Author

De Rosa Marcelo

School of Computing and Information Systems, University of Melbourne - Cited by 16,085 - Process Mining - Business Process Management - Information Systems - Business Intelligence - bpm@unimelb

Biography

De Rosa Marcelo belongs from the Department of Nephrology, University of Buenos Aires, Argentina. He specialises in the fields of Nephrology,  Health , Innate Immunity, life biology. He published more than 10 articles in different magazines and scientific journals. 
Title
Cited by
Year
Robotic process mining: vision and challenges
V Leno, A Polyvyanyy, M Dumas, M La Rosa, FM MaggiBusiness & Information Systems Engineering 63, 301-314, 2021202
116
2021
Business process variant analysis: Survey and classification
F Taymouri, M La Rosa, M Dumas, FM MaggiKnowledge-Based Systems 211, 106557, 2021202
64
2021
Seven paradoxes of business process management in a hyper-connected world
D Beverungen, JCAM Buijs, J Becker, C Di Ciccio, WMP van der Aalst, ...Business & Information Systems Engineering , 145-156, 2021202
63
2021
Process mining meets causal machine learning: Discovering causal rules from event logs
ZD Bozorgi, I Teinemaa, M Dumas, M La Rosa, A Polyvyanyy2020 2nd International Conference on Process Mining (ICPM), 129-136, 2020202
43
2020
Opportunities and challenges for process mining in organizations: results of a Delphi study
N Martin, DA Fischer, GD Kerpedzhiev, K Goel, SJJ Leemans, ...Business & Information Systems Engineering 63, 511-527, 2021202
43
2021
Identifying candidate routines for robotic process automation from unsegmented UI logs
V Leno, A Augusto, M Dumas, M La Rosa, FM Maggi, A Polyvyanyy2020 2nd International Conference on Process Mining (ICPM), 153-160, 2020202
38
2020
Robust drift characterization from event streams of business processes
A Ostovar, SJJ Leemans, ML RosaACM Transactions on Knowledge Discovery from Data (TKDD) 14 (3), 1-57, 2020202
34
2020
Prescriptive process monitoring for cost-aware cycle time reduction
ZD Bozorgi, I Teinemaa, M Dumas, M La Rosa, A Polyvyanyy2021 3rd international conference on process mining (ICPM), 96-103, 2021202
33
2021
AI-augmented business process management systems: a research manifesto
M Dumas, F Fournier, L Limonad, A Marrella, M Montali, JR Rehse, ...ACM Transactions on Management Information Systems 14 (1), 1-19, 2023202
28
2023
Measuring fitness and precision of automatically discovered process models: a principled and scalable approach
A Augusto, A Armas-Cervantes, R Conforti, M Dumas, M La RosaIEEE Transactions on Knowledge and Data Engineering 34 (4), 1870-1888, 2020202
22
2020
Detection and removal of infrequent behavior from event streams of business processes
SJ van Zelst, MF Sani, A Ostovar, R Conforti, M La RosaInformation Systems 90, 101451,
20
2020
Scalable alignment of process models and event logs: An approach based on automata and s-components
D Reißner, A Armas-Cervantes, R Conforti, M Dumas, D Fahland, ...Information Systems 94, 101561, 2020202
17
2020
Grundlagen des Geschäftsprozessmanagements
M Dumas, M La Rosa, J Mendling, HA ReijersSpringer, 2021202
14
2021
A deep adversarial model for suffix and remaining time prediction of event sequences
F Taymouri, M La Rosa, SM ErfaniProceedings of the 2021 SIAM International Conference on Data Mining (SDM …, 2021202
13
2021
Encoder-decoder generative adversarial nets for suffix generation and remaining time prediction of business process models
F Taymouri, M La RosaarXiv preprint arXiv:2007.16030, 2020202
9
2020
A framework for estimating simplicity of automatically discovered process models based on structural and behavioral characteristics
A Kalenkova, A Polyvyanyy, M La RosaInternational Conference on Business Process Management, 129-146, 2020202
8
2020
Discovering data transfer routines from user interaction logs
V Leno, A Augusto, M Dumas, M La Rosa, FM Maggi, A PolyvyanyyInformation Systems 107, 101916, 2022202
8
2022
Automated repair of process models using non-local constraints
A Kalenkova, J Carmona, A Polyvyanyy, M La RosaInternational Conference on Applications and Theory of Petri Nets and …, 2020202
5
2020
Automated discovery of process models with true concurrency and inclusive choices
A Augusto, M Dumas, M La RosaProcess Mining Workshops: ICPM 2020 International Workshops, Padua, Italy …, 2021202
5
2021
Optimization framework for DFG-based automated process discovery approaches
A Augusto, M Dumas, M La Rosa, SJJ Leemans, SKLM vanden BrouckeSoftware and Systems Modeling, 1-26, 2021202
4
2021

Referred From: https://scholar.google.com/citations?user=RTrK8csAAAAJ&hl=en

Cited by
Citations 16085
h-index 55
i10-index 135
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