Wolfgang Maaß
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View article: Domain Knowledge in Artificial Intelligence: Using Conceptual Modeling to Increase Machine Learning Accuracy and Explainability
Domain Knowledge in Artificial Intelligence: Using Conceptual Modeling to Increase Machine Learning Accuracy and Explainability Open
Machine learning enables the extraction of useful information from large, diverse datasets. However, despite many successful applications, machine learning continues to suffer from performance and transparency issues. These challenges can …
View article: <i>OA-WinSeg:</i> Occlusion-Aware Window Segmentation With Conditional Adversarial Training Guided by Structural Prior Information
<i>OA-WinSeg:</i> Occlusion-Aware Window Segmentation With Conditional Adversarial Training Guided by Structural Prior Information Open
Window segmentation and vectorization remains a significant challenge, particularly in the absence of clean facade images. To extract complete window segments from building façade images with occlusions, this article proposes an occlusion-…
View article: RAG for Effective Supply Chain Security Questionnaire Automation
RAG for Effective Supply Chain Security Questionnaire Automation Open
In an era where digital security is crucial, efficient processing of security-related inquiries through supply chain security questionnaires is imperative. This paper introduces a novel approach using Natural Language Processing (NLP) and …
View article: QUASIM: Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing
QUASIM: Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing Open
Quantum computing (QC) and machine learning (ML), taken individually or combined into quantum-assisted ML (QML), are ascending computing paradigms whose calculations come with huge potential for speedup, increase in precision, and resource…
View article: Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Series
Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Series Open
Anomaly detection in clinical time-series holds significant potential in identifying suspicious patterns in different biological parameters. In this paper, we propose a targeted method that incorporates the clinical domain knowledge into L…
View article: From Data to Action: A Graph-Based Approach for Decision Support in Civil Protection Operations Planning
From Data to Action: A Graph-Based Approach for Decision Support in Civil Protection Operations Planning Open
In the face of increasing frequency and severity of crises such as natural disasters, pandemics, and geopolitical conflicts, civil protection organizations are crucial for recovery and support for affected populations. However, the efficie…
View article: Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing
Quantum Computing Enhanced Service Ecosystem for Simulation in Manufacturing Open
Quantum computing (QC) and machine learning (ML), taken individually or combined into quantum-assisted ML (QML), are ascending computing paradigms whose calculations come with huge potential for speedup, increase in precision, and resource…
View article: LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for Software Purchase
LLMRS: Unlocking Potentials of LLM-Based Recommender Systems for Software Purchase Open
Recommendation systems are ubiquitous, from Spotify playlist suggestions to Amazon product suggestions. Nevertheless, depending on the methodology or the dataset, these systems typically fail to capture user preferences and generate genera…
View article: FAIR privacy-preserving operation of large genomic variant calling format (VCF) data without download or installation.
FAIR privacy-preserving operation of large genomic variant calling format (VCF) data without download or installation. Open
Motivation: The proliferation of genetic testing and consumer genomics represents a logistic challenge to the personalized use of GWAS data in VCF format. Specifically, the challenge of retrieving target genetic variation from large compre…
View article: Anticipating Energy-driven Crises in Process Industry by AI-based Scenario Planning
Anticipating Energy-driven Crises in Process Industry by AI-based Scenario Planning Open
Power outages and fluctuations represent serious crisis situations in energy-intensive process industry like glass and paper production, where substances such as oil, gas, wood fibers or chemicals are processed. Power disruptions can inter…
View article: From Accountant to Software Developer – Transforming Employees with Robotic Process Automation (RPA)
From Accountant to Software Developer – Transforming Employees with Robotic Process Automation (RPA) Open
Constantly changing technologies affect not only the value types that companies generate but also their processes and their most important resource: employees. Such transitions referred to as digital transformation, mean that employees mus…
View article: Governance in Social Media Platforms of Minority Organizations
Governance in Social Media Platforms of Minority Organizations Open
Social media platforms can offer a sense of social inclusion and equitable access to information for minority groups, including minority immigrants to Western countries. However, even as they empower minority community-based organizations …
View article: PRScalc, a privacy-preserving calculation of raw polygenic risk scores from direct-to-consumer genomics data
PRScalc, a privacy-preserving calculation of raw polygenic risk scores from direct-to-consumer genomics data Open
Motivation Currently, the Polygenic Score (PGS) Catalog curates over 400 publications on over 500 traits corresponding to over 3000 polygenic risk scores (PRSs). To assess the feasibility of privately calculating the underlying multivariat…
View article: Anonymous Expression in an Online Community for Women in China
Anonymous Expression in an Online Community for Women in China Open
Gender issues faced by women can range from workplace harassment to domestic violence. While publicly disclosing these issues on social media can be hard, some may incline to express themselves anonymously. We approached such an anonymous …
View article: Impact of Covid-19 on the global orthopaedic research output
Impact of Covid-19 on the global orthopaedic research output Open
The pandemic led to a significant change in the clinical routine of many orthopaedic surgeons. To observe the impact of the pandemic on scientific output all studies published in the fields of orthopaedics listed in the Web of Science data…
View article: AI-based approach for improving the detection of blood doping in sports
AI-based approach for improving the detection of blood doping in sports Open
Sports officials around the world are facing incredible challenges due to the unfair means of practices performed by the athletes to improve their performance in the game. It includes the intake of hormonal based drugs or transfusion of bl…
View article: Requirements for Data Valuation Methods
Requirements for Data Valuation Methods Open
Data is considered the most significant intangible asset for the 21st century enterprise. Serving as key asset for ever-increasing digital transformation and entrepreneurship, they ensure economic success through empowering new technologie…
View article: Contract-based Data-Driven Decision Making in Federated Data Ecosystems
Contract-based Data-Driven Decision Making in Federated Data Ecosystems Open
Data-driven economies on the World Wide Web are based on coordination mechanisms for exhange and AI-based processing data assets provided by independent actors. Architectures for data-driven economies currently focus on the exchange of dat…
View article: Research Agenda for Basic Explainable AI.
Research Agenda for Basic Explainable AI. Open
Artificial Intelligence is increasingly driven by powerful but often opaque machine learning algorithms. These black-box algorithms achieve high performance but are not explainable to humans in a systematic and interpretable manner, a chal…