8 citations
- Institute of Cognitive and Brain SciencesUS5 papers
- Korea UniversityKR3 papers
- Artificial Intelligence in Medicine (Canada)CA1 paper
- Berlin Institute for the Foundations of Learning and DataDE1 paper
- Berlin Institute of Health at Charité - Universitätsmedizin BerlinDE1 paper
- Catholic University of KoreaKR1 paper
- Charité - Universitätsmedizin BerlinDE1 paper
- ETH ZurichCH1 paper
- Hanyang UniversityKR1 paper
- Jeju National UniversityKR1 paper
- Max Planck Institute for InformaticsDE1 paper
- Miami UniversityUS1 paper
10 papers
I see artifacts: ICA-based EEG artifact removal does not improve deep network decoding across three BCI tasks
Taeho Kang, Yiyu Chen, Christian Wallraven
In this paper, we conduct a detailed investigation on the effect of independent component (IC)-based noise rejection methods in neural network classifier-based decoding of electroe…
Consciousness-ECG Transformer for Conscious State Estimation System with Real-Time Monitoring
Young-Seok Kweon, Gi-Hwan Shin, Ji-Yong Kim +2
Conscious state estimation is important in various medical settings, including sleep staging and anesthesia management, to ensure patient safety and optimize health outcomes. Tradi…
Humanoid Artificial Consciousness Designed with Large Language Model Based on Psychoanalysis and Personality Theory
Sang Hun Kim, Jongmin Lee, Dongkyu Park +2
Human consciousness is still a concept hard to define with current scientific understanding. Although Large Language Models (LLMs) have recently demonstrated significant advancemen…
Fast and Accurate Explanations of Distance-Based Classifiers by Uncovering Latent Explanatory Structures
Florian Bley, Jacob Kauffmann, Simon León Krug +2
Distance-based classifiers, such as k-nearest neighbors and support vector machines, continue to be a workhorse of machine learning, widely used in science and industry. In practic…
DIVE: Towards Descriptive and Diverse Visual Commonsense Generation
Jun-Hyung Park, Hyuntae Park, Youjin Kang +2
Towards human-level visual understanding, visual commonsense generation has been introduced to generate commonsense inferences beyond images. However, current research on visual co…
Decoding Event-related Potential from Ear-EEG Signals based on Ensemble Convolutional Neural Networks in Ambulatory Environment
Young-Eun Lee, Seong-Whan Lee
Recently, practical brain-computer interface is actively carried out, especially, in an ambulatory environment. However, the electroencephalography (EEG) signals are distorted by m…