Samuel Armstrong

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 9

Top Topics

Visual Analytics

Data Collections

Top Venues

Publications

Samuel Armstrong
Survey of Machine Learning Techniques To Predict Heartbeat Arrhythmias. CoRR (2022)
Samuel Armstrong, Paahuni Khandelwal, Dhruv Padalia, Gabriel B. Senay, Darin Schulte, Allan A. Andales, F. Jay Breidt, Shrideep Pallickara, Sangmi Lee Pallickara
Attention-based convolutional capsules for evapotranspiration estimation at scale. Environ. Model. Softw. 152 (2022)
Paahuni Khandelwal, Samuel Armstrong, Abdul Matin, Shrideep Pallickara, Sangmi Lee Pallickara
CloudNet: A Deep Learning Approach for Mitigating Occlusions in Landsat-8 Imagery using Data Coalescence. e-Science (2022)
Samuel Armstrong, Nicholas S. Bland, Martin V. Sale, Ross Cunnington
Unconscious Influences on "Free Will" Movement Initiation: Slow-wave Brain Stimulation and the Readiness Potential. J. Cogn. Neurosci. 34 (6) (2022)
Samuel Armstrong, Emma Norling
Reconsidering an Agent-Based Model of Food Web Evolution. MABS (2022)
Abdul Matin, Samuel Armstrong, Saptashwa Mitra, Shrideep Pallickara, Sangmi Lee Pallickara
Rapid Betweenness Centrality Estimates for Transportation Networks using Capsule Networks. TransAI (2022)
Daniel Rammer, Kevin Bruhwiler, Paahuni Khandelwal, Samuel Armstrong, Shrideep Pallickara, Sangmi Lee Pallickara
Small is Beautiful: Distributed Orchestration of Spatial Deep Learning Workloads. UCC (2020)
Kevin Bruhwiler, Paahuni Khandelwal, Daniel Rammer, Samuel Armstrong, Sangmi Lee Pallickara, Shrideep Pallickara
Lightweight, Embeddings Based Storage and Model Construction Over Satellite Data Collections. IEEE BigData (2020)
Samuel Armstrong, Kevin Bruhwiler, Sangmi Lee Pallickara
Rapid, Progressive Sub-Graph Explorations for Interactive Visual Analytics over Large-Scale Graph Datasets. BDCAT (2019)