Juliane Müller

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 33

Top Topics

Computationally Expensive

Global Optimization

Motion Correction

Top Venues

J. Glob. Optim.

INFORMS J. Comput.

Publications

Jangho Park, Juliane Müller, Bhavna Arora, Boris Faybishenko, Gilberto Zonta Pastorello, Charuleka Varadharajan, Reetik Sahu, Deborah A. Agarwal
Long-term missing value imputation for time series data using deep neural networks. Neural Comput. Appl. 35 (12) (2023)
Luka Grbcic, Juliane Müller, Wibe Albert de Jong
Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies. CoRR (2023)
Jangho Park, Juliane Müller, Bhavna Arora, Boris Faybishenko, Gilberto Zonta Pastorello, Charuleka Varadharajan, Reetik Sahu, Deborah A. Agarwal
Long-Term Missing Value Imputation for Time Series Data Using Deep Neural Networks. CoRR (2022)
Juliane Müller, Wim Lavrijsen, Costin Iancu, Wibe de Jong
Accelerating Noisy VQE Optimization with Gaussian Processes. QCE (2022)
Yahya Moshaei-Nezhad, Martin Oelschlägel, Juliane Müller, Matthias Kirsch, Ronald Tetzlaff
Pulse and Breathing Motion Artifacts Correction of Intraoperative Thermal Imaging in Neurosurgery. ISCAS (2022)
Yahya Moshaei-Nezhad, Juliane Müller, Martin Oelschlägel, Matthias Kirsch, Ronald Tetzlaff
Registration of IRT and visible light images in neurosurgery: analysis and comparison of automatic intensity-based registration approaches. Int. J. Comput. Assist. Radiol. Surg. 17 (4) (2022)
Yahya Moshaei-Nezhad, Juliane Müller, Martin Oelschlägel, Matthias Kirsch, Ronald Tetzlaff
Registration and Fusion of Visible Light and IRT Images in Neurosurgery. BioCAS (2021)
Laura Garrison, Juliane Müller, Stefanie Schreiber, Steffen Oeltze-Jafra, Helwig Hauser, Stefan Bruckner
DimLift: Interactive Hierarchical Data Exploration Through Dimensional Bundling. IEEE Trans. Vis. Comput. Graph. 27 (6) (2021)
Juliane Müller, Jangho Park, Reetik Sahu, Charuleka Varadharajan, Bhavna Arora, Boris Faybishenko, Deborah A. Agarwal
Surrogate optimization of deep neural networks for groundwater predictions. J. Glob. Optim. 81 (1) (2021)
Luca Pion-Tonachini, Kristofer E. Bouchard, Héctor García Martín, Sean Peisert, W. Bradley Holtz, Anil Aswani, Dipankar Dwivedi, Haruko M. Wainwright, Ghanshyam Pilania, Benjamin Nachman, Babetta L. Marrone, Nicola Falco, Prabhat, Daniel B. Arnold, Alejandro Wolf-Yadlin, Sarah Powers, Sharlee Climer, Quinn Jackson, Ty Carlson, Michael Sohn, Petrus H. Zwart, Neeraj Kumar, Amy Justice, Claire J. Tomlin, Daniel A. Jacobson, Gos Micklem, Georgios V. Gkoutos, Peter J. Bickel, Jean-Baptiste Cazier, Juliane Müller, Bobbie-Jo Webb-Robertson, Rick Stevens, Mark Anderson, Kenneth Kreutz-Delgado, Michael W. Mahoney, James B. Brown
Learning from learning machines: a new generation of AI technology to meet the needs of science. CoRR (2021)
Juliane Müller, Mario A. Cypko, Alexander Oeser, Matthaeus Stoehr, Veit Zebralla, Stefanie Schreiber, Susanne Wiegand, Andreas Dietz, Steffen Oeltze-Jafra
Visual Assistance in Clinical Decision Support. EuroVis (Dirk Bartz Prize) (2021)
Wenjing Wang, Mohan Krishnamoorthy, Juliane Müller, Stephen Mrenna, Holger Schulz, Xiangyang Ju, Sven Leyffer, Zachary Marshall
BROOD: Bilevel and Robust Optimization and Outlier Detection for Efficient Tuning of High-Energy Physics Event Generators. CoRR (2021)
Juliane Müller, Boris Faybishenko, Deborah A. Agarwal, Stephen Bailey, Chongya Jiang, Youngryel Ryu, Craig Tull, Lavanya Ramakrishnan
Assessing data change in scientific datasets. Concurr. Comput. Pract. Exp. 33 (16) (2021)
Anthony P. Austin, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Müller, Holger Schulz
Practical algorithms for multivariate rational approximation. Comput. Phys. Commun. 261 (2021)
Juliane Müller, Laura Garrison, Philipp Ulbrich, Stefanie Schreiber, Stefan Bruckner, Helwig Hauser, Steffen Oeltze-Jafra
Integrated Dual Analysis of Quantitative and Qualitative High-Dimensional Data. IEEE Trans. Vis. Comput. Graph. 27 (6) (2021)
Juliane Müller, Nico Hoffmann, Martin Oelschlägel, Christian Schnabel, Gerald Steiner, Edmund Koch, Stephan B. Sobottka, Gabriele Schackert, Matthias Kirsch
Intraoperative thermographic perfusion mapping in neurosurgery using regularized semiparametric regression (Conference Presentation). Medical Imaging: Image-Guided Procedures (2020)
Juliane Müller, Axel Schulte
Concept of an Adaptive Cockpit to Maintain the Workflow of the Cockpit Crew. IHSI (2020)
Nastasja Steinhauer, Marc Hörbrugger, Andreas Dominik Braun, Thomas Tüting, Steffen Oeltze-Jafra, Juliane Müller
Comprehensive Visualization of Longitudinal Patient Data for the Dermatological Oncological Tumor Board. EuroVis (Short Papers) (2020)
Juliane Müller, Matthaeus Stoehr, Alexander Oeser, Jan Gaebel, Marc Streit, Andreas Dietz, Steffen Oeltze-Jafra
A visual approach to explainable computerized clinical decision support. Comput. Graph. 91 (2020)
Yahya Moshaei-Nezhad, Juliane Müller, Christian Schnabel, Matthias Kirsch, Ronald Tetzlaff
A New CNN Occlusion Masking Method for IRT Imaging in Neurosurgery. ECCTD (2020)
Wim Lavrijsen, Ana Tudor, Juliane Müller, Costin Iancu, Wibe de Jong
Classical Optimizers for Noisy Intermediate-Scale Quantum Devices. QCE (2020)
Fang Chen, Jan Müller, Jens Müller, Juliane Müller, Matthias Kirsch, Ronald Tetzlaff
Motion Correction in Multimodal Intraoperative Imaging. IEEE Trans. Biomed. Circuits Syst. 14 (4) (2020)
Juliane Müller
An algorithmic framework for the optimization of computationally expensive bi-fidelity black-box problems. INFOR Inf. Syst. Oper. Res. 58 (2) (2020)
Anthony P. Austin, Mohan Krishnamoorthy, Sven Leyffer, Stephen Mrenna, Juliane Müller, Holger Schulz
Multivariate Rational Approximation. CoRR (2019)
Juliane Müller, Veit Zebralla, Susanne Wiegand, Steffen Oeltze-Jafra
Interactive Visual Analysis of Patient-Reported Outcomes for Improved Cancer Aftercare. EuroVA@EuroVis (2019)
Juliane Müller, Marcus Day
Surrogate Optimization of Computationally Expensive Black-Box Problems with Hidden Constraints. INFORMS J. Comput. 31 (4) (2019)
Fang Chen, Jan Müller, Jens Müller, Juliane Müller, Matthias Kirsch, Ronald Tetzlaff
Motion Correction for Thermography using Co-registered Visual-Light Images. BioCAS (2019)
Juliane Müller, Jangho Park, Reetik Sahu, Charuleka Varadharajan, Bhavna Arora, Boris Faybishenko, Deborah A. Agarwal
Surrogate Optimization of Deep Neural Networks for Groundwater Predictions. CoRR (2019)
Jan Müller, Jens Müller, Fang Chen, Ronald Tetzlaff, Juliane Müller, Elisa Bohl, Matthias Kirsch, Christian Schnabel
Registration and Fusion of Thermographic and Visual-Light Images in Neurosurgery. IEEE Trans. Biomed. Circuits Syst. 12 (6) (2018)
Timur Takhtaganov, Juliane Müller
Adaptive Gaussian process surrogates for Bayesian inference. CoRR (2018)
Erich Lohrmann, Zarija Lukic, Dmitriy Morozov, Juliane Müller
Programmable In Situ System for Iterative Workflows. JSSPP (2017)
Juliane Müller
SOCEMO: Surrogate Optimization of Computationally Expensive Multiobjective Problems. INFORMS J. Comput. 29 (4) (2017)
Juliane Müller, Joshua D. Woodbury
GOSAC: global optimization with surrogate approximation of constraints. J. Glob. Optim. 69 (1) (2017)
Juliane Müller, Tipaluck Krityakierne, Christine A. Shoemaker
SO-MODS: Optimization for high dimensional computationally expensive multi-modal functions with surrogate search. IEEE Congress on Evolutionary Computation (2014)
Jelena Prsa, Juliane Müller, Franz Irlinger, Tim C. Lueth
Evaluation of the infill algorithm for trajectory planning of pointed ends for droplet-generating 3D printers. ROBIO (2014)
Juliane Müller, Christine A. Shoemaker, Robert Piché
SO-I: a surrogate model algorithm for expensive nonlinear integer programming problems including global optimization applications. J. Glob. Optim. 59 (4) (2014)
Juliane Müller, Christine A. Shoemaker
Influence of ensemble surrogate models and sampling strategy on the solution quality of algorithms for computationally expensive black-box global optimization problems. J. Glob. Optim. 60 (2) (2014)
Juliane Müller, Juho Kanniainen, Robert Piché
Calibration of GARCH models using concurrent accelerated random search. Appl. Math. Comput. 221 (2013)
Juliane Müller, Christine A. Shoemaker, Robert Piché
SO-MI: A surrogate model algorithm for computationally expensive nonlinear mixed-integer black-box global optimization problems. Comput. Oper. Res. 40 (5) (2013)
Juliane Müller, Robert Piché
Mixture surrogate models based on Dempster-Shafer theory for global optimization problems. J. Glob. Optim. 51 (1) (2011)
Juliane Müller
Approximative solutions to the bicriterion Vehicle Routing Problem with Time Windows. Eur. J. Oper. Res. 202 (1) (2010)
Juliane Müller, Rickmann Michel, Konrad Miegel
Entwicklung des Bewässerungsbedarfs von 1990 bis 2055 am Beispiel der Kartoffel, berechnet aufgrund gemessener und prognostischer Wetterdaten. GIL Jahrestagung (2009)