| 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 | 8 | 2020 |
| 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 | 4 | 2020 |
| 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 | 2 | 2022 |
| 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 | 2 | 2022 |
| 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 | 2 | 2022 |
| 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 | 2 | 2019 |
| TRANSFORMER, DIFFUSION, AND GAN-BASED AUGMENTATIONS FOR CONTRASTIVE LEARNING OF VISUAL REPRESENTATIONS SV Armstrong, S Pallickara, S Pallickara, S Ghosh, JF Breidt Colorado State University. Libraries, 2024 | | 2024 |
| A Generative Augmentation Framework for Contrastive Learning SV Armstrong, A Matin, S Pallickara, S Pallickara | | |
