Publications

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Most cited papers

Cocea, M., Hershkovitz, A., Baker, R.S.J.d. The Impact of Off-task and Gaming Behaviors on Learning: Immediate or Aggregate? In Proceedings of the 14th International Conference on Artificial Intelligence in Education (AIED 2009), pp. 507-514, 2009. [pdf] (86 citations on 20/10/17)

Cocea, M., Weibelzahl, S. Log file analysis for disengagement detection in e-Learning environments. User Modeling and User-Adapted Interaction, 19 (4), 341-385, 2009. [pdf] (68 citations on 20/10/17)

Cocea, M., Weibelzahl, S., Can Log Files Analysis Estimate Learner's Level of Motivation? In Schaaf, M. and Althoff, K-D. LWA 2006. Lernen-Wissensentdeckung - Adaptivität. Universität Hildesheim, pp. 32-35, 2006. [pdf] (67 citations on 20/10/17)

Cocea, M., Weibelzahl, S. Disengagement Detection in On-line Learning: Validation Studies and Perspectives. IEEE Transactions on Learning Technologies 4(2), 114 -124, 2011. [pdf] (49 citations on 20/10/17)

Cocea, M., Weibelzahl, S., Eliciting motivation knowledge from log files towards motivation diagnosis for Adaptive Systems. In Conati, C., McCoy, K., Paliouras, G. (eds.) User Modelling 2007. Proceedings of 11th International Conference, UM 2007, pp. 197-206, Springer, Berlin, 2007. [pdf] (45 citations on 20/10/17)

Liu, H., Gegov, A. and Cocea, M. Rule Based Systems: A Granular Computing Perspective. Granular Computing, 1 (4), pp. 259-274, 2016, Springer[pdf] (42 citations on 20/10/17)

Cocea, M., Weibelzahl, S., Cross-System Validation of Engagement Prediction from Log Files. In Duval, E., Klamma, R. and Wolpers, M. (Eds.) Creating New Learning Experiences on a Global Scale, Second European Conference on Technology Enhanced Learning, EC-TEL 2007, pp. 14-25, Springer Berlin/Heidelberg, 2007. [pdf] (40 citations as of 20/10/17)

2017

Liu, H., Cocea, M., Semi-Random Partitioning of Data into Training and Test Sets in Granular Computing Context, Granular Computing, in press. [link]

Cocea, M., Magoulas, G.D. Design and evaluation of a case-based system for modelling exploratory learning behaviour of math generalisation, IEEE Transactions on Learning Technologies, in press. [link] [pdf]

Liu, H., Cocea, M., Fuzzy Information Granulation towards Interpretable Sentiment Analysis, Granular Computing, in press. [link]

Cocea, M. Affect in social media: the role of audience and the presence of contempt in cyberbullying. Behavioral and Brain Sciences, commentary article, in press.

Saltos G., Cocea, M. An exploration of crime prediction using data mining on open data. International Journal of Information Technology and Decision Making, 16 (5), 1155-1181, 2017. [link]

Liu, H., Gegov, A. and Cocea, M. Unified Framework for Control of Machine Learning Tasks towards Effective and Efficient Processing of Big Data. In: W. Pedrycz and S. M. Chen (eds.) Data Science and Big Data: An Environment of Computational Intelligence, Studies in Big Data, vol. 24, pp. 123-140, 2017, Springer.

Liu, H. and Cocea, M. Granular Computing Based Approach for Classification towards Reduction of Bias in Ensemble Learning. Granular Computing, 2 (3), 131-139, 2017, Springer [link]

Liu, H., Cocea, M., Ding, W., Decision Tree Learning Based Feature Evaluation and Selection for Image Classification. The 16th International Conference on Machine Learning and Cybernetics (ICMLC), in press. [pdf] (Finalist for Lotfi Zadeh Best Paper Award)

Mohasseb, A., Bader, M., Liu, H., Cocea, M. Domain Specific Syntax Based Approach for Text Classification in Machine Learning Context. The 16th International Conference on Machine Learning and Cybernetics (ICMLC), in press. [pdf]

Altrabsheh, N., Cocea, M., Fallahkhair, S., Dhou, K. Evaluation of the SA-E system for analysis of students' real-time feedback. The 17th IEEE International Conference on Advanced Learning Technologies (ICALT), pp. 60-61, 2017.

Alkhafaji, A., Fallahkhair, S., Cocea, M., Crellin, J. Guidelines for designing a smart and ubiquitous learning environment with respect to cultural heritage. The 11th IEEE International Conference on Research Challenges in Information Science , pp. 334-339, 2017.

H. Liu and M. Cocea, Fuzzy Rule Based Systems for Interpretable Sentiment Analysis. In: International Conference on Advanced Computational Intelligence, pp. 129-136, 2017.

H. Liu, M. Cocea, A. Mohasseb and M. Bader, Transformation of Discriminative Single-Task Classification into Generative Multi-Task Classification in Machine Learning Context. In: International Conference on Advanced Computational Intelligence, pp. 66-73, 2017.

Abubahia, A. and Cocea, M. Advancements in GIS map copyright protection schemes - a critical review. Multimedia Tools and Applications, 76 (10), 12205-12231, 2017. [pdf] [link]

Liu, H., Gegov, A. and Cocea, M. Rule Based Networks: An Efficient and Interpretable Representation of Computational Models. Journal of Artificial Intelligence and Soft Computing Research, 7 (2), 111-123, 2017 [pdf]

2016

Liu, H., Gegov, A. and Cocea, M. Complexity Control in Rule Based Models for Classification in Machine Learning Context, The 16th UK Workshop on Computational Intelligence (UKCI), Advances in Intelligent Systems and Computing (vol. 513), Springer, pp. 125-143, 2016 [pdf]

Liu, H., Gegov, A. and Cocea, M. Nature and Biology Inspired Approach of Classification towards Reduction of Bias in Machine Learning, The 15th International Conference on Machine Learning and Cybernetics (ICMLC), 2016, pp. 588-593 [pdf] [Nominated for Best Paper Award]

Alkhafaji, A., Fallahkhair, S., Cocea, M. and Crellin, J. A survey study to gather requirements for designing a mobile service to enhance learning from cultural heritage. The 11th European Conference on Technology Enhanced Learning (EC-TEL), 547-550, 2016. [pdf]

Liu, H., Gegov, A. and Cocea, M. Rule Based Systems: A Granular Computing Perspective. Journal of Granular Computing, 1 (4), pp. 259-274, 2016, Springer[pdf]

Liu, H., Gegov A. and Cocea, M. Collaborative Rule Generation: An Ensemble Learning Approach. Journal of Intelligent and Fuzzy Systems, 30(4), 2277-2287, 2016. [pdf] Featured in Advances in Engineering

Liu, H., Cocea, M. and Gegov A. Interpretability of Computational Models for Sentiment Analysis. In: W. Pedrycz and S. M. Chen (eds.) Sentiment Analysis and Ontology Engineering: An Environment of Computational Intelligence, Studies in Computational Intelligence, Springer, pp. 199-220, 2016.

Rule Based Systems for Big Data: A Machine Learning Approach Liu, H., Gegov, A. and Cocea, M. Rule Based Systems for Big Data: A Machine Learning Approach. Studies in Big Data, vol. 13, Springer, 2016.





2015

Abubahia, A. and Cocea, M. Exploiting Vector Map Properties for GIS Data Copyright Protection. The 27th IEEE International Conference on Tools with Artificial Intelligence (ICTAI), pp. 575 - 582, 2015 [pdf]

Alkhafaji, A., Fallahkhair, S. and Cocea, M. Towards Gathering Initial Requirements of Developing a Mobile Service to Support Informal Learning at Cultural Heritage Sites. International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA) , 2015. [pdf]

Altrabsheh, N., Cocea, M. and Fallahkhair, S. Detecting sarcasm from students' feedback in Twitter. The 10th European Conference on Technology Enhanced Learning (EC-TEL), pp. 551-555, 2015. [pdf]

Cocea, M., Magoulas, G.D. Participatory Learner Modelling Design: A methodology for iterative learner models development. Information Sciences, 321, 48-70, 2015. [pdf]


Advances in Social Media Analysis Gaber, M., Cocea, M., Wiratunga, N. and Goker, A. (eds.) Advances in Social Media Analysis, Studies in Computational Intelligence, vol. 602, Springer.

Liu, H., Gegov, A. and Cocea, M. Network based rule representation for knowledge discovery and predictive modelling. The IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1-8, 2015. [pdf]

Liu, H., Gegov, A. and Cocea, M. Hybrid ensemble learning approach for generation of classification rules. The International Conference on Machine Learning and Cybernetics (ICMLC), vol. 1, 377-382, 2015. [pdf]

Altrabsheh, N., Cocea, M. and Fallahkhair, S. Predicting learning-related emotions from students' textual classroom feedback via Twitter. The 8th International Conference on Educational Data Mining (EDM), pp. 436-440, 2015. [pdf]

Altrabsheh, N., Cocea, M. and Fallahkhair, S. Predicting students' emotions using machine learning techniques. The 17th International Conference on Artificial Intelligence in Education (AIED), pp. 537-540, 2015. [pdf]

Abubahia, A. and Cocea, M. A clustering approach for protecting GIS vector data. The 27th International Conference on Advanced Information Systems Engineering (CAiSE), pp. 133-147, 2015. [pdf]

2014

Shatnawi, S., Gaber, M. and Cocea M. Text Stream Mining for Massive Open Online Courses: Review and Perspectives. Systems Science and Control Engineering: An Open Access Journal, 2(1), 664-676, 2014. [link]

Abubahia, A. and Cocea, M. Partition Clustering for GIS Map Data Protection. IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI), pp.830-837, 2014. [pdf]

Altrabsheh, N., Cocea, M. and Fallahkhair, S. Sentiment Analysis: Towards a Tool for Analysing Real-Time Students Feedback. IEEE 26th International Conference on Tools with Artificial Intelligence (ICTAI), pp. 419-423, 2014. [pdf]

Altrabsheh, N., Cocea, M. and Fallahkhair, S. Learning Sentiment from Students' Feedback for Real-Time Interventions in Classrooms. The International Conference on Adaptive and Intelligent Systems - ICAIS , Springer International Publishing, pp. 40-49, 2014. [pdf]

Shatnawi, S., Gaber, M. and Cocea, M. Automatic Content Related Feedback for MOOCs Based on Course Domain Ontology. Intelligent Data Engineering and Automated Learning-IDEAL, Springer International Publishing, pp. 27-35, 2014. [pdf]

Alkhafaji, A., Fallahkhair, S. and Cocea, M. Smart ambient: a pilot study to contextualise a location-based mobile application to support informal learning from cultural heritage sites. IEEE International Conference on Advanced Learning Technologies, 2014. [pdf]

2013

Gaber, M., Wiratunga, N., Goker, A. and Cocea, M. (eds.) Proceedings of the BCS SGAI Workshop on Social Media Analysis 2013 (BCS SGAI SMA), 2013. CEUR Workshop Proceedings, vol. 1110.

Baker, R.S.J.d., Corbett, A.T., Roll, I., Koedinger, K.R., Aleven, V., Cocea, M., Hershkovitz, A., de Carvalho, A.M.J.B., Mitrovic, A., Mathews, M. Modeling and Studying Gaming the System with Educational Data Mining. In Azevedo, R., & Aleven, V. (Eds.) International Handbook of Metacognition and Learning Technologies. Springer International Handbooks of Education, Springer, New York, pp. 97-115, 2013.

Altrabsheh, N., Gaber, M. and Cocea, M. SA-E: Sentiment Analysis for Education. The 5th KES International Conference on Intelligent Decision Technologies (KES-IDT), IOS Press, pp. 353 - 362, 2013. [pdf]

2012

Cocea, M., Magoulas, G.D. User Behaviour-driven Group Formation through Case-based Reasoning and Clustering. Expert Systems with Applications, 39(10), 8756-8768, 2012. [pdf]

Gaber, M., Cocea, M., Weibelzahl, S., Menasalvas, E. and Labbé, C. (eds.) Proceedings of the First International Workshop on Sentiment Discovery from Affective Data ( SDAD), 2012. CEUR Workshop Proceedings, vol. 917.

Cocea, M., Magoulas, G.D. Learning Task-related Strategies from User Data through Clustering. The 12th IEEE International conference on Advanced Learning Technologies (ICALT), IEEE Computer Society, pp. 400-404, 2012. [pdf]

Cocea, M., Gutierrez-Santos, S., Magoulas, G.D, Case-based Reasoning Approach to Adaptive Modelling in Exploratory Learning. In T. Watanabe and L.C Jain (eds.) Innovations in Intelligent Machines - 2. Studies in Computational Intelligence,vol. 376, Springer, Berlin, pp. 167-184, 2012. [pdf]

2011

Cocea, M., Weibelzahl, S. Disengagement Detection in On-line Learning: Validation Studies and Perspectives. IEEE Transactions on Learning Technologies 4(2), 114 -124, 2011. [pdf]

Cocea, M., Magoulas, G.D. Context-dependent Feedback Prioritisation in Exploratory Learning Revisited. User Modelling, Adaptation and Personalisation: 19th International Conference (UMAP 2011) LNCS 6787. Springer, Berlin, pp. 62-74, 2011. [pdf]

Cocea, M. User Modelling and Adaptation in Exploratory Learning. PhD Thesis, Birkbeck College, University of London, 2011. [pdf]

2010

Cocea, M., Weibelzahl, S., Validation Issues in Educational Data Mining - the case of HTML-Tutor and iHelp. In C. Romero, S. Ventura, S.R. Viola, M. Pechenizkiy, R.S.J.d. Baker (eds.) Handbook of Educational Data Mining, pp. 377- 388, 2010. [pdf]

Mavrikis, M., D'Mello, S., Porayska-Pomsta, K., Cocea, M, Graesser, A., Modelling Affect by Mining Students' Interactions with Learning Environments. In C. Romero, S. Ventura, S.R. Viola, M. Pechenizkiy, R.S.J.d. Baker (eds.) Handbook of Educational Data Mining, pp. 231- 144, 2010.

Cocea, M., Gutierrez-Santos, S., Magoulas, G.D. Adaptive Modelling of Users' Strategies in Exploratory Learning using Case-based Reasoning. In The 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, KES 2010, pp. 124 - 134 [Best Student PaperAward] [pdf]

Cocea, M., Magoulas, G.D. Group Formation for Collaboration in Exploratory Learning using Group Technology Techniques. In The 14th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, KES 2010, pp. 103 - 113, 2010. [pdf]

Cocea, M., Magoulas, G.D. Identifying User Strategies in Exploratory Learning with Evolving Task Modelling. In The 5th IEEE International Conference on Intelligent Systems, IS 2010, pp. 13 - 18, 2010. [pdf]

Gutierrez-Santos, S., Cocea, M., Magoulas, G.D. A Case-Based Reasoning Approach to Provide Adaptive Feedback in Microworlds. In The 10th International Conference on Intelligent Tutoring Systems, ITS 2010, pp. 330 - 333, 2010. [pdf]

Baker, RSJd., de Carvalho, A.M.J.B, Raspat, J., Aleven, V., Corbett, A.T., Koedinger, K.R., Cocea, M., Hershkovitz, A. Educational data mining methods for studying student behaviors minute by minute across an entire school year. In The 9th International Conference of the Learning Sciences, ICLS 2010, pp. 47 - 48, 2010.

2009

Cocea, M., Magoulas, G.D. Hybrid Model for Learner Modelling and Feedback Prioritisation in Exploratory Learning. The International Journal of Hybrid Intelligent Systems 6(4), 211 - 230, 2009. [pdf]

Cocea, M., Weibelzahl, S. Log file analysis for disengagement detection in e-Learning environments. User Modeling and User-Adapted Interaction, 19 (4), 341-385, 2009. [pdf]

Cocea, M., Magoulas, G.D. Context-dependent Personalised Feedback Prioritisation in Exploratory Learning for Mathematical Generalisation. In User Modeling, Adaptation, and Personalization, 17th International Conference, UMAP 2009, (formerly UM and AH), pp. 271-282, 2009. [pdf]

Cocea, M., Hershkovitz, A., Baker, R.S.J.d. The Impact of Off-task and Gaming Behaviors on Learning: Immediate or Aggregate? In Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, Proceedings of the 14th International Conference on Artificial Intelligence in Education (AIED 2009), pp. 507-514, 2009. [pdf]

Cocea, M., Magoulas, G.D. Identifying strategies in users' exploratory learning behaviour for mathematical generalisation. In Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, Proceedings of the 14th International Conference on Artificial Intelligence in Education (AIED 2009), pp. 626-628, 2009. [pdf]

Pearce, D., Geraniou, E., Gutiérrez Santos, S., Mavrikis, M., Cocea, M., Hoyles, C., Kahn, K., Magoulas, G.D., Noss, R., Poulovassilis, A., Winters, N. An Eco-Friendly Intelligent Environment for Exploring Mathematical Generalisation. In Artificial Intelligence in Education: Building Learning Systems that Care: From Knowledge Representation to Affective Modelling, Proceedings of the 14th International Conference on Artificial Intelligence in Education (AIED 2009), p. 804. 2009 (interactive event).

Cocea, M., Gutierrez-Santos, S. Magoulas, G.D., Enhancing Modelling of Users' Strategies in Exploratory Learning through Case-base Maintenance. In Proceedings of The 14th UK Workshop on Case-Based Reasoning, UKCBR 2009, pp. 2-13, 2009. [pdf]

Cocea, M., Magoulas, G., Task-oriented modeling of learner behaviour in exploratory learning for mathematical generalisation. In Proceedings of The 2nd International Workshop on Intelligent Support for Exploratory Environments (ISEE'09), in conjunction with the 14th International Conference on Artificial Intelligence in Education (AIED 2009), pp. 16-24, 2009. [pdf]

2008

Cocea, M., A Modelling Framework for Constructivist Learning in Exploratory Learning Environments. In Young Researchers Track Proceedings of the 9th International Conference on Intelligent Tutoring Systems, ITS 2008, pp. 157-166, 2008. [pdf]

Cocea, M., Learner Modelling in Exploratory Learning for Mathematical Generalisation. In Proceedings of Adaptive Hypermedia and Adaptive Web-Based Systems, 5th International Conference, AH 2008, pp. 394-399, 2008. [pdf]

Cocea, M., Gutierrez-Santos, S. and Magoulas, G., Challenges for Intelligent Support in Exploratory Learning: the case of ShapeBuilder. In Proceedings of The 1st International Workshop on Intelligent Support for Exploratory Environments (ISEE'08), in conjunction with the third European Conference on Technology-Enhanced Learning (EC-TEL '08), 2008. [pdf]

Cocea, M., Magoulas, G., Combining Intelligent Methods for Learner Modelling in Exploratory Learning Environments. In Proceedings of The 1st International Workshop on Combinations of Intelligent Methods and Applications (CIMA 2008), in conjunction with the 18th European Conference on Artificial Intelligence (ECAI-08), pp. 13-18, 2008. [pdf]

2007

Cocea, M., Weibelzahl, S., Cross-System Validation of Engagement Prediction from Log Files. In Duval, E., Klamma, R. and Wolpers, M. (Eds.) Creating New Learning Experiences on a Global Scale, Second European Conference on Technology Enhanced Learning, EC-TEL 2007, pp. 14-25, Springer Berlin/Heidelberg, 2007. [pdf]

Cocea, M., Weibelzahl, S., Learning Engagement: What Actions of Learners Could Best Predict It? In Proceedings of AIED 2007, 13th International Conference on Artificial Intelligence in Education, pp. 683-684, 2007. [pdf]

Cocea, M., Weibelzahl, S., Eliciting motivation knowledge from log files towards motivation diagnosis for Adaptive Systems. In Conati, C., McCoy, K., Paliouras, G. (eds.) User Modelling 2007. Proceedings of 11th International Conference, UM 2007, pp. 197-206, Springer, Berlin, 2007. [pdf]

Cocea, M. MSc - Assessment of Motivation in Online Learning Environments. Masters by Research Dissertation, National College of Ireland, 2007. [pdf]

2006

Cocea, M., Computer self-efficacy. In Scientific Studies and Approaches in Humanistic and Economy Sciences, Ed. Lumen, Iasi, pp. 95-163, 2006.

Cocea, M., Weibelzahl, S., Motivation - Included or Excluded From e-Learning. In Kinshuk, Sampson, D. G., Spector J.M., Isaias, P., Cognition and Exploratory Learning in Digital Age, CELDA 2006 Proceedings, pp. 435-437, 2006. [pdf]

Cocea, M., Extendibility of Educational Systems to Include a Learner-Adaptive Motivational Module. In Radu Vasile, Risto Kimari, Diana Andone (Eds.). The 12th NETTIES (Networking Entities) International Conference: The Future of E:Advanced Educational Technologies for a Future e-Europe, Ed. Orizonturi Universitare, Timisoara, pp. 195-198, 2006. [pdf]

Cocea, M., Assessment of motivation in online learning environments. In: V. Wade, H. Ashman, B. Smith (Eds.) Adaptive Hypermedia and Adaptive Web-Based Systems, 4th International Conference AH 2006 Proceedings, Springer-Verlag, pp. 414-418, 2006. [pdf]

Cocea, M., Weibelzahl, S., Can Log Files Analysis Estimate Learner's Level of Motivation? In Schaaf, M. and Althoff, K-D. LWA 2006. Lernen-Wissensentdeckung - Adaptivität. Universität Hildesheim, pp. 32-35, 2006. [pdf]

2004

Cocea, M. Path Analysis for Computer Self-efficacy. MSc Thesis, "Al.I.Cuza" University of Iasi, 2004.

2003

Cocea, M. Statistical approach to studying formative effects in computer science. BSc dissertation, "Al.I.Cuza" University of Iasi, 2003.

2002

Cocea, M. Computerised Version of The Battery of Tests for Education and Career Guidance. BSc dissertation, "Al.I.Cuza" University of Iasi, 2002.