Predictive Business Process Monitoring with LSTM Neural Networks

7 December 2016

Papers citing "Predictive Business Process Monitoring with LSTM Neural Networks"

38 / 38 papers shown

Title
Context-Aware Prediction of User Engagement on Online Social Platforms Heinrich Peters Yozen Liu Francesco Barbieri Raiyan Abdul Baten S. C. Matz Maarten W. Bos 39 2 0 23 Oct 2023
Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach Mahmoud Shoush Marlon Dumas 39 1 0 13 Jul 2023
Tailoring Machine Learning for Process Mining Paolo Ceravolo Sylvio Barbon Junior Ernesto Damiani Wil M.P. van der Aalst AI4TS 21 6 0 17 Jun 2023
ProcessGPT: Transforming Business Process Management with Generative Artificial Intelligence Amin Beheshti Jian Yang Quan.Z Sheng B. Benatallah Fabio Casati Schahram Dustdar H. M. Nezhad Xuyun Zhang Shan Xue AI4CE 30 38 0 29 May 2023
A Survey on Event Prediction Methods from a Systems Perspective: Bringing Together Disparate Research Areas Janik-Vasily Benzin Stefanie Rinderle-Ma AI4TS 51 2 0 08 Feb 2023
Performance-Preserving Event Log Sampling for Predictive Monitoring M. Sani Mozhgan Vazifehdoostirani Gyunam Park Marco Pegoraro S. V. Zelst Wil M.P. van der Aalst 41 7 0 18 Jan 2023
Trace Encoding in Process Mining: a survey and benchmarking Sylvio Barbon Junior Paolo Ceravolo R. Oyamada G. Tavares AI4TS 36 20 0 05 Jan 2023
Explainable Artificial Intelligence for Improved Modeling of Processes Riza Velioglu Jan Philip Göpfert André Artelt Barbara Hammer AI4TS 22 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
Clustering-based Aggregations for Prediction in Event Streams Yorick Spenrath Marwan Hassani B. V. Dongen 16 0 0 18 Oct 2022
Defining Cases and Variants for Object-Centric Event Data Jan Niklas Adams Daniel Schuster S. Schmitz G. Schuh Wil M.P. van der Aalst 17 21 0 05 Aug 2022
Learning Uncertainty with Artificial Neural Networks for Improved Predictive Process Monitoring Hans Weytjens Jochen De Weerdt 21 17 0 13 Jun 2022
Goal-Oriented Next Best Activity Recommendation using Reinforcement Learning Prerna Agarwal Avani Gupta Renuka Sindhgatta Sampath Dechu 19 5 0 06 May 2022
Event Log Sampling for Predictive Monitoring M. Sani Mozhgan Vazifehdoostirani Gyunam Park Marco Pegoraro S. V. Zelst Wil M.P. van der Aalst 45 7 0 04 Apr 2022
Explainability in Process Outcome Prediction: Guidelines to Obtain Interpretable and Faithful Models Alexander Stevens Johannes De Smedt XAI FaML 22 12 0 30 Mar 2022
Object-centric Process Predictive Analytics Riccardo Galanti M. Leoni Nicoló Navarin Alan Marazzi 21 21 0 05 Mar 2022
Counterfactual Explanations for Predictive Business Process Monitoring Tsung-Hao Huang Andreas Metzger Klaus Pohl 32 19 0 24 Feb 2022
Can deep neural networks learn process model structure? An assessment framework and analysis Jari Peeperkorn S. vanden Broucke Jochen De Weerdt 32 7 0 24 Feb 2022
Explainable Predictive Process Monitoring: A User Evaluation Williams Rizzi M. Comuzzi Chiara Di Francescomarino Chiara Ghidini Suhwan Lee F. Maggi Alexander Nolte FaML XAI 27 8 0 15 Feb 2022
Embedding Graph Convolutional Networks in Recurrent Neural Networks for Predictive Monitoring Efrén Rama-Maneiro J. Vidal Manuel Lama GNN 22 15 0 17 Dec 2021
How do I update my model? On the resilience of Predictive Process Monitoring models to change Williams Rizzi1 Chiara Di Francescomarino Chiara Ghidini F. Maggi 24 18 0 08 Sep 2021
Learning Uncertainty with Artificial Neural Networks for Improved Remaining Time Prediction of Business Processes Hans Weytjens Jochen De Weerdt BDL 35 8 0 12 May 2021
Process Outcome Prediction: CNN vs. LSTM (with Attention) Hans Weytjens Jochen De Weerdt AI4TS 35 43 0 14 Apr 2021
ProcessTransformer: Predictive Business Process Monitoring with Transformer Network Zaharah 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
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences Farbod Taymouri M. Rosa S. Erfani 27 25 0 15 Feb 2021
A Comparison of Deep-Learning Methods for Analysing and Predicting Business Processes Ishwar Venugopal Jessica Töllich Michael Fairbank A. Scherp 26 30 0 11 Feb 2021
Deep Learning for Predictive Business Process Monitoring: Review and Benchmark Efrén Rama-Maneiro J. Vidal Manuel Lama 19 74 0 24 Sep 2020
Local Post-Hoc Explanations for Predictive Process Monitoring in Manufacturing Nijat Mehdiyev Peter Fettke 16 11 0 22 Sep 2020
Explainable Artificial Intelligence for Process Mining: A General Overview and Application of a Novel Local Explanation Approach for Predictive Process Monitoring Nijat Mehdiyev Peter Fettke AI4TS 25 55 0 04 Sep 2020
Explainable Predictive Process Monitoring Musabir Musabayli F. Maggi Williams Rizzi Josep Carmona Chiara Di Francescomarino 19 60 0 04 Aug 2020
From Robotic Process Automation to Intelligent Process Automation: Emerging Trends Tathagata Chakraborti Vatche Isahagian Rania Y. Khalaf Y. Khazaeni Vinod Muthusamy Sadhana Kumaravel Merve Unuvar AI4CE 30 43 0 27 Jul 2020
Cause vs. Effect in Context-Sensitive Prediction of Business Process Instances Jens Brunk M. Stierle Leon Papke K. Revoredo Martin Matzner J. Becker 14 22 0 15 Jul 2020
An Interdisciplinary Comparison of Sequence Modeling Methods for Next-Element Prediction Niek Tax Irene Teinemaa S. V. Zelst 14 60 0 31 Oct 2018
Classifying Process Instances Using Recurrent Neural Networks Markku Hinkka Teemu Lehto Keijo Heljanko Alexander Jung 16 35 0 16 Sep 2018
Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring I. Verenich Marlon Dumas M. Rosa F. Maggi Irene Teinemaa AI4TS 12 147 0 08 May 2018
LSTM Networks for Data-Aware Remaining Time Prediction of Business Process Instances Nicoló Navarin B. Vincenzi Mirko Polato A. Sperduti AI4TS 17 89 0 10 Nov 2017
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark Irene Teinemaa Marlon Dumas M. Rosa F. Maggi 11 181 0 21 Jul 2017