Caleb Robinson

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Juan M. Lavista FerresChief Scientist and Lab Director, Microsoft AI for Good Research LabEmail verificata su microsoft.com
Anthony OrtizPrincipal Research Science Manager, Microsoft AI for GoodEmail verificata su microsoft.com
Bistra DilkinaAssoc. Professor of Computer Science and co-Director of the Center for AI in Society, USCEmail verificata su usc.edu
Rahul DodhiaDeputy Director, AI for Good Research Lab, MicrosoftEmail verificata su microsoft.com
Nebojsa JojicMicrosoft ResearchEmail verificata su microsoft.com
Nikolay MalkinUniversity of EdinburghEmail verificata su inf.ed.ac.uk
Isaac CorleyPh.D. in Electrical Engineering from University of Texas at San AntonioEmail verificata su my.utsa.edu
Subhrajit GuhathakurtaProfessor of City and Regional Planning, Georgia Institute of TechnologyEmail verificata su gatech.edu
Wenwen ZhangAssociate Professor at Rutgers UniversityEmail verificata su scarletmail.rutgers.edu
Ram PendyalaProfessor and Director, School of Sustainable Engineering and the Built Environment, Arizona StateEmail verificata su asu.edu
Marilyn A. BrownGeorgia Institute of TechnologyEmail verificata su pubpolicy.gatech.edu
Fred HohmanResearch Scientist at AppleEmail verificata su apple.com
Esther RolfAssistant Professor, CU BoulderEmail verificata su colorado.edu
Ronny Hänschpostdoctoral research fellow, German Aerospace Center, OberpfaffenhofenEmail verificata su dlr.de
Naoto YokoyaThe University of TokyoEmail verificata su k.u-tokyo.ac.jp
Pedram GhamisiHZDR & Lancaster University, Group Leader and ProfessorEmail verificata su hzdr.de
Dan MorrisResearch Scientist, Google AI for Nature and SocietyEmail verificata su cs.stanford.edu
Le HouGoogleEmail verificata su google.com
Jacob CzawlytkoSenior Geospatial Analyst, Chesapeake ConservancyEmail verificata su chesapeakeconservancy.org
Duen Horng ChauProfessor, Georgia Institute of TechnologyEmail verificata su gatech.edu

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Caleb Robinson

Microsoft AI for Good

Email verificata su microsoft.com - Home page

computational sustainability deep learning human migration


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	519	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	105	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	78	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	71	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	63	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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