Interactive Labeling of Scan Segmentations
Problem
Occupational fields
Machine Learning Engineer (m/w/d)
Data Science & Artificial Intelligence
Tech
Requirements
Agile Working
Regular Feedback Meetings
Goals
- analyzing the state-of-the-art of such segmentation tools
- exchange with the researchers at UniMA that created the training data-set regarding requirements and system evaluation
- development of an interactive labeling system as part of a design science research process
- train a ML classifier based on the existing training data
- (potentially) include more training data from free data-sets
- develop an interactive labeling tool that integrates the ML classifier with manual segmentation
- include novel interaction paradigms with the existing ML classifier into the tool (manually reviewing those instances in which the model was uncertain, retraining the model based on new user input, ...)
- writing a thesis document according to research group requirements & participation in our thesis colloquium
All levels welcome (no experience required)
Languages
English
German
Skill set
JavaScript
Python
Hypertext Markup Language
Cascading Style Sheets
About ISSD - KIT
The research group “Information Systems & Service Design” (ISSD) headed by Prof. Mädche focuses in research, education, and innovation on designing interactive intelligent systems. The research belongs to the Institute of Information Systems and Marketing (IISM) and is embedded into the Information Systems & Engineering group. ISSD is also part of the Karlsruhe Service Research Institute (KSRI). The research group is positioned at the intersection of Information Systems (german: Wirtschaftsinformatik) and Human-Computer Interaction (HCI). Our mission is to create impactful scientific knowledge for designing interactive intelligent systems that enable humans to perform activities more efficiently, effectively, and meaningful. We believe that delivering cutting-edge knowledge and inspiring education, as well as an ongoing dialog with the public need to go hand in hand to maximize the impact of our work in organizations and society. The group is organized in three research departments: Digital Experience & Participation, Intelligent Enterprise Systems, and Digital Service Design & Innovation. Current topics of research are Human-AI Interaction, Cognitive Interaction Technologies, Physiological Computing Systems, Interactive Business Intelligence & Analytics Systems, and Interactive Systems Engineering.
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