Tobias Eljasik-Swoboda

According to our database, Tobias Eljasik-Swoboda authored at least 11 papers between 2016 and 2021.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2021

Bootstrapping Explainable Text Categorization in Emergent Knowledge-Domains.

Tobias Eljasik-Swoboda

PhD thesis, 2021

2020

Leveraging Clustering and Natural Language Processing to Overcome Variety Issues in Log Management.

Tobias Eljasik-Swoboda, Wilhelm Demuth

Proceedings of the 12th International Conference on Agents and Artificial Intelligence, 2020

2019

Assessing Technology Readiness for Artificial Intelligence and Machine Learning based Innovations.

Tobias Eljasik-Swoboda, Christian Rathgeber, Rainer Hasenauer

Proceedings of the 8th International Conference on Data Science, 2019

Using Topic Specific Features for Argument Stance Recognition.

Tobias Eljasik-Swoboda, Felix Engel, Matthias L. Hemmje

Proceedings of the 8th International Conference on Data Science, 2019

Word Embedding Based Extension of Text Categorization Topic Taxonomies.

Tobias Eljasik-Swoboda, Felix Engel, Michael Kaufmann, Matthias L. Hemmje

Proceedings of the 5th Collaborative European Research Conference (CERC 2019), 2019

2018

Towards Enabling Emerging Named Entity Recognition as a Clinical Information and Argumentation Support.

Christian Nawroth, Felix Engel, Tobias Eljasik-Swoboda, Matthias L. Hemmje

Proceedings of the 7th International Conference on Data Science, 2018

No Target Function Classifier - Fast Unsupervised Text Categorization using Semantic Spaces.

Tobias Eljasik-Swoboda, Michael Kaufmann, Matthias L. Hemmje

Proceedings of the 7th International Conference on Data Science, 2018

2017

Modeling and Qualitative Evaluation of a Management Canvas for Big Data Applications.

Michael Kaufmann, Tobias Eljasik-Swoboda, Christian Nawroth, Kevin Berwind, Marco X. Bornschlegl, Matthias L. Hemmje

Proceedings of the 6th International Conference on Data Science, 2017

2016

Combining Taxonomies using Word2vec.

Tobias Swoboda, Matthias L. Hemmje, Mihai Dascalu, Stefan Trausan-Matu

Proceedings of the 2016 ACM Symposium on Document Engineering, 2016

Toward Cloud-based Classification and Annotation Support.

Tobias Swoboda, Michael A. Kaufmann, Matthias L. Hemmje

Proceedings of the CLOSER 2016, 2016

Toward Interactive Visualization of Results from Domain-Specific Text Analytics.

Tobias Swoboda, Christian Nawroth, Michael Kaufmann, Matthias L. Hemmje

Proceedings of the Advanced Visual Interfaces. Supporting Big Data Applications, 2016