Claudio Di Ciccio

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Jan MendlingEinstein Professor, Department of Computer Science, Humboldt-Universität zu BerlinVerified email at hu-berlin.de
Massimo MecellaProfessor in Engineering in Computer Science, Sapienza Università di Roma, ItalyVerified email at dis.uniroma1.it
Fabrizio MaggiAssociate Professor, Free University of Bozen-BolzanoVerified email at ut.ee
Andrea MarrellaAssociate Professor at Sapienza Università di Roma, ItalyVerified email at diag.uniroma1.it
Alessio CecconiEuropean Commission - Joint Research CentreVerified email at ec.europa.eu
Ingo WeberProfessor at TU Munich (Computer Science), Director at FraunhoferVerified email at tum.de
Mathias WeskeProfessor of Computer Science, Hasso Plattner Institute, University of PotsdamVerified email at hpi.uni-potsdam.de
Artem PolyvyanyySchool of Computing and Information Systems, The University of MelbourneVerified email at unimelb.edu.au
Cristina CabanillasPhD, University of SevilleVerified email at us.es
Matthias WeidlichHumboldt-Universität zu BerlinVerified email at hu-berlin.de
Marco MontaliFull Professor, Free University of Bozen-BolzanoVerified email at inf.unibz.it
Luciano García-BañuelosTecnologico de Monterrey, MexicoVerified email at tec.mx
Stefan SchönigAssociate Professor for Information Systems, University of RegensburgVerified email at ur.de
Johannes PrescherVienna University of Economics and Business - Wirtschaftsuniversität Wien (WU)Verified email at wu.ac.at
Anton YeshchenkoVienna University of Economics and Business (WU Vienna)Verified email at wu.ac.at
Alessandro RussoISTC-CNRVerified email at istc.cnr.it
Hajo A. ReijersProfessor of Computer Science, Utrecht University & Eindhoven University of TechnologyVerified email at uu.nl
Giovanni MeroniDTU ComputeVerified email at dtu.dk
Hye-Young PaikUniversity of New South WalesVerified email at unsw.edu.au
Suhrid SatyalVerified email at faethm.ai

Claudio Di Ciccio

Utrecht University, Department of Information and Computing Sciences

Verified email at uu.nl - Homepage

Process mining automated reasoning in AI blockchain technologies declarative modelling #bpm@uu


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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	780	2018
Knowledge-intensive processes: Characteristics, requirements and analysis of contemporary approaches C Di Ciccio, A Marrella, A Russo Journal on Data Semantics 4 (1), 29-57, 2015	385	2015
Process mining for healthcare: Characteristics and challenges J Munoz-Gama, N Martin, C Fernandez-Llatas, OA Johnson, M Sepúlveda, ... Journal of Biomedical Informatics 127, 103994, 2022	123	2022
The Internet of Things meets business process management: a manifesto C Janiesch, A Koschmider, M Mecella, B Weber, A Burattin, C Di Ciccio, ... IEEE Systems, Man, and Cybernetics Magazine 6 (4), 34-44, 2020	117	2020
On the Discovery of Declarative Control Flows for Artful Processes C Di Ciccio, M Mecella ACM Transactions on Management Information Systems 5 (4), 24:1--24:37, 2015	111	2015
The internet-of-things meets business process management: mutual benefits and challenges C Janiesch, A Koschmider, M Mecella, B Weber, A Burattin, CD Ciccio, ... CoRR, 2017	109	2017
Resolving inconsistencies and redundancies in declarative process models C Di Ciccio, FM Maggi, M Montali, J Mendling Information Systems 64, 425-446, 2017	90	2017
Foundational oracle patterns: Connecting blockchain to the off-chain world R Mühlberger, S Bachhofner, E Castelló Ferrer, C Di Ciccio, I Weber, ... Business Process Management: Blockchain and Robotic Process Automation Forum …, 2020	88	2020
Knowledge-intensive Processes: An Overview of Contemporary Approaches C Di Ciccio, A Marrella, A Russo Knowledge-intensive Business Processes, 33, 2012	86	2012
Blockchain support for collaborative business processes C Di Ciccio, A Cecconi, M Dumas, L García-Bañuelos, O López-Pintado, ... Informatik Spektrum 42, 182-190, 2019	83	2019
Discovery of multi-perspective declarative process models S Schönig, C Di Ciccio, FM Maggi, J Mendling Service-Oriented Computing: 14th International Conference, ICSOC 2016, Banff …, 2016	76	2016
A two-step fast algorithm for the automated discovery of declarative workflows C Di Ciccio, M Mecella 2013 IEEE Symposium on Computational Intelligence and Data Mining (CIDM …, 2013	76	2013
Blockchain-based traceability of inter-organisational business processes C Di Ciccio, A Cecconi, J Mendling, D Felix, D Haas, D Lilek, F Riel, ... Business Modeling and Software Design: 8th International Symposium, BMSD …, 2018	74	2018
Predictive Task Monitoring for Business Processes C Cabanillas Macías, C Di Ciccio, J Mendling, A Baumgrass BPM 2014: 12th International Workshops on Business Process Management (2014 …, 2014	74	2014
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 63, 145-156, 2021	71	2021
Detecting flight trajectory anomalies and predicting diversions in freight transportation C Di Ciccio, H Van der Aa, C Cabanillas, J Mendling, J Prescher Decision Support Systems 88, 1-17, 2016	71	2016
Extracting declarative process models from natural language H van der Aa, C Di Ciccio, H Leopold, HA Reijers Advanced Information Systems Engineering: 31st International Conference …, 2019	68	2019
Business process improvement with the AB-BPM methodology S Satyal, I Weber, H Paik, C Di Ciccio, J Mendling Information Systems 84, 283-298, 2019	65	2019
Comprehensive process drift detection with visual analytics A Yeshchenko, C Di Ciccio, J Mendling, A Polyvyanyy International Conference on Conceptual Modeling, 119-135, 2019	63	2019
From event streams to process models and back: Challenges and opportunities P Soffer, A Hinze, A Koschmider, H Ziekow, C Di Ciccio, B Koldehofe, ... Information Systems 81, 181-200, 2019	60	2019

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