Deep Learning for Predictive Business Process Monitoring: Review and Benchmark

24 September 2020

Papers citing "Deep Learning for Predictive Business Process Monitoring: Review and Benchmark"

8 / 8 papers shown

Title
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas Janik-Vasily Benzin Stefanie Rinderle-Ma AI4TS 43 2 0 08 Feb 2023
Trace Encoding in Process Mining: a survey and benchmarking Sylvio Barbon Junior Paolo Ceravolo R. Oyamada G. Tavares AI4TS 31 20 0 05 Jan 2023
Explainable Artificial Intelligence for Improved Modeling of Processes Riza Velioglu Jan Philip Göpfert André Artelt Barbara Hammer AI4TS 14 4 0 01 Dec 2022
Encoder-Decoder Model for Suffix Prediction in Predictive Monitoring Efrén Rama-Maneiro Pablo Monteagudo-Lago J. Vidal Manuel Lama 35 1 0 29 Nov 2022
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring Efrén Rama-Maneiro J. Vidal Manuel Lama GNN 19 15 0 17 Dec 2021
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network Z. Bukhsh Aaqib Saeed R. Dijkman AI4TS 4 45 0 01 Apr 2021
Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning Manuel Camargo Marlon Dumas Oscar González Rojas 11 18 0 22 Mar 2021
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,925 0 17 Aug 2015