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Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy

ACM computing surveys, 2021-04, Vol.54 (2), p.1-38

2021

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The Use of Ensemble Empirical Mode Decomposition With Canonical Correlation Analysis as a Novel Artifact Removal Technique

IEEE transactions on biomedical engineering, 2013-01, Vol.60 (1), p.97-105

2013

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A P300-Based Brain-Computer Interface for Improving Attention

Frontiers in human neuroscience, 2019-01, Vol.12, p.524-524

2019

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Semi-Supervised Mixture Learning for Graph Neural Networks With Neighbor Dependence

IEEE transaction on neural networks and learning systems, 2024-09, Vol.35 (9), p.12528-12539

2024

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Algorithm for optimal denoising of Raman spectra

Analytical methods, 2018-01, Vol.10 (30), p.3759-3769

2018

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Brain–computer interface using a simplified functional near-infrared spectroscopy system

Journal of neural engineering, 2007-09, Vol.4 (3), p.219-226

2007

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Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation

Cognitive computation, 2020, Vol.12 (1), p.13-24

2020

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Adaptive data collection for intraindividual studies affected by adherence

Biometrical journal, 2023-10, Vol.65 (7), p.e2200203-n/a

2023

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Technology in Rehabilitation: Evaluating the Single Leg Squat Exercise with Wearable Inertial Measurement Units

Methods of information in medicine, 2017-01, Vol.56 (2), p.88-94

2017

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A dataset of text prompts, videos and video quality metrics from generative text-to-video AI models

Data in brief, 2024-06, Vol.54, p.110514-110514, Article 110514

2024

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Fast Compression of Large Semantic Web Data Using X10

IEEE transactions on parallel and distributed systems, 2016-09, Vol.27 (9), p.2603-2617

2016

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Facilitating motor imagery-based brain–computer interface for stroke patients using passive movement

Neural computing & applications, 2017, Vol.28 (11), p.3259-3272

2017

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NIRS-measured prefrontal cortex activity in neuroergonomics: strengths and weaknesses

Frontiers in human neuroscience, 2013-09, Vol.7, p.583-583

2013

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Detection of Chronic Kidney Disease using Machine Learning Algorithms with Least Number of Predictors

International journal of advanced computer science & applications, 2019, Vol.10 (8)

2019

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Technology in Rehabilitation: Comparing Personalised and Global Classification Methodologies in Evaluating the Squat Exercise with Wearable IMUs

Methods of information in medicine, 2017-01, Vol.56 (5), p.361-369

2017

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Artifact Removal in Physiological Signals-Practices and Possibilities

IEEE journal of biomedical and health informatics, 2012-05, Vol.16 (3), p.488-500

2012

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Classification of deadlift biomechanics with wearable inertial measurement units

Journal of biomechanics, 2017-06, Vol.58, p.155-161

2017

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The Potential of Electrospinning to Enable the Realization of Energy-Autonomous Wearable Sensing Systems

ACS nano, 2024-01, Vol.18 (4), p.2649-2684

2024

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Unraveling human social behavior motivations via inverse reinforcement learning-based link prediction

Computing, 2024-06, Vol.106 (6), p.1963-1986

2024

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Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative adversarial networks

Neurocomputing (Amsterdam), 2020-09, Vol.405, p.26-36

2020

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Adaptations of motor neural structures' activity to lapses in attention

Cerebral cortex (New York, N.Y. 1991), 2015-01, Vol.25 (1), p.66-74

2015

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A Methodology for Validating Artifact Removal Techniques for Physiological Signals

IEEE journal of biomedical and health informatics, 2012-09, Vol.16 (5), p.918-926

2012

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Technology in Strength and Conditioning: Assessing Bodyweight Squat Technique With Wearable Sensors

Journal of strength and conditioning research, 2017-08, Vol.31 (8), p.2303-2312

2017

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Technology in Strength and Conditioning Tracking Lower-Limb Exercises With Wearable Sensors

Journal of strength and conditioning research, 2017-06, Vol.31 (6), p.1726-1736

2017

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Accurate Reaction Times on Smartphones: The Challenges of Developing a Mobile Psychomotor Vigilance Task

2021 International Symposium on Wearable Computers, 2021, p.53-57

2021

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Generative Adversarial Networks in Computer Vision: A Survey and Taxonomy

The Use of Ensemble Empirical Mode Decomposition With Canonical Correlation Analysis as a Novel Artifact Removal Technique

A P300-Based Brain-Computer Interface for Improving Attention

Semi-Supervised Mixture Learning for Graph Neural Networks With Neighbor Dependence

Algorithm for optimal denoising of Raman spectra

Brain–computer interface using a simplified functional near-infrared spectroscopy system

Use of Neural Signals to Evaluate the Quality of Generative Adversarial Network Performance in Facial Image Generation

Adaptive data collection for intraindividual studies affected by adherence

Technology in Rehabilitation: Evaluating the Single Leg Squat Exercise with Wearable Inertial Measurement Units

A dataset of text prompts, videos and video quality metrics from generative text-to-video AI models

Fast Compression of Large Semantic Web Data Using X10

Facilitating motor imagery-based brain–computer interface for stroke patients using passive movement

NIRS-measured prefrontal cortex activity in neuroergonomics: strengths and weaknesses

Detection of Chronic Kidney Disease using Machine Learning Algorithms with Least Number of Predictors

Technology in Rehabilitation: Comparing Personalised and Global Classification Methodologies in Evaluating the Squat Exercise with Wearable IMUs

Artifact Removal in Physiological Signals-Practices and Possibilities

Classification of deadlift biomechanics with wearable inertial measurement units

The Potential of Electrospinning to Enable the Realization of Energy-Autonomous Wearable Sensing Systems

Unraveling human social behavior motivations via inverse reinforcement learning-based link prediction

Synthetic-Neuroscore: Using a neuro-AI interface for evaluating generative adversarial networks

Adaptations of motor neural structures' activity to lapses in attention

A Methodology for Validating Artifact Removal Techniques for Physiological Signals

Technology in Strength and Conditioning: Assessing Bodyweight Squat Technique With Wearable Sensors

Technology in Strength and Conditioning Tracking Lower-Limb Exercises With Wearable Sensors

Accurate Reaction Times on Smartphones: The Challenges of Developing a Mobile Psychomotor Vigilance Task

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