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2020 – today
- 2020
[c10]Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani, Zahra Dasht Bozorgi
, Ilya Verenich:
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction. BPM 2020: 237-256- [i3]Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani, Zahra Dasht Bozorgi, Ilya Verenich:
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction. CoRR abs/2003.11268 (2020)
2010 – 2019
- 2019
- [j2]Ilya Verenich, Marlon Dumas, Marcello La Rosa, Hoang Nguyen:
Predicting process performance: A white-box approach based on process models. J. Softw. Evol. Process. 31(6) (2019) - [j1]Ilya Verenich, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Irene Teinemaa:
Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring. ACM Trans. Intell. Syst. Technol. 10(4): 34:1-34:34 (2019) - [c9]Ilya Verenich:
Explainable Predictive Monitoring of Temporal Measures of Business Processes. BPM (PhD/Demos) 2019: 26-30 - 2018
- [c8]Ilya Verenich, Stanislav Mõskovski, Simon Raboczi, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi:
Predictive Process Monitoring in Apromore. CAiSE Forum 2018: 244-253 - [i2]Ilya Verenich, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Irene Teinemaa:
Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring. CoRR abs/1805.02896 (2018) - 2017
- [c7]Kerwin Jorbina, Andrii Rozumnyi, Ilya Verenich, Chiara Di Francescomarino, Marlon Dumas, Chiara Ghidini, Fabrizio Maria Maggi, Marcello La Rosa, Simon Raboczi:
Nirdizati: A Web-Based Tool for Predictive Process Monitoring. BPM (Demos) 2017 - [c6]Niek Tax, Ilya Verenich, Marcello La Rosa, Marlon Dumas:
Predictive Business Process Monitoring with LSTM Neural Networks. CAiSE 2017: 477-492 - [c5]Ilya Verenich, Hoang Nguyen, Marcello La Rosa, Marlon Dumas:
White-box prediction of process performance indicators via flow analysis. ICSSP 2017: 85-94 - 2016
- [c4]Ilya Verenich:
A General Framework for Predictive Business Process Monitoring. CAiSE (Doctoral Consortium) 2016 - [c3]Ilya Verenich, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Chiara Di Francescomarino:
Minimizing Overprocessing Waste in Business Processes via Predictive Activity Ordering. CAiSE 2016: 186-202 - [i1]Niek Tax, Ilya Verenich, Marcello La Rosa, Marlon Dumas:
Predictive Business Process Monitoring with LSTM Neural Networks. CoRR abs/1612.02130 (2016) - 2015
- [c2]Ilya Verenich, Riivo Kikas, Marlon Dumas, Dmitri Melnikov:
Combining Propensity and Influence Models for Product Adoption Prediction. ASONAM 2015: 49-56 - [c1]Ilya Verenich, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Chiara Di Francescomarino:
Complex Symbolic Sequence Clustering and Multiple Classifiers for Predictive Process Monitoring. Business Process Management Workshops 2015: 218-229
Coauthor Index
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