Advances in intelligent tutoring systems R Nkambou, R Mizoguchi, J Bourdeau Springer Science & Business Media, 2010 | 408 | 2010 |
Advances in Intelligent Tutoring Systems R Nkambou Springer Verlag, 2010 | 400 | 2010 |
CMRules: Mining sequential rules common to several sequences P Fournier-Viger, U Faghihi, R Nkambou, EM Nguifo Knowledge-Based Systems 25 (1), 63-76, 2012 | 185* | 2012 |
Building Domain Obtologies from Text for Educational Purposes A Zouaq, R Nkambou, C Frasson LECTURE NOTES IN COMPUTER SCIENCE 4753, 393, 2007 | 155 | 2007 |
RuleGrowth: mining sequential rules common to several sequences by pattern-growth P Fournier-Viger, R Nkambou, VSM Tseng Proceedings of the 2011 ACM symposium on applied computing, 956-961, 2011 | 146 | 2011 |
A survey of high utility itemset mining P Fournier-Viger, J Chun-Wei Lin, T Truong-Chi, R Nkambou High-utility pattern mining: Theory, algorithms and applications, 1-45, 2019 | 112 | 2019 |
Evaluating the generation of domain ontologies in the knowledge puzzle project A Zouaq, R Nkambou IEEE Transactions on knowledge and data engineering 21 (11), 1559-1572, 2009 | 110 | 2009 |
Building intelligent tutoring systems for ill-defined domains P Fournier-Viger, R Nkambou, EM Nguifo Advances in intelligent tutoring systems, 81-101, 2010 | 102 | 2010 |
A knowledge discovery framework for learning task models from user interactions in intelligent tutoring systems P Fournier-Viger, R Nkambou, EM Nguifo Mexican international conference on artificial intelligence, 765-778, 2008 | 97 | 2008 |
Anytime dynamic path-planning with flexible probabilistic roadmaps K Belghith, F Kabanza, L Hartman, R Nkambou Proceedings 2006 IEEE International Conference on Robotics and Automation …, 2006 | 93 | 2006 |
Mining partially-ordered sequential rules common to multiple sequences P Fournier-Viger, CW Wu, VS Tseng, L Cao, R Nkambou IEEE Transactions on Knowledge and Data Engineering 27 (8), 2203-2216, 2015 | 90 | 2015 |
Improving adam optimizer A Tato, R Nkambou | 83 | 2018 |
Early detection of mild cognitive impairment with in-home monitoring sensor technologies using functional measures: a systematic review M Lussier, M Lavoie, S Giroux, C Consel, M Guay, J Macoir, C Hudon, ... IEEE journal of biomedical and health informatics 23 (2), 838-847, 2018 | 82 | 2018 |
Introduction: what are intelligent tutoring systems, and why this book? R Nkambou, J Bourdeau, R Mizoguchi Advances in intelligent tutoring systems, 1-12, 2010 | 79 | 2010 |
A survey of domain ontology engineering: Methods and tools A Zouaq, R Nkambou Advances in intelligent tutoring systems, 103-119, 2010 | 74 | 2010 |
Data Mining and Multiagent Integration P Fournier-Viger, R Nkambou, U Faghihi, EM Nguifo Ed. L. Cao, 77-92, 2009 | 69* | 2009 |
An integrated approach for automatic aggregation of learning knowledge objects A Zouaq, R Nkambou, C Frasson Interdisciplinary Journal of E-Learning and Learning Objects 3 (1), 135-162, 2007 | 67 | 2007 |
Making learning design standards work with an ontology of educational theories V Psyché, J Bourdeau, R Nkambou, R Mizoguchi 12th Artificial Intelligence in Education (AIED2005), 539-546, 2005 | 62 | 2005 |
Mining sequential rules common to several sequences with the window size constraint P Fournier-Viger, CW Wu, VS Tseng, R Nkambou Advances in Artificial Intelligence: 25th Canadian Conference on Artificial …, 2012 | 46 | 2012 |
CREAM-Tools: An authoring environment for knowledge engineering in intelligent tutoring systems R Nkambou, C Frasson, G Gauthier Authoring Tools for Advanced Technology Learning Environments: Toward Cost …, 2003 | 46 | 2003 |