Anthony Ortiz

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Juan M. Lavista FerresChief Scientist and Lab Director, Microsoft AI for Good Research LabDirección de correo verificada de microsoft.com
Caleb RobinsonMicrosoft AI for GoodDirección de correo verificada de microsoft.com
Rahul DodhiaDeputy Director, AI for Good Research Lab, MicrosoftDirección de correo verificada de microsoft.com
Christopher KiekintveldUniversity of Texas at El PasoDirección de correo verificada de utep.edu
Olac FuentesProfessor of Computer Science, University of Texas at El PasoDirección de correo verificada de utep.edu
Yixi XuMicrosoft AI for Good Research LabDirección de correo verificada de microsoft.com
Nebojsa JojicMicrosoft ResearchDirección de correo verificada de microsoft.com
Dr. Dalton RosarioRetired, U.S. Army Research LaboratoryDirección de correo verificada de mail.mil
Aaron Y. LeeUniversity of WashingtonDirección de correo verificada de uw.edu
Kris SankaranUniversity of Wisconsin - MadisonDirección de correo verificada de wisc.edu
Nikolay MalkinUniversity of EdinburghDirección de correo verificada de inf.ed.ac.uk
Dan MorrisResearch Scientist, Google AI for Nature and SocietyDirección de correo verificada de cs.stanford.edu
Bistra DilkinaAssoc. Professor of Computer Science and co-Director of the Center for AI in Society, USCDirección de correo verificada de usc.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARDirección de correo verificada de umontreal.ca
Doina PrecupDeepMind and McGill UniversityDirección de correo verificada de cs.mcgill.ca
Pascal VincentFacebook AI Research; U. Montreal (Professor, Computer Sc. & Op. Res.); MILA; CIFARDirección de correo verificada de iro.umontreal.ca
Vikram VoletiStability AIDirección de correo verificada de stability.ai
Samira Ebrahimi KahouAssistant Professor, University of Calgary/Mila/Canada CIFAR AI ChairDirección de correo verificada de ucalgary.ca
Vincent MichalskiPh.D. candidate at Université de MontréalDirección de correo verificada de umontreal.ca
Chris PalProfessor, Polytechnique Montréal & Mila, ServiceNow Research, Canada CIFAR AI ChairDirección de correo verificada de polymtl.ca

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Anthony Ortiz

Principal Research Science Manager, Microsoft AI for Good

Dirección de correo verificada de microsoft.com - Página principal

Geospatial Machine Learning Computer Vision Deep Learning Machine Learning Computational Sustainability


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
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	98	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	70	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	40	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	36	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	31	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	24	2023
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
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	20	2022
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	19	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	19	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	19	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	17	2020
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	15	2023
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	15	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	15	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	15	2018
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	13	2021
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

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