| FastForest: Increasing random forest processing speed while maintaining accuracy D Yates, MZ Islam Information Sciences 557, 130-152, 2021 | 42 | 2021 |
| SPAARC: A fast decision tree algorithm D Yates, MZ Islam, J Gao Australasian Conference on Data Mining, 43-55, 2018 | 23 | 2018 |
| Data Mining on Smartphones: An Introduction and Survey D Yates, MZ Islam ACM Computing Surveys (CSUR), 2022 | 19 | 2022 |
| The effect of dataset construction and data pre-processing on the eXtreme Gradient Boosting algorithm applied to head rice yield prediction in Australia A Clarke, D Yates, C Blanchard, MZ Islam, R Ford, S Rehman, R Walsh Computers and Electronics in Agriculture 219, 108716, 2024 | 16 | 2024 |
| Readiness of Smartphones for Data Collection and Data Mining with an Example Application in Mental Health D Yates, MZ Islam Australasian Conference on Data Mining, 235-246, 2019 | 6 | 2019 |
| DataLearner: a data mining and knowledge discovery tool for android smartphones and tablets D Yates, MZ Islam, J Gao International Conference on Advanced Data Mining and Applications, 828-838, 2019 | 5 | 2019 |
| Implementation and performance analysis of data-mining classification algorithms on smartphones D Yates, MZ Islam, J Gao Australasian Conference on Data Mining, 331-343, 2018 | 5 | 2018 |
| Integrating Climate and Satellite Data for Multi-Temporal Pre-Harvest Prediction of Head Rice Yield in Australia A Clarke, D Yates, C Blanchard, MZ Islam, R Ford, SU Rehman, ... Remote Sensing 16 (10), 1815, 2024 | 1 | 2024 |
| Development and implementation of locally-executed data mining on smartphones DB Yates Doctoral dissertation, Charles Sturt University Australia 8, 2021 | 1 | 2021 |
| Enhancing Provenance and Prediction for Whole Grain Rice Quality D Yates, A Clarke, C Blanchard, Z Islam, S Rehman Food Agility CRC, 2024 | | 2024 |
| Combined Location Online Weather Data: Easy-to-use Targeted Weather Analysis for Agriculture D Yates, C Blanchard, A Clarke, SU Rehman, MZ Islam, R Ford, R Walsh arXiv preprint arXiv:2302.06142, 2023 | | 2023 |
| Using interpretive machine learning to predict Head Rice Yield in Australia A Clarke, C Blanchard, Z Islam, R Ford, D Yates, S Rehman 25th Australasian Precision Agriculture Symposium, 2022 | | 2022 |
| Explaining Whole Grain Yield Appraisals: Where are we at, and how can it help growers? A Clarke, C Blanchard, Z Islam, R Ford, D Yates, S Rehman Australian Rice Growers' Conference, 2022 | | 2022 |
| Combining climate, soil and satellite-derived variables with interpretive machine learning to predict head rice yield A Clarke, C Blanchard, Z Islam, R Ford, D Yates, S Rehman 72nd Australasian Grain Science Association-2022: Grains: Many Opportunities, 2022 | | 2022 |
| PostMatch: A Framework for Efficient Address Matching D Yates, MZ Islam, Y Zhao, R Nayak, V Estivill-Castro, S Kanhere Australasian Conference on Data Mining, 136-151, 2021 | | 2021 |
| Predicting Head Rice Yield A Clarke, C Blanchard, Z Islam, R Ford, D Yates, S Rehman Asian-Australian Conference on Precision Agriculture: Smart Agricultural …, 2021 | | 2021 |
| Enhancing Rice Provenance and Quality Prediction A Clarke, C Blanchard, Z Islam, R Ford, D Yates, S Rehman Food Agility Summit 2021: Mission food for life, 2021 | | 2021 |
