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ORCIDFabrizio Maria Maggi
Person information
- affiliation: Free University of Bozen-Bolzano, Italy
- affiliation (former): University of Tartu, Estonia
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2020 – today
- 2024
[j54]Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali
:
Enjoy the silence: Analysis of stochastic Petri nets with silent transitions. Inf. Syst. 124: 102383 (2024)- [c134]Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali:
Conformance Checking of Fuzzy Logs Against Declarative Temporal Specifications. BPM 2024: 39-56 - [c133]Anti Alman, Fabrizio Maria Maggi, Stefanie Rinderle-Ma, Andrey Rivkin, Karolin Winter:
Towards a Multi-model Paradigm for Business Process Management. CAiSE 2024: 178-194 - [c132]Chiara Di Francescomarino, Ivan Donadello, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi, Sergio Tessaris:
Making Sense of Temporal Event Data:A Framework for Comparing Techniques for the Discovery of Discriminative Temporal Patterns. CAiSE 2024: 423-439 - [i37]Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Ivan Donadello, Fabrizio Maria Maggi:
Guiding the generation of counterfactual explanations through temporal background knowledge for Predictive Process Monitoring. CoRR abs/2403.11642 (2024) - [i36]Ivan Donadello, Paolo Felli, Craig Innes, Fabrizio Maria Maggi, Marco Montali:
Conformance Checking of Fuzzy Logs against Declarative Temporal Specifications. CoRR abs/2406.12078 (2024) - 2023
- [j53]Anti Alman, Fabrizio Maria Maggi, Marco Montali, Fabio Patrizi, Andrey Rivkin:
Monitoring hybrid process specifications with conflict management: An automata-theoretic approach. Artif. Intell. Medicine 139: 102512 (2023) - [j52]Ivan Donadello, Chiara Di Francescomarino, Fabrizio Maria Maggi, Francesco Ricci, Aladdin Shikhizada:
Outcome-Oriented Prescriptive Process Monitoring based on Temporal Logic Patterns. Eng. Appl. Artif. Intell. 126: 106899 (2023) - [j51]Simone Agostinelli, Francesco Chiariello, Fabrizio Maria Maggi, Andrea Marrella, Fabio Patrizi:
Process mining meets model learning: Discovering deterministic finite state automata from event logs for business process analysis. Inf. Syst. 114: 102180 (2023) - [j50]Anti Alman, Fabrizio Maria Maggi, Marco Montali, Fabio Patrizi, Andrey Rivkin:
A framework for modeling, executing, and monitoring hybrid multi-process specifications with bounded global-local memory. Inf. Syst. 119: 102271 (2023) - [j49]Paolo Ceravolo, Claudio Di Ciccio, Chiara Di Francescomarino, María Teresa Gómez-López, Fabrizio Maria Maggi, Renuka Sindhgatta:
Editorial: recent advances in process analytics. J. Intell. Inf. Syst. 61(1): 1-3 (2023) - [j48]Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi:
Data-aware process discovery for malware detection: an empirical study. Mach. Learn. 112(4): 1171-1199 (2023) - [j47]Giuseppe De Giacomo, Francesco Fuggitti, Fabrizio Maria Maggi, Andrea Marrella, Fabio Patrizi:
A tool for declarative Trace Alignment via automated planning. Softw. Impacts 16: 100505 (2023) - [j46]Fabrizio Maria Maggi, Andrea Marrella, Fabio Patrizi, Vasyl Skydanienko:
Data-Aware Declarative Process Mining with SAT. ACM Trans. Intell. Syst. Technol. 14(4): 75:1-75:26 (2023) - [j45]Federico Chesani, Chiara Di Francescomarino, Chiara Ghidini, Daniela Loreti, Fabrizio Maria Maggi, Paola Mello, Marco Montali, Sergio Tessaris:
Process Discovery on Deviant Traces and Other Stranger Things. IEEE Trans. Knowl. Data Eng. 35(11): 11784-11800 (2023) - [c131]Alessandro Gianola, Jonghyeon Ko, Fabrizio Maria Maggi, Marco Montali, Sarah Winkler:
Approximating Multi-perspective Trace Alignment Using Trace Encodings. BPM 2023: 74-91 - [c130]Francesco Chiariello, Fabrizio Maria Maggi, Fabio Patrizi:
From LTL on Process Traces to Finite-state Automata. BPM (Demos / Resources Forum) 2023: 127-131 - [c129]Francesco Riva, Dario Benvenuti, Fabrizio Maria Maggi, Andrea Marrella, Marco Montali:
An SQL-Based Declarative Process Mining Framework for Analyzing Process Data Stored in Relational Databases. BPM (Forum) 2023: 214-231 - [c128]Anti Alman, Fabrizio Maria Maggi, Marco Montali, Andrey Rivkin:
Generating Event Logs from Hybrid Process Models. Business Process Management Workshops 2023: 289-301 - [c127]Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi:
Counterfactuals and Ways to Build Them: Evaluating Approaches in Predictive Process Monitoring. CAiSE 2023: 558-574 - [c126]Ana Rocío Cárdenas Maita, Marcelo Fantinato, Sarajane Marques Peres, Fabrizio Maria Maggi:
Towards a Business-Oriented Approach to Visualization-Supported Interpretability of Prediction Results in Process Mining. ICEIS (1) 2023: 395-406 - [c125]Ivan Donadello, Fabrizio Maria Maggi, Francesco Riva, Manpreet Singh:
ASP-Based Log Generation with Purposes in Declare4Py. ICPM Doctoral Consortium / Demo 2023 - [c124]Tedi Ibershimi, Diellsimeone Xhemalaj, Anti Alman, Ivan Donadello, Fabrizio Maria Maggi:
Two Solutions for Checking LTLf Properties in Event Logs. ICPM Doctoral Consortium / Demo 2023 - [c123]Jonghyeon Ko, Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza, Ramon Fraga Pereira:
Plan Recognition as Probabilistic Trace Alignment. ICPM 2023: 33-40 - [c122]Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali:
Finite-Trace Analysis of Stochastic Systems with Silent Transitions (Extended Abstract). IJCAI 2023: 6452-6457 - [c121]Anti Alman, Ivan Donadello, Fabrizio Maria Maggi, Marco Montali:
Declarative Process Mining for Software Processes: The RuM Toolkit and the Declare4Py Python Library. PROFES (2) 2023: 13-19 - [e8]Tiago Prince Sales, Henderik A. Proper, Giancarlo Guizzardi, Marco Montali, Fabrizio Maria Maggi, Claudenir M. Fonseca:
Enterprise Design, Operations, and Computing. EDOC 2022 Workshops - IDAMS, SoEA4EE, TEAR, EDOC Forum, Demonstrations Track and Doctoral Consortium, Bozen-Bolzano, Italy, October 4-7, 2022, Revised Selected Papers. Lecture Notes in Business Information Processing 466, Springer 2023, ISBN 978-3-031-26885-4 [contents] - [i35]Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi:
Explain, Adapt and Retrain: How to improve the accuracy of a PPM classifier through different explanation styles. CoRR abs/2303.14939 (2023) - [i34]Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali:
Enjoy the Silence: Analysis of Stochastic Petri Nets with Silent Transitions. CoRR abs/2306.06376 (2023) - [i33]Ivan Donadello, Jonghyeon Ko, Fabrizio Maria Maggi, Jan Mendling, Francesco Riva, Matthias Weidlich:
Knowledge-Driven Modulation of Neural Networks with Attention Mechanism for Next Activity Prediction. CoRR abs/2312.08847 (2023) - 2022
- [j44]Jongchan Kim, Marco Comuzzi, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa:
Encoding resource experience for predictive process monitoring. Decis. Support Syst. 153: 113669 (2022) - [j43]Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy:
Discovering data transfer routines from user interaction logs. Inf. Syst. 107: 101916 (2022) - [j42]Alessio Cecconi, Giuseppe De Giacomo, Claudio Di Ciccio, Fabrizio Maria Maggi, Jan Mendling:
Measuring the interestingness of temporal logic behavioral specifications in process mining. Inf. Syst. 107: 101920 (2022) - [j41]Anti Alman, Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza:
Probabilistic declarative process mining. Inf. Syst. 109: 102033 (2022) - [j40]Stephan A. Fahrenkrog-Petersen, Niek Tax, Irene Teinemaa, Marlon Dumas, Massimiliano de Leoni, Fabrizio Maria Maggi, Matthias Weidlich:
Fire now, fire later: alarm-based systems for prescriptive process monitoring. Knowl. Inf. Syst. 64(2): 559-587 (2022) - [j39]Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi:
How do I update my model? On the resilience of Predictive Process Monitoring models to change. Knowl. Inf. Syst. 64(5): 1385-1416 (2022) - [j38]Francesco Chiariello, Fabrizio Maria Maggi, Fabio Patrizi:
A tool for compiling Declarative Process Mining problems in ASP. Softw. Impacts 14: 100435 (2022) - [j37]Giuseppe De Giacomo, Riccardo De Masellis, Fabrizio Maria Maggi, Marco Montali:
Monitoring Constraints and Metaconstraints with Temporal Logics on Finite Traces. ACM Trans. Softw. Eng. Methodol. 31(4): 68:1-68:44 (2022) - [c120]Francesco Chiariello, Fabrizio Maria Maggi, Fabio Patrizi:
ASP-Based Declarative Process Mining. AAAI 2022: 5539-5547 - [c119]Ivan Donadello, Francesco Riva, Fabrizio Maria Maggi, Aladdin Shikhizada:
Declare4Py: A Python Library for Declarative Process Mining. BPM (PhD/Demos) 2022: 117-121 - [c118]Sander J. J. Leemans, Fabrizio Maria Maggi, Marco Montali:
Reasoning on Labelled Petri Nets and Their Dynamics in a Stochastic Setting. BPM 2022: 324-342 - [c117]Anti Alman, Fabrizio Maria Maggi, Marco Montali, Fabio Patrizi, Andrey Rivkin:
Multi-model Monitoring Framework for Hybrid Process Specifications. CAiSE 2022: 319-335 - [c116]Federico Chesani, Chiara Di Francescomarino, Chiara Ghidini, Daniela Loreti, Fabrizio Maria Maggi, Paola Mello, Marco Montali, Elena Palmieri, Sergio Tessaris:
Discovering Business Processes models expressed as DNF or CNF formulae of Declare constraints. CILC 2022: 201-216 - [c115]Federico Chesani, Chiara Di Francescomarino, Chiara Ghidini, Giulia Grundler, Daniela Loreti, Fabrizio Maria Maggi, Paola Mello, Marco Montali, Sergio Tessaris:
Shape Your Process: Discovering Declarative Business Processes from Positive and Negative Traces Taking into Account User Preferences. EDOC 2022: 217-234 - [c114]Giacomo Acitelli, Marco Angelini, Silvia Bonomi, Fabrizio Maria Maggi, Andrea Marrella, Alessandro Palma:
Context-Aware Trace Alignment with Automated Planning. ICPM 2022: 104-111 - [c113]Chiara Di Francescomarino, Ivan Donadello, Chiara Ghidini, Fabrizio Maria Maggi, Williams Rizzi:
Making sense of temporal data: the DECLARE encoding. PMAI@IJCAI 2022: 77-80 - [c112]Federico Chesani, Chiara Di Francescomarino, Chiara Ghidini, Giulia Grundler, Daniela Loreti, Fabrizio Maria Maggi, Paola Mello, Marco Montali, Sergio Tessaris:
Optimising Business Process Discovery Using Answer Set Programming. LPNMR 2022: 498-504 - [c111]Fredrik Milani, Katsiaryna Lashkevich, Fabrizio Maria Maggi, Chiara Di Francescomarino:
Process Mining: A Guide for Practitioners. RCIS 2022: 265-282 - [p6]Marlon Dumas, Marcello La Rosa, Volodymyr Leno, Artem Polyvyanyy, Fabrizio Maria Maggi:
Robotic Process Mining. Process Mining Handbook 2022: 468-491 - [e7]João Paulo A. Almeida, Dimka Karastoyanova, Giancarlo Guizzardi, Marco Montali, Fabrizio Maria Maggi, Claudenir M. Fonseca:
Enterprise Design, Operations, and Computing - 26th International Conference, EDOC 2022, Bozen-Bolzano, Italy, October 3-7, 2022, Proceedings. Lecture Notes in Computer Science 13585, Springer 2022, ISBN 978-3-031-17603-6 [contents] - [e6]Mieke Jans, Gert Janssenswillen, Anna A. Kalenkova, Fabrizio Maria Maggi:
Proceedings of the ICPM Doctoral Consortium and Demo Track 2021 co-located with 3rd International Conference on Process Mining, ICPM Doctoral Consortium / Demo Track 2021, Eindhoven, The Netherlands, November, 2021. CEUR Workshop Proceedings 3098, CEUR-WS.org 2022 [contents] - [e5]Marwan Hassani, Agnes Koschmider, Marco Comuzzi, Fabrizio Maria Maggi, Luise Pufahl:
Proceedings of the ICPM Doctoral Consortium and Demo Track 2022 co-located with 4th International Conference on Process Mining (ICPM 2022), Bolzano, Italy, October, 2022. CEUR Workshop Proceedings 3299, CEUR-WS.org 2022 [contents] - [i32]Williams Rizzi, Marco Comuzzi, Chiara Di Francescomarino, Chiara Ghidini, Suhwan Lee, Fabrizio Maria Maggi, Alexander Nolte:
Explainable Predictive Process Monitoring: A User Evaluation. CoRR abs/2202.07760 (2022) - [i31]Francesco Chiariello, Fabrizio Maria Maggi, Fabio Patrizi:
ASP-Based Declarative Process Mining. CoRR abs/2205.01979 (2022) - [i30]Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi:
Nirdizati: an Advanced Predictive Process Monitoring Toolkit. CoRR abs/2210.09688 (2022) - [i29]Ivan Donadello, Chiara Di Francescomarino, Fabrizio Maria Maggi, Francesco Ricci, Aladdin Shikhizada:
Outcome-Oriented Prescriptive Process Monitoring Based on Temporal Logic Patterns. CoRR abs/2211.04880 (2022) - 2021
- [j36]Volodymyr Leno, Artem Polyvyanyy, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi:
Robotic Process Mining: Vision and Challenges. Bus. Inf. Syst. Eng. 63(3): 301-314 (2021) - [j35]Greta Adamo, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi:
Beyond arrows in process models: A user study on activity dependences and their rationales. Inf. Syst. 100: 101762 (2021) - [j34]Fabrizio Maria Maggi, Andrea Marrella:
Preface to the Special Issue on Artificial Intelligence for Business Process Management 2019. J. Data Semant. 10(1-2): 1-2 (2021) - [j33]Farbod Taymouri, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi:
Business process variant analysis: Survey and classification. Knowl. Based Syst. 211: 106557 (2021) - [c110]Anti Alman, Claudio Di Ciccio, Fabrizio Maria Maggi, Marco Montali, Han van der Aa:
RuM: Declarative Process Mining, Distilled. BPM 2021: 23-29 - [c109]Anti Alman, Claudio Di Ciccio, Fabrizio Maria Maggi:
Rule Mining with RuM (Extended Abstract). ITBPM@BPM 2021: 38-43 - [c108]Orlenys López-Pintado, Marlon Dumas, Maksym Yerokhin, Fabrizio Maria Maggi:
Silhouetting the Cost-Time Front: Multi-objective Resource Optimization in Business Processes. BPM (Forum) 2021: 92-108 - [c107]Giacomo Bergami, Fabrizio Maria Maggi, Andrea Marrella, Marco Montali:
Aligning Data-Aware Declarative Process Models and Event Logs. BPM 2021: 235-251 - [c106]Giacomo Bergami, Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza:
A Tool for Computing Probabilistic Trace Alignments. CAiSE Forum 2021: 118-126 - [c105]Giacomo Bergami, Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza:
Probabilistic Trace Alignment. ICPM 2021: 9-16 - [c104]Simone Agostinelli, Giacomo Bergami, Alessio Fiorenza, Fabrizio Maria Maggi, Andrea Marrella, Fabio Patrizi:
Discovering Declarative Process Model Behavior from Event Logs via Model Learning. ICPM 2021: 48-55 - [e4]Wil M. P. van der Aalst, Remco M. Dijkman, Akhil Kumar, Francesco Leotta, Fabrizio Maria Maggi, Jan Mendling, Brian T. Pentland, Arik Senderovich, Marcos Sepúlveda, Estefanía Serral Asensio, Mathias Weske:
Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2021 co-located with 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, September 6th - to - 10th, 2021. CEUR Workshop Proceedings 2973, CEUR-WS.org 2021 [contents] - [i28]Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy:
Discovering executable routine specifications from user interaction logs. CoRR abs/2106.13446 (2021) - [i27]Giacomo Bergami, Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza:
Probabilistic Trace Alignment. CoRR abs/2107.03997 (2021) - [i26]Williams Rizzi, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi:
How do I update my model? On the resilience of Predictive Process Monitoring models to change. CoRR abs/2109.03501 (2021) - [i25]Federico Chesani, Chiara Di Francescomarino, Chiara Ghidini, Daniela Loreti, Fabrizio Maria Maggi, Paola Mello, Marco Montali, Sergio Tessaris:
Process discovery on deviant traces and other stranger things. CoRR abs/2109.14883 (2021) - [i24]Giacomo Bergami, Chiara Di Francescomarino, Chiara Ghidini, Fabrizio Maria Maggi, Joonas Puura:
Exploring Business Process Deviance with Sequential and Declarative Patterns. CoRR abs/2111.12454 (2021) - [i23]Anti Alman, Fabrizio Maria Maggi, Marco Montali, Fabio Patrizi, Andrey Rivkin:
Monitoring Hybrid Process Specifications with Conflict Management: The Automata-theoretic Approach. CoRR abs/2111.13136 (2021) - 2020
- [j32]Volodymyr Leno, Marlon Dumas, Fabrizio Maria Maggi, Marcello La Rosa, Artem Polyvyanyy:
Automated discovery of declarative process models with correlated data conditions. Inf. Syst. 89: 101482 (2020) - [j31]Chiara Di Francescomarino, Fabrizio Maria Maggi:
Preface to the Special Issue on Artificial Intelligence for Business Process Management 2018. J. Data Semant. 9(1): 1 (2020) - [c103]Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza:
Temporal Logics Over Finite Traces with Uncertainty. AAAI 2020: 10218-10225 - [c102]Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza, Anti Alman:
Extending Temporal Business Constraints with Uncertainty. BPM 2020: 35-54 - [c101]Han van der Aa, Karl Johannes Balder, Fabrizio Maria Maggi, Alexander Nolte:
Say It in Your Own Words: Defining Declarative Process Models Using Speech Recognition. BPM (Forum) 2020: 51-67 - [c100]Volodymyr Leno, Stanislav Deviatykh, Artem Polyvyanyy, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi:
Robidium: Automated Synthesis of Robotic Process Automation Scripts from UI Logs. BPM (PhD/Demos) 2020: 102-106 - [c99]Anti Alman, Karl Johannes Balder, Fabrizio Maria Maggi, Han van der Aa:
Declo: A Chatbot for User-friendly Specification of Declarative Process Models. BPM (PhD/Demos) 2020: 122-126 - [c98]Williams Rizzi, Chiara Di Francescomarino, Fabrizio Maria Maggi:
Explainability in Predictive Process Monitoring: When Understanding Helps Improving. BPM (Forum) 2020: 141-158 - [c97]Fabrizio Maria Maggi, Marco Montali, Rafael Peñaloza:
Probabilistic Conformance Checking Based on Declarative Process Models. CAiSE Forum 2020: 86-99 - [c96]Anti Alman, Claudio Di Ciccio, Dominik Haas, Fabrizio Maria Maggi, Jan Mendling:
Rule Mining in Action: The RuM Toolkit. ICPM Doctoral Consortium / Tools 2020: 51-54 - [c95]Alessio Cecconi, Giuseppe De Giacomo, Claudio Di Ciccio, Fabrizio Maria Maggi, Jan Mendling:
A Temporal Logic-Based Measurement Framework for Process Mining. ICPM 2020: 113-120 - [c94]Anti Alman, Claudio Di Ciccio, Dominik Haas, Fabrizio Maria Maggi, Alexander Nolte:
Rule Mining with RuM. ICPM 2020: 121-128 - [c93]Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy:
Identifying Candidate Routines for Robotic Process Automation from Unsegmented UI Logs. ICPM 2020: 153-160 - [c92]Nicolò Navarin, Matteo Cambiaso, Andrea Burattin, Fabrizio Maria Maggi, Luca Oneto, Alessandro Sperduti:
Towards Online Discovery of Data-Aware Declarative Process Models from Event Streams. IJCNN 2020: 1-8 - [i22]Volodymyr Leno, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy:
Automated Discovery of Data Transformations for Robotic Process Automation. CoRR abs/2001.01007 (2020) - [i21]Giuseppe De Giacomo, Riccardo De Masellis, Fabrizio Maria Maggi, Marco Montali:
Monitoring Constraints and Metaconstraints with Temporal Logics on Finite Traces. CoRR abs/2004.01859 (2020) - [i20]Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy:
Identifying candidate routines for Robotic Process Automation from unsegmented UI logs. CoRR abs/2008.05782 (2020)
2010 – 2019
- 2019
- [j30]Hoang Nguyen, Marlon Dumas, Arthur H. M. ter Hofstede, Marcello La Rosa, Fabrizio Maria Maggi:
Stage-based discovery of business process models from event logs. Inf. Syst. 84: 214-237 (2019) - [j29]Arik Senderovich, Chiara Di Francescomarino, Fabrizio Maria Maggi:
From knowledge-driven to data-driven inter-case feature encoding in predictive process monitoring. Inf. Syst. 84: 255-264 (2019) - [j28]Chiara Di Francescomarino, Fabrizio Maria Maggi:
Preface to the Special Issue on Business Process Innovations with Artificial Intelligence. J. Data Semant. 8(2): 77 (2019) - [j27]David Raffo, Reda Bendraou, LiGuo Huang, Fabrizio Maria Maggi:
Innovative process paradigms and data driven analytics: A new horizon for software and systems process. J. Softw. Evol. Process. 31(6) (2019) - [j26]Ilya Verenich, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Irene Teinemaa:
Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring. ACM Trans. Intell. Syst. Technol. 10(4): 34:1-34:34 (2019) - [j25]Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi:
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark. ACM Trans. Knowl. Discov. Data 13(2): 17:1-17:57 (2019) - [j24]Adriano Augusto, Raffaele Conforti, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Andrea Marrella, Massimo Mecella, Allar Soo:
Automated Discovery of Process Models from Event Logs: Review and Benchmark. IEEE Trans. Knowl. Data Eng. 31(4): 686-705 (2019) - [j23]Diego Calvanese, Marco Montali, Marlon Dumas, Fabrizio Maria Maggi:
Semantic DMN: Formalizing and Reasoning About Decisions in the Presence of Background Knowledge. Theory Pract. Log. Program. 19(4): 536-573 (2019) - [j22]Chiara Di Francescomarino, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa:
Clustering-Based Predictive Process Monitoring. IEEE Trans. Serv. Comput. 12(6): 896-909 (2019) - [c91]Volodymyr Leno, Artem Polyvyanyy, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi:
Action Logger: Enabling Process Mining for Robotic Process Automation. BPM (PhD/Demos) 2019: 124-128 - [c90]Williams Rizzi, Luca Simonetto, Chiara Di Francescomarino, Chiara Ghidini, Tõnis Kasekamp, Fabrizio Maria Maggi:
Nirdizati 2.0: New Features and Redesigned Backend. BPM (PhD/Demos) 2019: 154-158 - [c89]Simone Agostinelli, Fabrizio Maria Maggi, Andrea Marrella, Francesco Sapio:
Achieving GDPR Compliance of BPMN Process Models. CAiSE Forum 2019: 10-22 - [c88]Andrea Burattin, Giancarlo Guizzardi, Fabrizio Maria Maggi, Marco Montali:
Fifty Shades of Green: How Informative is a Compliant Process Trace? CAiSE 2019: 611-626 - [c87]Federico Chesani, Chiara Di Francescomarino, Chiara Ghidini, Daniela Loreti, Fabrizio Maria Maggi, Paola Mello, Marco Montali, Vasyl Skydanienko, Sergio Tessaris:
Towards the Generation of the "Perfect" Log Using Abductive Logic Programming. CILC 2019: 179-192 - [c86]Simone Agostinelli, Fabrizio Maria Maggi, Andrea Marrella, Massimo Mecella:
Verifying Petri Net-Based Process Models using Automated Planning. EDOC Workshops 2019: 44-53 - [c85]Simone Agostinelli, Fabrizio Maria Maggi, Andrea Marrella, Fredrik Milani:
A User Evaluation of Process Discovery Algorithms in a Software Engineering Company. EDOC 2019: 142-150 - [c84]Fabrizio Maria Maggi, Marco Montali, Ubaier Bhat:
Compliance Monitoring of Multi-Perspective Declarative Process Models. EDOC 2019: 151-160 - [c83]Pasquale Ardimento, Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi:
Evaluating coding behavior in software development processes: a process mining approach. ICSSP 2019: 84-93 - [c82]Simone Coltellese, Fabrizio Maria Maggi, Andrea Marrella, Luca Massarelli, Leonardo Querzoni:
Triage of IoT Attacks Through Process Mining. OTM Conferences 2019: 326-344 - [r1]Fabrizio Maria Maggi:
Declarative Process Mining. Encyclopedia of Big Data Technologies 2019 - [i19]