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John Park
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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
22272013
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
1132018
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
512015
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
302016
Genetic programming for order acceptance and scheduling
J Park, S Nguyen, M Zhang, M Johnston
2013 IEEE congress on evolutionary computation, 1005-1012, 2013
292013
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
262018
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
222018
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
192019
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
172017
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
92019
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
92016
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
92015
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
92013
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
82022
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
62014
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
42012
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