Predictive Process Monitoring
PulseAugur coverage of Predictive Process Monitoring — every cluster mentioning Predictive Process Monitoring across labs, papers, and developer communities, ranked by signal.
1 day(s) with sentiment data
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New method enhances deep learning explainability for process monitoring
Researchers have developed a new method to improve the explainability of deep learning models used in predictive process monitoring. The proposed technique addresses the computational complexity and loss of detail assoc…
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New GGATN model generates complete event sequences for predictive process monitoring
Researchers have developed a new neural network architecture called the Graph Grounded Cross Attention Transformer Neural Network (GGATN) for predictive process monitoring. This model aims to generate complete event seq…
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Simple argmax baseline matches LLMs in Next Activity Prediction benchmark
A new paper on arXiv benchmarks the performance of various models for Next Activity Prediction (NAP), a key component of predictive process monitoring. The study compares large language models (LLMs), Transformers, LSTM…