Scibib

IEEE Conference on Visual Analytics Science and Technology (VAST Challenge 2017 MC3), 2017
Vast Challenge

U. Schlegel, E. Cakmak, H. Arnout M. El-Assady D. Oelke D. A. Keim

Towards Visual Debugging for Multi-Target Time Series Classification

ACM Conference on Intelligent User Interfaces (IUI), 2020

U. Schlegel, E. Cakmak, D. A. Keim

ModelSpeX: Model Specification Using Explainable Artificial Intelligence Methods

International Workshop on Machine Learning in Visualisation for Big Data (MLVis) @ EuroVIS, 2020

U. Schlegel, W. Jentner, J. Buchmüller E. Cakmak G. Castiglia R. Canepa S. Petralli L. Oneto D. A. Keim D. Anguita

Visual Analytics for Supporting Conflict Resolution in Large Railway Networks

2019 INNS Big Data and Deep Learning (INNSBDDL 2019), 2019

U. Schlegel, H. Arnout, M. El-Assady D. Oelke D. A. Keim

Towards a Rigorous Evaluation of XAI Methods on Time Series

Workshop on Interpreting and Explaining Visual Artificial Intelligence Models @ ICCV, 2019

U. Schlegel, E. Cakmak, J. Buchmüller D. A. Keim

G-Rap: interactive text synthesis using recurrent neural network suggestions

European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (ESANN), 2018