UB Paderborn / Katalog / Suche / in CDI

1 – 19 von 19

Sortiert nach

Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology

Medical image analysis, 2018-08, Vol.48, p.43-57

2018

Volltextzugriff (PDF)

Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning

Frontiers in physiology, 2021-10, Vol.12, p.740306-740306

2021

Volltextzugriff (PDF)

Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences

Information Processing in Medical Imaging, p.153-166

Volltextzugriff (PDF)

Bayesian Active Learning for Personalization and Uncertainty Quantification in Cardiac Electrophysiological Model

Dhamala, Jwala

2020

Volltextzugriff (PDF)

Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology

IEEE transactions on medical imaging, 2017-09, Vol.36 (9), p.1966-1978

2017

Volltextzugriff (PDF)

BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, 2021, p.862-872

2021

Volltextzugriff (PDF)

Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models

Medical image analysis, 2020-05, Vol.62, p.101670-101670, Article 101670

2020

Volltextzugriff (PDF)

Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization

Medical Image Computing and Computer Assisted Intervention – MICCAI 2019, p.458-467

Volltextzugriff (PDF)

Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.508-516

Volltextzugriff (PDF)

High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model

Medical Image Computing and Computer Assisted Intervention – MICCAI 2018, p.499-507

Volltextzugriff (PDF)

Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models

Information Processing in Medical Imaging, p.223-235

Volltextzugriff (PDF)

Multivariate Time-Series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection

IEEE sensors letters, 2019-01, Vol.3 (1), p.1-4

2019

Volltextzugriff (PDF)

Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction

Medical Image Computing and Computer Assisted Intervention – MICCAI 2020, p.487-496

Volltextzugriff (PDF)

Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models

Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016, Vol.9902, p.282-290

2016

Volltextzugriff (PDF)

“I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation

Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency, 2023, p.1246-1266

2023

Volltextzugriff (PDF)

An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation

2022 IEEE Spoken Language Technology Workshop (SLT), 2023, p.655-662

2023

Volltextzugriff (PDF)

Measures and Best Practices for Responsible AI

Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining, 2021, p.4118-4118

2021

Volltextzugriff (PDF)

Incorporating Fairness in Large Scale NLU Systems

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023, p.1289-1290

2023

Volltextzugriff (PDF)

Overcoming barriers to quantification and comparison of electrocardiographic imaging methods: A community-based approach

2017 Computing in Cardiology (CinC), 2017, Vol.44, p.1-4

2017

Volltextzugriff (PDF)

1 – 19 von 19

Suche als RSS-Feed

Suchergebnisse filtern

Filter anzeigen

Nur zeigen

Geprüft (Peer-Review)
(11)
Mit Volltextzugriff
(17)

Publikationsform

Sprache

Englisch
(19)
Japanisch
(1)

Erscheinungsjahr

n.n

Zeitschrift / Serie

Medical Image Analysis
(2)
Frontiers In Physiology
(1)
Ieee Sensors Letters
(1)
Ieee Transactions On Medical Imaging
(1)

Menü

Weitere Dienste

Einstellungen

Quantifying the uncertainty in model parameters using Gaussian process-based Markov chain Monte Carlo in cardiac electrophysiology

Fast Posterior Estimation of Cardiac Electrophysiological Model Parameters via Bayesian Active Learning

Improving Generalization of Deep Networks for Inverse Reconstruction of Image Sequences

Bayesian Active Learning for Personalization and Uncertainty Quantification in Cardiac Electrophysiological Model

Spatially Adaptive Multi-Scale Optimization for Local Parameter Estimation in Cardiac Electrophysiology

BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation

Embedding high-dimensional Bayesian optimization via generative modeling: Parameter personalization of cardiac electrophysiological models

Bayesian Optimization on Large Graphs via a Graph Convolutional Generative Model: Application in Cardiac Model Personalization

Generative Modeling and Inverse Imaging of Cardiac Transmembrane Potential

High-Dimensional Bayesian Optimization of Personalized Cardiac Model Parameters via an Embedded Generative Model

Quantifying the Uncertainty in Model Parameters Using Gaussian Process-Based Markov Chain Monte Carlo: An Application to Cardiac Electrophysiological Models

Multivariate Time-Series Similarity Assessment via Unsupervised Representation Learning and Stratified Locality Sensitive Hashing: Application to Early Acute Hypotensive Episode Detection

Learning Geometry-Dependent and Physics-Based Inverse Image Reconstruction

Spatially-Adaptive Multi-scale Optimization for Local Parameter Estimation: Application in Cardiac Electrophysiological Models

“I’m fully who I am”: Towards Centering Transgender and Non-Binary Voices to Measure Biases in Open Language Generation

An Analysis of The Effects of Decoding Algorithms on Fairness in Open-Ended Language Generation

Measures and Best Practices for Responsible AI

Incorporating Fairness in Large Scale NLU Systems

Overcoming barriers to quantification and comparison of electrocardiographic imaging methods: A community-based approach

Suchergebnisse filtern