| Optimizing ensemble weights and hyperparameters of machine learning models for regression problems M Shahhosseini, G Hu, H Pham Machine Learning with Applications 7, 100251, 2022 | 129 | 2022 |
| Simultaneous corn and soybean yield prediction from remote sensing data using deep transfer learning S Khaki, H Pham, L Wang Scientific Reports 11 (1), 11132, 2021 | 113* | 2021 |
| Biclustering with missing data J Li, J Reisner, H Pham, S Olafsson, S Vardeman Information Sciences 510, 301-316, 2020 | 108* | 2020 |
| Wheatnet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting S Khaki, N Safaei, H Pham, L Wang Neurocomputing 489, 78-89, 2022 | 64 | 2022 |
| Deepcorn: A semi-supervised deep learning method for high-throughput image-based corn kernel counting and yield estimation S Khaki, H Pham, Y Han, A Kuhl, W Kent, L Wang Knowledge-Based Systems 218, 106874, 2021 | 61 | 2021 |
| Convolutional neural networks for image-based corn kernel detection and counting S Khaki, H Pham, Y Han, A Kuhl, W Kent, L Wang Sensors 20 (9), 2721, 2020 | 51 | 2020 |
| Optimizing ensemble weights for machine learning models: a case study for housing price prediction M Shahhosseini, G Hu, H Pham Smart Service Systems, Operations Management, and Analytics: Proceedings of …, 2020 | 49 | 2020 |
| Bagged ensembles with tunable parameters H Pham, S Olafsson Computational Intelligence 35 (1), 184-203, 2019 | 46 | 2019 |
| Towards a systematic understanding of blockchain governance in proposal voting: A dash case study L Mosley, H Pham, X Guo, Y Bansal, E Hare, N Antony Blockchain: Research and Applications 3 (3), 100085, 2022 | 27 | 2022 |
| An applied deep learning approach for estimating soybean relative maturity from UAV imagery to aid plant breeding decisions S Moeinizade, H Pham, Y Han, A Dobbels, G Hu Machine Learning with Applications 7, 100233, 2022 | 26 | 2022 |
| Elderly people living alone: Detecting home visits with ambient and wearable sensing R Hu, H Pham, P Buluschek, D Gatica-Perez Proceedings of the 2nd International Workshop on Multimedia for Personal …, 2017 | 25 | 2017 |
| High-throughput image-based plant stand count estimation using convolutional neural networks S Khaki, H Pham, Z Khalilzadeh, A Masoud, N Safaei, Y Han, W Kent, ... Plos one 17 (7), e0268762, 2022 | 17 | 2022 |
| On Cesaro averages for weighted trees in the random forest H Pham, S Olafsson Journal of Classification 37 (1), 223-236, 2020 | 16 | 2020 |
| A look-ahead Monte Carlo simulation method for improving parental selection in trait introgression S Moeinizade, Y Han, H Pham, G Hu, L Wang Scientific reports 11 (1), 3918, 2021 | 15 | 2021 |
| Image-based sorghum head counting when you only look once L Mosley, H Pham, Y Bansal, E Hare, C Mwanza Proceedings of the 56th Hawaii International Conference on System Sciences, 2023 | 11 | 2023 |
| Wheatnet: A lightweight convolutional neural network for high-throughput image-based wheat head detection and counting. arXiv 2021 S Khaki, N Safaei, H Pham, L Wang arXiv preprint arXiv:2103.09408, 0 | 9 | |
| Optimizing ensemble weights and hyperparameters of machine learning models for regression problems. arXiv 2019 M Shahhosseini, G Hu, H Pham arXiv preprint arXiv:1908.05287, 0 | 6 | |
| Dynamic programming for resource allocation in multi-allelic trait introgression Y Han, JN Cameron, L Wang, H Pham, WD Beavis Frontiers in Plant Science 12, 544854, 2021 | 3 | 2021 |
| biclustermd: An R Package for Biclustering with Missing Values. J Reisner, H Pham, S Olafsson, SB Vardeman, J Li R J. 11 (2), 69, 2019 | 3 | 2019 |
| Crop Phenotype Prediction using Biclustering to Explain Genotype-by-Environment Interactions HT Pham, J Reisner, A Swift, S Olafsson, S Vardeman Frontiers in Plant Science, 3478, 2022 | 2 | 2022 |
Saeed KhakiPh.D., Iowa State UniversityVerified email at iastate.edu
