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 | 170 | 2012 |
How gamification applies for educational purpose specially with college algebra U Faghihi, A Brautigam, K Jorgenson, D Martin, A Brown, E Measures, ... Procedia Computer Science 41, 182-187, 2014 | 159 | 2014 |
Inflammation is increased with anxiety-and depression-like signs in a rat model of spinal cord injury S Maldonado-Bouchard, K Peters, SA Woller, B Madahian, U Faghihi, ... Brain, behavior, and immunity 51, 176-195, 2016 | 120 | 2016 |
A LIDA cognitive model tutorial S Franklin, T Madl, S Strain, U Faghihi, D Dong, S Kugele, J Snaider, ... Biologically Inspired Cognitive Architectures 16, 105-130, 2016 | 89 | 2016 |
Global workspace theory, its LIDA model and the underlying neuroscience S Franklin, S Strain, J Snaider, R McCall, U Faghihi Biologically Inspired Cognitive Architectures 1, 32-43, 2012 | 71 | 2012 |
A cognitive model fleshes out Kahneman’s fast and slow systems U Faghihi, C Estey, R McCall, S Franklin Biologically Inspired Cognitive Architectures 11, 38-52, 2015 | 42 | 2015 |
The LIDA model as a foundational architecture for AGI U Faghihi, S Franklin Theoretical foundations of artificial general intelligence, 103-121, 2012 | 41 | 2012 |
MEIT: Memory efficient itemset tree for targeted association rule mining P Fournier-Viger, E Mwamikazi, T Gueniche, U Faghihi Advanced Data Mining and Applications: 9th International Conference, ADMA …, 2013 | 38 | 2013 |
A multiparadigm intelligent tutoring system for robotic arm training P Fournier-Viger, R Nkambou, EM Nguifo, A Mayers, U Faghihi IEEE Transactions on Learning Technologies 6 (4), 364-377, 2013 | 35 | 2013 |
Mining minimal high-utility itemsets P Fournier-Viger, JCW Lin, CW Wu, VS Tseng, U Faghihi Database and Expert Systems Applications: 27th International Conference …, 2016 | 30 | 2016 |
A computational model of attentional learning in a cognitive agent U Faghihi, R McCall, S Franklin Biologically Inspired Cognitive Architectures 2, 25-36, 2012 | 28 | 2012 |
Artificial motivation for cognitive software agents RJ McCall, S Franklin, U Faghihi, J Snaider, S Kugele Journal of Artificial General Intelligence 11 (1), 38-69, 2020 | 26 | 2020 |
Exploiting sequential patterns found in users' solutions and virtual tutor behavior to improve assistance in ITS P Fournier-Viger, U Faghihi, R Nkambou, EM Nguifo Journal of Educational Technology & Society 13 (1), 13-24, 2010 | 25 | 2010 |
CMRules: an efficient algorithm for mining sequential rules common to several sequences P Fournier-Viger, U Faghihi, R Nkambou, EM Nguifo Twenty-Third International FLAIRS Conference, 2010 | 20 | 2010 |
Emotional cognitive architectures U Faghihi, P Poirier, O Larue Affective Computing and Intelligent Interaction: 4th International …, 2011 | 18 | 2011 |
Improving neural machine translation for low resource Algerian dialect by transductive transfer learning strategy A Slim, A Melouah, U Faghihi, K Sahib Arabian Journal for Science and Engineering 47 (8), 10411-10418, 2022 | 17 | 2022 |
CELTS: a cognitive tutoring agent with human-like learning capabilities and emotions U Faghihi, P Fournier-Viger, R Nkambou Intelligent and Adaptive Educational-Learning Systems: Achievements and …, 2013 | 17 | 2013 |
From association to reasoning, an alternative to pearls’ causal reasoning U Faghihi, S Robert, P Poirier, Y Barkaoui The Thirty-Third International Flairs Conference, 2020 | 14 | 2020 |
A computational model for causal learning in cognitive agents U Faghihi, P Fournier-Viger, R Nkambou Knowledge-Based Systems 30, 48-56, 2012 | 14 | 2012 |
How emotional mechanism helps episodic learning in a cognitive agent U Faghihi, P Fournier-Viger, R Nkambou, P Poirier, A Mayers 2009 IEEE Symposium on Intelligent Agents, 23-30, 2009 | 14 | 2009 |