Marlon Dumas

ORCID

Publication Activity (10 Years)

Years Active: 1997-2024
Publications (10 Years): 192

Top Venues

Joseph Fourier University, Grenoble, France (PHD)

Education History

Joseph Fourier University, Grenoble, France

PHD

Publications

Daniel Barón-Espitia, Marlon Dumas, Oscar González Rojas
Automated generation of process simulation scenarios from declarative control-flow changes. PeerJ Comput. Sci. 10 (2024)
David Chapela-Campa, Marlon Dumas
Enhancing business process simulation models with extraneous activity delays. Inf. Syst. 122 (2024)
Orlenys López-Pintado, Marlon Dumas, Jonas Berx
Discovery, simulation, and optimization of business processes with differentiated resources. Inf. Syst. 120 (2024)
Muhammad Awais Ali, Marlon Dumas, Fredrik Milani
Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes. RCIS (1) (2024)
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
Prescriptive process monitoring based on causal effect estimation. Inf. Syst. 116 (2023)
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 (2023)
Muhammad Awais Ali, Marlon Dumas, Fredrik Milani
Enhancing the Accuracy of Predictors of Activity Sequences of Business Processes. CoRR (2023)
Manuel Camargo, Daniel Báron, Marlon Dumas, Oscar González Rojas
Learning business process simulation models: A Hybrid process mining and deep learning approach. Inf. Syst. 117 (2023)
Orlenys López-Pintado, Marlon Dumas
Discovery and Simulation of Business Processes with Probabilistic Resource Availability Calendars. ICPM (2023)
David Chapela-Campa, Ismail Benchekroun, Opher Baron, Marlon Dumas, Dmitry Krass, Arik Senderovich
Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models. BPM (2023)
Mahmoud Shoush, Marlon Dumas
Prescriptive Process Monitoring Under Resource Constraints: A Reinforcement Learning Approach. CoRR (2023)
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. CAiSE (2023)
David Chapela-Campa, Marlon Dumas
From process mining to augmented process execution. Softw. Syst. Model. 22 (6) (2023)
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) (2023)
Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas
Why Am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes. CAiSE (2023)
Iris Beerepoot, Claudio Di Ciccio, Hajo A. Reijers, Stefanie Rinderle-Ma, Wasana Bandara, Andrea Burattin, Diego Calvanese, Tianwa Chen, Izack Cohen, Benoît Depaire, Gemma Di Federico, Marlon Dumas, Christopher G. J. van Dun, Tobias Fehrer, Dominik Andreas Fischer, Avigdor Gal, Marta Indulska, Vatche Isahagian, Christopher Klinkmüller, Wolfgang Kratsch, Henrik Leopold, Amy Van Looy, Hugo A. López, Sanja Lukumbuzya, Jan Mendling, Lara Meyers, Linda Moder, Marco Montali, Vinod Muthusamy, Manfred Reichert, Yara Rizk, Michael Rosemann, Maximilian Röglinger, Shazia Sadiq, Ronny Seiger, Tijs Slaats, Mantas Simkus, Ida Asadi Someh, Barbara Weber, Ingo Weber, Mathias Weske, Francesca Zerbato
The biggest business process management problems to solve before we die. Comput. Ind. 146 (2023)
David Chapela-Campa, Ismail Benchekroun, Opher Baron, Marlon Dumas, Dmitry Krass, Arik Senderovich
Can I Trust My Simulation Model? Measuring the Quality of Business Process Simulation Models. CoRR (2023)
Kateryna Kubrak, Lana Botchorishvili, Fredrik Milani, Marlon Dumas, Alexander Nolte, Mahmoud Shoush, Zhaosi Qu
Kairos: A Tool for Prescriptive Monitoring of Business Processes. ICPM Doctoral Consortium / Demo (2023)
Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas
Kronos: Discovery and Analysis of Waiting Time Causes. ICPM Doctoral Consortium / Demo (2023)
Katsiaryna Lashkevich, Lino Moises Mediavilla Ponce, Manuel Camargo, Fredrik Milani, Marlon Dumas
Discovery of Improvement Opportunities in Knock-Out Checks of Business Processes. RCIS (2023)
Gamal Elkoumy, Alisa Pankova, Marlon Dumas
Differentially private release of event logs for process mining. Inf. Syst. 115 (2023)
Kateryna Kubrak, Fredrik Milani, Alexander Nolte, Marlon Dumas
Design and Evaluation of a User Interface Concept for Prescriptive Process Monitoring. CAiSE (2023)
Mahmoud Shoush, Marlon Dumas
Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes. PMAI@IJCAI (2023)
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) (2022)
Mahmoud Shoush, Marlon Dumas
When to Intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints. BPM (Forum) (2022)
Gamal Elkoumy, Alisa Pankova, Marlon Dumas
Differentially Private Release of Event Logs for Process Mining. CoRR (2022)
Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Marlon Dumas
Data-Driven Analysis of Batch Processing Inefficiencies in Business Processes. RCIS (2022)
Mahmoud Shoush, Marlon Dumas
When to intervene? Prescriptive Process Monitoring Under Uncertainty and Resource Constraints. CoRR (2022)
David Chapela-Campa, Marlon Dumas
Modeling Extraneous Activity Delays in Business Process Simulation. ICPM (2022)
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)
Jongchan Kim, Marco Comuzzi, Marlon Dumas, Fabrizio Maria Maggi, Irene Teinemaa
Encoding resource experience for predictive process monitoring. Decis. Support Syst. 153 (2022)
Dirk Fahland, Chiara Ghidini, Marlon Dumas, Manfred Reichert
Special issue: BPM 2020 Selected Papers in Foundations and Engineering. Inf. Syst. 109 (2022)
David Chapela-Campa, Marlon Dumas, Manuel Mucientes, Manuel Lama
Efficient edge filtering of directly-follows graphs for process mining. Inf. Sci. 610 (2022)
Mahmoud Shoush, Marlon Dumas
Intervening With Confidence: Conformal Prescriptive Monitoring of Business Processes. CoRR (2022)
Pavlo Tertychnyi, Tommy Lindström, Changling Liu, Marlon Dumas
Detecting Group Behavior for Anti-Money Laundering With Incomplete Network Information. Big Data (2022)
Orlenys López-Pintado, Marlon Dumas
Business Process Simulation with Differentiated Resources: Does it Make a Difference? CoRR (2022)
Gamal Elkoumy, Marlon Dumas
Libra: High-Utility Anonymization of Event Logs for Process Mining via Subsampling. CoRR (2022)
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 (2022)
Orlenys López-Pintado, Marlon Dumas
Business Process Simulation with Differentiated Resources: Does it Make a Difference? BPM (2022)
Kateryna Kubrak, Fredrik Milani, Alexander Nolte, Marlon Dumas
? PeerJ Comput. Sci. 8 (2022)
Orlenys López-Pintado, Iryna Halenok, Marlon Dumas
Prosimos: Discovering and Simulating Business Processes with Differentiated Resources. EDOC Workshops (2022)
Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau, Marlon Dumas
Why am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes. CoRR (2022)
Gamal Elkoumy, Marlon Dumas
Libra: High-Utility Anonymization of Event Logs for Process Mining via Subsampling. ICPM (2022)
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) (2022)
Marlon Dumas, Luciano García-Bañuelos, Joosep Jääger, Peeter Laud, Raimundas Matulevicius, Alisa Pankova, Martin Pettai, Pille Pullonen-Raudvere, Aivo Toots, Reedik Tuuling, Maksym Yerokhin
Multi-level privacy analysis of business processes: the Pleak toolset. Int. J. Softw. Tools Technol. Transf. 24 (2) (2022)
David Chapela-Campa, Marlon Dumas
Modeling Extraneous Activity Delays in Business Process Simulation. CoRR (2022)
Manuel Camargo, Marlon Dumas, Oscar González Rojas
Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning. CAiSE (2022)
Gamal Elkoumy, Alisa Pankova, Marlon Dumas
Amun: A tool for Differentially Private Release of Event Logs for Process Mining (Extended Abstract). ICPM Doctoral Consortium / Demo (2022)
Daniel Barón-Espitia, Marlon Dumas, Oscar González Rojas
Coral: Conversational What-If Process Analysis (Extended Abstract). ICPM Doctoral Consortium / Demo (2022)
David Chapela-Campa, Marlon Dumas
Repairing Activity Start Times to Improve Business Process Simulation. CoRR (2022)
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 (2022)
Veronika Plotnikova, Marlon Dumas, Fredrik P. Milani
Applying the CRISP-DM data mining process in the financial services industry: Elicitation of adaptation requirements. Data Knowl. Eng. 139 (2022)
Orlenys López-Pintado, Marlon Dumas, Luciano García-Bañuelos, Ingo Weber
Controlled flexibility in blockchain-based collaborative business processes. Inf. Syst. 104 (2022)
Marlon Dumas
Constructing Digital Twins for Accurate and Reliable What-If Business Process Analysis. Problems@BPM (2021)
Mieke Jans, Jochen De Weerdt, Benoît Depaire, Marlon Dumas, Gert Janssenswillen
Conformance Checking in Process Mining. Inf. Syst. 102 (2021)
Manuel Camargo, Marlon Dumas, Oscar González Rojas
Discovering generative models from event logs: data-driven simulation vs deep learning. PeerJ Comput. Sci. 7 (2021)
Adriano Augusto, Marlon Dumas, Marcello La Rosa
Automated Discovery of Process Models with True Concurrency and Inclusive Choices. CoRR (2021)
Gamal Elkoumy, Alisa Pankova, Marlon Dumas
Mine Me but Don't Single Me Out: Differentially Private Event Logs for Process Mining. CoRR (2021)
Volodymyr Leno, Adriano Augusto, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy
Discovering executable routine specifications from user interaction logs. CoRR (2021)
Marlon Dumas
Mine Your Simulation Model: Automated Discovery of Business Process Simulation Models from Execution Data. SIMULTECH (2021)
Bedilia Estrada-Torres, Manuel Camargo, Marlon Dumas, Luciano García-Bañuelos, Ibrahim Mahdy, Maksym Yerokhin
Discovering business process simulation models in the presence of multitasking and availability constraints. Data Knowl. Eng. 134 (2021)
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) (2021)
Farbod Taymouri, Marcello La Rosa, Marlon Dumas, Fabrizio Maria Maggi
Business process variant analysis: Survey and classification. Knowl. Based Syst. 211 (2021)
Kateryna Kubrak, Fredrik Milani, Alexander Nolte, Marlon Dumas
Prescriptive Process Monitoring: Quo Vadis? CoRR (2021)
Gamal Elkoumy, Alisa Pankova, Marlon Dumas
Utility-aware Event Log Anonymization for Privacy-Preserving Process Mining. EMISA Forum 41 (1) (2021)
Volodymyr Leno, Artem Polyvyanyy, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi
Robotic Process Mining: Vision and Challenges. Bus. Inf. Syst. Eng. 63 (3) (2021)
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. CoRR (2021)
Mahmoud Shoush, Marlon Dumas
Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach. ICPM Workshops (2021)
Manuel Camargo, Marlon Dumas, Oscar González Rojas
Learning Accurate Business Process Simulation Models from Event Logs via Automated Process Discovery and Deep Learning. CoRR (2021)
Mahmoud Shoush, Marlon Dumas
Prescriptive Process Monitoring Under Resource Constraints: A Causal Inference Approach. CoRR (2021)
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)
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) (2021)
Adriano Augusto, Ahmed Awad, Marlon Dumas
Efficient Checking of Temporal Compliance Rules Over Business Process Event Logs. CoRR (2021)
Veronika Plotnikova, Marlon Dumas, Fredrik Milani
Adapting the CRISP-DM Data Mining Process: A Case Study in the Financial Services Domain. RCIS (2021)
Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy
Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction. ICPM (2021)
Gamal Elkoumy, Alisa Pankova, Marlon Dumas
Mine Me but Don't Single Me Out: Differentially Private Event Logs for Process Mining. ICPM (2021)
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 (2020)
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 (2020)
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 (2020)
Abderrahmane Maaradji, Marlon Dumas, Marcello La Rosa, Alireza Ostovar
Detecting sudden and gradual drifts in business processes from execution traces. CoRR (2020)
Volodymyr Leno, Marlon Dumas, Marcello La Rosa, Fabrizio Maria Maggi, Artem Polyvyanyy
Automated Discovery of Data Transformations for Robotic Process Automation. CoRR (2020)
Manuel Camargo, Marlon Dumas, Oscar González
Automated discovery of business process simulation models from event logs. Decis. Support Syst. 134 (2020)
Adriano Augusto, Marlon Dumas, Marcello La Rosa
Automated Discovery of Process Models with True Concurrency and Inclusive Choices. ICPM Workshops (2020)
Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas, Peeter Laud, Alisa Pankova, Matthias Weidlich
Secure Multi-party Computation for Inter-organizational Process Mining. BPMDS/EMMSAD@CAiSE (2020)
Veronika Plotnikova, Marlon Dumas, Fredrik Milani
Adaptations of data mining methodologies: a systematic literature review. PeerJ Comput. Sci. 6 (2020)
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)
Bedilia Estrada-Torres, Manuel Camargo, Marlon Dumas, Maksym Yerokhin
Discovering Business Process Simulation Models in the Presence of Multitasking. RCIS (2020)
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)
Pavlo Tertychnyi, Ivan Slobozhan, Madis Ollikainen, Marlon Dumas
Scalable and Imbalance-Resistant Machine Learning Models for Anti-money Laundering: A Two-Layered Approach. FinanceCom (2020)
Gamal Elkoumy, Stephan A. Fahrenkrog-Petersen, Marlon Dumas, Peeter Laud, Alisa Pankova, Matthias Weidlich
Shareprom: A Tool for Privacy-Preserving Inter-Organizational Process Mining. BPM (PhD/Demos) (2020)
Manuel Camargo, Marlon Dumas, Oscar González Rojas
Discovering Generative Models from Event Logs: Data-driven Simulation vs Deep Learning. CoRR (2020)
Gamal Elkoumy, Alisa Pankova, Marlon Dumas
Privacy-Preserving Directly-Follows Graphs: Balancing Risk and Utility in Process Mining. CoRR (2020)
Bedilia Estrada-Torres, Manuel Camargo, Marlon Dumas, Maksym Yerokhin
Discovering Business Process Simulation Models in the Presence of Multitasking. CoRR (2020)
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)
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 (2020)
Sara Belluccini, Rocco De Nicola, Marlon Dumas, Pille Pullonen, Barbara Re, Francesco Tiezzi
Verification of Privacy-Enhanced Collaborations. FormaliSE@ICSE (2020)
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 (2019)
Orlenys López-Pintado, Marlon Dumas, Luciano García-Bañuelos, Ingo Weber
Interpreted Execution of Business Process Models on Blockchain. CoRR (2019)
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)
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) (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Marlon Dumas