DaRUS

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Subject: Computer and Information Science Deposit Date: 2021 Publication Year: 2021 Keyword Term: Visualization

1 to 3 of 3 Results

Data for: A Comparative Study of Visualizations for Multiple Time Series Dec 1, 2021 - Institut für Visualisierung und Interaktive Systeme Franke, Max; Knabben, Moritz; Lang, Julian; Koch, Steffen; Blascheck, Tanja, 2021, "Data for: A Comparative Study of Visualizations for Multiple Time Series", https://doi.org/10.18419/darus-2134, DaRUS, V1, UNF:6:jaMGOfSI5L/wPcnoJNKcaQ== [fileUNF] Study data of comparative study of visualizations for multiple time series including anonymized participant data from Prolific, data set generation scripts, source code for the study framework, and analysis scripts. This repository also serves as supplemental material for the pub...
Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" Oct 5, 2021 - PN 6-6 Tkachev, Gleb, 2021, "Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"", https://doi.org/10.18419/darus-2174, DaRUS, V1 We train a self-supervised siamese model that enables querying for similar behavior on spatiotemporal volumes. Here we provide the code and data needed to reproduce the representative figures of the paper. See the notes and the included readme file for details.
Visual Analytics System for Hidden States in Recurrent Neural Networks Sep 10, 2021 - PN 6-4 Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/darus-2052, DaRUS, V1 Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analy...

Data for: A Comparative Study of Visualizations for Multiple Time Series

Dec 1, 2021 - Institut für Visualisierung und Interaktive Systeme

Franke, Max; Knabben, Moritz; Lang, Julian; Koch, Steffen; Blascheck, Tanja, 2021, "Data for: A Comparative Study of Visualizations for Multiple Time Series", https://doi.org/10.18419/darus-2134, DaRUS, V1, UNF:6:jaMGOfSI5L/wPcnoJNKcaQ== [fileUNF]

Study data of comparative study of visualizations for multiple time series including anonymized participant data from Prolific, data set generation scripts, source code for the study framework, and analysis scripts. This repository also serves as supplemental material for the pub...

Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

Oct 5, 2021 - PN 6-6

Tkachev, Gleb, 2021, "Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"", https://doi.org/10.18419/darus-2174, DaRUS, V1

We train a self-supervised siamese model that enables querying for similar behavior on spatiotemporal volumes. Here we provide the code and data needed to reproduce the representative figures of the paper. See the notes and the included readme file for details.

Visual Analytics System for Hidden States in Recurrent Neural Networks

Sep 10, 2021 - PN 6-4

Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/darus-2052, DaRUS, V1

Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analy...

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