| Deep learning framework for vehicle and pedestrian detection in rural roads on an embedded GPU L Barba-Guaman, J Eugenio Naranjo, A Ortiz Electronics 9 (4), 589, 2020 | 97 | 2020 |
| Torchgeo: deep learning with geospatial data AJ Stewart, C Robinson, IA Corley, A Ortiz, JML Ferres, A Banerjee Proceedings of the 30th international conference on advances in geographic …, 2022 | 79 | 2022 |
| Reducing bias and increasing utility by federated generative modeling of medical images using a centralized adversary JF Rajotte, S Mukherjee, C Robinson, A Ortiz, C West, JML Ferres, RT Ng Proceedings of the conference on information Technology for Social Good, 79-84, 2021 | 42 | 2021 |
| Local Context Normalization: Revisiting Local Normalization A Ortiz, C Robinson, D Morris, O Fuentes, C Kiekintveld, M Hassan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 37 | 2020 |
| Effective deep learning approaches for predicting COVID-19 outcomes from chest computed tomography volumes A Ortiz, A Trivedi, J Desbiens, M Blazes, C Robinson, S Gupta, R Dodhia, ... Scientific reports 12 (1), 1716, 2022 | 32 | 2022 |
| Automatic segmentation of prostate cancer metastases in PSMA PET/CT images using deep neural networks with weighted batch-wise dice loss Y Xu, I Klyuzhin, S Harsini, A Ortiz, S Zhang, F Bénard, R Dodhia, ... Computers in Biology and Medicine 158, 106882, 2023 | 28 | 2023 |
| An artificial intelligence dataset for solar energy locations in India A Ortiz, D Negandhi, SR Mysorekar, SK Nagaraju, J Kiesecker, ... Scientific Data 9 (1), 497, 2022 | 25 | 2022 |
| Fast building segmentation from satellite imagery and few local labels C Robinson, A Ortiz, H Park, N Lozano, JK Kaw, T Sederholm, R Dodhia, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 22 | 2022 |
| Human-machine collaboration for fast land cover mapping C Robinson, A Ortiz, K Malkin, B Elias, A Peng, D Morris, B Dilkina, N Jojic Proceedings of the AAAI Conference on Artificial Intelligence 34 (03), 2509-2517, 2020 | 22 | 2020 |
| Testing the ability of convolutional neural networks to learn radiomic features IS Klyuzhin, Y Xu, A Ortiz, JL Ferres, G Hamarneh, A Rahmim Computer Methods and Programs in Biomedicine 219, 106750, 2022 | 21 | 2022 |
| Becoming good at AI for good M Kshirsagar, C Robinson, S Yang, S Gholami, I Klyuzhin, S Mukherjee, ... Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 664-673, 2021 | 21 | 2021 |
| Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement C Robinson, A Trivedi, M Blazes, A Ortiz, J Desbiens, S Gupta, R Dodhia, ... medRxiv, 2021 | 20 | 2021 |
| A biologist’s guide to the galaxy: Leveraging artificial intelligence and very high-resolution satellite imagery to monitor marine mammals from space CB Khan, KT Goetz, HC Cubaynes, C Robinson, E Murnane, T Aldrich, ... Journal of Marine Science and Engineering 11 (3), 595, 2023 | 18 | 2023 |
| Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya S Baraka, B Akera, B Aryal, T Sherpa, F Shresta, A Ortiz, K Sankaran, ... NeurIPS 2020 Climate Change AI Workshop, 2020 | 18 | 2020 |
| Object detection in rural roads through SSD and YOLO framework L Barba-Guaman, JE Naranjo, A Ortiz, JGP Gonzalez World Conference on Information Systems and Technologies, 176-185, 2021 | 16 | 2021 |
| Mining self-similarity: Label super-resolution with epitomic representations N Malkin, A Ortiz, N Jojic Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 16 | 2020 |
| On the defense against adversarial examples beyond the visible spectrum A Ortiz, O Fuentes, D Rosario, C Kiekintveld MILCOM 2018-2018 IEEE Military Communications Conference (MILCOM), 1-5, 2018 | 16 | 2018 |
| Interpreting Black-Box Semantic Segmentation Models in Remote Sensing Applications A Janik, K Sankaran, A Ortiz Machine Learning Methods in Visualisation for Big Data, 2019 | 15 | 2019 |
| An empirical study of batch normalization and group normalization in conditional computation V Michalski, V Voleti, SE Kahou, A Ortiz, P Vincent, C Pal, D Precup arXiv preprint arXiv:1908.00061, 2019 | 13 | 2019 |
| Integrated learning and feature selection for deep neural networks in multispectral images A Ortiz, A Granados, O Fuentes, C Kiekintveld, D Rosario, Z Bell Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 13 | 2018 |
Juan M. Lavista FerresChief Scientist and Lab Director, Microsoft AI for Good Research Lab在 microsoft.com 的電子郵件地址已通過驗證