| Automatic Segmentation of Mauritia flexuosa in Unmanned Aerial Vehicle (UAV) Imagery Using Deep Learning G Morales, G Kemper, G Sevillano, D Arteaga, I Ortega, J Telles Forests 9 (12), 736, 2018 | 94 | 2018 |
| Cloud detection for PERUSAT-1 imagery using spectral and texture descriptors, ANN, and panchromatic fusion G Morales, SG Huamán, J Telles Brazilian Technology Symposium, 1-7, 2017 | 5 | 2017 |
| Cloud detection in high-resolution multispectral satellite imagery using deep learning G Morales, SG Huamán, J Telles Artificial Neural Networks and Machine Learning–ICANN 2018: 27th …, 2018 | 20 | 2018 |
| Counterfactual Analysis of Neural Networks Used to Create Fertilizer Management Zones G Morales, J Sheppard arXiv preprint arXiv:2403.10730, 2024 | 1 | 2024 |
| Counterfactual Explanations of Neural Network-Generated Response Curves G Morales, J Sheppard 2023 International Joint Conference on Neural Networks (IJCNN), 1-8, 2023 | 1 | 2023 |
| Decision Support From On-Field Precision Experiments B Maxwell, P Hegedus, S Loewen, H Duff, J Sheppard, A Peerlinck, ... 15th International Conference on Precision Agriculture, 2022 | | 2022 |
| Desarrollo de un software de teledetección orientado a la identificación y medición automática de áreas de plantaciones de aguajales en la amazonía Peruana utilizando imágenes … GL Morales Luna Universidad Nacional de Ingeniería, 2017 | 1 | 2017 |
| Detecting violent robberies in CCTV videos using deep learning G Morales, I Salazar-Reque, J Telles, D Díaz IFIP International Conference on Artificial Intelligence Applications and …, 2019 | 23 | 2019 |
| Dual Accuracy-Quality-Driven Neural Network for Prediction Interval Generation G Morales, JW Sheppard IEEE Transactions on Neural Networks and Learning Systems, 2023 | 1 | 2023 |
| End-to-end cloud segmentation in high-resolution multispectral satellite imagery using deep learning G Morales, A Ramírez, J Telles 2019 IEEE XXVI International Conference on Electronics, Electrical …, 2019 | 11 | 2019 |
| Estimation of 2D velocity model using acoustic signals and convolutional neural networks MPE Apolinario, SGH Bustamante, G Morales, D Diaz 2019 IEEE XXVI International Conference on Electronics, Electrical …, 2019 | 4 | 2019 |
| Generation of site-specific nitrogen response curves for winter wheat using deep learning G Morales, J Sheppard, A Peerlinck, PB Hegedus, BD Maxwell 15th International Conference on Precision Agriculture, 2022 | 6 | 2022 |
| Hyperspectral band selection for multispectral image classification with convolutional networks G Morales, J Sheppard, R Logan, J Shaw 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 11 | 2021 |
| Hyperspectral dimensionality reduction based on inter-band redundancy analysis and greedy spectral selection G Morales, JW Sheppard, RD Logan, JA Shaw Remote Sensing 13 (18), 3649, 2021 | 20 | 2021 |
| Improved yield prediction of winter wheat using a novel two-dimensional deep regression neural network trained via remote sensing G Morales, JW Sheppard, PB Hegedus, BD Maxwell Sensors 23 (1), 489, 2023 | 11 | 2023 |
| On-Farm Precision Experiments (OFPE) framework: tapping local data to optimize crop sub-field scale decisions P Hegedus, B Maxwell, J Sheppard, S Loewen, H Duff, G Morales-Luna, ... Preprints, 2022 | | 2022 |
| Optimizing Nitrogen Application to Maximize Yield and Reduce Environmental Impact in Winter Wheat Production A Peerlinck, G Morales, J Sheppard, P Hegedus, B Maxwell 15th International Conference on Precision Agriculture, 2022 | 1 | 2022 |
| PETEFA: Geographic information system for precision agriculture W Palomino, G Morales, S Huamán, J Telles 2018 IEEE XXV international conference on electronics, electrical …, 2018 | 12 | 2018 |
| PhD Qualifying Examination: Designing Interpretable Deep Neural Networks G Morales | | |
| Reduced-cost hyperspectral convolutional neural networks G Morales, JW Sheppard, B Scherrer, JA Shaw Journal of Applied Remote Sensing 14 (3), 036519-036519, 2020 | 10 | 2020 |
John W. SheppardNACOE Distinguished Professor of Computer Science, Montana State University在 montana.edu 的电子邮件经过验证
