Affective brain-computer interfaces: Choosing a meaningful performance measuring metric

MR Mowla, RI Cano, KJ Dhuyvetter… - Computers in Biology and …, 2020 - Elsevier
Affective brain-computer interfaces are a relatively new area of research in affective
computing. Estimation of affective states can improve human-computer interaction as well as …

Decoding of single-trial EEG reveals unique states of functional brain connectivity that drive rapid speech categorization decisions

R Al-Fahad, M Yeasin… - Journal of neural …, 2020 - iopscience.iop.org
Objective. Categorical perception (CP) is an inherent property of speech perception. The
response time (RT) of listeners' perceptual speech identification is highly sensitive to …

Automatic multi-class sleep staging method based on novel hybrid features

WB Wang, D Qin, Y Fang, C Zhou, Y Zheng - Journal of Electrical …, 2024 - Springer
To address the problems of various sleep staging criteria and poor accuracy of sleep
staging, we proposed an effective method with novel hybrid features. Besides the common …

Selection of characteristics by hybrid method: RFE, ridge, lasso, and Bayesian for the power forecast for a photovoltaic system

J Cruz, W Mamani, C Romero, F Pineda - SN Computer Science, 2021 - Springer
Currently, the generation of alternative energy from solar radiation with photovoltaic systems
is growing, its efficiency depends on internal variables such as powers, voltages, currents; …

Independent components of EEG activity correlating with emotional state

Y Maruyama, Y Ogata, LA Martínez-Tejada, Y Koike… - Brain Sciences, 2020 - mdpi.com
Among brain-computer interface studies, electroencephalography (EEG)-based emotion
recognition is receiving attention and some studies have performed regression analyses to …

Early imaging-based predictive modeling of cognitive performance following therapy for childhood ALL

R Al-Fahad, M Yeasin, JO Glass, HM Conklin… - IEEE …, 2019 - ieeexplore.ieee.org
In the United States, Acute Lymphoblastic Leukemia (ALL), the most common child and
adolescent malignancy, accounts for roughly 25% of childhood cancers diagnosed annually …

Micro-states based dynamic brain connectivity in understanding the commonality and differences in gender-specific emotion processing

R Al-Fahad, M Yeasin - 2019 International Joint Conference on …, 2019 - ieeexplore.ieee.org
In this paper, we present a data-driven micro-states based complex network analysis on
cortical surface data to understand the connectives in modeling elicited emotion. In …

Selection of Characteristics by Hybrid Method: RFE, Ridge, Lasso, and Bayesian for the Power Forecast for a Photovoltaic System

F Pineda - Soft Computing and its Engineering Applications …, 2021 - books.google.com
Currently, the generation of alternative energy from solar radiation with photovoltaic systems
is growing, its efficiency depends on internal variables such as powers, voltages, currents; …

[图书][B] Multivariate Modeling of Cognitive Performance and Categorical Perception from Neuroimaging Data

R Al-Fahad - 2020 - search.proquest.com
State-of-the-art cognitive-neuroscience mainly uses hypothesis-driven statistical testing to
characterize and model neural disorders and diseases. While such techniques have proven …