Predicting Process Behaviour using Deep Learning

14 December 2016

Papers citing "Predicting Process Behaviour using Deep Learning"

33 / 83 papers shown

Title
Time Matters: Time-Aware LSTMs for Predictive Business Process Monitoring A. Nguyen Srijeet Chatterjee Sven Weinzierl Leo Schwinn Martin Matzner Bjoern M. Eskofier AI4TS 11 23 0 02 Oct 2020
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 18 11 0 22 Sep 2020
Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning Manuel Camargo Marlon Dumas Oscar González Rojas 12 25 0 08 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
An empirical investigation of different classifiers, encoding and ensemble schemes for next event prediction using business process event logs Bayu Adhi Tama M. Comuzzi Jonghyeon Ko 37 11 0 24 Aug 2020
XNAP: Making LSTM-based Next Activity Predictions Explainable by Using LRP Sven Weinzierl Sandra Zilker Jens Brunk K. Revoredo Martin Matzner J. Becker 28 26 0 18 Aug 2020
A Technique for Determining Relevance Scores of Process Activities using Graph-based Neural Networks M. Stierle Sven Weinzierl Maximilian Harl Martin Matzner 13 16 0 07 Aug 2020
Encoder-Decoder Generative Adversarial Nets for Suffix Generation and Remaining Time Prediction of Business Process Models Farbod Taymouri M. Rosa GAN 9 8 0 30 Jul 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
An empirical comparison of deep-neural-network architectures for next activity prediction using context-enriched process event logs Sven Weinzierl Sandra Zilker Jens Brunk Kate Revoredo A. Nguyen Martin Matzner Jörg Becker Björn Eskofier 22 19 0 03 May 2020
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction Farbod Taymouri M. Rosa S. Erfani Z. Bozorgi I. Verenich GAN AAML 9 86 0 25 Mar 2020
Comprehensive Review of Deep Reinforcement Learning Methods and Applications in Economics Amir H. Mosavi Pedram Ghamisi Yaser Faghan Puhong Duan OffRL 27 152 0 21 Mar 2020
AI Trust in business processes: The need for process-aware explanations Steve T. K. Jan Vatche Isahagian Vinod Muthusamy 9 23 0 21 Jan 2020
Exploring Interpretability for Predictive Process Analytics Renuka Sindhgatta Chun Ouyang Catarina Moreira 10 2 0 22 Dec 2019
Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences Mathias Kraus Stefan Feuerriegel 14 110 0 11 Jul 2019
Specification-Driven Predictive Business Process Monitoring Ario Santoso Michael Felderer AI4TS 6 4 0 20 Apr 2019
Exploiting Event Log Event Attributes in RNN Based Prediction Markku Hinkka Teemu Lehto Keijo Heljanko 17 28 0 15 Apr 2019
Decay Replay Mining to Predict Next Process Events Julian Theis H. Darabi AI4TS 11 1 0 12 Mar 2019
BINet: Multi-perspective Business Process Anomaly Classification Timo Nolle Stefan Luettgen Alexander Seeliger M. Mühlhäuser AI4TS 32 68 0 08 Feb 2019
An Interdisciplinary Comparison of Sequence Modeling Methods for Next-Element Prediction Niek Tax Irene Teinemaa S. V. Zelst 17 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
Putting Question-Answering Systems into Practice: Transfer Learning for Efficient Domain Customization Bernhard Kratzwald Stefan Feuerriegel 36 236 0 19 Apr 2018
Incremental Predictive Process Monitoring: How to Deal with the Variability of Real Environments Chiara Di Francescomarino Chiara Ghidini F. Maggi Williams Rizzi Cosimo Persia 9 6 0 11 Apr 2018
Predictive Process Monitoring Methods: Which One Suits Me Best? Chiara Di Francescomarino Chiara Ghidini F. Maggi Fredrik P. Milani 11 146 0 06 Apr 2018
Specification-Driven Multi-Perspective Predictive Business Process Monitoring (Extended Version) Ario Santoso 8 6 0 02 Apr 2018
DeepProcess: Supporting business process execution using a MANN-based recommender system Asjad M. Khan Hung Le Kien Do T. Tran A. Ghose K. Dam Renuka Sindhgatta BDL HAI 16 11 0 03 Feb 2018
Event-based Failure Prediction in Distributed Business Processes M. Borkowski W. Fdhila Matteo Nardelli Stefanie Rinderle-Ma Stefan Schulte 9 48 0 22 Dec 2017
Temporal Stability in Predictive Process Monitoring Irene Teinemaa Marlon Dumas A. Leontjeva F. Maggi 9 55 0 12 Dec 2017
Decision support from financial disclosures with deep neural networks and transfer learning Mathias Kraus Stefan Feuerriegel AIFin 38 261 0 11 Oct 2017
Structural Feature Selection for Event Logs Markku Hinkka Teemu Lehto Keijo Heljanko Alexander Jung 14 12 0 08 Oct 2017
XES Tensorflow - Process Prediction using the Tensorflow Deep-Learning Framework Joerg Evermann Jana-Rebecca Rehse Peter Fettke 19 13 0 03 May 2017