| Semi-random partitioning of data into training and test sets in granular computing context H Liu, M Cocea Granular Computing 2, 357-386, 2017 | 161 | 2017 |
| SA-E: sentiment analysis for education N Altrabsheh, M Gaber, M Cocea 5th KES International Conference on Intelligent Decision Technologies, 353 - 362, 2013 | 159 | 2013 |
| 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 | 147 | 2009 |
| Log file analysis for disengagement detection in e-Learning environments M Cocea, S Weibelzahl User Modeling and User-Adapted Interaction 19, 341-385, 2009 | 137 | 2009 |
| Can log files analysis estimate learners' level of motivation? M Cocea, S Weibelzahl LWA 2006. Lernen-Wissensentdeckung - Adaptivität, 32-35, 2006 | 131* | 2006 |
| Rule-based systems: a granular computing perspective H Liu, A Gegov, M Cocea Granular Computing 1 (4), 259–274, 2016 | 129 | 2016 |
| 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 | 128 | 2014 |
| Disengagement detection in online learning: Validation studies and perspectives M Cocea, S Weibelzahl IEEE transactions on learning technologies 4 (2), 114-124, 2010 | 124 | 2010 |
| 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 | 109 | 2014 |
| Cross-system validation of engagement prediction from log files M Cocea, S Weibelzahl Creating New Learning Experiences on a Global Scale: Second European …, 2007 | 89 | 2007 |
| Rule Based Systems for Big Data: A machine learning approach H Liu, A Gegov, M Cocea Springer, 2016 | 87 | 2016 |
| Question categorization and classification using grammar based approach A Mohasseb, M Bader-El-Den, M Cocea Information Processing & Management 54 (6), 1228-1243, 2018 | 83 | 2018 |
| Fuzzy Approach for Sentiment Analysis C Jefferson, H Liu, M Cocea IEEE International Conference on Fuzzy Systems, 2017 | 83 | 2017 |
| Fuzzy Rule Based Systems for Interpretable Sentiment Analysis H Liu, M Cocea The 9th International Conference on Advanced Computational Intelligence, 2017 | 78 | 2017 |
| Eliciting motivation knowledge from log files towards motivation diagnosis for Adaptive Systems M Cocea, S Weibelzahl User Modeling 2007: 11th International Conference, UM 2007, Corfu, Greece …, 2007 | 68 | 2007 |
| Motivation: included or excluded from E-learning M Cocea, S Weibelzahl International Conference on Cognition and Exploratory Learning in Digital …, 2006 | 55 | 2006 |
| Fuzzy information granulation towards interpretable sentiment analysis H Liu, M Cocea Granular Computing 2, 289-302, 2017 | 53 | 2017 |
| An exploration of crime prediction using data mining on open data G Saltos, M Cocea International Journal of Information Technology and Decision Making, 2017 | 50 | 2017 |
| Advancements in GIS map copyright protection schemes-a critical review A Abubahia, M Cocea Multimedia Tools and Applications 76, 12205-12231, 2017 | 48 | 2017 |
| Granular computing based approach for classification towards reduction of bias in ensemble learning H Liu, M Cocea Granular Computing, 2017 | 48 | 2017 |
Han LiuShenzhen University在 szu.edu.cn 的电子邮件经过验证
