1 code implementation • 1 Jun 2023 • Alister Machado, Alexandru Telea, Michael Behrisch
Projections, or dimensionality reduction methods, are techniques of choice for the visual exploration of high-dimensional data.
no code implementations • 30 Apr 2021 • Yuncong Yu, Dylan Kruyff, Tim Becker, Michael Behrisch
Multi-track time series data are generated on an unprecedented scale due to increased sensors and data storage.
no code implementations • 29 Jul 2019 • Frederik L. Dennig, Tom Polk, Zudi Lin, Tobias Schreck, Hanspeter Pfister, Michael Behrisch
The detection of interesting patterns in large high-dimensional datasets is difficult because of their dimensionality and pattern complexity.
no code implementations • WS 2018 • Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alex Rush, er
Neural attention-based sequence-to-sequence models (seq2seq) (Sutskever et al., 2014; Bahdanau et al., 2014) have proven to be accurate and robust for many sequence prediction tasks.
1 code implementation • 25 Apr 2018 • Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch, Adam Perer, Hanspeter Pfister, Alexander M. Rush
In this work, we present a visual analysis tool that allows interaction with a trained sequence-to-sequence model through each stage of the translation process.