Sven Giesselbach

Orcid: 0000-0002-2691-1406

According to our database1, Sven Giesselbach authored at least 13 papers between 2018 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
From admission to discharge: a systematic review of clinical natural language processing along the patient journey.
BMC Medical Informatics Decis. Mak., December, 2024

Data Science with Foundation Models: An Evidence-Based, Comprehensive Project Methodology
PhD thesis, 2024

2023
Foundation Models for Natural Language Processing - Pre-trained Language Models Integrating Media
Artificial Intelligence: Foundations, Theory, and Algorithms, Springer, ISBN: 978-3-031-23189-6, 2023

Informed Machine Learning - A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems.
IEEE Trans. Knowl. Data Eng., 2023

Foundation Models for Natural Language Processing - Pre-trained Language Models Integrating Media.
CoRR, 2023

2022
Assessing the Performance Gain on Retail Article Categorization at the Expense of Explainability and Resource Efficiency.
Proceedings of the KI 2022: Advances in Artificial Intelligence, 2022

2021
Introducing the NLU Showroom: A NLU Demonstrator for the German Language.
Proceedings of the 3rd Conference on Language, Data and Knowledge, 2021

Supporting verification of news articles with automated search for semantically similar articles.
Proceedings of the workshop Reducing Online Misinformation Through Credible Information Retrieval (ROMCIR 2021) co-located with 43rd European Conference on Information Retrieval (ECIR 2021), 2021

2020
Using Probabilistic Soft Logic to Improve Information Extraction in the Legal Domain.
Proceedings of the Conference "Lernen, 2020

2019
Systematic Comparison of the Influence of Different Data Preprocessing Methods on the Classification of Gait Using Machine Learning.
CoRR, 2019

Improving Word Embeddings Using Kernel PCA.
Proceedings of the 4th Workshop on Representation Learning for NLP, 2019

2018
Corresponding Projections for Orphan Screening.
CoRR, 2018

Making Efficient Use of a Domain Expert's Time in Relation Extraction.
CoRR, 2018


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