| Challenges in representation learning: A report on three machine learning contests IJ Goodfellow, D Erhan, PL Carrier, A Courville, M Mirza, B Hamner, ... Neural information processing: 20th international conference, ICONIP 2013 …, 2013 | 2227 | 2013 |
| An investigation of ensemble combination schemes for genetic programming based hyper-heuristic approaches to dynamic job shop scheduling J Park, Y Mei, S Nguyen, G Chen, M Zhang Applied Soft Computing 63, 72-86, 2018 | 113 | 2018 |
| Evolving ensembles of dispatching rules using genetic programming for job shop scheduling J Park, S Nguyen, M Zhang, M Johnston Genetic Programming: 18th European Conference, EuroGP 2015, Copenhagen …, 2015 | 51 | 2015 |
| Genetic programming based hyper-heuristics for dynamic job shop scheduling: Cooperative coevolutionary approaches J Park, Y Mei, S Nguyen, G Chen, M Johnston, M Zhang Genetic Programming: 19th European Conference, EuroGP 2016, Porto, Portugal …, 2016 | 30 | 2016 |
| Genetic programming for order acceptance and scheduling J Park, S Nguyen, M Zhang, M Johnston 2013 IEEE congress on evolutionary computation, 1005-1012, 2013 | 29 | 2013 |
| Evolutionary multitask optimisation for dynamic job shop scheduling using niched genetic programming J Park, Y Mei, S Nguyen, G Chen, M Zhang AI 2018: Advances in Artificial Intelligence: 31st Australasian Joint …, 2018 | 26 | 2018 |
| Investigating a machine breakdown genetic programming approach for dynamic job shop scheduling J Park, Y Mei, S Nguyen, G Chen, M Zhang Genetic Programming: 21st European Conference, EuroGP 2018, Parma, Italy …, 2018 | 22 | 2018 |
| Evolving ensembles of routing policies using genetic programming for uncertain capacitated arc routing problem S Wang, Y Mei, J Park, M Zhang 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1628-1635, 2019 | 19 | 2019 |
| Investigating the generality of genetic programming based hyper-heuristic approach to dynamic job shop scheduling with machine breakdown J Park, Y Mei, S Nguyen, G Chen, M Zhang Artificial Life and Computational Intelligence: Third Australasian …, 2017 | 17 | 2017 |
| A two-stage genetic programming hyper-heuristic for uncertain capacitated arc routing problem S Wang, Y Mei, J Park, M Zhang 2019 IEEE Symposium Series on Computational Intelligence (SSCI), 1606-1613, 2019 | 9 | 2019 |
| Niching genetic programming based hyper-heuristic approach to dynamic job shop scheduling: An investigation into distance metrics J Park, Y Mei, G Chen, M Zhang Proceedings of the 2016 on Genetic and Evolutionary Computation Conference …, 2016 | 9 | 2016 |
| A single population genetic programming based ensemble learning approach to job shop scheduling J Park, S Nguyen, M Zhang, M Johnston Proceedings of the Companion Publication of the 2015 Annual Conference on …, 2015 | 9 | 2015 |
| Evolving stochastic dispatching rules for order acceptance and scheduling via genetic programming J Park, S Nguyen, M Johnston, M Zhang AI 2013: Advances in Artificial Intelligence: 26th Australasian Joint …, 2013 | 9 | 2013 |
| Accept yourself! A pilot randomized controlled trial of a self-acceptance-based treatment for large-bodied women with depression MI Berman, J Park, ME Kragenbrink, MT Hegel Behavior Therapy 53 (5), 913-926, 2022 | 8 | 2022 |
| Enhancing heuristics for order acceptance and scheduling using genetic programming J Park, S Nguyen, M Zhang, M Johnston Simulated Evolution and Learning: 10th International Conference, SEAL 2014 …, 2014 | 6 | 2014 |
| Query directed web page clustering using suffix tree and Wikipedia links J Park, X Gao, P Andreae Advanced Data Mining and Applications: 8th International Conference, ADMA …, 2012 | 4 | 2012 |
