3 citations · 8 across the 7 of their papers we have counts for
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cs.AI2023★ 2 cited
Towards eXplainable AI for Mobility Data Science
Anahid Jalali, Anita Graser, Clemens Heistracher
This paper presents our ongoing work towards XAI for Mobility Data Science applications, focusing on explainable models that can learn from dense trajectory data, such as GPS track…
cs.LG2023★ 1 cited
Federated Learning for Predictive Maintenance and Quality Inspection in Industrial Applications
Viktorija Pruckovskaja, Axel Weissenfeld, Clemens Heistracher +5
Data-driven machine learning is playing a crucial role in the advancements of Industry 4.0, specifically in enhancing predictive maintenance and quality inspection. Federated learn…