Anthony Ortiz
Anthony Ortiz
Microsoft AI for Good Research Lab
Vahvistettu sähköpostiosoite verkkotunnuksessa - Kotisivu
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
Soft conditional computation
B Yang, G Bender, QV Le, J Ngiam
arXiv preprint arXiv:1904.04971 3 (4), 5, 2019
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
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
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
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
Image-based 3D model and hyperspectral data fusion for improved scene understanding
A Ortiz, D Rosario, O Fuentes, S Blair
2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS …, 2017
Mining self-similarity: Label super-resolution with epitomic representations
N Malkin, A Ortiz, N Jojic
European Conference on Computer Vision, 531-547, 2020
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
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, JL Ferres, RT Ng
arXiv preprint arXiv:2101.07235, 2021
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
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
Becoming Good at AI for Good
M Kshirsagar, C Robinson, S Yang, S Gholami, I Klyuzhin, S Mukherjee, ...
arXiv preprint arXiv:2104.11757, 2021
Temporal Cluster Matching for Change Detection of Structures from Satellite Imagery
C Robinson, A Ortiz, JML Ferres, B Anderson, DE Ho
arXiv preprint arXiv:2103.09787, 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
Lessons learned from our investments in AI For Good at Microsoft
JL Ferres, C Robinson, S Yang, A Ortiz, MD Nasir, Y Yu, A Trivedi
AGU Fall Meeting 2020, 2020
Fine-tuning land cover models efficiently with transfer learning: a tool and case studies
C Robinson, A Ortiz, S Yang, MD Nasir, J Wang, JL Ferres
AGU Fall Meeting 2020, 2020
A Realistic Approach for Network Traffic Obfuscation using Adversarial Machine Learning
A Granados, MS Miah, A Ortiz, C Kiekintveld
Conference on Decision and Game Theory for Security (GameSec), 2020
Testing the Ability of Convolutional Neural Networks to Learn Radiomic Features
IS Klyuzhin, Y Xu, A Ortiz, JML Ferres, G Hamarneh, A Rahmim
medRxiv, 2020
Effective Deep Learning Approaches for Predicting COVID-19 Outcomes from Chest Computed Tomography Volumes
A Trivedi, A Ortiz, J Desbiens, C Robinson, M Blazes, S Gupta, R Dodhia, ...
medRxiv, 2020
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