Следене
Samuel Armstrong
Samuel Armstrong
Потвърден имейл адрес: colostate.edu
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Позовавания
Позовавания
Година
Lightweight, embeddings based storage and model construction over satellite data collections
K Bruhwiler, P Khandelwal, D Rammer, S Armstrong, SL Pallickara, ...
2020 IEEE International Conference on Big Data (Big Data), 246-255, 2020
82020
Small is beautiful: Distributed orchestration of spatial deep learning workloads
D Rammer, K Bruhwiler, P Khandelwal, S Armstrong, S Pallickara, ...
2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing …, 2020
42020
Cloudnet: A deep learning approach for mitigating occlusions in landsat-8 imagery using data coalescence
P Khandelwal, S Armstrong, A Matin, S Pallickara, SL Pallickara
2022 IEEE 18th International Conference on e-Science (e-Science), 117-127, 2022
22022
Rapid betweenness centrality estimates for transportation networks using capsule networks
A Matin, S Armstrong, S Mitra, S Pallickara, SL Pallickara
2022 Fourth International Conference on Transdisciplinary AI (TransAI), 89-96, 2022
22022
Attention-based convolutional capsules for evapotranspiration estimation at scale
S Armstrong, P Khandelwal, D Padalia, G Senay, D Schulte, A Andales, ...
Environmental Modelling & Software 152, 105366, 2022
22022
Rapid, Progressive Sub-Graph Explorations for Interactive Visual Analytics over Large-Scale Graph Datasets
S Armstrong, K Bruhwiler, SL Pallickara
Proceedings of the 6th IEEE/ACM International Conference on Big Data …, 2019
22019
A Generative Augmentation Framework for Contrastive Learning
SV Armstrong, A Matin, S Pallickara, S Pallickara
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Статии 1–7