Small world properties of facebook group networks J Wohlgemuth University of Nebraska at Omaha, 2012 | 28 | 2012 |
Benchmarking and end-to-end considerations for GeoAI-enabled decision-making HL Yang, PA Dias, J Arndt, J Wohlgemuth, A Potnis, D Lunga Advances in Machine Learning and Image Analysis for GeoAI, 93, 2024 | | 2024 |
Pattern Abstraction from Global, Multi-Layered Geophysical Data D King, M Mollett, J Wilson, J Arndt, J Wohlgemuth, J Bowman, L Yang, ... AGU23, 2023 | | 2023 |
Identifying hard-to-learn samples in a gravity anomaly database using neural networks and uncertainty estimation J Arndt, L Yang, J Wohlgemuth, J Bowman, D King AGU23, 2023 | | 2023 |
Towards Geospatial Knowledge Graph Infused Neuro-Symbolic AI for Remote Sensing Scene Understanding A Potnis, D Lunga, A Sorokine, P Dias, L Yang, J Arndt, J Bowman, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
Global-Scale AI for Gravity Prediction D King, L Yang, D Lunga, M Mollett, CF Minter, J Bowman, J Arndt, ... AGU Fall Meeting Abstracts 2022, H33A-05, 2022 | | 2022 |
Deep Feature Extraction Methods and Clustering of Geophysical Datasets M Mollett, D King, CF Minter, J Beale, M Wootten, J Arndt, C Glennon, ... AGU Fall Meeting Abstracts 2022, IN56A-04, 2022 | | 2022 |
Towards trustworthy machine learning workflow for mapping gravity anomaly: Preliminary exploration of XAI L Yang, J Bowman, J Arndt, J Wohlgemuth, D Lunga, D King, CF Minter AGU Fall Meeting Abstracts 2022, IN12B-0272, 2022 | | 2022 |
AI/ML Assurance: Applications in Geospatial Sciences V Tombs, J Wohlgemuth, AK Patra, D Lu, S Guggilam AGU23, 0 | | |