Evolving simple and accurate symbolic regression models via asynchronous parallel computing AS Sambo, RMA Azad, Y Kovalchuk, VP Indramohan, H Shah Applied Soft Computing, 107198, 2021 | 9 | 2021 |
Time control or size control? Reducing complexity and improving accuracy of genetic programming models AS Sambo, R Azad, Y Kovalchuk, VP Indramohan, H Shah European Conference on Genetic Programming (Part of EvoStar), 195-210, 2020 | 8 | 2020 |
Leveraging asynchronous parallel computing to produce simple genetic programming computational models AS Sambo, RMA Azad, Y Kovalchuk, VP Indramohan, H Shah Proceedings of the 35th Annual ACM Symposium on Applied Computing, 521-528, 2020 | 4 | 2020 |
Feature engineering for improving robustness of crossover in symbolic regression AS Sambo, RMA Azad, Y Kovalchuk, VP Indramohan, H Shah Proceedings of the 2020 Genetic and Evolutionary Computation Conference …, 2020 | 3 | 2020 |
Leveraging Evaluation Time to Produce Simple Machine Learning Models with Genetic Programming AS SAMBO Birmingham City University, 2022 | | 2022 |
Improving the generalisation of genetic programming models with evaluation time and asynchronous parallel computing AS Sambo, RMA Azad, Y Kovalchuk, V Padmanaabhan, H Shah Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | | 2021 |