2 citations · 3 across the 2 of their papers we have counts for
3 papers
cs.CL2022★ 1 cited
How to keep text private? A systematic review of deep learning methods for privacy-preserving natural language processing
Samuel Sousa, Roman Kern
Deep learning (DL) models for natural language processing (NLP) tasks often handle private data, demanding protection against breaches and disclosures. Data protection laws, such a…
cs.LG2019★ 2 cited
Robust Parameter-Free Season Length Detection in Time Series
Maximilian Toller, Roman Kern
The in-depth analysis of time series has gained a lot of research interest in recent years, with the identification of periodic patterns being one important aspect. Many of the met…
cs.IR2019
Using the Open Meta Kaggle Dataset to Evaluate Tripartite Recommendations in Data Markets
Dominik Kowald, Matthias Traub, Dieter Theiler +5
This work addresses the problem of providing and evaluating recommendations in data markets. Since most of the research in recommender systems is focused on the bipartite relations…