Samuel Armstrong

According to our database, Samuel Armstrong authored at least 9 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Unconscious Influences on "Free Will" Movement Initiation: Slow-wave Brain Stimulation and the Readiness Potential.

Samuel Armstrong, Nicholas S. Bland, Martin V. Sale, Ross Cunnington

J. Cogn. Neurosci., 2022

Attention-based convolutional capsules for evapotranspiration estimation at scale.

Samuel Armstrong, Paahuni Khandelwal, Dhruv Padalia, Gabriel B. Senay, Darin Schulte, Allan A. Andales, F. Jay Breidt, Shrideep Pallickara, Sangmi Lee Pallickara

Environ. Model. Softw., 2022

Survey of Machine Learning Techniques To Predict Heartbeat Arrhythmias.

Samuel Armstrong

CoRR, 2022

Rapid Betweenness Centrality Estimates for Transportation Networks using Capsule Networks.

Abdul Matin, Samuel Armstrong, Saptashwa Mitra, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the Fourth International Conference on Transdisciplinary AI, 2022

Reconsidering an Agent-Based Model of Food Web Evolution.

Samuel Armstrong, Emma Norling

Proceedings of the Multi-Agent-Based Simulation XXIII - 23rd International Workshop, 2022

CloudNet: A Deep Learning Approach for Mitigating Occlusions in Landsat-8 Imagery using Data Coalescence.

Paahuni Khandelwal, Samuel Armstrong, Abdul Matin, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the 18th IEEE International Conference on e-Science, 2022

2020

Small is Beautiful: Distributed Orchestration of Spatial Deep Learning Workloads.

Daniel Rammer, Kevin Bruhwiler, Paahuni Khandelwal, Samuel Armstrong, Shrideep Pallickara, Sangmi Lee Pallickara

Proceedings of the 13th IEEE/ACM International Conference on Utility and Cloud Computing, 2020

Lightweight, Embeddings Based Storage and Model Construction Over Satellite Data Collections.

Kevin Bruhwiler, Paahuni Khandelwal, Daniel Rammer, Samuel Armstrong, Sangmi Lee Pallickara, Shrideep Pallickara

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

Rapid, Progressive Sub-Graph Explorations for Interactive Visual Analytics over Large-Scale Graph Datasets.

Samuel Armstrong, Kevin Bruhwiler, Sangmi Lee Pallickara

Proceedings of the 6th IEEE/ACM International Conference on Big Data Computing, 2019