1.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of ViennaAT14 papers
- Sapienza University of RomeIT12 papers
- Complexity Science HubAT11 papers
- University of SalzburgAT9 papers
- Johannes Kepler University of LinzAT8 papers
- Humboldt-Universität zu BerlinDE7 papers
- The University of MelbourneAU7 papers
- TU WienAT7 papers
- ETH ZurichCH6 papers
- Queensland University of TechnologyAU5 papers
- University College DublinIE5 papers
- University of AmsterdamNL5 papers
29 papers · 1 filter
Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019
Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71
One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…
Spying on the prior of the number of data clusters and the partition distribution in Bayesian cluster analysis
Jan Greve, Bettina Grün, Gertraud Malsiner-Walli +1
Cluster analysis aims at partitioning data into groups or clusters. In applications, it is common to deal with problems where the number of clusters is unknown. Bayesian mixture mo…
Context information increases revenue in ad auctions: Evidence from a policy change
Sıla Ada, Nadia Abou Nabout, Elea McDonnell Feit
Ad exchanges, i.e., platforms where real-time auctions for ad impressions take place, have developed sophisticated technology and data ecosystems to allow advertisers to target use…
Conformance Checking of Mixed-paradigm Process Models
Boudewijn van Dongen, Johannes De Smedt, Claudio Di Ciccio +1
Mixed-paradigm process models integrate strengths of procedural and declarative representations like Petri nets and Declare. They are specifically interesting for process mining be…
Interpretable and Transferable Models to Understand the Impact of Lockdown Measures on Local Air Quality
Johanna Einsiedler, Yun Cheng, Franz Papst +1
The COVID-19 related lockdown measures offer a unique opportunity to understand how changes in economic activity and traffic affect ambient air quality and how much pollution reduc…
Visual Drift Detection for Sequence Data Analysis of Business Processes
Anton Yeshchenko, Claudio Di Ciccio, Jan Mendling +1
Event sequence data is increasingly available in various application domains, such as business process management, software engineering, or medical pathways. Processes in these dom…
Large Scale Legal Text Classification Using Transformer Models
Zein Shaheen, Gerhard Wohlgenannt, Erwin Filtz
Large multi-label text classification is a challenging Natural Language Processing (NLP) problem that is concerned with text classification for datasets with thousands of labels. W…
Trustworthy Digital Twins in the Industrial Internet of Things with Blockchain
Sabah Suhail, Rasheed Hussain, Raja Jurdak +1
Industrial processes rely on sensory data for critical decision-making processes. Extracting actionable insights from the collected data calls for an infrastructure that can ensure…
Fairness in Machine Learning: A Survey
Simon Caton, Christian Haas
As Machine Learning technologies become increasingly used in contexts that affect citizens, companies as well as researchers need to be confident that their application of these me…
Entropia: A Family of Entropy-Based Conformance Checking Measures for Process Mining
Artem Polyvyanyy, Hanan Alkhammash, Claudio Di Ciccio +6
This paper presents a command-line tool, called Entropia, that implements a family of conformance checking measures for process mining founded on the notion of entropy from informa…
A test for Heckscher-Ohlin using value-added exports
Philipp Koch, Clemens Fessler
Empirical evidence for the Heckscher-Ohlin model has been inconclusive. We test whether the predictions of the Heckscher-Ohlin Theorem with respect to labor and capital find suppor…
Economic Complexity and Growth: Can value-added exports better explain the link?
Philipp Koch
In economic literature, economic complexity is typically approximated on the basis of an economy's gross export structure. However, in times of ever increasingly integrated global…
Complexity science approach to economic crime
János Kertész, Johannes Wachs
In this comment we discuss how complexity science and network science are particularly useful for identifying and describing the hidden traces of economic misbehaviour such as frau…
How Much Ad Viewability is Enough? The Effect of Display Ad Viewability on Advertising Effectiveness
Christina Uhl, Nadia Abou Nabout, Klaus Miller
A large share of all online display advertisements (ads) are never seen by a human. For instance, an ad could appear below the page fold, where a user never scrolls. Yet, an ad is…
Towards Querying in Decentralized Environments with Privacy-Preserving Aggregation
Ruben Taelman, Simon Steyskal, Sabrina Kirrane
The Web is a ubiquitous economic, educational, and collaborative space. However, it also serves as a haven for personal information harvesting. Existing decentralised Web-based eco…
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP
Sven Weinzierl, Sandra Zilker, Jens Brunk +3
Predictive business process monitoring (PBPM) is a class of techniques designed to predict behaviour, such as next activities, in running traces. PBPM techniques aim to improve pro…
Foundational Oracle Patterns: Connecting Blockchain to the Off-chain World
Roman Mühlberger, Stefan Bachhofner, Eduardo Castelló Ferrer +4
Blockchain has evolved into a platform for decentralized applications, with beneficial properties like high integrity, transparency, and resilience against censorship and tampering…
Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances
Jens Brunk, Matthias Stierle, Leon Papke +3
Predicting undesirable events during the execution of a business process instance provides the process participants with an opportunity to intervene and keep the process aligned wi…
Engineering Privacy by Design: Are engineers ready to live up to the challenge?
Kathrin Bednar, Sarah Spiekermann, Marc Langheinrich
Organizations struggle to comply with legal requirements as well as customers calls for better data protection. On the implementation level, incorporation of privacy protections in…
How Gamification Affects Software Developers: Cautionary Evidence from a Natural Experiment on GitHub
Lukas Moldon, Markus Strohmaier, Johannes Wachs
We examine how the behavior of software developers changes in response to removing gamification elements from GitHub, an online platform for collaborative programming and software…
The Challenges and Impact of Privacy Policy Comprehension
Jana Korunovska, Bernadette Kamleitner, Sarah Spiekermann
The new information and communication technology providers collect increasing amounts of personal data, a lot of which is user generated. Unless use policies are privacy-friendly,…
Street Marketing: How Proximity and Context drive Coupon Redemption
Sarah Spiekermann, Matthias Rothensee, Michael Klafft
Purpose: In 2009, US coupons set a new record of 367 billion coupons distributed. Yet, while coupon distribution is on the rise, redemption rates remain below 1 percent. This paper…
Do Interruptions Pay Off? Effects of Interruptive Ads on Consumers Willingness to Pay
Alessandro Acquisti, Sarah Spiekermann
We present the results of a study designed to measure the impact of interruptive advertising on consumers willingness to pay for products bearing the advertiser's brand. Subjects p…
A vision for global privacy bridges: Technical and legal measures for international data markets
Sarah Spiekermann, Alexander Novotny
From the early days of the information economy, personal data has been its most valuable asset. Despite data protection laws and an acknowledged right to privacy, trading personal…