Sjoerd Straten Van
PulseAugur coverage of Sjoerd Straten Van — every cluster mentioning Sjoerd Straten Van across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New self-supervised framework enhances process prediction with data augmentation
Researchers have developed SiamSA-PPM, a novel self-supervised framework designed to improve predictive process monitoring (PPM) in scenarios with limited labeled data. This framework utilizes Siamese learning combined …
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New framework enables continual fine-tuning of foundation models for predictive process monitoring
Researchers have introduced COMPASS, a novel framework designed for the online continual fine-tuning of foundation models (FMs) specifically for Predictive Process Monitoring (PPM). This approach addresses the cold-star…
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New D-TAIA framework adapts LLMs for predictive process monitoring
Researchers have developed D-TAIA, a new framework for adapting foundation models, particularly Large Language Models (LLMs), to multi-task Predictive Process Monitoring (PPM). This approach addresses challenges like da…