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Display of 10 of 320 results for the collection: Informatik und Informationswissenschaft.

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(328.9 KiB)

Learning and Teaching in Co-Adaptive Guidance for Mixed-Initiative Visual Analytics

Sperrle, Fabian; Jeitler, Astrik Veronika; Bernard, Jürgen; Keim, Daniel A.; El-Assady, Mennatallah (2020) - Contribution to a conference
Published in: EuroVis Workshop on Visual Analytics (EuroVA) / Turkay, Cagatay; Vrotsou, Katerina (ed.). - Goslar : Eurographics Association, 2020. - pp. 61-65. - eISSN 2664-4487. - ISBN 978-3-03868-116-8
(4.8 MiB)

MultiSegVA : Using Visual Analytics to Segment Biologging Time Series on Multiple Scales

Meschenmoser, Philipp; Buchmüller, Juri F.; Seebacher, Daniel; Wikelski, Martin; Keim, Daniel A. (2020) - Contribution to a conference
Published in: Proceedings of IEEE Conference on Visual Analytics Science and Technology (VAST), 2020. - Piscataway, NJ : IEEE, 2020
(217.1 KiB)

Visual Analytics for Supporting Conflict Resolution in Large Railway Networks

Schlegel, Udo; Jentner, Wolfgang; Buchmüller, Juri; Cakmak, Eren; Castiglia, Giuliano; Canepa, Renzo; Petralli, Simone; Oneto, Luca; Keim, Daniel A.; Anguita, Davide (2020) - Contribution to a conference
Published in: Recent Advances in Big Data and Deep Learning : Proceedings of the INNS Big Data and Deep Learning Conference, INNSBDDL2019 / Oneto, Luca et al. (ed.). - Cham : Springer, 2020. - (Proceedings of the International Neural Networks Society ; 1). - pp. 206-215. - ISSN 2661-8141. - eISSN 2661-815X. - ISBN 978-3-030-16840-7
(10 MiB)

dg2pix : Pixel-Based Visual Analysis of Dynamic Graphs

Cakmak, Eren; Jäckle, Dominik; Schreck, Tobias; Keim, Daniel A. (2020) - Contribution to a conference
Published in: Proceedings of 2020 IEEE Visualization Conference (VIS2020). - Piscataway, NJ : IEEE, 2020
(9.1 MiB)

Augmenting Sheet Music with Rhythmic Fingerprints

Fürst, Daniel; Miller, Matthias; Keim, Daniel A.; Bonnici, Alexandra; Schäfer, Hanna; El-Assady, Mennatallah (2020) - Contribution to a conference
Published in: 5th Workshop on Visualization for the Digital Humanities
(287.2 KiB)

ModelSpeX : Model Specification Using Explainable Artificial Intelligence Methods

Schlegel, Udo; Cakmak, Eren; Keim, Daniel A. (2020) - Contribution to a conference
Published in: Machine Learning Methods in Visualisation for Big Data 2020 / Archambault, Daniel et al. (ed.). - Genf : The Eurographics Association, 2020. - pp. 7-11. - ISBN 978-3-03868-113-7
(770.6 KiB)

Assessing 2D and 3D Heatmaps for Comparative Analysis : An Empirical Study

Kraus, Matthias; Angerbauer, Katrin; Buchmüller, Juri; Schweitzer, Daniel; Keim, Daniel A.; Sedlmair, Michael; Fuchs, Johannes (2020) - Contribution to a conference
Published in: CHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems. - New York, NY : ACM, 2020. - 546. - ISBN 978-1-4503-6708-0
(2.4 MiB)

Quality Metrics for Symmetric Graph Drawings

Meidiana, Amyra; Hong, Seok-Hee; Eades, Peter; Keim, Daniel A. (2020) - Contribution to a conference
Published in: 2020 IEEE Pacific Visualization Symposium (PacificVis) : Proceedings / Beck, Fabian et al. (ed.). - Piscataway, NJ : IEEE, 2020. - pp. 11-15. - ISSN 2165-8765. - eISSN 2165-8773. - ISBN 978-1-72815-697-2
(3 MiB)

A Comparative Study of Orientation Support Tools in Virtual Reality Environments with Virtual Teleportation

Kraus, Matthias; Schäfer, Hanna; Meschenmoser, Philipp; Schweitzer, Daniel; Keim, Daniel A.; Sedlmair, Michael; Fuchs, Johannes (2020) - Contribution to a conference
Published in: 2020 IEEE International Symposium on Mixed and Augmented Reality (ISMAR). - Piscataway, NJ : IEEE, 2020. - pp. 227-238. - ISSN 1554-7868. - ISBN 978-1-72818-508-8
(487.2 KiB)

Towards A Rigorous Evaluation Of XAI Methods On Time Series

Schlegel, Udo; Arnout, Hiba; El-Assady, Mennatallah; Oelke, Daniela; Keim, Daniel A. (2019) - Contribution to a conference
Published in: 2019 IEEE/CVF International Conference on Computer Vision Workshop (ICCVW). - Piscataway, NJ : IEEE, 2019. - pp. 4321-4325. - ISSN 2473-9936. - eISSN 2473-9944. - ISBN 978-1-72815-023-9

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