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Daniel Jönsson
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2020 – today
- 2024
- [i4]Mattias Tiger, Daniel Jakobsson, Anders Ynnerman, Fredrik Heintz, Daniel Jönsson:
Exploratory Visual Analysis for Increasing Data Readiness in Artificial Intelligence Projects. CoRR abs/2409.03805 (2024) - 2023
- [c14]Alex Knutsson, Jakob Unnebäck, Daniel Jönsson, Gabriel Eilertsen:
CDF-Based Importance Sampling and Visualization for Neural Network Training. VCBM 2023: 51-55 - [c13]Alex Bäuerle, Christian van Onzenoodt, Daniel Jönsson, Timo Ropinski:
Semantic Hierarchical Exploration of Large Image Datasets. EuroVis (Short Papers) 2023: 103-107 - [e1]Claes Lundström, Daniel Jönsson, Ingrid Hotz, Martin Falk:
VCBM 2023: Eurographics Workshop on Visual Computing for Biology and Medicine, Norrköping, Sweden, September 20-22, 2023. Eurographics Association 2023, ISBN 978-3-03868-216-5 [contents] - 2022
- [j14]Alex Bäuerle, Christian van Onzenoodt, Simon der Kinderen, Jimmy Johansson Westberg, Daniel Jönsson, Timo Ropinski:
Where did my Lines go? Visualizing Missing Data in Parallel Coordinates. Comput. Graph. Forum 41(3): 235-246 (2022) - [j13]Daniel Jönsson, Joel Kronander, Jonas Unger, Thomas B. Schön, Magnus Wrenninge:
Direct Transmittance Estimation in Heterogeneous Participating Media Using Approximated Taylor Expansions. IEEE Trans. Vis. Comput. Graph. 28(7): 2602-2614 (2022) - [i3]Alex Bäuerle, Daniel Jönsson, Timo Ropinski:
Neural Activation Patterns (NAPs): Visual Explainability of Learned Concepts. CoRR abs/2206.10611 (2022) - 2021
- [j12]Kushan De Silva, Noel Mathews, Helena Teede, Andrew Forbes, Daniel Jönsson, Ryan T. Demmer, Joanne Enticott:
Clinical notes as prognostic markers of mortality associated with diabetes mellitus following critical care: A retrospective cohort analysis using machine learning and unstructured big data. Comput. Biol. Medicine 132: 104305 (2021) - 2020
- [j11]Daniel Jönsson, Albin Bergström, Camilla Forsell, Rozalyn Simon, Maria Engström, Susanna Walter, Anders Ynnerman, Ingrid Hotz:
VisualNeuro: A Hypothesis Formation and Reasoning Application for Multi-Variate Brain Cohort Study Data. Comput. Graph. Forum 39(6): 392-407 (2020) - [j10]Kushan De Silva, Daniel Jönsson, Ryan T. Demmer:
A combined strategy of feature selection and machine learning to identify predictors of prediabetes. J. Am. Medical Informatics Assoc. 27(3): 396-406 (2020) - [j9]Daniel Jönsson, Peter Steneteg, Erik Sundén, Rickard Englund, Sathish Kottravel, Martin Falk, Anders Ynnerman, Ingrid Hotz, Timo Ropinski:
Inviwo - A Visualization System with Usage Abstraction Levels. IEEE Trans. Vis. Comput. Graph. 26(11): 3241-3254 (2020) - [c12]Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman:
Classifying the Classifier: Dissecting the Weight Space of Neural Networks. ECAI 2020: 1119-1126 - [c11]Daniel Jönsson, Gabriel Eilertsen, Hezi Shi, Jianmin Zheng, Anders Ynnerman, Jonas Unger:
Visual Analysis of the Impact of Neural Network Hyper-Parameters. MLVis@Eurographics/EuroVis 2020: 13-17 - [i2]Gabriel Eilertsen, Daniel Jönsson, Timo Ropinski, Jonas Unger, Anders Ynnerman:
Classifying the classifier: dissecting the weight space of neural networks. CoRR abs/2002.05688 (2020)
2010 – 2019
- 2019
- [c10]Jesper Holmström, Daniel Jönsson, Filip Polbratt, Olav Nilsson, Linnea Lundström, Sebastian Ragnarsson, Anton Forsberg, Karl Andersson, Niklas Carlsson:
Do we read what we share?: analyzing the click dynamic of news articles shared on Twitter. ASONAM 2019: 420-425 - [c9]Daniel Jönsson, Albin Bergström, Camilla Forsell, Rozalyn Simon, Maria Engström, Anders Ynnerman, Ingrid Hotz:
A Visual Environment for Hypothesis Formation and Reasoning in Studies with fMRI and Multivariate Clinical Data. VCBM 2019: 57-68 - [d3]Peter Steneteg, Rickard Englund, Martin Falk, Daniel Jönsson, Erik Sundén, Anke Friederici, Jochen Jankowai, Albin Bergström, Dominik Engel, Sathish Kottravel, Robin Skånberg, Tino Weinkauf, Anders Ynnerman, Ingrid Hotz, Timo Ropinski:
Inviwo. Zenodo, 2019 - [d2]Peter Steneteg, Rickard Englund, Martin Falk, Daniel Jönsson, Erik Sundén, Anke Friederici, Jochen Jankowai, Albin Bergström, Dominik Engel, Sathish Kottravel, Robin Skånberg, Tino Weinkauf, Anders Ynnerman, Ingrid Hotz, Timo Ropinski:
Inviwo. Zenodo, 2019 - [d1]Peter Steneteg, Rickard Englund, Martin Falk, Daniel Jönsson, Erik Sundén, Anke Friederici, Jochen Jankowai, Albin Bergström, Dominik Engel, Sathish Kottravel, Robin Skånberg, Tino Weinkauf, Anders Ynnerman, Ingrid Hotz, Timo Ropinski:
Inviwo. Zenodo, 2019 - 2018
- [c8]Robin Skånberg, Mathieu Linares, Carolin König, Patrick Norman, Daniel Jönsson, Ingrid Hotz, Anders Ynnerman:
VIA-MD: Visual Interactive Analysis of Molecular Dynamics. MolVa@EuroVis 2018: 19-27 - [i1]Daniel Jönsson, Peter Steneteg, Erik Sundén, Rickard Englund, Sathish Kottravel, Martin Falk, Anders Ynnerman, Ingrid Hotz, Timo Ropinski:
Inviwo - A Visualization System with Usage Abstraction Levels. CoRR abs/1811.12517 (2018) - 2017
- [j8]Daniel Jönsson, Anders Ynnerman:
Correlated Photon Mapping for Interactive Global Illumination of Time-Varying Volumetric Data. IEEE Trans. Vis. Comput. Graph. 23(1): 901-910 (2017) - 2016
- [b1]Daniel Jönsson:
Enhancing Salient Features in Volumetric Data Using Illumination and Transfer Functions. Linköping University, Sweden, 2016 - [j7]Daniel Jönsson, Martin Falk, Anders Ynnerman:
Intuitive Exploration of Volumetric Data Using Dynamic Galleries. IEEE Trans. Vis. Comput. Graph. 22(1): 896-905 (2016) - 2015
- [c7]Erik Sundén, Peter Steneteg, Sathish Kottravel, Daniel Jönsson, Rickard Englund, Martin Falk, Timo Ropinski:
Inviwo - An extensible, multi-purpose visualization framework. SciVis 2015: 163-164 - 2014
- [j6]Daniel Jönsson, Erik Sundén, Anders Ynnerman, Timo Ropinski:
A Survey of Volumetric Illumination Techniques for Interactive Volume Rendering. Comput. Graph. Forum 33(1): 27-51 (2014) - [j5]Július Parulek, Daniel Jönsson, Timo Ropinski, Stefan Bruckner, Anders Ynnerman, Ivan Viola:
Continuous Levels-of-Detail and Visual Abstraction for Seamless Molecular Visualization. Comput. Graph. Forum 33(6): 276-287 (2014) - [j4]Tiago Etiene, Daniel Jönsson, Timo Ropinski, Carlos Eduardo Scheidegger, João Luiz Dihl Comba, Luis Gustavo Nonato, Robert M. Kirby, Anders Ynnerman, Cláudio T. Silva:
Verifying Volume Rendering Using Discretization Error Analysis. IEEE Trans. Vis. Comput. Graph. 20(1): 140-154 (2014) - [j3]Stefan Lindholm, Daniel Jönsson, Charles D. Hansen, Anders Ynnerman:
Boundary Aware Reconstruction of Scalar Fields. IEEE Trans. Vis. Comput. Graph. 20(12): 2447-2455 (2014) - [c6]Joel Kronander, Johan Dahlin, Daniel Jönsson, Manon Kok, Thomas B. Schön, Jonas Unger:
Real-time video based lighting using GPU raytracing. EUSIPCO 2014: 1627-1631 - [c5]Erik Sundén, Alexander Bock, Daniel Jönsson, Anders Ynnerman, Timo Ropinski:
Interaction techniques as a communication channel when presenting 3D visualizations. 3DVis@IEEE VIS 2014: 61-65 - 2013
- [c4]Neda Rostamzadeh, Daniel Jönsson, Timo Ropinski:
A Comparison of Volumetric Illumination Methods by Considering their Underlying Mathematical Models. SIGRAD 2013: 35-40 - [c3]Stefan Lindholm, Daniel Jönsson, Hans Knutsson, Anders Ynnerman:
Towards Data Centric Sampling for Volume Rendering. SIGRAD 2013: 55-60 - 2012
- [j2]Joel Kronander, Daniel Jönsson, Joakim Löw, Patric Ljung, Anders Ynnerman, Jonas Unger:
Efficient Visibility Encoding for Dynamic Illumination in Direct Volume Rendering. IEEE Trans. Vis. Comput. Graph. 18(3): 447-462 (2012) - [j1]Daniel Jönsson, Joel Kronander, Timo Ropinski, Anders Ynnerman:
Historygrams: Enabling Interactive Global Illumination in Direct Volume Rendering using Photon Mapping. IEEE Trans. Vis. Comput. Graph. 18(12): 2364-2371 (2012) - [c2]Daniel Jönsson, Per Ganestam, Michael C. Doggett, Anders Ynnerman, Timo Ropinski:
Explicit Cache Management for Volume Ray-Casting on Parallel Architectures. EGPGV@Eurographics 2012: 31-40 - [c1]Daniel Jönsson, Erik Sundén, Anders Ynnerman, Timo Ropinski:
Interactive Volume Rendering with Volumetric Illumination. Eurographics (State of the Art Reports) 2012: 53-74
Coauthor Index
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