Fabrizio Maggi

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Marco MontaliFull Professor in Computer Engineering, Free University of Bozen-BolzanoEmail verificata su inf.unibz.it
Marlon DumasProfessor at University of Tartu | Chief Product Officer at ApromoreEmail verificata su ut.ee
Chiara Di FrancescomarinoUniversity of Trento - Trento, ItalyEmail verificata su unitn.it
Marcello La RosaProfessor at University of Melbourne | Chief Executive Officer at ApromoreEmail verificata su unimelb.edu.au
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eEmail verificata su pads.rwth-aachen.de
Andrea MarrellaAssociate Professor at Sapienza Università di Roma, ItalyEmail verificata su diag.uniroma1.it
Claudio Di CiccioUtrecht University, Department of Information and Computing SciencesEmail verificata su uu.nl
Marta CimitileUnitelma SapienzaEmail verificata su unitelma.it
Irene TeinemaaDeepMindEmail verificata su deepmind.com
Williams RizziMachine Learning Engineer at Nexoya | PhD in Computer ScienceEmail verificata su fbk.eu
Volodymyr LenoPhD student, School of Computing and Information Systems, University of MelbourneEmail verificata su student.unimelb.edu.au
Jan MendlingEinstein Professor, Department of Computer Science, Humboldt-Universität zu BerlinEmail verificata su hu-berlin.de
Giuseppe De GiacomoUniversity of Oxford & Sapienza Università di RomaEmail verificata su diag.uniroma1.it
Mario Luca BernardiUniversity of SannioEmail verificata su unisannio.it
Massimiliano de LeoniAssociate Professor of Computer Science, University of PadovaEmail verificata su math.unipd.it
Andrea BurattinTechnical University of DenmarkEmail verificata su dtu.dk
Fabio PatriziAssociate Professor, DIAG - Sapienza University of RomeEmail verificata su dis.uniroma1.it
Ilya VerenichSchool of Computing and Information Systems, University of MelbourneEmail verificata su unimelb.edu.au
Federico ChesaniResearcher, Computer Science, University of BolognaEmail verificata su unibo.it
Paola MelloProfessore di Informatica, Universita' di BolognaEmail verificata su unibo.it

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Fabrizio Maggi

Associate Professor, Free University of Bozen-Bolzano

Email verificata su ut.ee

Process Mining #unitartucs


Titolo Ordina per citazioni Ordina per anno Ordina per titolo	Citata da Citata da	Anno
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	2001	2012
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	533	2018
Predictive monitoring of business processes FM Maggi, C Di Francescomarino, M Dumas, C Ghidini Advanced Information Systems Engineering: 26th International Conference …, 2014	393	2014
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	389	2019
Monitoring business constraints with linear temporal logic: An approach based on colored automata FM Maggi, M Montali, M Westergaard, WMP Van Der Aalst Business Process Management: 9th International Conference, BPM 2011 …, 2011	292	2011
Compliance monitoring in business processes: Functionalities, application, and tool-support LT Ly, FM Maggi, M Montali, S Rinderle-Ma, WMP Van Der Aalst Information systems 54, 209-234, 2015	268	2015
Complex symbolic sequence encodings for predictive monitoring of business processes A Leontjeva, R Conforti, C Di Francescomarino, M Dumas, FM Maggi Business Process Management: 13th International Conference, BPM 2015 …, 2015	249	2015
User-guided discovery of declarative process models FM Maggi, AJ Mooij, WMP Van der Aalst 2011 IEEE symposium on computational intelligence and data mining (CIDM …, 2011	229	2011
Predictive process monitoring methods: Which one suits me best? C Di Francescomarino, C Ghidini, FM Maggi, F Milani International conference on business process management, 462-479, 2018	222	2018
Conformance checking based on multi-perspective declarative process models A Burattin, FM Maggi, A Sperduti Expert systems with applications 65, 194-211, 2016	220	2016
Clustering-based predictive process monitoring C Di Francescomarino, M Dumas, FM Maggi, I Teinemaa IEEE transactions on services computing 12 (6), 896-909, 2016	218	2016
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	217	2019
Efficient discovery of understandable declarative process models from event logs FM Maggi, RPJC Bose, WMP van der Aalst Advanced Information Systems Engineering: 24th International Conference …, 2012	210	2012
Declarative process mining in healthcare M Rovani, FM Maggi, M De Leoni, WMP Van Der Aalst Expert Systems with Applications 42 (23), 9236-9251, 2015	202	2015
Robotic process mining: vision and challenges V Leno, A Polyvyanyy, M Dumas, M La Rosa, FM Maggi Business & Information Systems Engineering 63, 301-314, 2021	190	2021
Smart technologies for long-term stress monitoring at work R Kocielnik, N Sidorova, FM Maggi, M Ouwerkerk, JHDM Westerink proceedings of the 26th IEEE international symposium on computer-based …, 2013	184	2013
Monitoring business constraints with the event calculus M Montali, FM Maggi, F Chesani, P Mello, WMP Aalst ACM transactions on intelligent systems and technology (TIST) 5 (1), 1-30, 2014	165	2014
Aligning event logs and declarative process models for conformance checking M De Leoni, FM Maggi, WMP van der Aalst Business Process Management: 10th International Conference, BPM 2012 …, 2012	141	2012
Intra and inter-case features in predictive process monitoring: A tale of two dimensions A Senderovich, C Di Francescomarino, C Ghidini, K Jorbina, FM Maggi Business Process Management: 15th International Conference, BPM 2017 …, 2017	139	2017
Predictive business process monitoring with structured and unstructured data I Teinemaa, M Dumas, FM Maggi, C Di Francescomarino Business Process Management: 14th International Conference, BPM 2016, Rio de …, 2016	138	2016

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