Marcello La Rosa

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Marlon DumasProfessor at University of Tartu | Chief Product Officer at ApromoreVerified email at ut.ee
Jan MendlingEinstein Professor, Department of Computer Science, Humboldt-Universität zu BerlinVerified email at hu-berlin.de
Arthur ter HofstedeQueensland University of TechnologyVerified email at qut.edu.au
Hajo A. ReijersProfessor of Computer Science, Utrecht University & Eindhoven University of TechnologyVerified email at uu.nl
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eVerified email at pads.rwth-aachen.de
Raffaele ConfortiDirector of Process Mining at DecisionsVerified email at decisions.com
Fabrizio MaggiAssociate Professor, Free University of Bozen-BolzanoVerified email at ut.ee
Artem PolyvyanyySchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Luciano García-BañuelosTecnologico de Monterrey, MexicoVerified email at tec.mx
Ilya VerenichSchool of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Remco DijkmanEindhoven University of TechnologyVerified email at tue.nl
Irene TeinemaaDeepMindVerified email at deepmind.com
Volodymyr LenoPhD student, School of Computing and Information Systems, University of MelbourneVerified email at student.unimelb.edu.au
Chun OuyangAssociate Professor, PhD, Queensland University of TechnologyVerified email at qut.edu.au
Abel Armas-CervantesSchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Alireza OstovarDecisionsVerified email at decisions.com
Flavia Maria SantoroUniversidade do Estado do Rio de JaneiroVerified email at ime.uerj.br
Hoang Nguyen (Bruce)School of Computing and Information Systems, University of MelbourneVerified email at unimelb.edu.au
Abderrahmane MAARADJIa.maaradji@gmail.comVerified email at ece.fr
Michael AdamsSenior Lecturer, Queensland University of TechnologyVerified email at qut.edu.au

Marcello La Rosa

Professor at University of Melbourne | Chief Executive Officer at Apromore

Verified email at unimelb.edu.au - Homepage

Process Mining Business Process Management Information Systems Business Intelligence bpm@unimelb


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fundamentals of business process management M Dumas, M La Rosa, J Mendling, HA Reijers Springer 1, 2, 2013	4550*	2013
Process mining manifesto W Van Der Aalst, A Adriansyah, AKA De Medeiros, F Arcieri, T Baier, ... Business Process Management Workshops: BPM 2011 International Workshops …, 2012	1922	2012
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	913	2018
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	618	2017
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	506	2018
Business process management: Don’t forget to improve the process! WMP Van Der Aalst, M La Rosa, FM Santoro Business & Information Systems Engineering 58, 1-6, 2016	407	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	359	2019
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	326	2008
APROMORE: An advanced process model repository M La Rosa, HA Reijers, WMP Van der Aalst, RM Dijkman, J Mendling, ... Expert Systems with Applications, 2010	318	2010
Configurable multi-perspective business process models M La Rosa, M Dumas, AHM Ter Hofstede, J Mendling Information Systems 36 (2), 313-340, 2011	304	2011
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	297	2013
Business process variability modeling: A survey ML Rosa, WMPVD Aalst, M Dumas, FP Milani ACM Computing Surveys (CSUR) 50 (1), 1-45, 2017	277	2017
Introduction to business process management M Dumas, M La Rosa, J Mendling, HA Reijers, M Dumas, M La Rosa, ... Fundamentals of business process management, 1-33, 2018	242	2018
Managing large collections of business process models—Current techniques and challenges R Dijkman, M La Rosa, HA Reijers Computers in Industry 63 (2), 91-97, 2012	239	2012
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	221	2016
Split miner: automated discovery of accurate and simple business process models from event logs A Augusto, R Conforti, M Dumas, M La Rosa, A Polyvyanyy Knowledge and Information Systems 59, 251-284, 2019	218	2019
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	204	2019
Questionnaire-based variability modeling for system configuration M La Rosa, WMP van der Aalst, M Dumas, AHM Ter Hofstede Software & Systems Modeling 8, 251-274, 2009	198	2009
A recommendation system for predicting risks across multiple business process instances R Conforti, M De Leoni, M La Rosa, WMP Van Der Aalst, ... Decision Support Systems 69, 1-19, 2015	194	2015
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	180	2011

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