Ute Schmid
YOU?
Author Swipe
View article: The SME AI Experience Center: Overcoming AI Adoption Barriers for SMEs in Industrial Production
The SME AI Experience Center: Overcoming AI Adoption Barriers for SMEs in Industrial Production Open
The development of tools based on Artificial Intelligence (AI) provides significant potential to enhance industrial production, but many small and medium-sized enterprises (SMEs) in more rural areas, such as the study area Upper Franconia …
View article: Vertrauenswürdige Künstliche Intelligenz
Vertrauenswürdige Künstliche Intelligenz Open
View article: OmniPlantSeg: Species Agnostic 3D Point Cloud Organ Segmentation for High-Resolution Plant Phenotyping Across Modalities
OmniPlantSeg: Species Agnostic 3D Point Cloud Organ Segmentation for High-Resolution Plant Phenotyping Across Modalities Open
Accurate point cloud segmentation for plant organs is crucial for 3D plant phenotyping. Existing solutions are designed problem-specific with a focus on certain plant species or specified sensor-modalities for data acquisition. Furthermore…
View article: Ein Intelligentes Tutorensystem für Rekursive Programmierung
Ein Intelligentes Tutorensystem für Rekursive Programmierung Open
View article: Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis Open
Failure mode and effects analysis (FMEA) is an essential tool for mitigating potential failures, particularly during the ramp-up phases of new products. However, its effectiveness is often limited by the reasoning capabilities of the FMEA …
View article: USeR: A Web-based User Story eReviewer for Assisted Quality Optimizations
USeR: A Web-based User Story eReviewer for Assisted Quality Optimizations Open
User stories are widely applied for conveying requirements within agile software development teams. Multiple user story quality guidelines exist, but authors like Product Owners in industry projects frequently fail to write high-quality us…
View article: Ein Intelligentes Tutorensystem für Rekursive Programmierung
Ein Intelligentes Tutorensystem für Rekursive Programmierung Open
View article: Was alle über Künstliche Intelligenz wissen sollen und wie KI-bezogene Kompetenzen in der Schule entwickelt werden können
Was alle über Künstliche Intelligenz wissen sollen und wie KI-bezogene Kompetenzen in der Schule entwickelt werden können Open
Zusammenfassung Aufbauend auf dem Positionspapier der Gesellschaft für Informatik zur Bedeutung von Künstlicher Intelligenz (KI) in der Bildung wird im Beitrag die Notwendigkeit diskutiert, Schüler*innen sowie Lehrkräfte auf die Chancen un…
View article: Aussagenlogik
Aussagenlogik Open
View article: Ein Ausblick – Wie geht es weiter?
Ein Ausblick – Wie geht es weiter? Open
View article: Prädikatenlogik
Prädikatenlogik Open
View article: AI Literacy : why Basic Understanding of AI Methods is Relevant for Save, Efficient, and Reflected Use of AI-Tools
AI Literacy : why Basic Understanding of AI Methods is Relevant for Save, Efficient, and Reflected Use of AI-Tools Open
View article: The Impact of Peers, Mentors and Role Models on Successful PhD Studies
The Impact of Peers, Mentors and Role Models on Successful PhD Studies Open
This chapter discusses the importance of role models, mentors, and peers in supporting female students’ decision to pursue a PhD. Role models inspire individuals to emulate successful behaviours and set a standard for excellence, while men…
View article: Sprachverarbeitung: semantische Analyse
Sprachverarbeitung: semantische Analyse Open
View article: Grundlagen der Wissensrepräsentation
Grundlagen der Wissensrepräsentation Open
View article: Sprachverarbeitung: Syntaxanalyse
Sprachverarbeitung: Syntaxanalyse Open
View article: Aligning Generalisation Between Humans and Machines
Aligning Generalisation Between Humans and Machines Open
Recent advances in AI -- including generative approaches -- have resulted in technology that can support humans in scientific discovery and forming decisions, but may also disrupt democracies and target individuals. The responsible use of …
View article: Interactive Explainable Anomaly Detection for Industrial Settings
Interactive Explainable Anomaly Detection for Industrial Settings Open
Being able to recognise defects in industrial objects is a key element of quality assurance in production lines. Our research focuses on visual anomaly detection in RGB images. Although Convolutional Neural Networks (CNNs) achieve high acc…
View article: Explainable and interpretable machine learning and data mining
Explainable and interpretable machine learning and data mining Open
The growing number of applications of machine learning and data mining in many domains—from agriculture to business, education, industrial manufacturing, and medicine—gave rise to new requirements for how to inspect and control the learned…
View article: Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis
Knowledge graph enhanced retrieval-augmented generation for failure mode and effects analysis Open
Failure mode and effects analysis (FMEA) is an essential tool for mitigating potential failures, particularly during the ramp-up phases of new products. However, its effectiveness is often limited by the reasoning capabilities of the FMEA …
View article: CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations
CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual Explanations Open
Recent advancements in generative AI have introduced novel prospects and practical implementations. Especially diffusion models show their strength in generating diverse and, at the same time, realistic features, positioning them well for …
View article: BAMFORESTS: Bamberg Benchmark Forest Dataset of Individual Tree Crowns in Very-High-Resolution UAV Images
BAMFORESTS: Bamberg Benchmark Forest Dataset of Individual Tree Crowns in Very-High-Resolution UAV Images Open
The anthropogenic climate crisis results in the gradual loss of tree species in locations where they were previously able to grow. This leads to increasing workloads and requirements for foresters and arborists as they are forced to restru…
View article: Locally Testing Model Detections for Semantic Global Concepts
Locally Testing Model Detections for Semantic Global Concepts Open
Ensuring the quality of black-box Deep Neural Networks (DNNs) has become ever more significant, especially in safety-critical domains such as automated driving. While global concept encodings generally enable a user to test a model for a s…
View article: Project VoLL-KI
Project VoLL-KI Open
“Learning from Learners” (“Von Lernenden Lernen”, “VoLL-KI ” for short) is a is collaborative research project with the goal of creating a practical toolbox of instruments at different levels of abstraction to improve the learning experien…
View article: When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX
When a Relation Tells More Than a Concept: Exploring and Evaluating Classifier Decisions with CoReX Open
Explanations for Convolutional Neural Networks (CNNs) based on relevance of input pixels might be too unspecific to evaluate which and how input features impact model decisions. Especially in complex real-world domains like biology, the pr…
View article: Can humans teach machines to code?
Can humans teach machines to code? Open
The goal of inductive program synthesis is for a machine to automatically generate a program from user-supplied examples. A key underlying assumption is that humans can provide sufficient examples to teach a concept to a machine. To evalua…
View article: Knowledge Graph Enhanced Retrieval-Augmented Generation for Failure Mode and Effects Analysis
Knowledge Graph Enhanced Retrieval-Augmented Generation for Failure Mode and Effects Analysis Open
View article: Hybrid Explanatory Interactive Machine Learning for Medical Diagnosis
Hybrid Explanatory Interactive Machine Learning for Medical Diagnosis Open
View article: Trustworthy Artificial Intelligence: Comprehensible, Transparent and Correctable
Trustworthy Artificial Intelligence: Comprehensible, Transparent and Correctable Open
With the digital transformation, artificial intelligence (AI) applications are also finding their way into more and more areas of work and life. In particular, models learned from data are being used, which are mostly opaque black boxes. T…
View article: FairCaipi: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction
FairCaipi: A Combination of Explanatory Interactive and Fair Machine Learning for Human and Machine Bias Reduction Open
The rise of machine-learning applications in domains with critical end-user impact has led to a growing concern about the fairness of learned models, with the goal of avoiding biases that negatively impact specific demographic groups. Most…