Predicting Process Behaviour using Deep Learning

14 December 2016

Papers citing "Predicting Process Behaviour using Deep Learning"

50 / 83 papers shown

Title
On the Potential of Large Language Models to Solve Semantics-Aware Process Mining Tasks Adrian Rebmann Fabian David Schmidt Goran Glavaš Han van der Aa LRM 36 0 0 29 Apr 2025
Self-Explaining Neural Networks for Business Process Monitoring Shahaf Bassan Shlomit Gur Sergey Zeltyn Konstantinos Mavrogiorgos Ron Eliav Dimosthenis Kyriazis 49 0 0 23 Mar 2025
Generating the Traces You Need: A Conditional Generative Model for Process Mining Data Riccardo Graziosi M. Ronzani A. Buliga Chiara Di Francescomarino Francesco Folino Chiara Ghidini Francesca Meneghello Luigi Pontieri 23 0 0 04 Nov 2024
Evaluating the Ability of LLMs to Solve Semantics-Aware Process Mining Tasks Adrian Rebmann Fabian David Schmidt Goran Glavaš Han van der Aa LRM 22 5 0 02 Jul 2024
Recent Advances in Data-Driven Business Process Management Lars Ackermann Martin Käppel Laura Marcus Linda Moder Sebastian Dunzer ... Martin Matzner Stefanie Rinderle-Ma Maximilian Röglinger Stefan Schönig Axel Winkelmann AI4CE 27 3 0 03 Jun 2024
Machine learning in business process management: A systematic literature review Sven Weinzierl Sandra Zilker Sebastian Dunzer Martin Matzner 42 11 0 26 May 2024
Anomaly Correction of Business Processes Using Transformer Autoencoder Ziyou Gong X. Fang Ping Wu 25 0 0 16 Apr 2024
PGTNet: A Process Graph Transformer Network for Remaining Time Prediction of Business Process Instances Keyvan Amiri Elyasi Han van der Aa Heiner Stuckenschmidt AI4TS 43 3 0 09 Apr 2024
Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring Christopher Irwin Marco Dossena G. Leonardi Stefania Montani MedIm 38 0 0 13 Mar 2024
SNAP: Semantic Stories for Next Activity Prediction Alon Oved Segev Shlomov Sergey Zeltyn Nir Mashkif Avi Yaeli VLM 27 2 0 28 Jan 2024
PELP: Pioneer Event Log Prediction Using Sequence-to-Sequence Neural Networks Wenjun Zhou Artem Polyvyanyy James Bailey AI4TS 29 0 0 15 Dec 2023
Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction Ivan Donadello Jonghyeon Ko F. Maggi Jan Mendling Francesco Riva Matthias Weidlich 24 0 0 14 Dec 2023
A Discussion on Generalization in Next-Activity Prediction Luka Abb P. Pfeiffer Peter Fettke Jana-Rebecca Rehse AI4TS 15 2 0 18 Sep 2023
An Assessment of ChatGPT on Log Data Priyanka Mudgal Rita H. Wouhaybi LLMAG AI4MH 34 17 0 14 Sep 2023
Quantifying and Explaining Machine Learning Uncertainty in Predictive Process Monitoring: An Operations Research Perspective Nijat Mehdiyev Maxim Majlatow Peter Fettke 38 12 0 13 Apr 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 36 7 0 18 Jan 2023
Can recurrent neural networks learn process model structure? Jari Peeperkorn S. vanden Broucke Jochen De Weerdt 24 11 0 13 Dec 2022
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
Cost-efficient Auto-scaling of Container-based Elastic Processes Gerta Sheganaku Stefan Schulte P. Waibel Ingo Weber 6 16 0 14 Sep 2022
A Framework for Extracting and Encoding Features from Object-Centric Event Data Jan Niklas Adams Gyunam Park Sergej Levich Daniel Schuster Wil M.P. van der Aalst 41 17 0 02 Sep 2022
A machine learning approach to predict the structural and magnetic properties of Heusler alloy families S. Mitra Aquil Ahmad Sajib Biswas A. Das 9 14 0 07 Aug 2022
Predictive Object-Centric Process Monitoring T. Rohrer A. F. Ghahfarokhi Mohamed H. Behery G. Lakemeyer Wil M.P. van der Aalst 4 2 0 20 Jul 2022
Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors Jarne Vandenabeele Gilles Vermaut Jari Peeperkorn Jochen De Weerdt AI4TS 9 3 0 27 Jun 2022
Predictive Compliance Monitoring in Process-Aware Information Systems: State of the Art, Functionalities, Research Directions Stefanie Rinderle-Ma Karolin Winter Janik-Vasily Benzin 20 10 0 10 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 42 7 0 04 Apr 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
Counterfactual Explanations for Predictive Business Process Monitoring Tsung-Hao Huang Andreas Metzger Klaus Pohl 27 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 22 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
What Averages Do Not Tell -- Predicting Real Life Processes with Sequential Deep Learning István Ketykó F. Mannhardt Marwan Hassani B. V. Dongen AI4TS 13 8 0 19 Oct 2021
Critical Empirical Study on Black-box Explanations in AI Jean-Marie John-Mathews 6 6 0 29 Sep 2021
ProcK: Machine Learning for Knowledge-Intensive Processes Tobias Jacobs Jingyi Yu J. Gastinger T. Sztyler 9 1 0 10 Sep 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
Building Interpretable Models for Business Process Prediction using Shared and Specialised Attention Mechanisms B. Wickramanayake Zhipeng He Chun Ouyang Catarina Moreira Yue Xu Renuka Sindhgatta 16 25 0 03 Sep 2021
Extending LIME for Business Process Automation Sohini Upadhyay Vatche Isahagian Vinod Muthusamy Sadhana Kumaravel FAtt 10 4 0 09 Aug 2021
Masking Neural Networks Using Reachability Graphs to Predict Process Events Julian Theis H. Darabi 16 1 0 01 Aug 2021
DiCE4EL: Interpreting Process Predictions using a Milestone-Aware Counterfactual Approach Chih-Jou Hsieh Catarina Moreira Chun Ouyang 23 28 0 19 Jul 2021
Creating Unbiased Public Benchmark Datasets with Data Leakage Prevention for Predictive Process Monitoring Hans Weytjens Jochen De Weerdt 22 15 0 05 Jul 2021
Multivariate Business Process Representation Learning utilizing Gramian Angular Fields and Convolutional Neural Networks P. Pfeiffer Johannes Lahann Peter Fettke SSL 24 17 0 15 Jun 2021
Process Model Forecasting Using Time Series Analysis of Event Sequence Data Johannes De Smedt Anton Yeshchenko Artem Polyvyanyy Jochen De Weerdt Jan Mendling AI4TS 36 5 0 03 May 2021
Process Outcome Prediction: CNN vs. LSTM (with Attention) Hans Weytjens Jochen De Weerdt AI4TS 35 43 0 14 Apr 2021
Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs Martin Käppel Stefan Jablonski Stefan Schönig 16 10 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 systematic literature review on state-of-the-art deep learning methods for process prediction Dominic A. Neu Johannes Lahann Peter Fettke AI4CE 28 126 0 22 Jan 2021
Semi-supervised Gated Recurrent Neural Networks for Robotic Terrain Classification Ahmadreza Ahmadi T. Nygaard N. Kottege David Howard N. Hudson 10 10 0 24 Nov 2020
Predictive Process Model Monitoring using Recurrent Neural Networks Johannes De Smedt Jochen De Weerdt 25 0 0 05 Nov 2020
Deep Learning for Information Systems Research Sagar Samtani Hongyi Zhu Balaji Padmanabhan Yidong Chai Hsinchun Chen 15 1 0 07 Oct 2020