Cover Image

Cross-Subject Statistical Shift Estimation for Generalized Electroencephalography-based Mental Workload Assessment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Albuquerque, Isabela, Monteiro, João, Rosanne, Olivier, Tiwari, Abhishek, Gagnon, Jean-François, Falk, Tiago H.
Format:	Preprint
Published:	2019
Subjects:	Machine Learning Signal Processing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Physiological Measures of the Mental Workload in Users of a Lower Limb Exosuit: A Comparison of Subjective and Objective Metrics
by: Mariani, Giulia, et al.
Published: (2025)

Supervised Contrastive Learning Framework for Electroencephalography-based Air-writing Recognition
by: Jain, Anant, et al.
Published: (2026)

Mental Workload Estimation with Electroencephalogram Signals by Combining Multi-Space Deep Models
by: Nguyen, Hong-Hai, et al.
Published: (2023)

Systematic Review of Experimental Paradigms and Deep Neural Networks for Electroencephalography-Based Cognitive Workload Detection
by: KN, Vishnu, et al.
Published: (2023)

Split Covariance Intersection with Correlated Components for Distributed Estimation
by: Cros, Colin, et al.
Published: (2024)

Generalizing to unseen domains via distribution matching
by: Albuquerque, Isabela, et al.
Published: (2019)

Investigating Brain Connectivity and Information Flow in Mental Workload Using EEG and fNIRS Integration
by: Qaremohammadlou, Mohaddese, et al.
Published: (2025)

SelfEEG: A Python library for Self-Supervised Learning in Electroencephalography
by: Del Pup, Federico, et al.
Published: (2023)

EEG Foundation Challenge: From Cross-Task to Cross-Subject EEG Decoding
by: Aristimunha, Bruno, et al.
Published: (2025)

Fine-Tuning Large Language Models Using EEG Microstate Features for Mental Workload Assessment
by: Raufi, Bujar
Published: (2025)

Cross-Subject Generalization for EEG Decoding: A Survey of Deep Learning Methods
by: Li, Taida, et al.
Published: (2026)

Evaluating the Scalability of Binary and Ternary CNN Workloads on RRAM-based Compute-in-Memory Accelerators
by: Cubero-Cascante, José, et al.
Published: (2025)

SAGE-HB: Swift Adaptation and Generalization in Massive MIMO Hybrid Beamforming
by: Karkan, Ali Hasanzadeh, et al.
Published: (2024)

Pseudorange Rigidity and Solvability of Cooperative GNSS Positioning
by: Cros, Colin, et al.
Published: (2024)

Revisiting Split Covariance Intersection: Correlated Components and Optimality
by: Cros, Colin, et al.
Published: (2025)

Multistatic OFDM Radar Fusion of MUSIC-based Angle Estimation
by: Willame, Martin, et al.
Published: (2024)

MAC Performance and Algorithmic Optimization in Matrix Multiplication Workloads
by: Negasa, D, et al.
Published: (2026)

QuantX: A Framework for Hardware-Aware Quantization of Generative AI Workloads
by: Ahmad, Muhammad, et al.
Published: (2025)

Deep Representation Learning for Open Vocabulary Electroencephalography-to-Text Decoding
by: Amrani, Hamza, et al.
Published: (2023)

Beyond Subjectivity: Continuous Cybersickness Detection Using EEG-based Multitaper Spectrum Estimation
by: Demirel, Berken Utku, et al.
Published: (2025)

Resting-State EEG Biomarkers of Tinnitus Robust to Cross-Subject and Cross-Platform Variation
by: Balaji, Adyant, et al.
Published: (2026)

Superimposed Cross-Pilots: Addressing Fractional Shifts in DoA-Aided OTFS
by: Marchese, Mauro, et al.
Published: (2026)

Statistical Radar Cross Section Characterization for Indoor Factory Targets
by: Azim, Ali Waqar, et al.
Published: (2024)

Statistical Analysis of Target Parameter Estimation Using Passive Radar
by: Viberg, Mats, et al.
Published: (2025)

Electroencephalography and Electromyography as a Non-Invasive Biomarker of Neural Regeneration: A Review of Central and Peripheral Nervous System Injury and Regeneration
by: Kheyrollah, Maryam, et al.
Published: (2026)

Two-Stage Prony-Based Estimation of Fractional Delay and Doppler Shifts in OTFS Modulation
by: Jitsumatsu, Yutaka, et al.
Published: (2025)

Multi-Source Domain Adaptation with Transformer-based Feature Generation for Subject-Independent EEG-based Emotion Recognition
by: Sartipi, Shadi, et al.
Published: (2024)

Instantaneous Bandwidth Estimation from Level-Crossing Samples via LSTM-based Encoder-Decoder Architecture
by: Königs, Johannes, et al.
Published: (2024)

Improving Rehabilitative Assessment with Statistical and Shape Preserving Surrogate Data and Singular Spectrum Analysis
by: Lee, T. K. M., et al.
Published: (2024)

One-Block Transformer (1BT) for EEG-Based Cognitive Workload Assessment
by: Gkikas, Stefanos, et al.
Published: (2026)

Power Spectral Density Estimation via Universal Truncated Order Statistics Filtering
by: Anchieta, David Campos, et al.
Published: (2025)

Beyond Diagonal RIS for ISAC Network: Statistical Analysis and Network Parameter Estimation
by: Nguyen, Thanh Luan, et al.
Published: (2025)

FAPEX: Fractional Amplitude-Phase Expressor for Robust Cross-Subject Seizure Prediction
by: Zheng, Ruizhe, et al.
Published: (2025)

Orchestrating Multimodal DNN Workloads in Wireless Neural Processing
by: Xu, Sai, et al.
Published: (2026)

Optimal Training Design for Over-the-Air Polynomial Power Amplifier Model Estimation
by: Rottenberg, François, et al.
Published: (2024)

Deep Learning for THz Channel Estimation and Beamforming Prediction via Sub-6GHz Channel
by: Bhattacharya, Sagnik, et al.
Published: (2024)

A Deep Learning based Signal Dimension Estimator with Single Snapshot Signal in Phased Array Radar Application
by: Ma, Yugang, et al.
Published: (2025)

Cascaded Self-supervised Learning for Subject-independent EEG-based Emotion Recognition
by: Wang, Hanqi, et al.
Published: (2024)

Detecting Structural Shifts in Multivariate Hawkes Processes with Fréchet Statistics
by: Luo, Rui, et al.
Published: (2023)

New Algorithm for Structured OFDM Channel Estimation using Subgroup Duality
by: Gonçalves, Demerson N., et al.
Published: (2025)