Search Results - "Cech, Tim"

A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations by Atzberger, Daniel, Cech, Tim, Scheibel, Willy, Dollner, Jurgen, Behrisch, Michael, Schreck, Tobias

“…The semantic similarity between documents of a text corpus can be visualized using map-like metaphors based on twodimensional scatterplot layouts. These…”
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Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization by Atzberger, Daniel, Cech, Tim, Trapp, Matthias, Richter, Rico, Scheibel, Willy, Dollner, Jurgen, Schreck, Tobias

“…Topic models are a class of unsupervised learning algorithms for detecting the semantic structure within a text corpus. Together with a subsequent…”
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A Large-Scale Sensitivity Analysis on Latent Embeddings and Dimensionality Reductions for Text Spatializations by Atzberger, Daniel, Cech, Tim, Scheibel, Willy, Döllner, Jürgen, Behrisch, Michael, Schreck, Tobias

“…The semantic similarity between documents of a text corpus can be visualized using map-like metaphors based on two-dimensional scatterplot layouts. These…”
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Standardness Fogs Meaning: A Position Regarding the Informed Usage of Standard Datasets by Cech, Tim, Wegen, Ole, Atzberger, Daniel, Richter, Rico, Scheibel, Willy, Döllner, Jürgen

“…Standard datasets are frequently used to train and evaluate Machine Learning models. However, the assumed standardness of these datasets leads to a lack of…”
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Large-Scale Evaluation of Topic Models and Dimensionality Reduction Methods for 2D Text Spatialization by Atzberger, Daniel, Cech, Tim, Scheibel, Willy, Trapp, Matthias, Richter, Rico, Döllner, Jürgen, Schreck, Tobias

“…Topic models are a class of unsupervised learning algorithms for detecting the semantic structure within a text corpus. Together with a subsequent…”
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CodeCV: Mining Expertise of GitHub Users from Coding Activities by Atzberger, Daniel, Scordialo, Nico, Cech, Tim, Scheibel, Willy, Trapp, Matthias, Dollner, Jurgen

“…The number of software projects developed collaboratively on social coding platforms is steadily increasing. One of the motivations for developers to…”
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