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Sven Giesselbach
Sven Giesselbach
Bestätigte E-Mail-Adresse bei iais.fraunhofer.de
Titel
Zitiert von
Zitiert von
Jahr
Informed machine learning–a taxonomy and survey of integrating prior knowledge into learning systems
L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ...
IEEE Transactions on Knowledge and Data Engineering 35 (1), 614-633, 2021
5872021
Systematic comparison of the influence of different data preprocessing methods on the performance of gait classifications using machine learning
J Burdack, F Horst, S Giesselbach, I Hassan, S Daffner, WI Schöllhorn
Frontiers in bioengineering and biotechnology 8, 260, 2020
372020
Foundation Models for Natural Language Processing: Pre-trained Language Models Integrating Media
G Paaß, S Giesselbach
Springer Nature, 2023
172023
Improving word embeddings using kernel PCA
V Gupta, S Giesselbach, S Rüping, C Bauckhage
Proceedings of the 4th Workshop on Representation Learning for NLP (RepL4NLP …, 2019
122019
Informed machine learning-a taxonomy and survey of integrating knowledge into learning systems (2020)
L Von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese, ...
arXiv preprint arXiv:1903.12394, 1903
91903
A public dataset of overground walking kinetics in healthy adult individuals on different sessions within one day
J Burdack, F Horst, S Giesselbach, I Hassan, S Daffner, WI Schöllhorn
Mendeley Data 1 (2), 2020
72020
Robust End-User-Driven Social Media Monitoring for Law Enforcement and Emergency Monitoring
B Kirsch, S Giesselbach, D Knodt, S Rüping
Community-Oriented Policing and Technological Innovations, 29, 2018
72018
Supporting verification of news articles with automated search for semantically similar articles
V Gupta, K Beckh, S Giesselbach, D Wegener, T Wirtz
arXiv preprint arXiv:2103.15581, 2021
62021
On feature extraction for fingerprinting grapevine leaves
DL Michels, SA Giesselbach, T Werner, V Steinhage
Proceedings of the International Conference on Image Processing, Computer …, 2013
62013
Making Efficient Use of a Domain Expert's Time in Relation Extraction
L Adilova, S Giesselbach, S Rüping
arXiv preprint arXiv:1807.04687, 2018
52018
Identifying underlying individuality across running, walking, and handwriting patterns with conditional cycle–consistent generative adversarial networks
J Burdack, S Giesselbach, ML Simak, ML Ndiaye, C Marquardt, ...
Frontiers in Bioengineering and Biotechnology 11, 2023
32023
Improving pre-trained language models
G Paaß, S Giesselbach
Foundation Models for Natural Language Processing: Pre-trained Language …, 2023
22023
Pre-trained Language Models
G Paaß, S Giesselbach
Foundation Models for Natural Language Processing: Pre-trained Language …, 2023
22023
Assessing the Performance Gain on Retail Article Categorization at the Expense of Explainability and Resource Efficiency
E Brito, V Gupta, E Hahn, S Giesselbach
German Conference on Artificial Intelligence (Künstliche Intelligenz), 45-52, 2022
22022
Using Probabilistic Soft Logic to Improve Information Extraction in the Legal Domain.
B Kirsch, S Giesselbach, T Schmude, M Völkening, F Rostalski, S Rüping
LWDA, 76-87, 2020
22020
Community-Oriented Policing and Technological Innovations
G Leventakis, MR Haberfeld
Springer Nature, 2018
22018
& Schuecker, J.(2021). Informed Machine Learning-A Taxonomy and Survey of Integrating Prior Knowledge into Learning Systems
L von Rueden, S Mayer, K Beckh, B Georgiev, S Giesselbach, R Heese
IEEE Transactions on Knowledge & Data Engineering 1, 1-1, 0
2
Corresponding Projections for Orphan Screening
S Giesselbach, K Ullrich, M Kamp, D Paurat, T Gärtner
Machine Learning for Health (ML4H) Workshop at NeurIPS 2018, 2018
12018
Natural Language Processing in der Medizin. Whitepaper
D Antweiler, K Beckh, N Chakraborty, S Giesselbach, K Klug, S Rüping
2023
Knowledge Acquired by Foundation Models
G Paaß, S Giesselbach
Foundation Models for Natural Language Processing: Pre-trained Language …, 2023
2023
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