David Sessler
David Sessler
Student MSc. Visual Computing, TU Darmstadt
Verified email at gris.informatik.tu-darmstadt.de
TitleCited byYear
A visual-interactive system for prostate cancer cohort analysis
J Bernard, D Sessler, T May, T Schlomm, D Pehrke, J Kohlhammer
IEEE computer graphics and applications 35 (3), 44-55, 2015
222015
A visual active learning system for the assessment of patient well-being in prostate cancer research
J Bernard, D Sessler, A Bannach, T May, J Kohlhammer
Proceedings of the 2015 Workshop on Visual Analytics in Healthcare, 1-8, 2015
162015
A visual-interactive system for prostate cancer stratifications
J Bernard, D Sessler, T May, T Schlomm, D Pehrke, J Kohlhammer
VIS 2014 Workshop on Visualization of Electronic Health Records, 2014
82014
User-based visual-interactive similarity definition for mixed data objects: concept and first implementation
J Bernard, D Sessler, T Ruppert
Václav Skala-UNION Agency, 2014
72014
Visual-interactive similarity search for complex objects by example of soccer player analysis
J Bernard, C Ritter, D Sessler, M Zeppelzauer, J Kohlhammer, D Fellner
arXiv preprint arXiv:1703.03385, 2017
62017
Using dashboard networks to visualize multiple patient histories: a design study on post-operative prostate cancer
J Bernard, D Sessler, J Kohlhammer, RA Ruddle
IEEE transactions on visualization and computer graphics 25 (3), 1615-1628, 2018
42018
Visual-interactive exploration of relations between time-oriented data and multivariate data
J Bernard, D Sessler, M Steiger, M Spott, J Kohlhammer
Proceedings of the EuroVis Workshop on Visual Analytics, 49-53, 2016
32016
Towards a user-defined visual-interactive definition of similarity functions for mixed data
J Bernard, M Hutter, D Sessler, T Schreck, M Behrisch, J Kohlhamme
2014 IEEE Conference on Visual Analytics Science and Technology (VAST), 227-228, 2014
32014
Adopting mental similarity notions of categorical data objects to algorithmic similarity functions
D Sessler, J Bernard, A Kuijper, J Kohlhammer
Vision, Modelling and Visualization (VMV), Poster, 2014
12014
Visual-Interactive Identification of Anomalous IP-Block Behavior Using Geo-IP Data
A Ulmer, M Schufrin, D Sessler, J Kohlhammer
2018 IEEE Symposium on Visualization for Cyber Security (VizSec), 1-8, 2018
2018
Towards Combining Attribute-based and Time Series-based Visual Querying.
D Sessler, M Spott, D Nauck, W Harmer, J Kohlhammer, J Bernard
EuroVis (Posters), 73-75, 2016
2016
User-centered Interactive Similarity Definition for Complex Data Objects
D Sessler
2014
Towards Bridging the Gap Between Visual Cybersecurity Analytics and Non-Experts by Means of User Experience Design
M Schufrin, A Ulmer, D Sessler, J Kohlhammer
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Articles 1–13