Author

Keyvan Amiri Elyasi

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#machine learning Preprint Sep 2026

On the Potential of Multi-Task Learning in Predictive Process Monitoring

The first comprehensive empirical study of MTL for PPM is presented, evaluating a variety of task combinations, neural architectures, and optimization methods and finding substantial improvements in next-activity prediction and inherent mitigation of class imbalance using MTL.

Lukas Kirchdorfer, Keyvan Amiri Elyasi, Heiner Stuckenschmidt · 0 citations