Ilya Verenich
Ilya Verenich
School of Computing and Information Systems, University of Melbourne
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Cited by
Cited by
Predictive business process monitoring with LSTM neural networks
N Tax, I Verenich, M La Rosa, M Dumas
Advanced Information Systems Engineering: 29th International Conference …, 2017
Survey and cross-benchmark comparison of remaining time prediction methods in business process monitoring
I Verenich, M Dumas, ML Rosa, FM Maggi, I Teinemaa
ACM Transactions on Intelligent Systems and Technology (TIST) 10 (4), 1-34, 2019
Predictive business process monitoring via generative adversarial nets: the case of next event prediction
F Taymouri, ML Rosa, S Erfani, ZD Bozorgi, I Verenich
Business Process Management: 18th International Conference, BPM 2020 …, 2020
Complex symbolic sequence clustering and multiple classifiers for predictive process monitoring
I Verenich, M Dumas, M La Rosa, FM Maggi, C Di Francescomarino
Business Process Management Workshops: BPM 2015, 13th International …, 2016
Predicting process performance: A white‐box approach based on process models
I Verenich, M Dumas, M La Rosa, H Nguyen
Journal of Software: Evolution and Process 31 (6), e2170, 2019
White-box prediction of process performance indicators via flow analysis
I Verenich, H Nguyen, M La Rosa, M Dumas
Proceedings of the 2017 International Conference on Software and System …, 2017
Minimizing overprocessing waste in business processes via predictive activity ordering
I Verenich, M Dumas, M La Rosa, FM Maggi, C Di Francescomarino
Advanced Information Systems Engineering: 28th International Conference …, 2016
Nirdizati: A web-based tool for predictive process monitoring
K Jorbina, A Rozumnyi, I Verenich, C Di Francescomarino, ...
Proceedings of the BPM Demo Track and BPM Dissertation Award (CEUR Workshop …, 2017
A general framework for predictive business process monitoring
I Verenich
Proceedings of CAiSE 2016 Doctoral Consortium, 1-9, 2016
Explainable predictive monitoring of temporal measures of business processes
I Verenich
Queensland University of Technology, 2018
Predictive process monitoring in apromore
I Verenich, S Moškovski, S Raboczi, M Dumas, M La Rosa, FM Maggi
Information Systems in the Big Data Era: CAiSE Forum 2018, Tallinn, Estonia …, 2018
Tell me what’s ahead? predicting remaining activity sequences of business process instances
I Verenich, M Dumas, M La Rosa, FM Maggi, D Chasovskyi, A Rozumnyi
Combining propensity and influence models for product adoption prediction
I Verenich, R Kikas, M Dumas, D Melnikov
Proceedings of the 2015 IEEE/ACM International Conference on Advances in …, 2015
Планарные и координатные трассировщики на практике
ИЮ Веренич, ЮВ Лысенко
Вестник Южно-Уральского государственного университета. Серия: Компьютерные …, 2011
Predicting process performance: A white-box approach
I Verenich, M Dumas, M La Rosa, H Nguyen, AHM ter Hofstede
Predictive business process monitoring with LSTMs
N Tax, I Verenich, M La Rosa, M Dumas
Benelearn 2017: Proceedings of the Twenty-Sixth Benelux Conference on …, 0
A framework for crowdrating quality evaluation in the statistical machine translation
D Chasovskyi, I Verenich
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