| Learning style Identifier: Improving the precision of learning style identification through computational intelligence algorithms J Bernard, TW Chang, E Popescu, S Graf Expert Systems with Applications 75, 94-108, 2017 | 161 | 2017 |
| Using artificial neural networks to identify learning styles J Bernard, TW Chang, E Popescu, S Graf Artificial Intelligence in Education: 17th International Conference, AIED …, 2015 | 61 | 2015 |
| A fast and reliable hybrid approach for inferring L-systems J Bernard, I McQuillan Artificial Life Conference Proceedings, 444-451, 2018 | 11 | 2018 |
| New techniques for inferring L-systems using genetic algorithm J Bernard, I McQuillan Bioinspired Optimization Methods and Their Applications: 8th International …, 2018 | 11 | 2018 |
| Algorithms for inferring context-sensitive L-systems I McQuillan, J Bernard, P Prusinkiewicz Unconventional Computation and Natural Computation: 17th International …, 2018 | 11 | 2018 |
| Techniques for inferring context-free Lindenmayer systems with genetic algorithm J Bernard, I McQuillan Swarm and Evolutionary Computation 64, 100893, 2021 | 10 | 2021 |
| Improving learning style identification by considering different weights of behavior patterns using particle swarm optimization J Bernard, TW Chang, E Popescu, S Graf State-of-the-Art and Future Directions of Smart Learning, 39-49, 2016 | 8 | 2016 |
| Improving online education through automatic learning style identification using a multi-step architecture with ant colony system and artificial neural networks J Bernard, E Popescu, S Graf Applied Soft Computing 131, 109779, 2022 | 7 | 2022 |
| Stochastic L-system inference from multiple string sequence inputs J Bernard, I McQuillan Soft Computing 27 (10), 6783-6798, 2023 | 5 | 2023 |
| Inferring stochastic L-systems using a hybrid greedy algorithm J Bernard, I McQuillan 2018 IEEE 30th International Conference on Tools with Artificial …, 2018 | 4 | 2018 |
| Grading OSPE Questions with Decision Learning Trees: A First Step Towards an Intelligent Tutoring System for Anatomical Education. J Bernard, BC Wainman, O'llenecia Walker, C Pitt, AB Bak, JP Mitchell, ... HUMAN@ AAAI Fall Symposium, 2021 | 2 | 2021 |
| Optimizing pattern weights with a genetic algorithm to improve automatic working memory capacity identification J Bernard, TW Chang, E Popescu, S Graf Intelligent Tutoring Systems: 13th International Conference, ITS 2016 …, 2016 | 2 | 2016 |
| Improving Learning Based on the Identification of Working Memory Capacity, Adaptive Context Systems, Collaborative Learning and Learning Analytics RAW Tortorella, D Hobbs, J Kurcz, J Bernard, S Baldiris, TW Chang, ... Proceedings of Science and Technology Innovations, 39-55, 2015 | 2 | 2015 |
| Inferring Temporal Parametric L-systems Using Cartesian Genetic Programming J Bernard, I McQuillan 2020 IEEE 32nd International Conference on Tools with Artificial …, 2020 | 1 | 2020 |
| Automated grading of anatomical objective structured practical examinations using decision trees: An artificial intelligence approach J Bernard, R Sonnadara, AN Saraco, JP Mitchell, AB Bak, I Bayer, ... Anatomical Sciences Education, 2023 | | 2023 |
| Development and Implementation of an Online OSPE Test Bank Graded by Artificial Intelligence V Coelho, L Amoudi, G Segovia, P Vejdani, M Varambally, T Wang, A Ball, ... The FASEB Journal 36, 2022 | | 2022 |
| Automated Grading of Anatomical Objective Structured Practical Exams Using Decision Trees J Bernard, R Sonnadara, AN Saraco, JP Mitchell, AB Bak, I Bayer, ... arXiv preprint arXiv:2106.00502, 2021 | | 2021 |
| The Brave New World of Anatomy: Using AI to Grade Practical Examinations A Bak, J Bernard, A Saraco, J Mitchell, I Bayer, R Sonnadara, B Wainman The FASEB Journal 35, 2021 | | 2021 |
| Inferring Different Types of Lindenmayer Systems Using Artificial Intelligence J Bernard University of Saskatchewan, 2020 | | 2020 |
| Automatic identification of learning styles and working memory capacity from student behaviors using computational intelligence algorithms J Bernard | | 2016 |
