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Marcello La Rosa
Person information

- affiliation: University of Melbourne, School of Computing and Information Systems, Australia
- affiliation (former): Queensland University of Technology, Brisbane, Australia
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2020 – today
- 2023
- [j58]Marlon Dumas
, Fabiana Fournier
, Lior Limonad
, Andrea Marrella
, Marco Montali
, Jana-Rebecca Rehse
, Rafael Accorsi
, Diego Calvanese
, Giuseppe De Giacomo
, Dirk Fahland
, Avigdor Gal
, Marcello La Rosa
, Hagen Völzer
, Ingo Weber
:
AI-augmented Business Process Management Systems: A Research Manifesto. ACM Trans. Manag. Inf. Syst. 14(1): 11:1-11:19 (2023) - [i26]Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush, Irene Teinemaa:
Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning. CoRR abs/2303.03572 (2023) - 2022
- [j57]Josep Carmona, Mieke Jans, Marcello La Rosa:
Special issue: Selected papers of ICPM 2019. Inf. Syst. 106: 101899 (2022) - [j56]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) - [j55]Adriano Augusto
, Abel Armas-Cervantes
, Raffaele Conforti
, Marlon Dumas
, Marcello La Rosa
:
Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach. IEEE Trans. Knowl. Data Eng. 34(4): 1870-1888 (2022) - [c84]Nigel Adams, Adriano Augusto, Michael J. Davern, Marcello La Rosa:
Why Do Banks Find Business Process Compliance so Challenging? An Australian Perspective. BPM (Forum) 2022: 3-20 - [c83]Zahra Dasht Bozorgi, Aleksei Kopolov, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
ProLift: Automated Discovery of Causal Treatment Rules From Event Logs (Extended Abstract). ICPM Doctoral Consortium / Demo 2022: 108-112 - [p9]Marlon Dumas
, Marcello La Rosa, Volodymyr Leno, Artem Polyvyanyy, Fabrizio Maria Maggi:
Robotic Process Mining. Process Mining Handbook 2022: 468-491 - [i25]Marlon Dumas, Fabiana Fournier, Lior Limonad, Andrea Marrella, Marco Montali, Jana-Rebecca Rehse, Rafael Accorsi, Diego Calvanese, Giuseppe De Giacomo, Dirk Fahland, Avigdor Gal, Marcello La Rosa, Hagen Völzer, Ingo Weber:
Augmented Business Process Management Systems: A Research Manifesto. CoRR abs/2201.12855 (2022) - [i24]Daniel Reißner, Abel Armas-Cervantes, Marcello La Rosa:
Generalization in Automated Process Discovery: A Framework based on Event Log Patterns. CoRR abs/2203.14079 (2022) - 2021
- [j54]Daniel Beverungen, Joos C. A. M. Buijs, Jörg Becker, Claudio Di Ciccio
, Wil M. P. van der Aalst
, Christian Bartelheimer, Jan vom Brocke, Marco Comuzzi, Karsten Kraume, Henrik Leopold, Martin Matzner, Jan Mendling, Nadine Ogonek, Till Post, Manuel Resinas, Kate Revoredo
, Adela del-Río-Ortega, Marcello La Rosa, Flávia Maria Santoro, Andreas Solti, Minseok Song, Armin Stein, Matthias Stierle
, Verena Wolf:
Seven Paradoxes of Business Process Management in a Hyper-Connected World. Bus. Inf. Syst. Eng. 63(2): 145-156 (2021) - [j53]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) - [j52]Niels Martin
, Dominik Andreas Fischer, Georgi Dimov Kerpedzhiev, Kanika Goel
, Sander J. J. Leemans
, Maximilian Röglinger, Wil M. P. van der Aalst, Marlon Dumas
, Marcello La Rosa, Moe Thandar Wynn:
Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study. Bus. Inf. Syst. Eng. 63(5): 511-527 (2021) - [j51]Anna A. Kalenkova, Josep Carmona, Artem Polyvyanyy, Marcello La Rosa:
Automated Repair of Process Models with Non-local Constraints Using State-Based Region Theory. Fundam. Informaticae 183(3-4): 293-317 (2021) - [j50]Nyree J. Taylor
, Reeva Lederman, Rachelle Bosua, Marcello La Rosa:
Capturing rich person-centred discharge information: exploring the challenges in developing a new model. Inf. Technol. People 34(6): 1664-1693 (2021) - [j49]Farbod Taymouri, Marcello La Rosa, Marlon Dumas
, Fabrizio Maria Maggi:
Business process variant analysis: Survey and classification. Knowl. Based Syst. 211: 106557 (2021) - [j48]Adriano Augusto
, Marlon Dumas
, Marcello La Rosa, Sander J. J. Leemans
, Seppe K. L. M. vanden Broucke:
Optimization framework for DFG-based automated process discovery approaches. Softw. Syst. Model. 20(4): 1245-1270 (2021) - [c82]Anna A. Kalenkova
, Artem Polyvyanyy
, Marcello La Rosa
:
Structural and Behavioral Biases in Process Comparison Using Models and Logs. ER 2021: 62-73 - [c81]Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas
, Marcello La Rosa, Artem Polyvyanyy:
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. ICPM 2021: 96-103 - [c80]Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani:
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences. SDM 2021: 522-530 - [e8]Marcello La Rosa
, Shazia W. Sadiq
, Ernest Teniente
:
Advanced Information Systems Engineering - 33rd International Conference, CAiSE 2021, Melbourne, VIC, Australia, June 28 - July 2, 2021, Proceedings. Lecture Notes in Computer Science 12751, Springer 2021, ISBN 978-3-030-79381-4 [contents] - [i23]Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani:
A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences. CoRR abs/2102.07298 (2021) - [i22]Adriano Augusto, Marlon Dumas, Marcello La Rosa:
Automated Discovery of Process Models with True Concurrency and Inclusive Choices. CoRR abs/2105.06016 (2021) - [i21]Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa:
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. CoRR abs/2105.07111 (2021) - [i20]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) - [i19]Anna A. Kalenkova, Josep Carmona, Artem Polyvyanyy, Marcello La Rosa:
Automated Repair of Process Models with Non-Local Constraints Using State-Based Region Theory. CoRR abs/2106.15398 (2021) - 2020
- [j47]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) - [j46]Sebastiaan J. van Zelst, Mohammadreza Fani Sani, Alireza Ostovar, Raffaele Conforti, Marcello La Rosa:
Detection and removal of infrequent behavior from event streams of business processes. Inf. Syst. 90: 101451 (2020) - [j45]Daniel Reißner
, Abel Armas-Cervantes
, Raffaele Conforti, Marlon Dumas
, Dirk Fahland
, Marcello La Rosa:
Scalable alignment of process models and event logs: An approach based on automata and S-components. Inf. Syst. 94: 101561 (2020) - [j44]Alireza Ostovar, Sander J. J. Leemans
, Marcello La Rosa
:
Robust Drift Characterization from Event Streams of Business Processes. ACM Trans. Knowl. Discov. Data 14(3): 30:1-30:57 (2020) - [c79]Anna A. Kalenkova
, Josep Carmona
, Artem Polyvyanyy
, Marcello La Rosa
:
Automated Repair of Process Models Using Non-local Constraints. Petri Nets 2020: 280-300 - [c78]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 - [c77]Anna A. Kalenkova
, Artem Polyvyanyy
, Marcello La Rosa
:
A Framework for Estimating Simplicity of Automatically Discovered Process Models Based on Structural and Behavioral Characteristics. BPM 2020: 129-146 - [c76]Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani, Zahra Dasht Bozorgi, Ilya Verenich:
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction. BPM 2020: 237-256 - [c75]Raffaele Conforti, Marcello La Rosa, Arthur H. M. ter Hofstede, Adriano Augusto:
Automatic Repair of Same-Timestamp Errors in Business Process Event Logs. BPM 2020: 327-345 - [c74]Farbod Taymouri, Marcello La Rosa, Josep Carmona:
Business Process Variant Analysis Based on Mutual Fingerprints of Event Logs. CAiSE 2020: 299-318 - [c73]Adriano Augusto, Marlon Dumas
, Marcello La Rosa:
Automated Discovery of Process Models with True Concurrency and Inclusive Choices. ICPM Workshops 2020: 43-56 - [c72]Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas
, Marcello La Rosa, Artem Polyvyanyy
:
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs. ICPM 2020: 129-136 - [c71]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 - [e7]Nicolas Herbaut
, Marcello La Rosa
:
Advanced Information Systems Engineering - CAiSE Forum 2020, Grenoble, France, June 8-12, 2020, Proceedings. Lecture Notes in Business Information Processing 386, Springer 2020, ISBN 978-3-030-58134-3 [contents] - [d1]Mathias Weske
, Gero Decker, Marlon Dumas
, Marcello La Rosa
, Jan Mendling
, Hajo A. Reijers
:
Model Collection of the Business Process Management Academic Initiative. Zenodo, 2020 - [i18]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) - [i17]Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani, Zahra Dasht Bozorgi, Ilya Verenich:
Predictive Business Process Monitoring via Generative Adversarial Nets: The Case of Next Event Prediction. CoRR abs/2003.11268 (2020) - [i16]Daniel Reißner, Abel Armas-Cervantes, Marcello La Rosa:
Efficient Conformance Checking using Alignment Computation with Tandem Repeats. CoRR abs/2004.01781 (2020) - [i15]Abderrahmane Maaradji, Marlon Dumas, Marcello La Rosa, Alireza Ostovar:
Detecting sudden and gradual drifts in business processes from execution traces. CoRR abs/2005.04016 (2020) - [i14]Farbod Taymouri, Marcello La Rosa:
Encoder-Decoder Generative Adversarial Nets for Suffix Generation and Remaining Time Predication of Business Process Models. CoRR abs/2007.16030 (2020) - [i13]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) - [i12]Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy:
Process Mining Meets Causal Machine Learning: Discovering Causal Rules from Event Logs. CoRR abs/2009.01561 (2020)
2010 – 2019
- 2019
- [j43]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) - [j42]Adriano Augusto
, Raffaele Conforti, Marlon Dumas
, Marcello La Rosa, Artem Polyvyanyy
:
Split miner: automated discovery of accurate and simple business process models from event logs. Knowl. Inf. Syst. 59(2): 251-284 (2019) - [j41]Ilya Verenich
, Marlon Dumas
, Marcello La Rosa
, Hoang Nguyen:
Predicting process performance: A white-box approach based on process models. J. Softw. Evol. Process. 31(6) (2019) - [j40]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) - [j39]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) - [j38]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) - [j37]Abel Armas-Cervantes
, Marlon Dumas
, Marcello La Rosa
, Abderrahmane Maaradji:
Local Concurrency Detection in Business Process Event Logs. ACM Trans. Internet Techn. 19(1): 16:1-16:23 (2019) - [c70]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 - [c69]Antonio Bosco, Adriano Augusto, Marlon Dumas
, Marcello La Rosa, Giancarlo Fortino:
Discovering Automatable Routines from User Interaction Logs. BPM Forum 2019: 144-162 - [c68]Adriano Augusto, Marlon Dumas
, Marcello La Rosa:
Metaheuristic Optimization for Automated Business Process Discovery. BPM 2019: 268-285 - [c67]Sara Migliorini
, Mauro Gambini
, Carlo Combi
, Marcello La Rosa
:
The Rise of Enforceable Business Processes from the Hashes of Blockchain-Based Smart Contracts. BPMDS/EMMSAD@CAiSE 2019: 130-138 - [c66]Dina Bayomie
, Claudio Di Ciccio
, Marcello La Rosa
, Jan Mendling
:
A Probabilistic Approach to Event-Case Correlation for Process Mining. ER 2019: 136-152 - [p8]Jan Mendling, Marlon Dumas, Marcello La Rosa, Hajo A. Reijers:
Structuring Business Process Management. The Art of Structuring 2019: 203-211 - [e6]Marcello La Rosa, Pierluigi Plebani, Manfred Reichert:
Proceedings of the Doctoral Consortium Papers Presented at the 31st International Conference on Advanced Information Systems Engineering (CAiSE 2019), Rome, Italy, June 3-7, 2019. CEUR Workshop Proceedings 2370, CEUR-WS.org 2019 [contents] - [i11]Artem Polyvyanyy, Arthur H. M. ter Hofstede, Marcello La Rosa, Chun Ouyang, Anastasiia Pika:
Process Query Language: Design, Implementation, and Evaluation. CoRR abs/1909.09543 (2019) - [i10]Daniël Reißner, Abel Armas-Cervantes, Raffaele Conforti, Marlon Dumas, Dirk Fahland, Marcello La Rosa:
Scalable Alignment of Process Models and Event Logs: An Approach Based on Automata and S-Components. CoRR abs/1910.09767 (2019) - [i9]Farbod Taymouri, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi:
Business Process Variant Analysis: Survey and Classification. CoRR abs/1911.07582 (2019) - [i8]Farbod Taymouri, Marcello La Rosa, Josep Carmona:
Business Process Variant Analysis based on Mutual Fingerprints of Event Logs. CoRR abs/1912.10598 (2019) - 2018
- [b2]Marlon Dumas
, Marcello La Rosa, Jan Mendling, Hajo A. Reijers:
Fundamentals of Business Process Management, Second Edition. Springer 2018, ISBN 978-3-662-56508-7, pp. 1-527 - [j36]Adriano Augusto, Raffaele Conforti, Marlon Dumas
, Marcello La Rosa, Giorgio Bruno:
Automated discovery of structured process models from event logs: The discover-and-structure approach. Data Knowl. Eng. 117: 373-392 (2018) - [j35]Marcello La Rosa, Peter Loos, Oscar Pastor
, Manfred Reichert:
Editorial special issue: Selected papers of BPM 2016. Inf. Syst. 78: 81-82 (2018) - [j34]Jan Mendling
, Ingo Weber
, Wil M. P. van der Aalst
, Jan vom Brocke, Cristina Cabanillas
, Florian Daniel
, Søren Debois, Claudio Di Ciccio
, Marlon Dumas
, Schahram Dustdar
, Avigdor Gal, Luciano García-Bañuelos
, Guido Governatori
, Richard Hull, Marcello La Rosa, Henrik Leopold, Frank Leymann, Jan Recker
, Manfred Reichert, Hajo A. Reijers
, Stefanie Rinderle-Ma, Andreas Solti, Michael Rosemann
, Stefan Schulte
, Munindar P. Singh
, Tijs Slaats, Mark Staples, Barbara Weber
, Matthias Weidlich
, Mathias Weske, Xiwei Xu
, Liming Zhu
:
Blockchains for Business Process Management - Challenges and Opportunities. ACM Trans. Manag. Inf. Syst. 9(1): 4:1-4:16 (2018) - [j33]Luciano García-Bañuelos
, Nick van Beest, Marlon Dumas
, Marcello La Rosa
, Willem Mertens
:
Complete and Interpretable Conformance Checking of Business Processes. IEEE Trans. Software Eng. 44(3): 262-290 (2018) - [c65]Adriano Augusto, Abel Armas-Cervantes
, Raffaele Conforti, Marlon Dumas
, Marcello La Rosa, Daniel Reißner
:
Abstract-and-Compare: A Family of Scalable Precision Measures for Automated Process Discovery. BPM 2018: 158-175 - [c64]Sebastiaan J. van Zelst, Mohammadreza Fani Sani, Alireza Ostovar, Raffaele Conforti, Marcello La Rosa:
Filtering Spurious Events from Event Streams of Business Processes. CAiSE 2018: 35-52 - [c63]Fabrizio Fornari
, Marcello La Rosa, Andrea Polini
, Barbara Re, Francesco Tiezzi:
Checking Business Process Correctness in Apromore. CAiSE Forum 2018: 114-123 - [c62]Ilya Verenich, Stanislav Mõskovski, Simon Raboczi, Marlon Dumas
, Marcello La Rosa, Fabrizio Maria Maggi:
Predictive Process Monitoring in Apromore. CAiSE Forum 2018: 244-253 - [c61]Hoang Nguyen, Marlon Dumas
, Marcello La Rosa, Arthur H. M. ter Hofstede
:
Multi-perspective Comparison of Business Process Variants Based on Event Logs. ER 2018: 449-459 - [c60]Volodymyr Leno
, Abel Armas-Cervantes
, Marlon Dumas
, Marcello La Rosa, Fabrizio Maria Maggi:
Discovering process maps from event streams. ICSSP 2018: 86-95 - [i7]Volodymyr Leno, Abel Armas-Cervantes, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi:
Discovering Process Maps from Event Streams. CoRR abs/1804.02704 (2018) - [i6]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. CoRR abs/1805.02896 (2018) - 2017
- [j32]Marcello La Rosa
, Wil M. P. van der Aalst
, Marlon Dumas
, Fredrik Milani:
Business Process Variability Modeling: A Survey. ACM Comput. Surv. 50(1): 2:1-2:45 (2017) - [j31]Raffaele Conforti
, Marcello La Rosa
, Arthur H. M. ter Hofstede
:
Filtering Out Infrequent Behavior from Business Process Event Logs. IEEE Trans. Knowl. Data Eng. 29(2): 300-314 (2017) - [j30]Abderrahmane Maaradji, Marlon Dumas
, Marcello La Rosa, Alireza Ostovar:
Detecting Sudden and Gradual Drifts in Business Processes from Execution Traces. IEEE Trans. Knowl. Data Eng. 29(10): 2140-2154 (2017) - [c59]Abel Armas-Cervantes, N. R. T. P. van Beest, Marcello La Rosa, Marlon Dumas, Simon Raboczi:
Incremental and Interactive Business Process Model Repair in Apromore. BPM (Demos) 2017 - [c58]Fabrizio Fornari, Stefania Gnesi, Marcello La Rosa, Andrea Polini, Barbara Re, Giorgio Oronzo Spagnolo:
Checking Business Process Modeling Guidelines in Apromore. BPM (Demos) 2017 - [c57]Kerwin Jorbina, Andrii Rozumnyi, Ilya Verenich, Chiara Di Francescomarino, Marlon Dumas, Chiara Ghidini, Fabrizio Maria Maggi, Marcello La Rosa, Simon Raboczi:
Nirdizati: A Web-Based Tool for Predictive Process Monitoring. BPM (Demos) 2017 - [c56]Bart F. A. Hompes, Abderrahmane Maaradji, Marcello La Rosa, Marlon Dumas
, Joos C. A. M. Buijs, Wil M. P. van der Aalst
:
Discovering Causal Factors Explaining Business Process Performance Variation. CAiSE 2017: 177-192 - [c55]Alireza Ostovar, Abderrahmane Maaradji, Marcello La Rosa, Arthur H. M. ter Hofstede
:
Characterizing Drift from Event Streams of Business Processes. CAiSE 2017: 210-228 - [c54]Niek Tax
, Ilya Verenich
, Marcello La Rosa, Marlon Dumas
:
Predictive Business Process Monitoring with LSTM Neural Networks. CAiSE 2017: 477-492 - [c53]Hoang Nguyen, Marlon Dumas
, Arthur H. M. ter Hofstede
, Marcello La Rosa, Fabrizio Maria Maggi:
Mining Business Process Stages from Event Logs. CAiSE 2017: 577-594 - [c52]Adriano Augusto, Raffaele Conforti, Marlon Dumas
, Marcello La Rosa:
Split Miner: Discovering Accurate and Simple Business Process Models from Event Logs. ICDM 2017: 1-10 - [c51]Ilya Verenich
, Hoang Nguyen, Marcello La Rosa, Marlon Dumas
:
White-box prediction of process performance indicators via flow analysis. ICSSP 2017: 85-94 - [c50]Abel Armas-Cervantes
, N. R. T. P. van Beest, Marcello La Rosa, Marlon Dumas
, Luciano García-Bañuelos
:
Interactive and Incremental Business Process Model Repair. OTM Conferences (1) 2017: 53-74 - [c49]Daniel Reißner
, Raffaele Conforti, Marlon Dumas
, Marcello La Rosa, Abel Armas-Cervantes
:
Scalable Conformance Checking of Business Processes. OTM Conferences (1) 2017: 607-627 - [c48]Marcello La Rosa:
Modeling Business Process Variability: Are We Done Yet? SPLC (A) 2017: 3 - [e5]Maurice H. ter Beek, Walter Cazzola, Oscar Díaz, Marcello La Rosa, Roberto E. Lopez-Herrejon, Thomas Thüm, Javier Troya, Antonio Ruiz Cortés, David Benavides:
Proceedings of the 21st International Systems and Software Product Line Conference, SPLC 2017, Volume B, Sevilla, Spain, September 25-29, 2017. ACM 2017, ISBN 978-1-4503-5119-5 [contents] - [i5]Jan Mendling, Ingo Weber, Wil M. P. van der Aalst, Jan vom Brocke, Cristina Cabanillas, Florian Daniel, Søren Debois, Claudio Di Ciccio, Marlon Dumas, Schahram Dustdar, Avigdor Gal, Luciano García-Bañuelos, Guido Governatori, Richard Hull, Marcello La Rosa, Henrik Leopold, Frank Leymann, Jan Recker, Manfred Reichert, Hajo A. Reijers, Stefanie Rinderle-Ma, Andreas Rogge-Solti, Michael Rosemann, Stefan Schulte, Munindar P. Singh, Tijs Slaats, Mark Staples, Barbara Weber, Matthias Weidlich, Mathias Weske, Xiwei Xu, Liming Zhu:
Blockchains for Business Process Management - Challenges and Opportunities. CoRR abs/1704.03610 (2017) - [i4]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. CoRR abs/1705.02288 (2017) - [i3]Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi:
Outcome-Oriented Predictive Process Monitoring: Review and Benchmark. CoRR abs/1707.06766 (2017) - 2016
- [j29]Wil M. P. van der Aalst
, Marcello La Rosa, Flávia Maria Santoro:
Business Process Management - Don't Forget to Improve the Process! Bus. Inf. Syst. Eng. 58(1): 1-6 (2016) - [j28]Marcello La Rosa:
Interview with Michael Rosemann on "The Role of Business Process Management in Modern Organizations". Bus. Inf. Syst. Eng. 58(1): 89-91 (2016) - [j27]Raffaele Conforti
, Marlon Dumas
, Luciano García-Bañuelos
, Marcello La Rosa:
BPMN Miner: Automated discovery of BPMN process models with hierarchical structure. Inf. Syst. 56: 284-303 (2016) - [c47]Abel Armas-Cervantes, N. R. T. P. van Beest, Marlon Dumas, Luciano García-Bañuelos, Marcello La Rosa:
Behavior-based Process Comparison in Apromore. BPM (Demos) 2016: 34-38 - [c46]Raffaele Conforti, Adriano Augusto, Marcello La Rosa, Marlon Dumas, Luciano García-Bañuelos:
BPMN Miner 2.0: Discovering Hierarchical and Block-Structured BPMN Process Models. BPM (Demos) 2016: 39-43 - [c45]Hoang Nguyen, Marlon Dumas
, Arthur H. M. ter Hofstede
, Marcello La Rosa, Fabrizio Maria Maggi:
Business Process Performance Mining with Staged Process Flows. CAiSE 2016: 167-185 - [c44]Ilya Verenich
, Marlon Dumas
, Marcello La Rosa, Fabrizio Maria Maggi, Chiara Di Francescomarino:
Minimizing Overprocessing Waste in Business Processes via Predictive Activity Ordering. CAiSE 2016: 186-202 - [c43]Adriano Augusto
, Raffaele Conforti, Marlon Dumas
, Marcello La Rosa, Giorgio Bruno:
Automated Discovery of Structured Process Models: Discover Structured vs. Discover and Structure. ER 2016: 313-329 - [c42]Alireza Ostovar, Abderrahmane Maaradji, Marcello La Rosa, Arthur H. M. ter Hofstede
, Boudewijn F. van Dongen
:
Detecting Drift from Event Streams of Unpredictable Business Processes. ER 2016: 330-346 - [e4]Marcello La Rosa, Peter Loos, Oscar Pastor:
Business Process Management Forum - BPM Forum 2016, Rio de Janeiro, Brazil, September 18-22, 2016, Proceedings. Lecture Notes in Business Information Processing 260, Springer 2016, ISBN 978-3-319-45467-2 [contents] - [e3]Marcello La Rosa, Peter Loos, Oscar Pastor:
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