activity
20172024
most citedContext Data Categories and Privacy Model for Mobile Data Collection Apps

52 citations · 129 across the 19 of their papers we have counts for

collaborators

20 papers

cs.CL2024★ 3 cited

SKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization

Huy Quoc To, Ming Liu, Guangyan Huang +4

Summarization for scientific text has shown significant benefits both for the research community and human society. Given the fact that the nature of scientific text is distinctive…

cs.CY2022★ 7 cited

Social Media App Usage in Relation with PHQ-9 Depression Scores during the COVID-19 Pandemic

Lena Mulansky, Rüdiger Pryss, Caroline Cohrdes +2

With about 300 million affected people, major depressive disorder (MDD) is one of the most common diseases worldwide. During the COVID-19 pandemic, the number of cases increased ev…

cs.SE2022★ 3 cited

Development Frameworks for Microservice-based Applications: Evaluation and Comparison

Hai Dinh-Tuan, Maria Mora-Martinez, Felix Beierle +1

The microservice architectural style has gained much attention from both academia and industry recently as a novel way to design, develop, and deploy cloud-native applications. Thi…

cs.SE2022

MS2M: A message-based approach for live stateful microservices migration

Hai Dinh-Tuan, Felix Beierle

In the last few years, the proliferation of edge and cloud computing infrastructures as well as the increasing number of mobile devices has facilitated the emergence of many novel…

cs.CY2021

Demonstrator Game Showcasing Indoor Positioning via BLE Signal Strength

Felix Beierle, Hai Dinh-Tuan, Yong Wu

For a non-technical audience, new concepts from computer science and engineering are often hard to grasp. In order to introduce a general audience to topics related to Industry 4.0…

cs.CY2021

Corona Health -- A Study- and Sensor-based Mobile App Platform Exploring Aspects of the COVID-19 Pandemic

Felix Beierle, Johannes Schobel, Carsten Vogel +29

Physical and mental well-being during the COVID-19 pandemic is typically assessed via surveys, which might make it difficult to conduct longitudinal studies and might lead to data…

cs.CY2021

Public Perception of the German COVID-19 Contact-Tracing App Corona-Warn-App

Felix Beierle, Uttam Dhakal, Caroline Cohrdes +2

Several governments introduced or promoted the use of contact-tracing apps during the ongoing COVID-19 pandemic. In Germany, the related app is called Corona-Warn-App, and by end o…

cs.SE2021

Developing Apps for Researching the COVID-19 Pandemic with the TrackYourHealth Platform

Carsten Vogel, Rüdiger Pryss, Johannes Schobel +2

Through lockdowns and other severe changes to daily life, almost everyone is affected by the COVID-19 pandemic. Scientists and medical doctors are - among others - mainly intereste…

cs.DC2020★ 1 cited

Distributed-Ledger-based Authentication with Decentralized Identifiers and Verifiable Credentials

Zoltán András Lux, Dirk Thatmann, Sebastian Zickau +1

Authentication with username and password is becoming an inconvenient process for the user. End users typically have little control over their personal privacy, and data breaches e…

cs.CR2019★ 1 cited

Full-text Search for Verifiable Credential Metadata on Distributed Ledgers

Zoltán András Lux, Felix Beierle, Sebastian Zickau +1

Self-sovereign Identity (SSI) powered by distributed ledger technologies enables more flexible and faster digital identification workflows, while at the same time limiting the cont…

cs.SI2019★ 5 cited

On Gossip-based Information Dissemination in Pervasive Recommender Systems

Tobias Eichinger, Felix Beierle, Robin Papke +3

Pervasive computing systems employ distributed and embedded devices in order to raise, communicate, and process data in an anytime-anywhere fashion. Certainly, its most prominent d…

cs.IR2019★ 1 cited

Collaborating with Users in Proximity for Decentralized Mobile Recommender Systems

Felix Beierle, Tobias Eichinger

Typically, recommender systems from any domain, be it movies, music, restaurants, etc., are organized in a centralized fashion. The service provider holds all the data, biases in t…

cs.DC2019★ 2 cited

MAIA: A Microservices-based Architecture for Industrial Data Analytics

Hai Dinh-Tuan, Felix Beierle, Sandro Rodriguez Garzon

In recent decades, it has become a significant tendency for industrial manufacturers to adopt decentralization as a new manufacturing paradigm. This enables more efficient operatio…

cs.SI2019

affinity: A System for Latent User Similarity Comparison on Texting Data

Tobias Eichinger, Felix Beierle, Sumsam Ullah Khan +3

In the field of social networking services, finding similar users based on profile data is common practice. Smartphones harbor sensor and personal context data that can be used for…

cs.CY2018★ 52 cited

Context Data Categories and Privacy Model for Mobile Data Collection Apps

Felix Beierle, Vinh Thuy Tran, Mathias Allemand +5

Context-aware applications stemming from diverse fields like mobile health, recommender systems, and mobile commerce potentially benefit from knowing aspects of the user's personal…

cs.SI2018★ 10 cited

Do You Like What I Like? Similarity Estimation in Proximity-based Mobile Social Networks

Felix Beierle

While existing social networking services tend to connect people who know each other, people show a desire to also connect to yet unknown people in physical proximity. Existing res…

cs.CY2018★ 16 cited

TYDR - Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data

Felix Beierle, Vinh Thuy Tran, Mathias Allemand +5

We present the Android app TYDR (Track Your Daily Routine) which tracks smartphone sensor and usage data and utilizes standardized psychometric personality questionnaires. With the…

cs.SI2017★ 15 cited

Towards Psychometrics-based Friend Recommendations in Social Networking Services

Felix Beierle, Kai Grunert, Sebastian Göndör +1

Two of the defining elements of Social Networking Services are the social profile, containing information about the user, and the social graph, containing information about the con…

cs.IR2017★ 9 cited

Exploring Choice Overload in Related-Article Recommendations in Digital Libraries

Felix Beierle, Akiko Aizawa, Joeran Beel

We investigate the problem of choice overload - the difficulty of making a decision when faced with many options - when displaying related-article recommendations in digital librar…

cs.NI2017★ 4 cited

Cross-Domain Discovery of Communication Peers. Identity Mapping and Discovery Services (IMaDS)

Ingo Friese, Rebecca Copeland, Sebastian Göndör +4

The upcoming WebRTC-based browser-to-browser communication services present new challenges for user discovery in peer-to-peer mode. Even more so, if we wish to enable different web…