Foundation models for generalist geospatial artificial intelligence J Jakubik, S Roy, CE Phillips, P Fraccaro, D Godwin, B Zadrozny, ... arXiv preprint arXiv:2310.18660, 2023 | 98 | 2023 |
Multiple objective metaheuristics for feature selection based on stakeholder requirements in credit scoring N Simumba, S Okami, A Kodaka, N Kohtake Decision Support Systems 155, 113714, 2022 | 29 | 2022 |
Alternative scoring factors using non-financial data for credit decisions in agricultural microfinance N Simumba, S Okami, A Kodaka, N Kohtake 2018 IEEE International Systems Engineering Symposium (ISSE), 1-8, 2018 | 17 | 2018 |
Foundation models for generalist geospatial artificial intelligence (2023) J Jakubik, S Roy, CE Phillips, P Fraccaro, D Godwin, B Zadrozny, ... URL https://arxiv. org/abs/2310.18660 2 (3), 5, 2023 | 8 | 2023 |
Foundation Models for Generalist Geospatial Artificial Intelligence, arXiv J Jakubik, S Roy, CE Phillips, P Fraccaro, D Godwin, B Zadrozny, ... arXiv preprint arXiv:2310.18660, 2023 | 8 | 2023 |
Spatiotemporal integration of mobile, satellite, and public geospatial data for enhanced credit scoring N Simumba, S Okami, A Kodaka, N Kohtake Symmetry 13 (4), 575, 2021 | 8 | 2021 |
Comparison of profit-based multi-objective approaches for feature selection in credit scoring N Simumba, S Okami, A Kodaka, N Kohtake Algorithms 14 (9), 260, 2021 | 7 | 2021 |
Credit decision tool using mobile application data for microfinance in agriculture N Simumba, S Okami, N Kohtake 2017 IEEE International Conference on Big Data (Big Data), 4714-4721, 2017 | 5 | 2017 |
Area sampling for training geospatial foundation models D Kimura, N Simumba, M Freitag, J Schmude, M Tatsubori AGU Fall Meeting Abstracts 2023, IN54B-07, 2023 | 3 | 2023 |
Tensorbank: Tensor lakehouse for foundation model training R Kienzler, J Schmude, N Simumba, B Blumenstiel, M Freitag, D Kimura, ... 2023 IEEE International Conference on Big Data (BigData), 3350-3354, 2023 | 2 | 2023 |
Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation M Muszynski, L Klein, AF Da Silva, AP Atluri, C Gomes, D Szwarcman, ... arXiv preprint arXiv:2406.19888, 2024 | 1 | 2024 |
SAR2NDVI: Pre-Training for SAR-to-NDVI Image Translation D Kimura, T Ishikawa, M Mitsugi, Y Kitakoshi, T Tanaka, N Simumba, ... ICASSP 2024-2024 IEEE International Conference on Acoustics, Speech and …, 2024 | 1 | 2024 |
Adapting transfer learning for multiple channels in satellite data applications N Simumba, M Tatsubori EGU General Assembly Conference Abstracts, EGU-1502, 2023 | 1 | 2023 |
Towards accelerated discovery services for geospatio-temporal foundation models M Tatsubori, T Moriyama, N Simumba, T Ishikawa, D Szwarcman, ... AGU Fall Meeting Abstracts 2022, IN32D-0405, 2022 | 1 | 2022 |
Spatially and semantically diverse points extraction using hierarchical clustering N Simumba, S Masuda, M Tatsubori Proceedings of the 5th ACM SIGSPATIAL International Workshop on Location …, 2021 | 1 | 2021 |
TensorLakeHouse: A High-Performance, Open-Source Platform for Accelerated Geospatial Data Management with Hierarchical Statistical Indices R Kienzler, LP Tizzei, B Blumenstiel, M Freitag, I Khabibrakhmanov, ... American Geophysical Union Fall Meeting, 2024 | | 2024 |
Comparison of Geospatial foundation model based mapped burn scars with predicted forest fire susceptible locations using environmental factors P Shukla, SA Klampt, N Simumba, D Kimura, D Shukla American Geophysical Union Fall Meeting, 2024 | | 2024 |
Predicting NDVI from SAR images toward Above Ground Biomass Estimation D Kimura, T Ishikawa, N Simumba, M Tatsubori, T Moriyama, ... American Geophysical Union Fall Meeting, 2024 | | 2024 |
Towards Multi Modal Geospatial Foundation Models With Multiple Resolutions N Simumba, J Jakubik, B Blumenstiel, P Fraccaro American Geophysical Union Fall Meeting, 2024 | | 2024 |
Global Area Sampling for Geospatial Foundation Model D Kimura, N Simumba, M Freitag, J Schmude, D Szwarcman, M Tatsubori, ... American Geophysical Union Fall Meeting, 2024 | | 2024 |