A
Anna Vilanova
Researcher at Delft University of Technology
Publications - 202
Citations - 4799
Anna Vilanova is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Visualization & Diffusion MRI. The author has an hindex of 33, co-authored 202 publications receiving 4136 citations. Previous affiliations of Anna Vilanova include University of Winchester & University of Innsbruck.
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Journal ArticleDOI
Approximated and User Steerable tSNE for Progressive Visual Analytics
Nicola Pezzotti,Boudewijn P. F. Lelieveldt,Laurens van der Maaten,Thomas Höllt,Elmar Eisemann,Anna Vilanova +5 more
TL;DR: In this article, a controllable t-Distributed Stochastic Neighbor Embedding (tSNE) is introduced to enable interactive data exploration, where the user can decide on local refinements and steer the approximation level during the analysis.
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Approximated and User Steerable tSNE for Progressive Visual Analytics
Nicola Pezzotti,Boudewijn P. F. Lelieveldt,Laurens van der Maaten,Thomas Höllt,Elmar Eisemann,Anna Vilanova +5 more
TL;DR: A controllable tSNE approximation (A-tSNE), which trades off speed and accuracy, to enable interactive data exploration and offers real-time visualization techniques, including a density-based solution and a Magic Lens to inspect the degree of approximation.
Proceedings ArticleDOI
Evaluation of fiber clustering methods for diffusion tensor imaging
TL;DR: This work proposes a framework to validate clustering methods for white-matter fibers using a new measure to assess the difference between the ground truth and the clusterings, and evaluated different clustering algorithms including shared nearest neighbor clustering, which has not been used before for this purpose.
Journal ArticleDOI
Visual analysis of mass cytometry data by hierarchical stochastic neighbour embedding reveals rare cell types
Vincent van Unen,Thomas Höllt,Thomas Höllt,Nicola Pezzotti,Na Li,Marcel J. T. Reinders,Elmar Eisemann,Frits Koning,Anna Vilanova,Boudewijn P. F. Lelieveldt,Boudewijn P. F. Lelieveldt +10 more
TL;DR: Hierarchical Stochastic Neighbor Embedding (HSNE) is introduced, a method for analysis of mass cytometry data that can handle very large datasets and allows their intuitive and hierarchical exploration.
Journal ArticleDOI
DeepEyes: Progressive Visual Analytics for Designing Deep Neural Networks
Nicola Pezzotti,Thomas Höllt,Jan C. van Gemert,Boudewijn P. F. Lelieveldt,Elmar Eisemann,Anna Vilanova +5 more
TL;DR: This paper presents DeepEyes, a Progressive Visual Analytics system that supports the design of neural networks during training, and presents novel visualizations, supporting the identification of layers that learned a stable set of patterns and, therefore, are of interest for a detailed analysis.