Auflistung nach Schlagwort "Image Classification"
1 - 2 von 2
Treffer pro Seite
Sortieroptionen
- TextdokumentApplying Concept-Based Models for Enhanced Safety Argumentation(Software Engineering 2025, 2025) Costa de Araujo, João Paulo; Balu, Balahari Vignesh; Reichmann, Eik; Kelly, Jessica; Kuegele, Stefan; Mata, Núria; Grunske, LarsIn this extended abstract we summarize our work on using Concept Bottleneck Models (CBMs) for an enhanced safety argumentation of vision-based Machine Learning (ML) perception components in safety critical systems. This paper has been published at the International Symposium on Software Reliability Engineering (ISRRE’24)
- KonferenzbeitragVirtual Reality, Eye Tracking and Machine Learning: Analysis of Learning Outcomes in Off-the-Shelve VR-Software(21. Fachtagung Bildungstechnologien (DELFI), 2023) Tümler, Johannes; Erazo Sanchez, Juan Enrique; Hänig, ChristianThe combination of Virtual Reality (VR) and eye tracking allows to analyze how students use the presented VR content for learning. Here, we propose a novel approach to analyze eye tracking data in VR, even if no access to the VR software source code is given. This proof-of-concept leverages image classification methods to identify objects that captured the students' attention in VR. The method allows analysis of individual learning strategies and correlate those to individual learning outcomes.