Scibib

IEEE Transactions on Big Data, DOI:10.1109/TBDATA.2018.2877350, 2018
Data Visualization Ensemble Learning Classification Explanation

B. Schneider,

Visual Integration of Model and Data Spaces in Classification Problems

2023

B. Schneider, D. A. Keim, M. El-Assady,

DataShiftExplorer: Visualizing and Comparing Change in Multidimensional Data for Supervised Learning

11th International Conference on Information Visualization Theory and Applications (IVAPP 2020, Short-paper, to appear), 2020

B. Schneider, D. Jäckle, F. Stoffel, A. Diehl, J. Fuchs, D. A. Keim

Visual Integration of Data and Model Space in Ensemble Learning

Symposium on Visualization in Data Science (VDS) at IEEE VIS 2017 (BEST PAPER award), 2017

B. Schneider, S. Mittelstädt, D. A. Keim,

When Individual Data Points Matter: Interactively Analysing Classification Landscapes

Eurographics Conference on Visualization (Poster paper), 2016

B. Schneider, C. Acevedo, J. Buchmüller, F. Fischer, D. A. Keim,

Visual Analytics for Inspecting the Evolution of a Graph over Time: Pattern Discovery in a Communication Network

IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2015 MC2), 2015