An integrated cluster detection, optimization, and interpretation approach for financial data
In many financial applications, such as fraud detection, reject inference, and credit
evaluation, detecting clusters automatically is critical because it helps to understand the …
evaluation, detecting clusters automatically is critical because it helps to understand the …
[HTML][HTML] Eyes-closed increases the usability of brain-computer interfaces based on auditory event-related potentials
Recent research has demonstrated how brain-computer interfaces (BCI) based on auditory
stimuli can be used for communication and rehabilitation. In these applications, users are …
stimuli can be used for communication and rehabilitation. In these applications, users are …
Online optimization of stimulation speed in an auditory brain-computer interface under time constraints
The decoding of brain signals recorded via, eg, an electroencephalogram, using machine
learning is key to brain-computer interfaces (BCIs). Stimulation parameters or other …
learning is key to brain-computer interfaces (BCIs). Stimulation parameters or other …
Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer Interfaces
J Sosulski, M Tangermann - 2019 41st Annual International …, 2019 - ieeexplore.ieee.org
The time between the onset of subsequent auditory or visual stimuli-also known as stimulus
onset asynchrony (SOA)-determines many of the event-related potential characteristics of …
onset asynchrony (SOA)-determines many of the event-related potential characteristics of …
[PDF][PDF] Rapidly adapting machine learning methods for brain-computer interfaces
J Sosulski - 2024 - scholar.archive.org
ABSTRACT A brain–computer interface (BCI) is a system that measures brain activity,
interprets the obtained signals and usually performs a corresponding action. Notably, a BCI …
interprets the obtained signals and usually performs a corresponding action. Notably, a BCI …
[PDF][PDF] Heterogeneity of Event-Related Potentials in a Screen-free Brain-Computer Interface.
H Kolkhorst, J Veit, W Burgard… - GBCIC, 2019 - ais.informatik.uni-freiburg.de
Interacting with the environment using a brain-computer interface involves mapping a
decoded user command to a desired real-world action, which is typically achieved using …
decoded user command to a desired real-world action, which is typically achieved using …
[HTML][HTML] A robust screen-free brain-computer interface for robotic object selection
H Kolkhorst, J Veit, W Burgard… - Frontiers in Robotics and …, 2020 - frontiersin.org
Brain signals represent a communication modality that can allow users of assistive robots to
specify high-level goals, such as the object to fetch and deliver. In this paper, we consider a …
specify high-level goals, such as the object to fetch and deliver. In this paper, we consider a …