Eva Seidlmayer

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 7

Top Topics

Classification Process

Ripple Down Rules

Similarity Measure

Top Venues

IEEE Trans. Engineering Management

SEMANTiCS Posters&Demos

Publications

Tetyana Melnychuk, Lukas Galke, Eva Seidlmayer, Stefanie Bröring, Konrad U. Förstner, Klaus Tochtermann, Carsten Schultz
Development of Similarity Measures From Graph-Structured Bibliographic Metadata: An Application to Identify Scientific Convergence. IEEE Trans. Engineering Management 71 (2024)
Benjamin Wolff, Eva Seidlmayer, Konrad U. Förstner
Enriched BERT Embeddings for Scholarly Publication Classification. CoRR (2024)
Benjamin Wolff, Eva Seidlmayer, Konrad U. Förstner
Enriched BERT Embeddings for Scholarly Publication Classification. NSLP (2024)
Lukas Galke, Eva Seidlmayer, Gavin Lüdemann, Lisa Langnickel, Tetyana Melnychuk, Konrad U. Förstner, Klaus Tochtermann, Carsten Schultz
COVID-19++: A Citation-Aware Covid-19 Dataset for the Analysis of Research Dynamics. IEEE BigData (2021)
Eva Seidlmayer, Jakob Voß, Tetyana Melnychuk, Lukas Galke, Klaus Tochtermann, Carsten Schultz, Konrad U. Förstner
ORCID for Wikidata. Data enrichment for scientometric applications. Wikidata@ISWC (2020)
Eva Seidlmayer, Lukas Galke, Tetyana Melnychuk
Take it Personally - A Python library for data enrichment for infometrical applications. SEMANTiCS Posters&Demos (2019)
Lukas Galke, Tetyana Melnychuk, Eva Seidlmayer, Steffen Trog, Konrad U. Förstner, Carsten Schultz, Klaus Tochtermann
Inductive Learning of Concept Representations from Library-Scale Bibliographic Corpora. GI-Jahrestagung (2019)