SS20.4
BARKING UP THE RIGHT TREE: EXPLAINABLE MACHINE LEARNING FOR PREDICTING PET HEALTH OUTCOMES
Christian Debes, Eike Mentzendorff, Johannes Wowra, Spryfox GmbH, Germany; Aliya McCullough, Fetch, Inc., United States; Audrey Ruple, Virginia Tech, United States
Session:
SS20: Industry Applications of Data Science Lecture
Track:
Special Sessions
Location:
Bellini
Presentation Time:
Thu, 11 Sep, 12:00 - 12:20 Italy Time (UTC +2)
Session Chair:
Christian Debes, Spryfox GmbH
Presentation
Discussion
Resources
No resources available.
Session SS20
SS20.1: A MULTI-CAMERA VISION-BASED APPROACH FOR FINE-GRAINED ASSEMBLY QUALITY CONTROL
Ali Nazeri, Shashank Mishra, Achim Wagner, Martin Ruskowski, Didier Stricker, Jason Rambach, German Research Center for Artificial Intelligence (DFKI), Germany
SS20.2: PARTICLESAM: SMALL PARTICLE SEGMENTATION FOR MATERIAL QUALITY MONITORING IN RECYCLING PROCESSES
Yu Zhou, Pelle Thielmann, Ayush Chamoli, Bruno Mirbach, Didier Stricker, Jason Rambach, German Research Center for Artificial Intelligence, DFKI, Germany; ,
SS20.3: A Scalable Hybrid Approach to Detecting Fraud with Machine Learning
Syrine Ben Abid, T-Systems International GmbH, Germany; Bernhard Fuchs, Günter Haberkorn, Deutsche Telekom Security GmbH, Germany; Kathrin Jepsen, Deutsche Telekom AG, Germany; Alexander Krampetz, Deutsche Telekom Security GmbH, Germany; Detlev Matthes, Deutsche Telekom IT GmbH, Germany
SS20.4: BARKING UP THE RIGHT TREE: EXPLAINABLE MACHINE LEARNING FOR PREDICTING PET HEALTH OUTCOMES
Christian Debes, Eike Mentzendorff, Johannes Wowra, Spryfox GmbH, Germany; Aliya McCullough, Fetch, Inc., United States; Audrey Ruple, Virginia Tech, United States
SS20.5: Agentic AI System for Data-Driven Question Answering Using SQL Generation with Large Language Models
Atacan Durmusoglu, Ming Zhang, Jessy Neves, Miguel Chin, Andreas Merentitis, OLX Group, Germany