3 papers
cs.HC2019
SAX Navigator: Time Series Exploration through Hierarchical Clustering
Nicholas Ruta, Naoko Sawada, Katy McKeough +2
Comparing many long time series is challenging to do by hand. Clustering time series enables data analysts to discover relevance between and anomalies among multiple time series. H…
cs.IR2018
Visual Pattern-Driven Exploration of Big Data
Michael Behrisch, Robert Krueger, Fritz Lekschas +3
Pattern extraction algorithms are enabling insights into the ever-growing amount of today's datasets by translating reoccurring data properties into compact representations. Yet, a…
cs.CL2018
Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models
Hendrik Strobelt, Sebastian Gehrmann, Michael Behrisch +3
Neural Sequence-to-Sequence models have proven to be accurate and robust for many sequence prediction tasks, and have become the standard approach for automatic translation of text…