Process Outcome Prediction: CNN vs. LSTM (with Attention)

14 April 2021

Papers citing "Process Outcome Prediction: CNN vs. LSTM (with Attention)"

7 / 7 papers shown

Title
Spatio-Temporal Graph Convolutional Networks: Optimised Temporal Architecture Edward Turner GNN 38 1 0 14 Jan 2025
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas Janik-Vasily Benzin Stefanie Rinderle-Ma AI4TS 46 2 0 08 Feb 2023
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring Hans Weytjens Jochen De Weerdt 19 17 0 13 Jun 2022
Explainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful Models Alexander Stevens Johannes De Smedt XAI FaML 17 12 0 30 Mar 2022
Coalitional Bayesian Autoencoders -- Towards explainable unsupervised deep learning Bang Xiang Yong Alexandra Brintrup 21 6 0 19 Oct 2021
Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes Hans Weytjens Jochen De Weerdt BDL 27 8 0 12 May 2021
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark Efrén Rama-Maneiro J. Vidal Manuel Lama 11 74 0 24 Sep 2020