Ella Haig

发表

CLASSIFICATION IN MACHINE LEARNING CONTEXT

Han Liu, M. Bader-El-Den, Alaa Mohasseb, 2017 .

Estimate Learners ’ Level of Motivation ?

S. Weibelzahl, Ella Haig, 2022 .

BCS SGAI SMA 2013: the BCS SGAI workshop on social media analysis

M. Gaber, A. Göker, N. Wiratunga, 2013 .

A customised grammar framework for query classification

Alaa Mohasseb, Mihaela Cocea, Mohamed Bader-El-Den, 2019, Expert Syst. Appl..

Conventional and Structure Based Sentiment Analysis: A Survey

Alexander Gegov, Rinat Khusainov, Omar Ali, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Rule Based Systems for Big Data

Han Liu, Mihaela Cocea, Alexander Gegov, 2015 .

Can Log Files Analysis Estimate Learners' Level of Motivation?

Mihaela Cocea, Stephan Weibelzahl, S. Weibelzahl, 2006, LWA.

Granular computing-based approach for classification towards reduction of bias in ensemble learning

Han Liu, Mihaela Cocea, Han Liu, 2017, GRC 2017.

Fuzzy approach for sentiment analysis

Han Liu, Mihaela Cocea, Chris Jefferson, 2017, 2017 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Modelling affect by mining students' interactions within learning environments

Arthur C. Graesser, Manolis Mavrikis, Mihaela Cocea, 2010, EDM 2011.

Learning Engagement: What Actions of Learners Could Best Predict It?

Mihaela Cocea, Ella Haig, 2007, AIED.

Question categorization and classification using grammar based approach

Alaa Mohasseb, Mihaela Cocea, Mohamed Bader-El-Den, 2018, Inf. Process. Manag..

Rule-based systems: a granular computing perspective

Han Liu, Mihaela Cocea, Alexander Gegov, 2016, Granular Computing.

Preference Learning Based Decision Map Algebra: Specification and Implementation

Mihaela Cocea, Salem Chakhar, Ahmed Abubahia, 2019, UKCI.

Multi-task learning for intelligent data processing in granular computing context

Han Liu, Mihaela Cocea, Weili Ding, 2018 .

Semi-random partitioning of data into training and test sets in granular computing context

Han Liu, Mihaela Cocea, Han Liu, 2017, GRC 2017.

Fuzzy information granulation towards interpretable sentiment analysis

Han Liu, Ella Haig, 2017, Granular Computing.

Fuzzy information granulation towards interpretable sentiment analysis

Han Liu, Mihaela Cocea, Han Liu, 2017, GRC 2017.

Assessment of Motivation in Online Learning Environments

Mihaela Cocea, Ella Haig, 2006, AH.

Eliciting Motivation Knowledge from Log Files Towards Motivation Diagnosis for Adaptive Systems

Mihaela Cocea, Stephan Weibelzahl, S. Weibelzahl, 2007, User Modeling.

Adaptive Modelling of Users' Strategies in Exploratory Learning Using Case-Based Reasoning

George D. Magoulas, Mihaela Cocea, Sergio Gutiérrez Santos, 2010, KES.

Identifying strategies in user's exploratory learning behaviour for mathematical generalisation

George D. Magoulas, Mihaela Cocea, G. D. Magoulas, 2009, AIED.

Task-oriented modeling of learner behaviour in exploratory learning for mathematical generalisation

George D. Magoulas, Mihaela Cocea, G. D. Magoulas, 2009 .

Affect in social media: The role of audience and the presence of contempt in cyberbullying

Mihaela Cocea, Ella Haig, 2017, Behavioral and Brain Sciences.

Hybrid ensemble learning approach for generation of classification rules

Han Liu, Alexander E. Gegov, Mihaela Cocea, 2015, 2015 International Conference on Machine Learning and Cybernetics (ICMLC).

Text Classification For Suicide Related Tweets

Mihaela Cocea, Han Liu, Fatima Chiroma, 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

Fuzzy rule based systems for gender classification from blog data

Han Liu, Mihaela Cocea, Han Liu, 2018, 2018 Tenth International Conference on Advanced Computational Intelligence (ICACI).

Participatory Learner Modelling Design: A methodology for iterative learner models development

George D. Magoulas, Mihaela Cocea, G. D. Magoulas, 2015, Inf. Sci..

An Exploration of Crime Prediction Using Data Mining on Open Data

Mihaela Cocea, Ginger Saltos, Ella Haig, 2017, Int. J. Inf. Technol. Decis. Mak..

A Clustering Approach for Protecting GIS Vector Data

Mihaela Cocea, Ahmed Abubahia, Ella Haig, 2015, CAiSE.

Evaluating the topological quality of watermarked vector maps

Mihaela Cocea, Ahmed Abubahia, Ella Haig, 2018, Appl. Soft Comput..

Advancements in GIS map copyright protection schemes - a critical review

Mihaela Cocea, Ahmed Abubahia, Ella Haig, 2017, Multimedia Tools and Applications.

Exploiting Vector Map Properties for GIS Data Copyright Protection

Mihaela Cocea, Ahmed Abubahia, Ella Haig, 2015, 2015 IEEE 27th International Conference on Tools with Artificial Intelligence (ICTAI).

Learning Sentiment from Students' Feedback for Real-Time Interventions in Classrooms

Mihaela Cocea, Sanaz Fallahkhair, Nabeela Altrabsheh, 2014, ICAIS.

Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology

Mohamed Medhat Gaber, Mihaela Cocea, Safwan Shatnawi, 2014, IDEAL.

Disengagement Detection in Online Learning: Validation Studies and Perspectives

Mihaela Cocea, Stephan Weibelzahl, S. Weibelzahl, 2011, IEEE Transactions on Learning Technologies.

Developing recommendations for designing smart and ubiquitous learning environments to be used at outdoors cultural heritage

Mihaela Cocea, Sanaz Fallahkhair, Alaa S. A. Alkhafaji, 2019 .

A Framework for Questionnaire Design To Elicit Requirements for Ubiquitous, Mobile and Wearable Learning Technologies

Mihaela Cocea, Sanaz Fallahkhair, Alaa S. A. Alkhafaji, 2018 .

Towards gathering initial requirements of developing a mobile service to support informal learning at cultural heritage sites

Mihaela Cocea, Sanaz Fallahkhair, Alaa S. A. Alkhafaji, 2015, CELDA 2015.

Semi-supervised Learning Through Machine Based Labelling

Han Liu, Mihaela Cocea, Han Liu, 2018 .

User Modelling and Adaptation in Exploratory Learning

Mihaela Cocea, Ella Haig, 2013 .

Case-based reasoning approach to adaptive modelling in exploratory learning

George D. Magoulas, Mihaela Cocea, Sergio Gutierrez-Santos, 2012 .

Heuristic target class selection for advancing performance of coverage-based rule learning

Shyi-Ming Chen, Han Liu, Mihaela Cocea, 2019, Inf. Sci..

Collaborative rule generation: An ensemble learning approach

Han Liu, Alexander E. Gegov, Mihaela Cocea, 2016, J. Intell. Fuzzy Syst..

Nature-inspired framework of ensemble learning for collaborative classification in granular computing context

Han Liu, Mihaela Cocea, Han Liu, 2018, Granular Computing.

Nature-inspired framework of ensemble learning for collaborative classification in granular computing context

Han Liu, Ella Haig, 2018, Granular Computing.

Nature and biology inspired approach of classification towards reduction of bias in machine learning

Han Liu, Alexander E. Gegov, Mihaela Cocea, 2016, 2016 International Conference on Machine Learning and Cybernetics (ICMLC).

Nature Inspired Semi-heuristic Learning

Han Liu, Mihaela Cocea, Han Liu, 2018 .

Induction of classification rules by Gini-index based rule generation

Han Liu, Mihaela Cocea, Han Liu, 2018, Inf. Sci..

Identifying user strategies in exploratory learning with evolving task modelling

George D. Magoulas, Mihaela Cocea, G. D. Magoulas, 2010, 2010 5th IEEE International Conference Intelligent Systems.

Partition Clustering for GIS Map Data Protection

Mihaela Cocea, Ahmed Abubahia, Ella Haig, 2014, 2014 IEEE 26th International Conference on Tools with Artificial Intelligence.

Rule Based Networks: An Efficient and Interpretable Representation of Computational Models

Han Liu, Alexander E. Gegov, Mihaela Cocea, 2017, J. Artif. Intell. Soft Comput. Res..

Interpretability of Computational Models for Sentiment Analysis

Han Liu, Alexander Gegov, Mihaela Cocea, 2016, Sentiment Analysis and Ontology Engineering.

Network based rule representation for knowledge discovery and predictive modelling

Han Liu, Alexander E. Gegov, Mihaela Cocea, 2015, 2015 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Cross-System Validation of Engagement Prediction from Log Files

Mihaela Cocea, Stephan Weibelzahl, S. Weibelzahl, 2007, EC-TEL.

Subclass-based semi-random data partitioning for improving sample representativeness

Shyi-Ming Chen, Han Liu, Mihaela Cocea, 2019, Inf. Sci..

Han Liu, Mihaela Cocea, Fatima Chiroma, 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

Text stream mining for Massive Open Online Courses: review and perspectives

Mihaela Cocea, Safwan Shatnawi, Mohamad Medhat Gaber, 2014 .

Evaluation of Rule-Based Learning and Feature Selection Approaches For Classification

Han Liu, Mihaela Cocea, Fatima Chiroma, 2018, ICCSW.

Improving Imbalanced Question Classification Using Structured Smote Based Approach

Alaa Mohasseb, Mohamed Bahy Bader-El-Den, Mihaela Cocea, 2018, 2018 International Conference on Machine Learning and Cybernetics (ICMLC).

Towards Context-Aware Syntax Parsing and Tagging

Alaa Mohasseb, Mihaela Cocea, Mohamed Bader-El-Den, 2019, ICCSW.

Fuzzy rule based systems for interpretable sentiment analysis

Han Liu, Mihaela Cocea, Han Liu, 2017, 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI).

Fuzzy Classification Through Generative Multi-task Learning

Han Liu, Mihaela Cocea, Han Liu, 2018 .

Evaluation of the SA-E System for Analysis of Students’ Real-Time Feedback

Mihaela Cocea, Sanaz Fallahkhair, Nabeela Altrabsheh, 2017, 2017 IEEE 17th International Conference on Advanced Learning Technologies (ICALT).

SA-E: Sentiment Analysis for Education

Mohamed Medhat Gaber, Mihaela Cocea, Nabeela Altrabsheh, 2013 .

Transformation of discriminative single-task classification into generative multi-task classification in machine learning context

Han Liu, Alaa Mohasseb, Mihaela Cocea, 2017, 2017 Ninth International Conference on Advanced Computational Intelligence (ICACI).

Unified Framework for Control of Machine Learning Tasks Towards Effective and Efficient Processing of Big Data

Han Liu, Mihaela Cocea, Alexander Gegov, 2017 .

Ensemble Learning Approaches

Han Liu, Mihaela Cocea, Alexander Gegov, 2016 .

Mining Unit Feedback to Explore Students' Learning Experiences

Mihaela Cocea, Mohamed Bader-El-Den, Zainab Mutlaq Ibrahim, 2018, UKCI.

Detection of Suicidal Twitter Posts

Mihaela Cocea, Han Liu, Fatima Chiroma, 2019, UKCI.

Sentiment Analysis: Towards a Tool for Analysing Real-Time Students Feedback

Mihaela Cocea, Sanaz Fallahkhair, Nabeela Altrabsheh, 2014, 2014 IEEE 26th International Conference on Tools with Artificial Intelligence.

Identification and Classification of Misogynous Tweets Using Multi-classifier Fusion

Han Liu, Mihaela Cocea, Fatima Chiroma, 2018, IberEval@SEPLN.

Decision tree learning based feature evaluation and selection for image classification

Han Liu, Weili Ding, Mihaela Cocea, 2017, 2017 International Conference on Machine Learning and Cybernetics (ICMLC).

Disambiguation of features for improving target class detection from social media text

Fatima Modibbo Chiroma, Ella Haig, Fatima Chiroma, 2020, 2020 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE).

Web feeds recommending system based on social data

Mihaela Cocea, Diego Oliveira Rodrigues, Sagar Gurung, 2015 .

Traditional Machine Learning

Han Liu, Mihaela Cocea, Han Liu, 2018 .

Modeling and Studying Gaming the System with Educational Data Mining

Vincent Aleven, Moffat Mathews, Antonija Mitrovic, 2013 .

Predicting Learning-Related Emotions from Students' Textual Classroom Feedback

Mihaela Cocea, Sanaz Fallahkhair, Nabeela Altrabsheh, 2015, EDM.

User behaviour-driven group formation through case-based reasoning and clustering

George D. Magoulas, Mihaela Cocea, G. D. Magoulas, 2012, Expert Syst. Appl..

Group Formation for Collaboration in Exploratory Learning Using Group Technology Techniques

George D. Magoulas, Mihaela Cocea, G. D. Magoulas, 2010, KES.