Marcello La Rosa
Marcello La Rosa
School of Computing and Information Systems, University of Melbourne
Email confirmado em - Página inicial
Citado por
Citado por
Fundamentals of business process management
M Dumas, M La Rosa, J Mendling, HA Reijers
Springer 1, 2, 2013
Process mining manifesto
W Aalst, A Adriansyah, AKA Medeiros, F Arcieri, T Baier, T Blickle, ...
International conference on business process management, 169-194, 2011
Blockchains for business process management-challenges and opportunities
J Mendling, I Weber, WVD Aalst, JV Brocke, C Cabanillas, F Daniel, ...
ACM Transactions on Management Information Systems (TMIS) 9 (1), 1-16, 2018
Predictive business process monitoring with LSTM neural networks
N Tax, I Verenich, ML Rosa, M Dumas
International Conference on Advanced Information Systems Engineering, 477-492, 2017
Configurable workflow models
F Gottschalk, WMP Van Der Aalst, MH Jansen-Vullers, M La Rosa
International Journal of Cooperative Information Systems 17 (02), 177-221, 2008
Automated discovery of process models from event logs: review and benchmark
A Augusto, R Conforti, M Dumas, M La Rosa, FM Maggi, A Marrella, ...
IEEE transactions on knowledge and data engineering 31 (4), 686-705, 2018
Business process model merging: An approach to business process consolidation
M La Rosa, M Dumas, R Uba, R Dijkman
ACM Transactions on Software Engineering and Methodology (TOSEM) 22 (2), 1-42, 2013
APROMORE: An advanced process model repository
M La Rosa, HA Reijers, WMP Van der Aalst, RM Dijkman, J Mendling, ...
Expert Systems with Applications, 2010
Configurable multi-perspective business process models
M La Rosa, M Dumas, AHM Ter Hofstede, J Mendling
Information Systems 36 (2), 313-340, 2011
Business process management
WMP Van Der Aalst, M La Rosa, FM Santoro
Business & Information Systems Engineering 58 (1), 1-6, 2016
Managing large collections of business process models-current techniques and challenges
R Dijkman, M La Rosa, H Reijers
Computers in Industry 63 (2), 91-97, 2012
Business process variability modeling: A survey
ML Rosa, WMPVD Aalst, M Dumas, FP Milani
ACM Computing Surveys (CSUR) 50 (1), 1-45, 2017
Questionnaire-based variability modeling for system configuration
M La Rosa, WMP van der Aalst, M Dumas, AHM Ter Hofstede
Software & Systems Modeling 8 (2), 251-274, 2009
Filtering out infrequent behavior from business process event logs
R Conforti, M La Rosa, AHM ter Hofstede
IEEE Transactions on Knowledge and Data Engineering 29 (2), 300-314, 2016
Outcome-oriented predictive process monitoring: review and benchmark
I Teinemaa, M Dumas, ML Rosa, FM Maggi
ACM Transactions on Knowledge Discovery from Data (TKDD) 13 (2), 1-57, 2019
Managing process model complexity via concrete syntax modifications
M La Rosa, AHM Ter Hofstede, P Wohed, HA Reijers, J Mendling, ...
IEEE Transactions on Industrial Informatics 7 (2), 255-265, 2011
A recommendation system for predicting risks across multiple business process instances
R Conforti, M de Leoni, M La Rosa, WMP van der Aalst, AHM ter Hofstede
Decision Support Systems 69, 1-19, 2015
Managing process model complexity via abstract syntax modifications
M La Rosa, P Wohed, J Mendling, AHM Ter Hofstede, HA Reijers, ...
IEEE Transactions on Industrial Informatics 7 (4), 614-629, 2011
Preserving correctness during business process model configuration
WMP van der Aalst, M Dumas, F Gottschalk, AHM Ter Hofstede, ML Rosa, ...
Formal Aspects of Computing 22 (3), 459-482, 2010
Merging business process models
ML Rosa, M Dumas, R Uba, R Dijkman
OTM Confederated International Conferences" On the Move to Meaningful …, 2010
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