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William L. Kath

Also published under: W. L. Kath, W. Kath

Affiliation

Department of Engineering Sciences and Applied Mathematics

Northwestern University

Evanston, IL, USA

Publication Topics

Biography

William L. Kath photograph and biography not available at the time of publication.(Based on document published on 22 April 2010).

Publications

Citations

618

Publications by Year

19932014

Co-Authors:

Show All Co-Authors (49)

Author's Published Works

Showing 1-25 of 2,745 resultsfor "Index Terms":Uncertainty Quantification

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Visualizing Flow of Uncertainty through Analytical Processes

Yingcai Wu;Guo-Xun Yuan;Kwan-Liu Ma

IEEE Transactions on Visualization and Computer Graphics

Year: 2012 | Volume: 18, Issue: 12 | Journal Article |

Cited by: Papers (41)

Visualizing Flow of Uncertainty through Analytical Processes

Yingcai Wu;Guo-Xun Yuan;Kwan-Liu Ma

IEEE Transactions on Visualization and Computer Graphics

Year: 2012 | Volume: 18, Issue: 12 | Journal Article |

Efficient Shape Uncertainty Quantification for the TESLA Cavity

David Ebert;Anna Ziegler;Jürgen Dölz;Sebastian Schöps

2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC)

Year: 2024 | Conference Paper |

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Efficient Shape Uncertainty Quantification for the TESLA Cavity

David Ebert;Anna Ziegler;Jürgen Dölz;Sebastian Schöps

2024 IEEE 21st Biennial Conference on Electromagnetic Field Computation (CEFC)

Year: 2024 | Conference Paper |

GraphCast-Qtf: An improved weather prediction model based on uncertainty quantification methods

Lang Zheng;Ruxue Xing;Yaojun Wang

2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)

Year: 2024 | Conference Paper |

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GraphCast-Qtf: An improved weather prediction model based on uncertainty quantification methods

Lang Zheng;Ruxue Xing;Yaojun Wang

2024 12th International Conference on Agro-Geoinformatics (Agro-Geoinformatics)

Year: 2024 | Conference Paper |

Uncertainty Quantification for Branch-Current State Estimation in Power Distribution Systems

Florian Thorsten Lutz Strobel;Davood Babazadeh;Simon Stock;Christian Becker

2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)

Year: 2024 | Conference Paper |

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Uncertainty Quantification for Branch-Current State Estimation in Power Distribution Systems

Florian Thorsten Lutz Strobel;Davood Babazadeh;Simon Stock;Christian Becker

2024 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)

Year: 2024 | Conference Paper |

Propagation of uncertainty in systems with both probabilistic and possibilistic inputs

Thomas Whalen

2014 IEEE Conference on Norbert Wiener in the 21st Century (21CW)

Year: 2014 | Conference Paper |

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Propagation of uncertainty in systems with both probabilistic and possibilistic inputs

Thomas Whalen

2014 IEEE Conference on Norbert Wiener in the 21st Century (21CW)

Year: 2014 | Conference Paper |

Joint Segmentation and Uncertainty Estimation of Ventricular Structures from Cardiac MRI using a Bayesian CondenseUNet

S. M. Kamrul Hasan;Cristian A. Linte

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Year: 2022 | Conference Paper |

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Joint Segmentation and Uncertainty Estimation of Ventricular Structures from Cardiac MRI using a Bayesian CondenseUNet

S. M. Kamrul Hasan;Cristian A. Linte

2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

Year: 2022 | Conference Paper |

A quantitative analysis method for model uncertainty based on Verification, Validation, and Uncertainty Quantification

Hui Tang;Lizhi Wang;Lingfei You;Mengfei Yao;Xiaohong Wang

2023 10th International Conference on Dependable Systems and Their Applications (DSA)

Year: 2023 | Conference Paper |

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A quantitative analysis method for model uncertainty based on Verification, Validation, and Uncertainty Quantification

Hui Tang;Lizhi Wang;Lingfei You;Mengfei Yao;Xiaohong Wang

2023 10th International Conference on Dependable Systems and Their Applications (DSA)

Year: 2023 | Conference Paper |

Review of Uncertainty Quantification of Measurement and Computational Modeling in EMC Part I: Measurement Uncertainty

Carlo F. M. Carobbi;Sébastien Lalléchère;Luk R. Arnaut

IEEE Transactions on Electromagnetic Compatibility

Year: 2019 | Volume: 61, Issue: 6 | Journal Article |

Cited by: Papers (26)

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Review of Uncertainty Quantification of Measurement and Computational Modeling in EMC Part I: Measurement Uncertainty

Carlo F. M. Carobbi;Sébastien Lalléchère;Luk R. Arnaut

IEEE Transactions on Electromagnetic Compatibility

Year: 2019 | Volume: 61, Issue: 6 | Journal Article |

An Uncertainty Quantification Method Based on Generalized Interval

Youmin Hu;Fengyun Xie;Bo Wu;Yan Wang

2013 12th Mexican International Conference on Artificial Intelligence

Year: 2013 | Conference Paper |

Cited by: Papers (2)

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An Uncertainty Quantification Method Based on Generalized Interval

Youmin Hu;Fengyun Xie;Bo Wu;Yan Wang

2013 12th Mexican International Conference on Artificial Intelligence

Year: 2013 | Conference Paper |

Uncertainty Quantification in Deep Learning Context: Application to Insurance

Mouad Ablad;Bouchra Frikh;Brahim Ouhbi

2020 6th IEEE Congress on Information Science and Technology (CiSt)

Year: 2020 | Conference Paper |

Cited by: Papers (1)

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Uncertainty Quantification in Deep Learning Context: Application to Insurance

Mouad Ablad;Bouchra Frikh;Brahim Ouhbi

2020 6th IEEE Congress on Information Science and Technology (CiSt)

Year: 2020 | Conference Paper |

Uncertainty Quantification in Neural Networks Using Stochastic Differential Equations

Geng Yuan;Hiroaki Mukaidani;Tadashi Shima

2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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Uncertainty Quantification in Neural Networks Using Stochastic Differential Equations

Geng Yuan;Hiroaki Mukaidani;Tadashi Shima

2023 62nd Annual Conference of the Society of Instrument and Control Engineers (SICE)

Year: 2023 | Conference Paper |

An Uncertainty Network Working Mechanism Analysis Method based on Local Interpretable Model-agnostic Explanations

Zhonghao Cheng;Yinxiao Miao;Xiujian Zhang

2022 China Automation Congress (CAC)

Year: 2022 | Conference Paper |

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An Uncertainty Network Working Mechanism Analysis Method based on Local Interpretable Model-agnostic Explanations

Zhonghao Cheng;Yinxiao Miao;Xiujian Zhang

2022 China Automation Congress (CAC)

Year: 2022 | Conference Paper |

A Two-Phase Monte Carlo Simulation/Non-Intrusive Polynomial Chaos (MSC/NIPC) Method for Quantification of Margins and Mixed Uncertainties (QMMU) in Flutter Analysis

Zhengwen Hu;Baoqiang Zhang;Jing Yang

IEEE Access

Year: 2020 | Volume: 8 | Journal Article |

Cited by: Papers (2)

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A Two-Phase Monte Carlo Simulation/Non-Intrusive Polynomial Chaos (MSC/NIPC) Method for Quantification of Margins and Mixed Uncertainties (QMMU) in Flutter Analysis

Zhengwen Hu;Baoqiang Zhang;Jing Yang

IEEE Access

Year: 2020 | Volume: 8 | Journal Article |

Uncertainty Quantification of Cuffless Blood Pressure with Deep Evidential Regression Model

Zhan Shen;Shuaiting Yao;Yifan Chen;Xiaorong Ding

2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Year: 2024 | Conference Paper |

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Uncertainty Quantification of Cuffless Blood Pressure with Deep Evidential Regression Model

Zhan Shen;Shuaiting Yao;Yifan Chen;Xiaorong Ding

2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)

Year: 2024 | Conference Paper |

A Statistical Framework for Visualization of Positional Uncertainty in Deep Brain Stimulation Electrodes

Tushar M. Athawale;Kara A. Johnson;Chris R. Butson;Chris R. Johnson

2019 IEEE Workshop on Visual Analytics in Healthcare (VAHC)

Year: 2019 | Conference Paper |

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A Statistical Framework for Visualization of Positional Uncertainty in Deep Brain Stimulation Electrodes

Tushar M. Athawale;Kara A. Johnson;Chris R. Butson;Chris R. Johnson

2019 IEEE Workshop on Visual Analytics in Healthcare (VAHC)

Year: 2019 | Conference Paper |

Uncertainty Quantification in Linear Interpolation for Isosurface Extraction

Tushar Athawale;Alireza Entezari

IEEE Transactions on Visualization and Computer Graphics

Year: 2013 | Volume: 19, Issue: 12 | Journal Article |

Cited by: Papers (43)

Uncertainty Quantification in Linear Interpolation for Isosurface Extraction

Tushar Athawale;Alireza Entezari

IEEE Transactions on Visualization and Computer Graphics

Year: 2013 | Volume: 19, Issue: 12 | Journal Article |

Propagation of parameter uncertainty based on evidence theory

Junming Hu;Fayuan Wei;Renwei Ge;Tianxi Liang

2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

Year: 2011 | Conference Paper |

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Propagation of parameter uncertainty based on evidence theory

Junming Hu;Fayuan Wei;Renwei Ge;Tianxi Liang

2011 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

Year: 2011 | Conference Paper |

Uncertainty Quantification of LSTM Model for SoC Estimation against Aleatoric and Epistemic Uncertainties

Anbumalar Pandian;Sutha Subbian;Pappa Natarajan;Seevagan Senthilkumar Deepa

2024 Control Instrumentation System Conference (CISCON)

Year: 2024 | Conference Paper |

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Uncertainty Quantification of LSTM Model for SoC Estimation against Aleatoric and Epistemic Uncertainties

Anbumalar Pandian;Sutha Subbian;Pappa Natarajan;Seevagan Senthilkumar Deepa

2024 Control Instrumentation System Conference (CISCON)

Year: 2024 | Conference Paper |

Design of a simulink model for uncertainty quantification of concentration of contaminant transport through ground water

Debanshee Datta;D. Datta

2011 International Conference on Image Information Processing

Year: 2011 | Conference Paper |

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Design of a simulink model for uncertainty quantification of concentration of contaminant transport through ground water

Debanshee Datta;D. Datta

2011 International Conference on Image Information Processing

Year: 2011 | Conference Paper |

Monte Carlo based stochastic finite element model for uncertainty quantification in flip chip BGA electronic packaging

Liu Chu;Jiajia Shi;Robin Braun

2021 22nd International Conference on Electronic Packaging Technology (ICEPT)

Year: 2021 | Conference Paper |

Cited by: Papers (1)

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Monte Carlo based stochastic finite element model for uncertainty quantification in flip chip BGA electronic packaging

Liu Chu;Jiajia Shi;Robin Braun

2021 22nd International Conference on Electronic Packaging Technology (ICEPT)

Year: 2021 | Conference Paper |

Multilevel Monte Carlo FDTD Method for Uncertainty Quantification

Xiaojie Zhu;Luca Di Rienzo;Xikui Ma;Lorenzo Codecasa

IEEE Antennas and Wireless Propagation Letters

Year: 2022 | Volume: 21, Issue: 10 | Journal Article |

Cited by: Papers (5)

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Multilevel Monte Carlo FDTD Method for Uncertainty Quantification

Xiaojie Zhu;Luca Di Rienzo;Xikui Ma;Lorenzo Codecasa

IEEE Antennas and Wireless Propagation Letters

Year: 2022 | Volume: 21, Issue: 10 | Journal Article |

Geomagnetic Disturbance Uncertainty Quantification Modeling: An Electromagnetic Transient and Steady-State Simulation based Approach

Arturo Bretas;Kiana Brown;Varoozhan Hartoonian;Jonathan Snodgrass

2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)

Year: 2023 | Conference Paper |

Cited by: Papers (1)

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Geomagnetic Disturbance Uncertainty Quantification Modeling: An Electromagnetic Transient and Steady-State Simulation based Approach

Arturo Bretas;Kiana Brown;Varoozhan Hartoonian;Jonathan Snodgrass

2023 IEEE PES Innovative Smart Grid Technologies Europe (ISGT EUROPE)

Year: 2023 | Conference Paper |

Quantifying Uncertainty in Real Time with Split BiRNN for Radar Human Activity Recognition

Lorin Werthen-Brabants;Geethika Bhavanasi;Ivo Couckuyt;Tom Dhaene;Dirk Deschrijver

2022 19th European Radar Conference (EuRAD)

Year: 2022 | Conference Paper |

Cited by: Papers (5)

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Quantifying Uncertainty in Real Time with Split BiRNN for Radar Human Activity Recognition

Lorin Werthen-Brabants;Geethika Bhavanasi;Ivo Couckuyt;Tom Dhaene;Dirk Deschrijver

2022 19th European Radar Conference (EuRAD)

Year: 2022 | Conference Paper |

Application of QMU to structural analysis considering uncertainty

Chao-Yang Xie;Hong-Zhong Huang;Fa-Yuan Wei

2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

Year: 2012 | Conference Paper |

Cited by: Papers (2)

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Application of QMU to structural analysis considering uncertainty

Chao-Yang Xie;Hong-Zhong Huang;Fa-Yuan Wei

2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering

Year: 2012 | Conference Paper |

A Literature Survey on Estimating Uncertainty in Deep Learning Models: Ensuring safety in Intelligent Systems

Soja Salim;Jayasudha JS

2023 2nd International Conference on Computational Systems and Communication (ICCSC)

Year: 2023 | Conference Paper |

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A Literature Survey on Estimating Uncertainty in Deep Learning Models: Ensuring safety in Intelligent Systems

Soja Salim;Jayasudha JS

2023 2nd International Conference on Computational Systems and Communication (ICCSC)

Year: 2023 | Conference Paper |

MIT Libraries

MIT Libraries

William L. Kath

William L. Kath

Affiliation

Publication Topics

Biography

Showing 1-25 of 2,745 resultsfor "Index Terms":Uncertainty Quantification

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