- Comparing User Perspectives in a Virtual Reality Cultural Heritage Environment.
Chiara Lucifora, Misael Mongiovì, Luana Bulla, Stefano De Giorgis and Aldo Gangemi.
- Can Information System Engineering Make Cyber-Human Systems Smarter?
Steven Alter.
- Perceptual Risk-Aware Adaptive Responsibility Sensitive Safety for Autonomous Driving.
Xiwei Li, Xi Wu, Yongxin Zhao and Yongjian Li.
- Extracting Event Data from Document-Driven Enterprise Systems.
Diego Calvanese, Mieke Jans, Tahir Emre Kalayci and Marco Montali.
- Event Data-Driven Feasibility Checking of Process Schedules.
Hannes Häfke and Sebastiaan van Zelst.
- Comparing Trace Similarity Metrics across Logs and Evaluation Measures.
Christoffer Olling Back and Jakob Grue Simonsen.
- Modeling Context-Aware Events and Responses in an IoT Environment.
Marc Vila, Maria-Ribera Sancho and Ernest Teniente.
- Modular Quality-of-Service Analysis of Software Design Models for Cyber-Physical Systems.
Riccardo Pinciroli, Raffaela Mirandola and Catia Trubiani.
- Unsupervised Task Recognition from User Interaction Streams.
Adrian Rebmann and Han van der Aa.
- Revealing the importance of Setting Parameters in Declarative Discovery Algorithms: A evolutionary-based methodology.
Vanessa Pradas Fernández, Ángel Jesús Varela-Vaca and María Teresa Gómez López.
- Why am I Waiting? Data-Driven Analysis of Waiting Times in Business Processes.
Katsiaryna Lashkevich, Fredrik Milani, David Chapela-Campa, Ihar Suvorau and Marlon Dumas.
- Where are the readings behind your concept maps? Annotation-driven Concept Mapping.
Oscar Díaz and Xabier Garmendia.
- Ontological representation of FAIR principles: A blueprint for FAIRer data sources.
Anna Bernasconi, Alberto García S., Giancarlo Guizzardi, Luiz Olavo Bonino da Silva Santos and Veda C. Storey.
- Enabling Representation Learning in Ontology-Driven Conceptual Modeling using Graph Neural Networks.
Syed Juned Ali, Giancarlo Guizzardi and Dominik Bork.
- Detecting Deviations Between External and Internal Regulatory Requirements for Improved Process Compliance Assessment.
Catherine Sai, Karolin Winter, Elsa Fernanda and Stefanie Rinderle-Ma.
- Verification of Quantitative Temporal Compliance Requirements in Process Descriptions over Event Logs.
Marisol Barrientos, Karolin Winter, Jürgen Mangler and Stefanie Rinderle-Ma.
- DOML: A New Modelling Approach To Infrastructure-as-Code.
Michele Chiari, Bin Xiang, Galia Novakova Nedeltcheva, Elisabetta Di Nitto, Lorenzo Blasi, Debora Benedetto and Laurentiu Niculut.
- Task Completeness Assessments in the Evolution of Domain-Specific Modelling Languages.
Vijanti Ramautar, Sergio España and Sjaak Brinkkemper.
- Lessons learned in model-based reverse engineering of large legacy systems.
Laura García-Borgoñón, Miguel Angel Barcelona, Armando J Egea, German Reyes, Alejandro Sainz de la Maza and Adolfo Gonzalez.
- Design and Evaluation of a User Interface Concept for Prescriptive Process Monitoring.
Kateryna Kubrak, Fredrik Milani, Alexander Nolte and Marlon Dumas.
- Learning When to Treat Business Processes: Prescriptive Process Monitoring with Causal Inference and Reinforcement Learning.
Zahra Dasht Bozorgi, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy, Mahmoud Shoush and Irene Teinemaa.
- Model-Agnostic Event Log Augmentation for Predictive Process Monitoring.
Martin Käppel and Stefan Jablonski.
- Designing Secure and Privacy-Preserving Information Systems for Industry Benchmarking.
Jan Pennekamp, Johannes Lohmöller, Eduard Vlad, Joscha Loos, Niklas Rodemann, Patrick Sapel, Ina Berenice Fink, Seth Schmitz, Christian Hopmann, Matthias Jarke, Günther Schuh, Klaus Wehrle and Martin Henze.
- PMDG: Privacy for Multi-perspective Process Mining through Data Generalization.
Ryan Hildebrant, Stephan Fahrenkrog-Petersen, Matthias Weidlich and Shangping Ren.
- Impact of Forensic-Ready Information Systems on the Security Posture.
Lukas Daubner, Raimundas Matulevicius, Barbora Buhnova, Matej Antol, Michal Růžička and Tomáš Pitner.
- Simulating and Analyzing Crowdsourcing Impacts in Flooding Management: a geo-spatial agent-based approach. Chihab Hanachi, Patricia Stolf and Aurelien Richa.
- A Data-Centric Approach For Reducing Carbon Emissions in Deep Learning.
Martín Anselmo and Monica Vitali.
- CREATED: Generating Viable Counterfactual Sequences for Predictive Process Analytics.
Olusanmi Hundogan, Xixi Lu, Yupei Du and Hajo A. Reijers.
- Counterfactuals and Ways to Build Them: Benchmarking Approaches in Predictive Process Monitoring.
Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini and Fabrizio Maria Maggi.
- C-3PA: Streaming Conformance, Confidence and Completeness in Prefix-Alignments.
Kristo Raun, Max Nielsen, Andrea Burattin and Ahmed Awad.
- Supporting Provenance and Data Awareness in Exploratory Process Mining.
Francesca Zerbato, Andrea Burattin, Hagen Völzer, Paul Nelson Becker, Elia Boscaini and Barbara Weber.
- Bridging research fields: An empirical study on joint, neural relation extraction techniques.
Lars Ackermann, Julian Neuberger, Martin Käppel and Stefan Jablonski.
- Leave Well Enough Alone: Configuration Optimization with Limited Functional Impact.
Edouard Guégain, Clément Quinton and Amir Taherkordi.
- Identifying and Removing the Ghosts of Reproducibility in Service Recommendation Research.
Tianyu Jiang, Mingyi Liu, Zhiying Tu and Zhongjie Wang.
- A Resource-Constrained Multi-level SLA Customization Approach based on QoE Analysis of Large-scale Customers.
Min Li, Hanchuan Xu, Xiaofei Xu and Zhongjie Wang.
- Request relaxation based-on provider constraints for a capability-based NaaS services discovery.
Imen Jerbi, Hayet Brabra, Mohamed Sellami, Walid Gaaloul, Sami Bhiri, Boualem Benatallah, Djamal Zeghlache and Olivier Tirat.