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Ella Haig
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- affiliation: University of Portsmouth, UK
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2020 – today
- 2024
- [j21]Marie Oldfield, Murray McMonies, Ella Haig:
The future of condition based monitoring: risks of operator removal on complex platforms. AI Soc. 39(2): 465-476 (2024) - [j20]Michael Barrows, Ella Haig, Dara Conduit:
Sentiment and Objectivity in Iranian State-Sponsored Propaganda on Twitter. IEEE Trans. Comput. Soc. Syst. 11(2): 2359-2368 (2024) - [c67]Faiz Hayat, Safwan Shatnawi, Ella Haig:
Students' Experiences and Challenges During the COVID-19 Pandemic: A Multi-method Exploration. EC-TEL (1) 2024: 152-167 - [e4]Inès Saad, Camille Rosenthal-Sabroux, Faïez Gargouri, Salem Chakhar, Nigel L. Williams, Ella Haig:
Advances in Information Systems, Artificial Intelligence and Knowledge Management - 6th International Conference on Information and Knowledge Systems, ICIKS 2023, Portsmouth, UK, June 22-23, 2023, Proceedings. Lecture Notes in Business Information Processing 486, Springer 2024, ISBN 978-3-031-51663-4 [contents] - 2023
- [c66]Alaa S. A. Alkhafaji, Sanaz Fallahkhair, Ella Haig:
Biometric Evaluation to Measure Brain Activity and Users Experience Using Electroencephalogram (EEG) Device. VISIGRAPP (2: HUCAPP) 2023: 101-108 - [c65]Enguerrand Boitel, Alaa Mohasseb, Ella Haig:
A Comparative Analysis of GPT-3 and BERT Models for Text-based Emotion Recognition: Performance, Efficiency, and Robustness. UKCI 2023: 567-579 - 2022
- [j19]Marie Oldfield, Ella Haig:
Analytical modelling and UK Government policy. AI Ethics 2(3): 389-404 (2022) - [c64]Faiz Hayat, Ella Haig, Safwan Shatnawi:
The Impact of Covid-19 on Student Mental Health and Online Learning Experience. DCAI (2) 2022: 185-190 - 2021
- [c63]Omar Ali, Alexander E. Gegov, Ella Haig, Rinat Khusainov:
Light Syntax Parsing and Fuzzy Systems for Rhetorical Structure Theory Text Segmentation. INISTA 2021: 1-6 - [c62]Ahmed Abubahia, Mohamed Bader-El-Den, Ella Haig:
Evolutionary Computation Approach for Spatial Workload Balancing. SAI (2) 2021: 524-542 - 2020
- [c61]Fatima Chiroma, Ella Haig:
Disambiguation of features for improving target class detection from social media text. FUZZ-IEEE 2020: 1-8 - [c60]Omar Ali, Alexander E. Gegov, Ella Haig, Rinat Khusainov:
Conventional and Structure Based Sentiment Analysis: A Survey. IJCNN 2020: 1-8 - [c59]Omar Ali, Nancy Scheidt, Alexander E. Gegov, Ella Haig, Mo Adda, Benjamin Aziz:
Automated Detection of Racial Microaggressions using Machine Learning. SSCI 2020: 2477-2484
2010 – 2019
- 2019
- [j18]Alaa Mohasseb, Mohamed Bader-El-Den, Mihaela Cocea:
A customised grammar framework for query classification. Expert Syst. Appl. 135: 164-180 (2019) - [j17]Han Liu, Shyi-Ming Chen, Mihaela Cocea:
Subclass-based semi-random data partitioning for improving sample representativeness. Inf. Sci. 478: 208-221 (2019) - [j16]Han Liu, Shyi-Ming Chen, Mihaela Cocea:
Heuristic target class selection for advancing performance of coverage-based rule learning. Inf. Sci. 479: 164-179 (2019) - [c58]Alaa S. A. Alkhafaji, Sanaz Fallahkhair, Mihaela Cocea:
Design Challenges for Mobile and Wearable Systems to Support Learning on-the-move at Outdoor Cultural Heritage Sites. INTERACT (3) 2019: 185-207 - [c57]Zainab Mutlaq Ibrahim, Mohamed Bader-El-Den, Mihaela Cocea:
Improving Imbalanced Students' Text Feedback Classification Using Re-sampling Based Approach. UKCI 2019: 262-267 - [c56]Fatima Chiroma, Mihaela Cocea, Han Liu:
Detection of Suicidal Twitter Posts. UKCI 2019: 307-318 - [c55]Ahmed M. Abubahia, Salem Chakhar, Mihaela Cocea:
Preference Learning Based Decision Map Algebra: Specification and Implementation. UKCI 2019: 342-353 - [c54]Alaa Mohasseb, Mohamed Bader-El-Den, Mihaela Cocea:
Domain Specific Grammar based Classification for Factoid Questions. WEBIST 2019: 177-184 - [i1]Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea:
A Heuristically Modified FP-Tree for Ontology Learning with Applications in Education. CoRR abs/1910.13561 (2019) - 2018
- [j15]Ahmed Abubahia, Mihaela Cocea:
Evaluating the topological quality of watermarked vector maps. Appl. Soft Comput. 71: 849-860 (2018) - [j14]Alaa Mohasseb, Mohamed Bader-El-Den, Mihaela Cocea:
Classification of factoid questions intent using grammatical features. ICT Express 4(4): 239-242 (2018) - [j13]Alaa Mohasseb, Mohamed Bader-El-Den, Mihaela Cocea:
Question categorization and classification using grammar based approach. Inf. Process. Manag. 54(6): 1228-1243 (2018) - [j12]Han Liu, Mihaela Cocea:
Induction of classification rules by Gini-index based rule generation. Inf. Sci. 436-437: 227-246 (2018) - [j11]Alaa S. A. Alkhafaji, Sanaz Fallahkhair, Mihaela Cocea:
Design recommendations for designing smart and ubiquitous learning environments to be used at outdoor cultural heritage. IxD&A 39: 7-43 (2018) - [c53]Zainab Mutlaq Ibrahim, Mohamed Bahy Bader-El-Den, Mihaela Cocea:
A Data Mining Framework for Analyzing Students' Feedback of Assessment. EC-TEL (Doctoral Consortium) 2018 - [c52]Han Liu, Mihaela Cocea:
Fuzzy rule based systems for gender classification from blog data. ICACI 2018: 79-84 - [c51]Alaa Mohasseb, Mohamed Bader-El-Den, Mihaela Cocea:
Towards Context-Aware Syntax Parsing and Tagging. ICCSW 2018: 5:1-5:9 - [c50]Fatima Chiroma, Mihaela Cocea, Han Liu:
Evaluation of Rule-Based Learning and Feature Selection Approaches For Classification. ICCSW 2018: 6:1-6:6 - [c49]Han Liu, Mihaela Cocea, Weili Ding:
J-Measure Based Pruning for Advancing Classification Performance of Information Entropy Based Rule Generation. ICMLC 2018: 485-490 - [c48]Alaa Mohasseb, Mohamed Bahy Bader-El-Den, Mihaela Cocea:
Analysis of The Syntactical Structure Of Web Queries. ICMLC 2018: 557-562 - [c47]Fatima Chiroma, Han Liu, Mihaela Cocea:
Suiciderelated Text Classification With Prism Algorithm. ICMLC 2018: 575-580 - [c46]Fatima Chiroma, Han Liu, Mihaela Cocea:
Text Classification For Suicide Related Tweets. ICMLC 2018: 587-592 - [c45]Alaa Mohasseb, Mohamed Bahy Bader-El-Den, Mihaela Cocea, Han Liu:
Improving Imbalanced Question Classification Using Structured Smote Based Approach. ICMLC 2018: 593-597 - [c44]Alaa Mohasseb, Mohamed Bader-El-Den, Mihaela Cocea:
Detecting Question Intention Using a K-Nearest Neighbor Based Approach. AIAI (Workshops) 2018: 101-111 - [c43]Oluwatobi Fajana, Gareth Owenson, Mihaela Cocea:
TorBot Stalker: Detecting Tor Botnets Through Intelligent Circuit Data Analysis. NCA 2018: 1-8 - [c42]Han Liu, Fatima Chiroma, Mihaela Cocea:
Identification and Classification of Misogynous Tweets Using Multi-classifier Fusion. IberEval@SEPLN 2018: 268-273 - [c41]Zainab Mutlaq Ibrahim, Mohamed Bader-El-Den, Mihaela Cocea:
Mining Unit Feedback to Explore Students' Learning Experiences. UKCI 2018: 339-350 - 2017
- [j10]Ginger Saltos, Mihaela Cocea:
An Exploration of Crime Prediction Using Data Mining on Open Data. Int. J. Inf. Technol. Decis. Mak. 16(5): 1155-1182 (2017) - [j9]Han Liu, Alexander E. Gegov, Mihaela Cocea:
Rule Based Networks: An Efficient and Interpretable Representation of Computational Models. J. Artif. Intell. Soft Comput. Res. 7(2): 111 (2017) - [j8]Ahmed Abubahia, Mihaela Cocea:
Advancements in GIS map copyright protection schemes - a critical review. Multim. Tools Appl. 76(10): 12205-12231 (2017) - [j7]Mihaela Cocea, George D. Magoulas:
Design and Evaluation of a Case-Based System for Modelling Exploratory Learning Behavior of Math Generalization. IEEE Trans. Learn. Technol. 10(4): 436-449 (2017) - [c40]Chris Jefferson, Han Liu, Mihaela Cocea:
Fuzzy approach for sentiment analysis. FUZZ-IEEE 2017: 1-6 - [c39]Han Liu, Mihaela Cocea, Alaa Mohasseb, Mohamed Bader:
Transformation of discriminative single-task classification into generative multi-task classification in machine learning context. ICACI 2017: 66-73 - [c38]Han Liu, Mihaela Cocea:
Fuzzy rule based systems for interpretable sentiment analysis. ICACI 2017: 129-136 - [c37]Nabeela Altrabsheh, Mihaela Cocea, Sanaz Fallahkhair, Khaldoon Dhou:
Evaluation of the SA-E System for Analysis of Students' Real-Time Feedback. ICALT 2017: 60-61 - [c36]Han Liu, Mihaela Cocea, Weili Ding:
Decision tree learning based feature evaluation and selection for image classification. ICMLC 2017: 569-574 - [c35]Alaa Mohasseb, Mohamed Bader-El-Den, Han Liu, Mihaela Cocea:
Domain specific syntax based approach for text classification in machine learning context. ICMLC 2017: 658-663 - [c34]Alaa S. A. Alkhafaji, Mihaela Cocea, Jonathan Crellin, Sanaz Fallahkhair:
Guidelines for designing a smart and ubiquitous learning environment with respect to cultural heritage. RCIS 2017: 334-339 - [c33]Alaa Mohasseb, Mohamed Bader-El-Den, Andreas Kanavos, Mihaela Cocea:
Web Queries Classification Based on the Syntactical Patterns of Search Types. SPECOM 2017: 809-819 - 2016
- [j6]Han Liu, Alexander E. Gegov, Mihaela Cocea:
Collaborative rule generation: An ensemble learning approach. J. Intell. Fuzzy Syst. 30(4): 2277-2287 (2016) - [c32]Alaa S. A. Alkhafaji, Sanaz Fallahkhair, Mihaela Cocea, Jonathan Crellin:
A Survey Study to Gather Requirements for Designing a Mobile Service to Enhance Learning from Cultural Heritage. EC-TEL 2016: 547-550 - [c31]Han Liu, Alexander E. Gegov, Mihaela Cocea:
Nature and biology inspired approach of classification towards reduction of bias in machine learning. ICMLC 2016: 588-593 - [c30]Han Liu, Alexander E. Gegov, Mihaela Cocea:
Complexity Control in Rule Based Models for Classification in Machine Learning Context. UKCI 2016: 125-143 - [p1]Han Liu, Mihaela Cocea, Alexander E. Gegov:
Interpretability of Computational Models for Sentiment Analysis. Sentiment Analysis and Ontology Engineering 2016: 199-220 - 2015
- [j5]Mihaela Cocea, George D. Magoulas:
Participatory Learner Modelling Design: A methodology for iterative learner models development. Inf. Sci. 321: 48-70 (2015) - [c29]Nabeela Altrabsheh, Mihaela Cocea, Sanaz Fallahkhair:
Predicting Students' Emotions Using Machine Learning Techniques. AIED 2015: 537-540 - [c28]Ahmed Abubahia, Mihaela Cocea:
A Clustering Approach for Protecting GIS Vector Data. CAiSE 2015: 133-147 - [c27]Nabeela Altrabsheh, Mihaela Cocea, Sanaz Fallahkhair:
Detecting Sarcasm from Students' Feedback in Twitter. EC-TEL 2015: 551-555 - [c26]Nabeela Altrabsheh, Mihaela Cocea, Sanaz Fallahkhair:
Predicting Learning-Related Emotions from Students' Textual Classroom Feedback. EDM 2015: 436-439 - [c25]Han Liu, Alexander E. Gegov, Mihaela Cocea:
Network based rule representation for knowledge discovery and predictive modelling. FUZZ-IEEE 2015: 1-8 - [c24]Han Liu, Alexander E. Gegov, Mihaela Cocea:
Hybrid ensemble learning approach for generation of classification rules. ICMLC 2015: 377-382 - [c23]Ahmed M. Abubahia, Mihaela Cocea:
Exploiting Vector Map Properties for GIS Data Copyright Protection. ICTAI 2015: 575-582 - [e3]Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Göker:
Advances in Social Media Analysis. Studies in Computational Intelligence 602, Springer 2015, ISBN 978-3-319-18457-9 [contents] - 2014
- [c22]Nabeela Altrabsheh, Mihaela Cocea, Sanaz Fallahkhair:
Learning Sentiment from Students' Feedback for Real-Time Interventions in Classrooms. ICAIS 2014: 40-49 - [c21]Alaa S. A. Alkhafaji, Sanaz Fallahkhair, Mihaela Cocea:
Smart Ambient: A Pilot Study to Contextualise a Location-Based Mobile Application to Support Informal Learning from Cultural Heritage Sites. ICALT 2014: 199-200 - [c20]Nabeela Altrabsheh, Mihaela Cocea, Sanaz Fallahkhair:
Sentiment Analysis: Towards a Tool for Analysing Real-Time Students Feedback. ICTAI 2014: 419-423 - [c19]Ahmed Abubahia, Mihaela Cocea:
Partition Clustering for GIS Map Data Protection. ICTAI 2014: 830-837 - [c18]Safwan Shatnawi, Mohamed Medhat Gaber, Mihaela Cocea:
Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology. IDEAL 2014: 27-35 - 2013
- [e2]Mohamed Medhat Gaber, Nirmalie Wiratunga, Ayse Göker, Mihaela Cocea:
Proceedings of the BCS SGAI Workshop on Social Media Analysis 2013 co-located with 33rd Annual International Conference of the British Computer Society's Specialist Group on Artificial Intelligence (BCS SGAI 2013), Cambridge, UK, December 10, 2013. CEUR Workshop Proceedings 1110, CEUR-WS.org 2013 [contents] - 2012
- [j4]Mihaela Cocea, George D. Magoulas:
User behaviour-driven group formation through case-based reasoning and clustering. Expert Syst. Appl. 39(10): 8756-8768 (2012) - [c17]Mihaela Cocea, George D. Magoulas:
Learning Task-Related Strategies from User Data through Clustering. ICALT 2012: 400-404 - [e1]Mohamed Medhat Gaber, Mihaela Cocea, Stephan Weibelzahl, Ernestina Menasalvas, Cyril Labbé:
Proceedings of the 1st International Workshop on Sentiment Discovery from Affective Data, SDAD@ECML/PKDD 2012, Bristol, UK, September 28, 2012. CEUR Workshop Proceedings 917, CEUR-WS.org 2012 [contents] - 2011
- [j3]Mihaela Cocea, Stephan Weibelzahl:
Disengagement Detection in Online Learning: Validation Studies and Perspectives. IEEE Trans. Learn. Technol. 4(2): 114-124 (2011) - [c16]Mihaela Cocea, George D. Magoulas:
Context-Dependent Feedback Prioritisation in Exploratory Learning Revisited. UMAP 2011: 62-74 - 2010
- [c15]Ryan Shaun Joazeiro de Baker, Adriana M. J. B. de Carvalho, Jay Raspat, Vincent Aleven, Albert T. Corbett, Kenneth R. Koedinger, Mihaela Cocea, Arnon Hershkovitz:
Educational data mining methods for studying student behaviors minute by minute across an entire school year. ICLS 2010: 47-48 - [c14]Mihaela Cocea, George D. Magoulas:
Identifying user strategies in exploratory learning with evolving task modelling. IEEE Conf. of Intelligent Systems 2010: 13-18 - [c13]Sergio Gutiérrez Santos, Mihaela Cocea, George D. Magoulas:
A Case-Based Reasoning Approach to Provide Adaptive Feedback in Microworlds. Intelligent Tutoring Systems (2) 2010: 330-333 - [c12]Mihaela Cocea, George D. Magoulas:
Group Formation for Collaboration in Exploratory Learning Using Group Technology Techniques. KES (2) 2010: 103-113 - [c11]Mihaela Cocea, Sergio Gutiérrez Santos, George D. Magoulas:
Adaptive Modelling of Users' Strategies in Exploratory Learning Using Case-Based Reasoning. KES (2) 2010: 124-134
2000 – 2009
- 2009
- [j2]Mihaela Cocea, George D. Magoulas:
Hybrid model for learner modelling and feedback prioritisation in exploratory learning. Int. J. Hybrid Intell. Syst. 6(4): 211-230 (2009) - [j1]Mihaela Cocea, Stephan Weibelzahl:
Log file analysis for disengagement detection in e-Learning environments. User Model. User Adapt. Interact. 19(4): 341-385 (2009) - [c10]Mihaela Cocea, Arnon Hershkovitz, Ryan Shaun Joazeiro de Baker:
The Impact of Off-task and Gaming Behaviors on Learning: Immediate or Aggregate? AIED 2009: 507-514 - [c9]Mihaela Cocea, George D. Magoulas:
Identifying strategies in user's exploratory learning behaviour for mathematical generalisation. AIED 2009: 626-628 - [c8]Darren Pearce, Eirini Geraniou, Sergio Gutiérrez Santos, Manolis Mavrikis, Mihaela Cocea, Celia Hoyles, Ken Kahn, George D. Magoulas, Richard Noss, Alexandra Poulovassilis, Niall Winters:
An Eco-Friendly Intelligent Environment for Exploring Mathematical Generalisation. AIED 2009: 804 - [c7]Mihaela Cocea, George D. Magoulas:
Context-Dependent Personalised Feedback Prioritisation in Exploratory Learning for Mathematical Generalisation. UMAP 2009: 271-282 - 2008
- [c6]Mihaela Cocea:
Learner Modelling in Exploratory Learning for Mathematical Generalisation. AH 2008: 394-399 - 2007
- [c5]Mihaela Cocea:
Learning Engagement: What Actions of Learners Could Best Predict It? AIED 2007: 683-684 - [c4]Mihaela Cocea, Stephan Weibelzahl:
Cross-System Validation of Engagement Prediction from Log Files. EC-TEL 2007: 14-25 - [c3]Mihaela Cocea, Stephan Weibelzahl:
Eliciting Motivation Knowledge from Log Files Towards Motivation Diagnosis for Adaptive Systems. User Modeling 2007: 197-206 - 2006
- [c2]Mihaela Cocea:
Assessment of Motivation in Online Learning Environments. AH 2006: 414-418 - [c1]Mihaela Cocea, Stephan Weibelzahl:
Can Log Files Analysis Estimate Learners' Level of Motivation? LWA 2006: 32-35
Coauthor Index
aka: Mohamed Bader-El-Den
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last updated on 2024-10-07 22:24 CEST by the dblp team
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