Toward Interactive Visualization of Results from Domain-Specific Text Analytics. - Tobias Swoboda; Christian Nawroth; Michael Kaufmann 004; Matthias L. Hemmje (BDA@AVI, 2016)

Toward Cloud-based Classification and Annotation Support. - Tobias Swoboda; Michael A. Kaufmann; Matthias L. Hemmje (CLOSER (2), 2016)

Combining Taxonomies using Word2vec. - Tobias Swoboda; Matthias L. Hemmje; Mihai Dascalu; Stefan Trausan-Matu (DocEng, 2016)

Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications. - Michael Kaufmann 004; Tobias Eljasik-Swoboda; Christian Nawroth; Kevin Berwind; Marco X. Bornschlegl; Matthias L. Hemmje (DATA, 2017)

No Target Function Classifier - Fast Unsupervised Text Categorization using Semantic Spaces. - Tobias Eljasik-Swoboda; Michael Kaufmann 004; Matthias L. Hemmje (DATA, 2018)

Towards Enabling Emerging Named Entity Recognition as a Clinical Information and Argumentation Support. - Christian Nawroth; Felix Engel 002; Tobias Eljasik-Swoboda; Matthias L. Hemmje (DATA, 2018)

Word Embedding Based Extension of Text Categorization Topic Taxonomies. - Tobias Eljasik-Swoboda; Felix Engel 002; Michael Kaufmann 004; Matthias L. Hemmje (CERC, 2019)

Using Topic Specific Features for Argument Stance Recognition. - Tobias Eljasik-Swoboda; Felix Engel 002; Matthias L. Hemmje (DATA, 2019)

Assessing Technology Readiness for Artificial Intelligence and Machine Learning based Innovations. - Tobias Eljasik-Swoboda; Christian Rathgeber; Rainer Hasenauer (DATA, 2019)

Leveraging Clustering and Natural Language Processing to Overcome Variety Issues in Log Management. - Tobias Eljasik-Swoboda; Wilhelm Demuth (ICAART (2), 2020)

Bootstrapping Explainable Text Categorization in Emergent Knowledge-Domains. - Tobias Eljasik-Swoboda (2021)