Caleb Robinson

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	Wszystkie	Od 2020
Cytowania	2089	1948
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Juan M. Lavista FerresChief Scientist and Lab Director, Microsoft AI for Good Research LabZweryfikowany adres z microsoft.com
Anthony OrtizPrincipal Research Science Manager, Microsoft AI for GoodZweryfikowany adres z microsoft.com
Bistra DilkinaAssoc. Professor of Computer Science and co-Director of the Center for AI in Society, USCZweryfikowany adres z usc.edu
Rahul DodhiaDeputy Director, AI for Good Research Lab, MicrosoftZweryfikowany adres z microsoft.com
Nebojsa JojicMicrosoft ResearchZweryfikowany adres z microsoft.com
Nikolay MalkinUniversity of EdinburghZweryfikowany adres z inf.ed.ac.uk
Isaac CorleyPh.D. in Electrical Engineering from University of Texas at San AntonioZweryfikowany adres z my.utsa.edu
Subhrajit GuhathakurtaProfessor of City and Regional Planning, Georgia Institute of TechnologyZweryfikowany adres z gatech.edu
Wenwen ZhangAssociate Professor at Rutgers UniversityZweryfikowany adres z scarletmail.rutgers.edu
Ram PendyalaProfessor and Director, School of Sustainable Engineering and the Built Environment, Arizona StateZweryfikowany adres z asu.edu
Marilyn A. BrownGeorgia Institute of TechnologyZweryfikowany adres z pubpolicy.gatech.edu
Fred HohmanResearch Scientist at AppleZweryfikowany adres z apple.com
Esther RolfAssistant Professor, CU BoulderZweryfikowany adres z colorado.edu
Ronny Hänschpostdoctoral research fellow, German Aerospace Center, OberpfaffenhofenZweryfikowany adres z dlr.de
Naoto YokoyaThe University of TokyoZweryfikowany adres z k.u-tokyo.ac.jp
Pedram GhamisiHZDR & Lancaster University, Group Leader and ProfessorZweryfikowany adres z hzdr.de
Dan MorrisResearch Scientist, Google AI for Nature and SocietyZweryfikowany adres z cs.stanford.edu
Le HouGoogleZweryfikowany adres z google.com
Jacob CzawlytkoSenior Geospatial Analyst, Chesapeake ConservancyZweryfikowany adres z chesapeakeconservancy.org
Duen Horng ChauProfessor, Georgia Institute of TechnologyZweryfikowany adres z gatech.edu

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Caleb Robinson

Microsoft AI for Good

Zweryfikowany adres z microsoft.com - Strona główna

computational sustainability deep learning human migration


Tytuł Sortuj wg cytatów Sortuj wg roku Sortuj wg tytułu	Cytowane przez Cytowane przez	Rok
Machine learning approaches for estimating commercial building energy consumption C Robinson, B Dilkina, J Hubbs, W Zhang, S Guhathakurta, MA Brown, ... Applied Energy 208, 889-904, 2017	523	2017
Summit: Scaling Deep Learning Interpretability by Visualizing Activation and Attribution Summarizations F Hohman, H Park, C Robinson, DHP Chau IEEE transactions on visualization and computer graphics 26 (1), 1096-1106, 2019	278	2019
A Deep Learning Approach for Population Estimation from Satellite Imagery C Robinson, F Hohman, B Dilkina Proceedings of the 1st ACM SIGSPATIAL Workshop on Geospatial Humanities, 47-54, 2017	130	2017
Large scale high-resolution land cover mapping with multi-resolution data C Robinson, L Hou, K Malkin, R Soobitsky, J Czawlytko, B Dilkina, N Jojic Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	120	2019
A machine learning approach to modeling human migration C Robinson, B Dilkina Proceedings of the 1st ACM SIGCAS Conference on Computing and Sustainable …, 2018	106	2018
Modeling migration patterns in the USA under sea level rise C Robinson, B Dilkina, J Moreno-Cruz PloS one 15 (1), e0227436, 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
Estimating residential energy consumption in metropolitan areas: A microsimulation approach W Zhang, C Robinson, S Guhathakurta, VM Garikapati, B Dilkina, ... Energy 155, 162-173, 2018	72	2018
Global Land-Cover Mapping With Weak Supervision: Outcome of the 2020 IEEE GRSS Data Fusion Contest C Robinson, K Malkin, N Jojic, H Chen, R Qin, C Xiao, M Schmitt, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021	64	2021
SatCLIP: Global, General-Purpose Location Embeddings with Satellite Imagery K Klemmer, E Rolf, C Robinson, L Mackey, M Rußwurm arXiv preprint arXiv:2311.17179, 2023	53	2023
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, MM Hassan, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020	37	2020
Label super-resolution networks K Malkin, C Robinson, L Hou, R Soobitsky, J Czawlytko, D Samaras, ... International Conference on Learning Representations, 2018	36	2018
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
The Outcome of the 2021 IEEE GRSS Data Fusion Contest—Track MSD: Multitemporal Semantic Change Detection Z Li, F Lu, H Zhang, L Tu, J Li, X Huang, C Robinson, N Malkin, N Jojic, ... IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022	31	2022
Mission Critical--Satellite Data is a Distinct Modality in Machine Learning E Rolf, K Klemmer, C Robinson, H Kerner arXiv preprint arXiv:2402.01444, 2024	29	2024
Deep learning models for COVID-19 chest x-ray classification: Preventing shortcut learning using feature disentanglement A Trivedi, C Robinson, M Blazes, A Ortiz, J Desbiens, S Gupta, R Dodhia, ... PloS one 17 (10), e0274098, 2022	26*	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	25	2022
Ssl4eo-l: Datasets and foundation models for landsat imagery A Stewart, N Lehmann, I Corley, Y Wang, YC Chang, NA Ait Ali Braham, ... Advances in Neural Information Processing Systems 36, 2024	24	2024
Revisiting pre-trained remote sensing model benchmarks: resizing and normalization matters I Corley, C Robinson, R Dodhia, JML Ferres, P Najafirad Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024	22	2024

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