b'Steffen Staab'

DeepAI AI Chat

Featured Co-authors

Zhenguo Li
93 publications
Jun Sun
82 publications
Klaus Dietmayer
81 publications
Shirui Pan
72 publications
Jens Lehmann
71 publications
Zihao Wang
71 publications
Stephan Mandt
60 publications
Jose M. Alvarez
52 publications
Axel-Cyrille Ngonga Ngomo
46 publications
Gerard de Melo
43 publications
Marius Kloft
40 publications

research

∙ 03/17/2023

The Role of Large Language Models in the Recognition of Territorial Sovereignty: An Analysis of the Construction of Legitimacy

We examine the potential impact of Large Language Models (LLM) on the re...

0 Francisco Castillo-Eslava, et al. ∙

research

∙ 03/14/2023

Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions

As input data distributions evolve, the predictive performance of machin...

0 Carlos Mougan, et al. ∙

research

∙ 03/14/2023

Demographic Parity Inspector: Fairness Audits via the Explanation Space

Even if deployed with the best intentions, machine learning methods can ...

0 Carlos Mougan, et al. ∙

research

∙ 01/09/2023

SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks

Understanding traffic scenes requires considering heterogeneous informat...

0 Thomas Monninger, et al. ∙

research

∙ 12/12/2022

Robust Recurrent Neural Network to Identify Ship Motion in Open Water with Performance Guarantees – Technical Report

Recurrent neural networks are capable of learning the dynamics of an unk...

0 Daniel Frank, et al. ∙

research

∙ 11/15/2022

Predicting Eye Gaze Location on Websites

World-wide-web, with the website and webpage as the main interface, faci...

0 Ciheng Zhang, et al. ∙

research

∙ 10/22/2022

Explanation Shift: Detecting distribution shifts on tabular data via the explanation space

As input data distributions evolve, the predictive performance of machin...

0 Carlos Mougan, et al. ∙

research

∙ 08/04/2022

Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces

Knowledge Graphs, such as Wikidata, comprise structural and textual know...

15 Mojtaba Nayyeri, et al. ∙

research

∙ 03/11/2022

Formalizing Cost Fairness for Two-Party Exchange Protocols using Game Theory and Applications to Blockchain (Extended Version)

Existing fair exchange protocols usually neglect consideration of cost w...

0 Matthias Lohr, et al. ∙

research

∙ 02/08/2022

Detecting Anomalies within Time Series using Local Neural Transformations

We develop a new method to detect anomalies within time series, which is...

0 Tim Schneider, et al. ∙

research

∙ 01/27/2022

Fairness implications of encoding protected categorical attributes

Protected attributes are often presented as categorical features that ne...

5 Carlos Mougan, et al. ∙

research

∙ 01/24/2022

Box Embeddings for the Description Logic EL++

Recently, various methods for representation learning on Knowledge Bases...

0 Bo Xiong, et al. ∙

research

∙ 01/10/2022

User Interaction Analysis through Contrasting Websites Experience

Current advance of internet allows rapid dissemination of information, a...

0 Decky Aspandi Latif, et al. ∙

research

∙ 12/09/2021

Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's Revision History

Wikidata is the largest general-interest knowledge base that is openly a...

1 Lukas Schmelzeisen, et al. ∙

research

∙ 07/12/2021

ProGS: Property Graph Shapes Language (Extended Version)

Property graphs constitute data models for representing knowledge graphs...

0 Philipp Seifer, et al. ∙

research

∙ 06/25/2021

Learning Gradual Argumentation Frameworks using Genetic Algorithms

Gradual argumentation frameworks represent arguments and their relations...

0 Jonathan Spieler, et al. ∙

research

∙ 06/06/2021

Semi-Riemannian Graph Convolutional Networks

Graph Convolutional Networks (GCNs) are typically studied through the le...

0 Bo Xiong, et al. ∙

research

∙ 03/11/2021

Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction

Physical motion models offer interpretable predictions for the motion of...

0 Alexandra Baier, et al. ∙

research

∙ 11/23/2020

LaHAR: Latent Human Activity Recognition using LDA

Processing sequential multi-sensor data becomes important in many tasks ...

0 Zeyd Boukhers, et al. ∙

research

∙ 11/18/2020

MOFA: Modular Factorial Design for Hyperparameter Optimization

Automated hyperparameter optimization (HPO) has shown great power in man...

0 Bo Xiong, et al. ∙

research

∙ 09/10/2020

GeoSPARQL+: Syntax, Semantics and System for Integrated Querying of Graph, Raster and Vector Data – Technical Report

We introduce an approach to semantically represent and query raster data...

0 Timo Homburg, et al. ∙

research

∙ 08/31/2020

Deciding SHACL Shape Containment through Description Logics Reasoning (Extended Version)

The Shapes Constraint Language (SHACL) allows for formalizing constraint...

0 Martin Leinberger, et al. ∙

research

∙ 03/04/2020

Knowledge Graphs

In this paper we provide a comprehensive introduction to knowledge graph...

8 Aidan Hogan, et al. ∙

research

∙ 01/22/2020

Time-invariant degree growth in preferential attachment network models

Preferential attachment drives the evolution of many complex networks. I...

0 Jun Sun, et al. ∙

research

∙ 01/14/2020

Bias in Data-driven AI Systems – An Introductory Survey

AI-based systems are widely employed nowadays to make decisions that hav...

0 Eirini Ntoutsi, et al. ∙

research

∙ 10/16/2019

Understanding Social Networks using Transfer Learning

A detailed understanding of users contributes to the understanding of th...

0 Jun Sun, et al. ∙

research

∙ 07/01/2019

Type Checking Program Code using SHACL (Extended Version)

It is a strength of graph-based data formats, like RDF, that they are ve...

0 Martin Leinberger, et al. ∙

research

∙ 04/05/2019

CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors

This paper describes our submission to SemEval-2019 Task 7: RumourEval: ...

0 Ipek Baris, et al. ∙

research

∙ 02/01/2019

Semantic Query Integration With Reason

Graph-based data models allow for flexible data representation. In parti...

0 Philipp Seifer, et al. ∙

research

∙ 01/31/2019

Learning Taxonomies of Concepts and not Words using Contextualized Word Representations: A Position Paper

Taxonomies are semantic hierarchies of concepts. One limitation of curre...

0 Lukas Schmelzeisen, et al. ∙

research

∙ 04/09/2018

Systematically Monitoring Social Media: The case of the German federal election 2017

It is a considerable task to collect digital trace data at a large scale...

0 Sebastian Stier, et al. ∙

research

∙ 11/09/2016

Predicting User Roles in Social Networks using Transfer Learning with Feature Transformation

How can we recognise social roles of people, given a completely unlabell...

0 Jun Sun, et al. ∙