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ORCIDMarcello La Rosa
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- 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:
Business Process Management - 14th International Conference, BPM 2016, Rio de Janeiro, Brazil, September 18-22, 2016. Proceedings. Lecture Notes in Computer Science 9850, Springer 2016, ISBN 978-3-319-45347-7 [contents] - [i2]Hoang Nguyen, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Suriadi Suriadi:
Business Process Deviance Mining: Review and Evaluation. CoRR abs/1608.08252 (2016) - [i1]