During the meeting of the WG, we developed a first prototype converter for this task, demonstrating that such interoperability functions can be implemented.
We further adapt and evaluate named entity and event extraction methods for the new task, demonstrating that both can be achieved with performance broadly comparable with that for established molecular entity and event extraction tasks.
These findings suggest that processing of unattended visual deviant stimuli is restricted by the attentional demands of a primary task, as previously demonstrated for unattended auditory deviant tones.
Moreover, variability in subjective time increased with mean subjective time in both tasks, demonstrating that performance was scalar for both explicit and implicit timing.
We report on several projects using AFs for difficult audio classification tasks, demonstrating their advantage over standard audio features.
A visual divergence task called ShapeStorm is demonstrated for the study of creative ideation that can be applied to humans as well as computational systems.
A generic approach to designing microsensor arrays for complex chemical sensing tasks is described and demonstrated for the problem of recognizing chemical hazards at sublethal concentrations, under varying ambient conditions, and in the presence of interfering chemicals.
This is in line with the finding that task skill consolidation between sessions may positively influence performance on subsequent encounters with the same task, which has been previously demonstrated for procedural and declarative learning (Cohen et al. 2005; Brown and Robertson 2007; Robertson 2009).
The system's performance is demonstrated for the task of exploring an unknown environment and incrementally building up a geometrical model of it.
The task-based design approaches are demonstrated for a reposition metamorphic mechanism for broken strands of the repair robot used in extra-high-voltage power transmission lines.
