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Experienced mental workload, perception of usability, their interaction and impact on task performance

PloS one, 2018-08, Vol.13 (8), p.e0199661-e0199661

2018

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Explainable Artificial Intelligence: First World Conference, XAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part I

Longo, Luca

1st ed. 2023., 2023

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Explainable Artificial Intelligence: First World Conference, XAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part III

Longo, Luca

1st ed. 2023., 2023

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Explainable Artificial Intelligence: First World Conference, XAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part II

Longo, Luca

1st ed. 2023., 2023

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Computer Supported Qualitative Research: New Trends on Qualitative Research

1st ed. 2019., 2018

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Modeling Cognitive Load as a Self-Supervised Brain Rate with Electroencephalography and Deep Learning

Brain sciences, 2022-10, Vol.12 (10), p.1416

Longo, Luca

2022

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Classification of Explainable Artificial Intelligence Methods through Their Output Formats

Machine learning and knowledge extraction, 2021-09, Vol.3 (3), p.615-661

2021

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An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload

Frontiers in neuroinformatics, 2022-05, Vol.16, p.861967-861967

2022

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Artificial Intelligence and Cognitive Science: 30th Irish Conference, AICS 2022, Munster, Ireland, December 8–9, 2022, Revised Selected Papers

1st Edition 2023, 2023

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Schizo-Net: A novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices

IEEE transactions on neural systems and rehabilitation engineering, 2023-01, Vol.31, p.464-473

2023

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Notions of explainability and evaluation approaches for explainable artificial intelligence

Information fusion, 2021-12, Vol.76, p.89-106

2021

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Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands

IEEE access, 2022, Vol.10, p.107575-107586

2022

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Interpreting Disentangled Representations of Person-Specific Convolutional Variational Autoencoders of Spatially Preserving EEG Topographic Maps via Clustering and Visual Plausibility

Information (Basel), 2023-09, Vol.14 (9), p.489

2023

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Comparing ANOVA and PowerShap Feature Selection Methods via Shapley Additive Explanations of Models of Mental Workload Built with the Theta and Alpha EEG Band Ratios

BioMedInformatics, 2024-03, Vol.4 (1), p.853-876

2024

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On the Dimensionality and Utility of Convolutional Autoencoder’s Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps

Machine learning and knowledge extraction, 2022-11, Vol.4 (4), p.1042-1064

2022

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Human Mental Workload: A Survey and a Novel Inclusive Definition

Frontiers in psychology, 2022-06, Vol.13, p.883321-883321

2022

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A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods

Frontiers in artificial intelligence, 2021-11, Vol.4, p.717899-717899

2021

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Human Mental Workload: Models and Applications : 5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24-26, 2021, Proceedings

1st ed. 2021., 2021

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Identification of ALK as a major familial neuroblastoma predisposition gene

Nature (London), 2008-10, Vol.455 (7215), p.930-935

2008

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How Visual Stimuli Evoked P300 is Transforming the Brain-Computer Interface Landscape: A PRISMA Compliant Systematic Review

IEEE transactions on neural systems and rehabilitation engineering, 2023, Vol.31, p.1429-1439

2023

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A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer's Disease with Electroencephalography in Resting-State Adults

Brain sciences, 2024-03, Vol.14 (4), p.335

2024

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Human Mental Workload: Models and Applications : 4th International Symposium, H-WORKLOAD 2020, Granada, Spain, December 3-5, 2020, Proceedings

1st Edition 2020, 2020

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Novel Emerging Molecular Targets in Non-Small Cell Lung Cancer

International journal of molecular sciences, 2021-03, Vol.22 (5), p.2625

2021

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On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications

Frontiers in neuroinformatics, 2022-05, Vol.16, p.844667-844667

2022

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Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations

Machine learning and knowledge extraction, 2023-12, Vol.5 (4), p.1433-1455

2023

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Experienced mental workload, perception of usability, their interaction and impact on task performance

Explainable Artificial Intelligence: First World Conference, XAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part I

Explainable Artificial Intelligence: First World Conference, XAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part III

Explainable Artificial Intelligence: First World Conference, XAI 2023, Lisbon, Portugal, July 26-28, 2023, Proceedings, Part II

Computer Supported Qualitative Research: New Trends on Qualitative Research

Modeling Cognitive Load as a Self-Supervised Brain Rate with Electroencephalography and Deep Learning

Classification of Explainable Artificial Intelligence Methods through Their Output Formats

An Evaluation of the EEG Alpha-to-Theta and Theta-to-Alpha Band Ratios as Indexes of Mental Workload

Artificial Intelligence and Cognitive Science: 30th Irish Conference, AICS 2022, Munster, Ireland, December 8–9, 2022, Revised Selected Papers

Schizo-Net: A novel Schizophrenia Diagnosis Framework Using Late Fusion Multimodal Deep Learning on Electroencephalogram-Based Brain Connectivity Indices

Notions of explainability and evaluation approaches for explainable artificial intelligence

Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands

Interpreting Disentangled Representations of Person-Specific Convolutional Variational Autoencoders of Spatially Preserving EEG Topographic Maps via Clustering and Visual Plausibility

Comparing ANOVA and PowerShap Feature Selection Methods via Shapley Additive Explanations of Models of Mental Workload Built with the Theta and Alpha EEG Band Ratios

On the Dimensionality and Utility of Convolutional Autoencoder’s Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps

Human Mental Workload: A Survey and a Novel Inclusive Definition

A Quantitative Evaluation of Global, Rule-Based Explanations of Post-Hoc, Model Agnostic Methods

Human Mental Workload: Models and Applications : 5th International Symposium, H-WORKLOAD 2021, Virtual Event, November 24-26, 2021, Proceedings

Identification of ALK as a major familial neuroblastoma predisposition gene

How Visual Stimuli Evoked P300 is Transforming the Brain-Computer Interface Landscape: A PRISMA Compliant Systematic Review

A Comparative Study on Feature Extraction Techniques for the Discrimination of Frontotemporal Dementia and Alzheimer's Disease with Electroencephalography in Resting-State Adults

Human Mental Workload: Models and Applications : 4th International Symposium, H-WORKLOAD 2020, Granada, Spain, December 3-5, 2020, Proceedings

Novel Emerging Molecular Targets in Non-Small Cell Lung Cancer

On the Minimal Amount of EEG Data Required for Learning Distinctive Human Features for Task-Dependent Biometric Applications

Explaining Deep Q-Learning Experience Replay with SHapley Additive exPlanations

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