14 citations · 38 across the 8 of their papers we have counts for
9 papers
Cluster Purging: Efficient Outlier Detection based on Rate-Distortion Theory
Maximilian B. Toller, Bernhard C. Geiger, Roman Kern
Rate-distortion theory-based outlier detection builds upon the rationale that a good data compression will encode outliers with unique symbols. Based on this rationale, we propose…
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…
Privacy in Open Search: A Review of Challenges and Solutions
Samuel Sousa, Christian Guetl, Roman Kern
Privacy is of worldwide concern regarding activities and processes that include sensitive data. For this reason, many countries and territories have been recently approving regulat…
Formula RL: Deep Reinforcement Learning for Autonomous Racing using Telemetry Data
Adrian Remonda, Sarah Krebs, Eduardo Veas +2
This paper explores the use of reinforcement learning (RL) models for autonomous racing. In contrast to passenger cars, where safety is the top priority, a racing car aims to minim…
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…
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…
Activity Archetypes in Question-and-Answer (Q&A) Websites - A Study of 50 Stack Exchange Instances
Tiago Santos, Simon Walk, Roman Kern +2
Millions of users on the Internet discuss a variety of topics on Question-and-Answer (Q&A) instances. However, not all instances and topics receive the same amount of attention, as…
From Data to Visualisations and Back: Selecting Visualisations Based on Data and System Design Considerations
Belgin Mutlu, Vedran Sabol, Heimo Gursch +1
Graphical interfaces and interactive visualisations are typical mediators between human users and data analytics systems. HCI researchers and developers have to be able to understa…
Recommending Scientific Literature: Comparing Use-Cases and Algorithms
Roman Kern, Kris Jack, Michael Granitzer
An important aspect of a researcher's activities is to find relevant and related publications. The task of a recommender system for scientific publications is to provide a list of…