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D-TAIA: Domain-Aware LLM Adaptation for Multi-Task Predictive Process Monitoring
Sjoerd van Straten, Christine Jacob, Marwan Hassani
Predictive Process Monitoring (PPM) enables organizations to forecast future process behavior, such as the next activity and remaining time of ongoing cases. In practice, three con…
Efficient Online Continual Foundation Model Fine-Tuning for Predictive Process Monitoring
Sjoerd van Straten, Marwan Hassani
Predictive Process Monitoring (PPM) models are increasingly deployed in dynamic environments where concept drift causes the underlying process distribution to shift over time. Whil…
Chameleons do not Forget: Prompt-Based Online Continual Learning for Next Activity Prediction
Marwan Hassani, Tamara Verbeek, Sjoerd van Straten
Predictive process monitoring (PPM) focuses on predicting future process trajectories, including next activity predictions. This is crucial in dynamic environments where processes…
Enhancing Traffic Flow Prediction using Outlier-Weighted AutoEncoders: Handling Real-Time Changes
Himanshu Choudhary, Marwan Hassani
In today's urban landscape, traffic congestion poses a critical challenge, especially during outlier scenarios. These outliers can indicate abrupt traffic peaks, drops, or irregula…