1.5k citations
- Hewlett-Packard (United Kingdom)GB10 papers
- California Institute of TechnologyUS9 papers
- University of WalesGB8 papers
- Bhabha Atomic Research CentreIN7 papers
- Institute of Physics, BhubaneshwarIN5 papers
- The University of QueenslandAU5 papers
- Imperial College LondonGB4 papers
- Institute of PhysicsPL4 papers
- Jet Propulsion LaboratoryUS4 papers
- National Research Tomsk State UniversityRU4 papers
- Tomsk Polytechnic UniversityRU4 papers
- University of OxfordGB4 papers
152 papers
Instance-Based Transfer Learning with Similarity-Aware Subject Selection for Cross-Subject SSVEP-Based BCIs
Ziwen Wang, Yue Zhang, Zhiqiang Zhang +4
Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) can achieve high recognition accuracy with sufficient training data. Transfer learning presents…
Spatial Clustering of Citizen Science Data Improves Downstream Species Distribution Models
Nahian Ahmed, Mark Roth, Tyler A. Hallman +2
Citizen science biodiversity data present great opportunities for ecology and conservation across vast spatial and temporal scales. However, the opportunistic nature of these data…
Thermodynamics and transport in molten chloride salts and their mixtures
Cillian Cockrell, Margaret-Ann Withington, Harvey L. Devereux +7
Molten salts are important in a number of energy applications, but the fundamental mechanisms operating in ionic liquids are poorly understood, particularly at higher temperatures.…
Attention-Aware Visualization: Tracking and Responding to User Perception Over Time
Arvind Srinivasan, Johannes Ellemose, Peter W. S. Butcher +2
We propose the notion of Attention-Aware Visualizations (AAVs) that track the user's perception of a visual representation over time and feed this information back to the visualiza…
The Reality of the Situation: A Survey of Situated Analytics
Sungbok Shin, Andrea Batch, Peter W. S. Butcher +2
The advent of low cost, accessible, and high performance augmented reality (AR) has shed light on a situated form of analytics where in-situ visualizations embedded in the real wor…
Stacking Ensemble Learning in Deep Domain Adaptation for Ophthalmic Image Classification
Yeganeh Madadi, Vahid Seydi, Jian Sun +2
Domain adaptation is an attractive approach given the availability of a large amount of labeled data with similar properties but different domains. It is effective in image classif…