Anthony Ortiz

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Juan M. Lavista FerresChief Scientist and Lab Director, Microsoft AI for Good Research LabZweryfikowany adres z microsoft.com
Caleb RobinsonMicrosoft AI for GoodZweryfikowany adres z microsoft.com
Rahul DodhiaDeputy Director, AI for Good Research Lab, MicrosoftZweryfikowany adres z microsoft.com
Christopher KiekintveldUniversity of Texas at El PasoZweryfikowany adres z utep.edu
Olac FuentesProfessor of Computer Science, University of Texas at El PasoZweryfikowany adres z utep.edu
Yixi XuMicrosoft AI for Good Research LabZweryfikowany adres z microsoft.com
Nebojsa JojicMicrosoft ResearchZweryfikowany adres z microsoft.com
Dr. Dalton RosarioRetired, U.S. Army Research LaboratoryZweryfikowany adres z mail.mil
Aaron Y. LeeUniversity of WashingtonZweryfikowany adres z uw.edu
Kris SankaranUniversity of Wisconsin - MadisonZweryfikowany adres z wisc.edu
Nikolay MalkinUniversity of EdinburghZweryfikowany adres z inf.ed.ac.uk
Dan MorrisResearch Scientist, Google AI for Nature and SocietyZweryfikowany adres z cs.stanford.edu
Bistra DilkinaAssoc. Professor of Computer Science and co-Director of the Center for AI in Society, USCZweryfikowany adres z usc.edu
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFARZweryfikowany adres z umontreal.ca
Doina PrecupDeepMind and McGill UniversityZweryfikowany adres z cs.mcgill.ca
Pascal VincentFacebook AI Research; U. Montreal (Professor, Computer Sc. & Op. Res.); MILA; CIFARZweryfikowany adres z iro.umontreal.ca
Vikram VoletiStability AIZweryfikowany adres z stability.ai
Samira Ebrahimi KahouAssistant Professor, University of Calgary/Mila/Canada CIFAR AI ChairZweryfikowany adres z ucalgary.ca
Vincent MichalskiPh.D. candidate at Université de MontréalZweryfikowany adres z umontreal.ca
Chris PalProfessor, Polytechnique Montréal & Mila, ServiceNow Research, Canada CIFAR AI ChairZweryfikowany adres z polymtl.ca

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Anthony Ortiz

Principal Research Science Manager, Microsoft AI for Good

Zweryfikowany adres z microsoft.com - Strona główna

Geospatial Machine Learning Computer Vision Deep Learning Machine Learning Computational Sustainability


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
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	80	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	41	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	35	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	33	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	29	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	26	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	23	2020
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
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	19	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
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	16	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	16	2018
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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