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06/14/2023
Probabilistic Regular Tree Priors for Scientific Symbolic Reasoning
Symbolic Regression (SR) allows for the discovery of scientific equation...
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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...
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03/14/2023
Explanation Shift: Investigating Interactions between Models and Shifting Data Distributions
As input data distributions evolve, the predictive performance of machin...
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03/14/2023
Demographic Parity Inspector: Fairness Audits via the Explanation Space
Even if deployed with the best intentions, machine learning methods can ...
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01/09/2023
SCENE: Reasoning about Traffic Scenes using Heterogeneous Graph Neural Networks
Understanding traffic scenes requires considering heterogeneous informat...
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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...
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11/15/2022
Predicting Eye Gaze Location on Websites
World-wide-web, with the website and webpage as the main interface, faci...
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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...
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08/04/2022
Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces
Knowledge Graphs, such as Wikidata, comprise structural and textual know...
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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...
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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...
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01/27/2022
Fairness implications of encoding protected categorical attributes
Protected attributes are often presented as categorical features that ne...
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01/24/2022
Box Embeddings for the Description Logic EL++
Recently, various methods for representation learning on Knowledge Bases...
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01/10/2022
User Interaction Analysis through Contrasting Websites Experience
Current advance of internet allows rapid dissemination of information, a...
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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...
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07/12/2021
ProGS: Property Graph Shapes Language (Extended Version)
Property graphs constitute data models for representing knowledge graphs...
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06/25/2021
Learning Gradual Argumentation Frameworks using Genetic Algorithms
Gradual argumentation frameworks represent arguments and their relations...
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06/06/2021
Semi-Riemannian Graph Convolutional Networks
Graph Convolutional Networks (GCNs) are typically studied through the le...
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03/11/2021
Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction
Physical motion models offer interpretable predictions for the motion of...
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11/23/2020
LaHAR: Latent Human Activity Recognition using LDA
Processing sequential multi-sensor data becomes important in many tasks ...
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11/18/2020
MOFA: Modular Factorial Design for Hyperparameter Optimization
Automated hyperparameter optimization (HPO) has shown great power in man...
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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...
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08/31/2020
Deciding SHACL Shape Containment through Description Logics Reasoning (Extended Version)
The Shapes Constraint Language (SHACL) allows for formalizing constraint...
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03/04/2020
Knowledge Graphs
In this paper we provide a comprehensive introduction to knowledge graph...
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01/22/2020
Time-invariant degree growth in preferential attachment network models
Preferential attachment drives the evolution of many complex networks. I...
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01/14/2020
Bias in Data-driven AI Systems – An Introductory Survey
AI-based systems are widely employed nowadays to make decisions that hav...
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10/16/2019
Understanding Social Networks using Transfer Learning
A detailed understanding of users contributes to the understanding of th...
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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...
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04/05/2019
CLEARumor at SemEval-2019 Task 7: ConvoLving ELMo Against Rumors
This paper describes our submission to SemEval-2019 Task 7: RumourEval: ...
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02/01/2019
Semantic Query Integration With Reason
Graph-based data models allow for flexible data representation. In parti...
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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...
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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...
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11/09/2016