPh.D. in Mobile human-computer interactionEmail confirmado em port.ac.uk
Sergio Gutiérrez-SantosLecturer in Computer Science, Birkbeck College, Univ. of LondonEmail confirmado em dcs.bbk.ac.uk
Arnon HershkovitzSenior Lecturer in the School of Education, Tel Aviv UniversityEmail confirmado em tauex.tau.ac.il
Safwan ShatnawiAssistant Professor, University of BahrainEmail confirmado em uob.edu.bh
Fatima ChiromaUniversity of PortsmouthEmail confirmado em port.ac.uk
Vincent AlevenProfessor of Human-Computer Interaction, Carnegie Mellon UniversityEmail confirmado em andrew.cmu.edu
Ken KoedingerHillman Professor of Computer Science, Depts of Human-Computer Interaction & Psychology, CarnegieEmail confirmado em cmu.edu
Albert CorbettAssociate Research Professor Emeritus, Human-Computer Interaction, Carnegie Mellon UniversityEmail confirmado em cmu.edu
Ido RollTechnion - Israel Institute of TechnologyEmail confirmado em technion.ac.il

Ella Haig

School of Computing, University of Portsmouth, UK

Email confirmado em port.ac.uk - Página inicial

Intelligent Systems Adaptation and Personalisation User Modelling Artificial Intelligence Data mining


Título Ordenar por citações Ordenar por ano Ordenar por título	Citado por Citado por	Ano
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	102	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	101	2009
Rule-based systems: a granular computing perspective H Liu, A Gegov, M Cocea Granular Computing 1 (4), 259–274, 2016	94	2016
SA-E: sentiment analysis for education N Altrabsheh, M Gaber, M Cocea 5th KES International Conference on Intelligent Decision Technologies, 353 - 362, 2013	90	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	70	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	56	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	50	2017
Rule Based Systems for Big Data: A machine learning approach H Liu, A Gegov, M Cocea Springer, 2016	49	2016
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	46	2014
Motivation: included or excluded from E-learning M Cocea, S Weibelzahl International Conference on Cognition and Exploratory Learning in Digital …, 2006	44	2006
Fuzzy information granulation towards interpretable sentiment analysis H Liu, M Cocea Granular Computing 2 (4), 289-302, 2017	38	2017
Granular computing based approach for classification towards reduction of bias in ensemble learning H Liu, M Cocea Granular Computing, 2017	35	2017
Fuzzy Approach for Sentiment Analysis C Jefferson, H Liu, M Cocea IEEE International Conference on Fuzzy Systems, 2017	34	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	32	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	28	2018
Multi-task learning for intelligent data processing in granular computing context H Liu, M Cocea, W Ding Granular Computing 3 (3), 257-273, 2018	27	2018

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