Fabrizio Maggi

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	Toate	Din 2020
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Marco MontaliFull Professor in Computer Engineering, Free University of Bozen-BolzanoAdresă de e-mail confirmată pe inf.unibz.it
Marlon DumasProfessor at University of Tartu | Chief Product Officer at ApromoreAdresă de e-mail confirmată pe ut.ee
Chiara Di FrancescomarinoUniversity of Trento - Trento, ItalyAdresă de e-mail confirmată pe unitn.it
Marcello La RosaProfessor at University of Melbourne | Chief Executive Officer at ApromoreAdresă de e-mail confirmată pe unimelb.edu.au
Wil van der AalstProfessor of Process and Data Science, RWTH Aachen University || Celonis || Fraunhofer FIT || TU/eAdresă de e-mail confirmată pe pads.rwth-aachen.de
Andrea MarrellaAssociate Professor at Sapienza Università di Roma, ItalyAdresă de e-mail confirmată pe diag.uniroma1.it
Claudio Di CiccioUtrecht University, Department of Information and Computing SciencesAdresă de e-mail confirmată pe uu.nl
Marta CimitileUnitelma SapienzaAdresă de e-mail confirmată pe unitelma.it
Irene TeinemaaDeepMindAdresă de e-mail confirmată pe deepmind.com
Williams RizziMachine Learning Engineer at Nexoya | PhD in Computer ScienceAdresă de e-mail confirmată pe fbk.eu
Volodymyr LenoPhD student, School of Computing and Information Systems, University of MelbourneAdresă de e-mail confirmată pe student.unimelb.edu.au
Jan MendlingEinstein Professor, Department of Computer Science, Humboldt-Universität zu BerlinAdresă de e-mail confirmată pe hu-berlin.de
Giuseppe De GiacomoUniversity of Oxford & Sapienza Università di RomaAdresă de e-mail confirmată pe diag.uniroma1.it
Mario Luca BernardiUniversity of SannioAdresă de e-mail confirmată pe unisannio.it
Massimiliano de LeoniAssociate Professor of Computer Science, University of PadovaAdresă de e-mail confirmată pe math.unipd.it
Andrea BurattinTechnical University of DenmarkAdresă de e-mail confirmată pe dtu.dk
Fabio PatriziAssociate Professor, DIAG - Sapienza University of RomeAdresă de e-mail confirmată pe dis.uniroma1.it
Ilya VerenichSchool of Computing and Information Systems, University of MelbourneAdresă de e-mail confirmată pe unimelb.edu.au
Federico ChesaniResearcher, Computer Science, University of BolognaAdresă de e-mail confirmată pe unibo.it
Paola MelloProfessore di Informatica, Universita' di BolognaAdresă de e-mail confirmată pe unibo.it

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Fabrizio Maggi

Associate Professor, Free University of Bozen-Bolzano

Adresă de e-mail confirmată pe ut.ee

Process Mining #unitartucs


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	2009	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	547	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	392	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	293	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	271	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	248	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	235	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	227	2018
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
Conformance checking based on multi-perspective declarative process models A Burattin, FM Maggi, A Sperduti Expert systems with applications 65, 194-211, 2016	217	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	213	2016
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	212	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	208	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	186	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	185	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	159	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
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	137	2016
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	136	2017

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