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Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

IEEE transactions on biomedical engineering, 2019-05, Vol.66 (5), p.1285-1296

2019

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Tensor-based classification of an auditory mobile BCI without a subject-specific calibration phase

Journal of neural engineering, 2016-04, Vol.13 (2), p.026005-026005

2016

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SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

IEEE transactions on neural systems and rehabilitation engineering, 2019-03, Vol.27 (3), p.400

2019

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Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning

IEEE transactions on biomedical engineering, 2021-06, Vol.68 (6), p.1787-1798

2021

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IEEE_Xplore

Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach

Sensors (Basel, Switzerland), 2021-09, Vol.21 (18), p.6311

2021

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A Novel Loss for Change Point Detection Models with Time-invariant Representations

IEEE signal processing letters, 2023-01, Vol.30, p.1-5

2023

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IEEE_Xplore

Mobile EEG on the bike: disentangling attentional and physical contributions to auditory attention tasks

Journal of neural engineering, 2016-08, Vol.13 (4), p.046017-046017

2016

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Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones

IEEE transactions on biomedical engineering, 2020-12, Vol.67 (12), p.3491-3500

2020

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IEEE_Xplore

CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities

IEEE transactions on neural systems and rehabilitation engineering, 2024, Vol.32, p.840-849

2024

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Neonatal EEG sleep stage classification based on deep learning and HMM

Journal of neural engineering, 2020-06, Vol.17 (3), p.36031-036031

2020

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Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection

Sensors (Basel, Switzerland), 2021-02, Vol.21 (4), p.1046

2021

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Multivariate Generative Adversarial Networks and Their Loss Functions for Synthesis of Multichannel ECGs

IEEE access, 2021, Vol.9, p.158936-158945

2021

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Improved Electrode Motion Artefact Denoising in ECG Using Convolutional Neural Networks and a Custom Loss Function

IEEE access, 2022, Vol.10, p.54891-54898

2022

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Block term decomposition for modelling epileptic seizures

EURASIP journal on advances in signal processing, 2014-09, Vol.2014 (1), p.1-19, Article 139

2014

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Multimodal detection of typical absence seizures in home environment with wearable electrodes

Frontiers in signal processing (Lausanne), 2022-10, Vol.2

2022

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Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using Smartphones

IEEE open journal of engineering in medicine and biology, 2022-01, Vol.3, p.202-210

2022

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Look me in the eye: evaluating the accuracy of smartphone-based eye tracking for potential application in autism spectrum disorder research

Biomedical engineering online, 2019-05, Vol.18 (1), p.51-51, Article 51

2019

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Denoising EEG Signals for Real-World BCI Applications Using GANs

Frontiers in neuroergonomics, 2022-01, Vol.2, p.805573-805573

2022

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The Power of ECG in Semi-Automated Seizure Detection in Addition to Two-Channel behind-the-Ear EEG

Bioengineering (Basel), 2023-04, Vol.10 (4), p.491

2023

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ICA extracts epileptic sources from fMRI in EEG-negative patients: a retrospective validation study

PloS one, 2013-11, Vol.8 (11), p.e78796-e78796

2013

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Unifying Isolated and Overlapping Audio Event Detection with Multi-label Multi-task Convolutional Recurrent Neural Networks

ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2019, p.51-55

2019

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IEEE_Xplore

Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks

2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018, Vol.2018, p.1452-1455

2018

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A combination of parallel factor and independent component analysis

Signal processing, 2012-12, Vol.92 (12), p.2990-2999

2012

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Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data

IEEE transactions on biomedical engineering, 2019-05, Vol.66 (5), p.1402-1411

2019

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Electrocardiogram Quality Assessment Using Unsupervised Deep Learning

IEEE transactions on biomedical engineering, 2022-02, Vol.69 (2), p.882-893

2022

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IEEE_Xplore

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Joint Classification and Prediction CNN Framework for Automatic Sleep Stage Classification

Tensor-based classification of an auditory mobile BCI without a subject-specific calibration phase

SeqSleepNet: End-to-End Hierarchical Recurrent Neural Network for Sequence-to-Sequence Automatic Sleep Staging

Towards More Accurate Automatic Sleep Staging via Deep Transfer Learning

Estimation of Continuous Blood Pressure from PPG via a Federated Learning Approach

A Novel Loss for Change Point Detection Models with Time-invariant Representations

Mobile EEG on the bike: disentangling attentional and physical contributions to auditory attention tasks

Building a Machine-Learning Framework to Remotely Assess Parkinson's Disease Using Smartphones

CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities

Neonatal EEG sleep stage classification based on deep learning and HMM

Classification with a Deferral Option and Low-Trust Filtering for Automated Seizure Detection

Multivariate Generative Adversarial Networks and Their Loss Functions for Synthesis of Multichannel ECGs

Improved Electrode Motion Artefact Denoising in ECG Using Convolutional Neural Networks and a Custom Loss Function

Block term decomposition for modelling epileptic seizures

Multimodal detection of typical absence seizures in home environment with wearable electrodes

Longitudinal Trend Monitoring of Multiple Sclerosis Ambulation Using Smartphones

Look me in the eye: evaluating the accuracy of smartphone-based eye tracking for potential application in autism spectrum disorder research

Denoising EEG Signals for Real-World BCI Applications Using GANs

The Power of ECG in Semi-Automated Seizure Detection in Addition to Two-Channel behind-the-Ear EEG

ICA extracts epileptic sources from fMRI in EEG-negative patients: a retrospective validation study

Unifying Isolated and Overlapping Audio Event Detection with Multi-label Multi-task Convolutional Recurrent Neural Networks

Automatic Sleep Stage Classification Using Single-Channel EEG: Learning Sequential Features with Attention-Based Recurrent Neural Networks

A combination of parallel factor and independent component analysis

Multi-Source Ensemble Learning for the Remote Prediction of Parkinson's Disease in the Presence of Source-Wise Missing Data

Electrocardiogram Quality Assessment Using Unsupervised Deep Learning

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