UB Paderborn / Katalog / Suche / in CDI

Sortiert nach

Einfacher Volltextzugriff von (fast) überall

Installieren Sie die LibKey Nomad-Browsererweiterung und erhalten Sie von vielen Webseiten einfachen Zugriff auf lizenzierte Volltexte oder Open Access Publikationen. Mehr erfahren...

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

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

2018

Volltextzugriff (PDF)

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

Longo, Luca

1st ed. 2023., 2023

Volltextzugriff (PDF)

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

Longo, Luca

1st ed. 2023., 2023

Volltextzugriff (PDF)

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

Longo, Luca

1st ed. 2023., 2023

Volltextzugriff (PDF)

Computer Supported Qualitative Research: New Trends in Qualitative Research (WCQR2021)

1, 2021

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

Classification of Explainable Artificial Intelligence Methods through Their Output Formats

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

2021

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

Human Mental Workload: A Survey and a Novel Inclusive Definition

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

2022

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

1st Edition 2023, 2023

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

Notions of explainability and evaluation approaches for explainable artificial intelligence

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

2021

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

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

1st ed. 2021., 2021

Volltextzugriff (PDF)

Novel Emerging Molecular Targets in Non-Small Cell Lung Cancer

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

2021

Volltextzugriff (PDF)

A global model-agnostic rule-based XAI method based on Parameterized Event Primitives for time series classifiers

Frontiers in artificial intelligence, 2024-09, Vol.7, p.1381921

2024

Volltextzugriff (PDF)

Identification of ALK as a major familial neuroblastoma predisposition gene

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

2008

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

A Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI

Machine learning and knowledge extraction, 2024-09, Vol.6 (3), p.2049-2073

2024

Volltextzugriff (PDF)

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, 2024-04, Vol.14 (4), p.335

2024

Volltextzugriff (PDF)

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

Volltextzugriff (PDF)

1 – 25 von 1.621

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(1.131)
Mit Volltextzugriff
(1.489)

Publikationsform

2 weitere anzeigen...

Weniger anzeigen...

Sprache

Englisch
(1.613)
Italienisch
(8)
Deutsch
(1)
Russisch
(1)

Erscheinungsjahr

n.n

Thema

Science & Technology
(917)
Life Sciences & Biomedicine
(510)
Technology
(343)
Humans
(316)
Computer Science
(286)
Computer Science, Theory & Methods
(215)
Computer Science, Artificial Intelligence
(211)
Male
(170)
Female
(169)
Oncology
(134)
Middle Aged
(106)
Physical Sciences
(100)
Engineering
(93)
Adult
(92)
Aged
(82)
Medicine
(81)
Patients
(80)
Medicine & Public Health
(75)
Physics
(73)
Surgery
(66)

15 weitere anzeigen...

Weniger anzeigen...

Zeitschrift / Serie

5 weitere anzeigen...

Weniger anzeigen...

Neu hinzugefügt

Menü

Weitere Dienste

Einstellungen

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 II

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

Computer Supported Qualitative Research: New Trends in Qualitative Research (WCQR2021)

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

Human Mental Workload: A Survey and a Novel Inclusive Definition

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

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

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

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

Notions of explainability and evaluation approaches for explainable artificial intelligence

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

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

Novel Emerging Molecular Targets in Non-Small Cell Lung Cancer

A global model-agnostic rule-based XAI method based on Parameterized Event Primitives for time series classifiers

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 Novel Integration of Data-Driven Rule Generation and Computational Argumentation for Enhanced Explainable AI

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

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

Suchergebnisse filtern