David Bernhauer

Orcid: 0000-0003-2368-7506

According to our database1, David Bernhauer authored at least 13 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2024
Visualizations for universal deep-feature representations: survey and taxonomy.
Knowl. Inf. Syst., February, 2024

2023
Visual Representations for Data Analytics: User Study.
Proceedings of the Computer-Human Interaction Research and Applications, 2023

2022
Modular framework for similarity-based dataset discovery using external knowledge.
Data Technol. Appl., 2022

Open dataset discovery using context-enhanced similarity search.
Knowl. Inf. Syst., 2022

Code Visualization for Plagiarism Detection.
Proceedings of the Ninth International Conference on Social Networks Analysis, 2022

2021
Similarity vs. Relevance: From Simple Searches to Complex Discovery.
Proceedings of the Similarity Search and Applications - 14th International Conference, 2021

2020
Analysing Indexability of Intrinsically High-Dimensional Data Using TriGen.
Proceedings of the Similarity Search and Applications - 13th International Conference, 2020

Evaluation Framework for Search Methods Focused on Dataset Findability in Open Data Catalogs.
Proceedings of the iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services, Virtual Event / Chiang Mai, Thailand, November 30, 2020

2019
Non-metric Similarity Search Using Genetic TriGen.
Proceedings of the Similarity Search and Applications - 12th International Conference, 2019

Inferred Social Networks: A Case Study.
Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

Approximate search in dissimilarity spaces using GA.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2019

Advanced Behavioral Analyses Using Inferred Social Networks: A Vision.
Proceedings of the Database and Expert Systems Applications, 2019

SIMILANT: An Analytic Tool for Similarity Modeling.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019


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