7 citations · 21 across the 10 of their papers we have counts for
10 papers
Integrating granular data into a multilayer network: an interbank model of the euro area for systemic risk assessment
Ilias Aarab, Thomas Gottron, Andrea Colombo +2
Micro-structural models of contagion and systemic risk emphasize that shock propagation is inherently multi-channel, spanning counterparty exposures, short-term funding and roll-ov…
Network topology of the Euro Area interbank market
Ilias Aarab, Thomas Gottron
The rapidly increasing availability of large amounts of granular financial data, paired with the advances of big data related technologies induces the need of suitable analytics th…
Introducing explainable supervised machine learning into interactive feedback loops for statistical production system
Carlos Mougan, George Kanellos, Johannes Micheler +2
Statistical production systems cover multiple steps from the collection, aggregation, and integration of data to tasks like data quality assurance and dissemination. While the cont…
Desiderata for Explainable AI in statistical production systems of the European Central Bank
Carlos Mougan, Georgios Kanellos, Thomas Gottron
Explainable AI constitutes a fundamental step towards establishing fairness and addressing bias in algorithmic decision-making. Despite the large body of work on the topic, the ben…
Restricted Boltzmann Machines for Robust and Fast Latent Truth Discovery
Klaus Broelemann, Thomas Gottron, Gjergji Kasneci
We address the problem of latent truth discovery, LTD for short, where the goal is to discover the underlying true values of entity attributes in the presence of noisy, conflicting…
The Impact of the Filter Bubble -- A Simulation Based Framework for Measuring Personalisation Macro Effects in Online Communities
Thomas Gottron, Felix Schwagereit
The term filter bubble has been coined to describe the situation of online users which---due to filtering algorithms---live in a personalised information universe biased towards th…
Measuring the Accuracy of Linked Data Indices
Thomas Gottron
Being based on Web technologies, Linked Data is distributed and decentralised in its nature. Hence, for the purpose of finding relevant Linked Data on the Web, search indices play…
TermPicker: Enabling the Reuse of Vocabulary Terms by Exploiting Data from the Linked Open Data Cloud - An Extended Technical Report
Johann Schaible, Thomas Gottron, Ansgar Scherp
Deciding which vocabulary terms to use when modeling data as Linked Open Data (LOD) is far from trivial. Choosing too general vocabulary terms, or terms from vocabularies that are…
Web Content Extraction - a Meta-Analysis of its Past and Thoughts on its Future
Tim Weninger, Rodrigo Palacios, Valter Crescenzi +2
In this paper, we present a meta-analysis of several Web content extraction algorithms, and make recommendations for the future of content extraction on the Web. First, we find tha…
A Generalized Language Model as the Combination of Skipped n-grams and Modified Kneser-Ney Smoothing
Rene Pickhardt, Thomas Gottron, Martin Körner +3
We introduce a novel approach for building language models based on a systematic, recursive exploration of skip n-gram models which are interpolated using modified Kneser-Ney smoot…