Jason Bernard

According to our database, Jason Bernard authored at least 13 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Stochastic L-system inference from multiple string sequence inputs.

Jason Bernard, Ian McQuillan

Soft Comput., May, 2023

2022

Improving online education through automatic learning style identification using a multi-step architecture with ant colony system and artificial neural networks.

Jason Bernard, Elvira Popescu, Sabine Graf

Appl. Soft Comput., 2022

2021

Techniques for inferring context-free Lindenmayer systems with genetic algorithm.

Jason Bernard, Ian McQuillan

Swarm Evol. Comput., 2021

Automated Grading of Anatomical Objective Structured Practical Exams Using Decision Trees.

Jason Bernard, Ranil Sonnadara, Anthony N. Saraco, Josh P. Mitchell, Alex B. Bak, Ilana Bayer, Bruce C. Wainman

CoRR, 2021

Grading OSPE Questions with Decision Learning Trees: A First Step Towards an Intelligent Tutoring System for Anatomical Education.

Jason Bernard, Bruce C. Wainman, O'llenecia Walker, Courtney Pitt, Alex B. Bak, Josh P. Mitchell, Anthony N. Saraco, Ilana Bayer, Ranil Sonnadara

Proceedings of the AAAI 2021 Fall Symposium on Human Partnership with Medical AI: Design, 2021

2020

Inferring Temporal Parametric L-systems Using Cartesian Genetic Programming.

Jason Bernard, Ian McQuillan

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

2018

Algorithms for Inferring Context-Sensitive L-Systems.

Ian McQuillan, Jason Bernard, Przemyslaw Prusinkiewicz

Proceedings of the Unconventional Computation and Natural Computation, 2018

A Fast and Reliable Hybrid Approach for Inferring L-systems .

Jason Bernard, Ian McQuillan

Proceedings of the 2018 Conference on Artificial Life, 2018

Inferring Stochastic L-Systems Using a Hybrid Greedy Algorithm.

Jason Bernard, Ian McQuillan

Proceedings of the IEEE 30th International Conference on Tools with Artificial Intelligence, 2018

New Techniques for Inferring L-systems Using Genetic Algorithm.

Jason Bernard, Ian McQuillan

Proceedings of the Bioinspired Optimization Methods and Their Applications, 2018

2017

Learning style Identifier: Improving the precision of learning style identification through computational intelligence algorithms.

Jason Bernard, Ting-Wen Chang, Elvira Popescu, Sabine Graf

Expert Syst. Appl., 2017

2016

Optimizing Pattern Weights with a Genetic Algorithm to Improve Automatic Working Memory Capacity Identification.

Jason Bernard, Ting-Wen Chang, Elvira Popescu, Sabine Graf

Proceedings of the Intelligent Tutoring Systems - 13th International Conference, 2016

2015

Using Artificial Neural Networks to Identify Learning Styles.

Jason Bernard, Ting-Wen Chang, Elvira Popescu, Sabine Graf

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015