CoopIS B

29 papers

YearTitle / Authors
2025Cooperative Information Systems - 30th International Conference, CoopIS 2024, Porto, Portugal, November 19-21, 2024, Proceedings
Marco Comuzzi, Daniela Grigori, Mohamed Sellami, Zhangbing Zhou
2024A Decomposed Hybrid Approach to Business Process Modeling with LLMs.
Ali Nour Eldin, Nour Assy, Olan Anesini, Benjamin Dalmas, Walid Gaaloul
2024A User-Driven Hybrid Neuro-Symbolic Approach for Knowledge Graph Creation from Relational Data.
Jan-David Stütz, Oliver Karras, Allard Oelen, Sören Auer
2024Achieving Fairness in Predictive Process Analytics via Adversarial Learning.
Massimiliano de Leoni, Alessandro Padella
2024All Optimal k-Bounded Alignments Using the FM-Index.
Astrid Rivera-Partida, Abel Armas-Cervantes, Luciano García-Bañuelos, Luis Rodríguez-Flores
2024Assisted Data Annotation for Business Process Information Extraction from Textual Documents.
Julian Neuberger, Han van der Aa, Lars Ackermann, Daniel Buschek, Jannic Herrmann, Stefan Jablonski
2024Autoencoder-Based Detection of Delays, Handovers and Workloads over High-Level Events.
Irne Verwijst, Robin Mennens, Roeland Scheepens, Marwan Hassani
2024Automating Pathway Extraction from Clinical Guidelines: A Conceptual Model, Datasets and Initial Experiments.
Daniel Grathwol, Han van der Aa, Hugo A. López
2024Business Models, Business Processes and Information Systems: A Dynamic Network View.
Paul Grefen
2024Collaboration Miner: Discovering Collaboration Petri Nets.
Janik-Vasily Benzin, Stefanie Rinderle-Ma
2024Conversationally Actionable Process Model Creation.
Nataliia Klievtsova, Timotheus Kampik, Juergen Mangler, Stefanie Rinderle-Ma
2024Discovering Order-Inducing Features in Event Knowledge Graphs.
Christoffer Olling Back, Jakob Grue Simonsen
2024Enhancing Temporal Knowledge Graph Reasoning with Contrastive Learning and Self-attention Mechanisms.
Bao Tran Kim, Thanh Ngoc Le
2024Event Log Extraction for Process Mining Using Large Language Models.
Vinicius Stein Dani, Marcus Dees, Henrik Leopold, Kiran Busch, Iris Beerepoot, Jan Martijn E. M. van der Werf, Hajo A. Reijers
2024FleX: Interpreting Graph Neural Networks with Subgraph Extraction and Flexible Objective Estimation.
Duy Nguyen, Ngoc-Thanh Le, Bac Le
2024Graph Convolution Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs.
Hoa Dao, Nguyen Phan, Thanh Le
2024Handling Catastrophic Forgetting: Online Continual Learning for Next Activity Prediction.
Tamara Verbeek, Marwan Hassani
2024IML4DQ: Interactive Machine Learning for Data Quality with Applications in Credit Risk.
Elena Tiukhova, Adriano Salcuni, Can Oguz, Fabio Forte, Bart Baesens, Monique Snoeck
2024LabelIT: A Multi-cloud Resource Label Unification Tool.
Jeremy Mechouche, Marwa Mokni, Yann Ramusat
2024Nala2BPMN: Automating BPMN Model Generation with Large Language Models.
Ali Nour Eldin, Nour Assy, Olan Anesini, Benjamin Dalmas, Walid Gaaloul
2024Optimizing B-Trees for Memory-Constrained Flash Embedded Devices.
Nadir Ould-Khessal, Scott Fazackerley, Ramon Lawrence
2024Predictive Process Approach for Email Response Recommendations.
Ralph Bou Nader, Marwa Elleuch, Ikram Garfatta, Walid Gaaloul, Boualem Benatallah
2024Self-organising Approach to Anomaly Mitigation in the Cloud-to-Edge Continuum.
Bruno Faria, David Perez Abreu, Karima Velasquez, Marília Curado
2024SwiftMend: An Approach to Detect and Repair Activity Label Quality Issues in Process Event Streams.
Savandi Kalukapuge, Arthur H. M. ter Hofstede, Moe Thandar Wynn
2024TALOS: Task Level Autoscaler for Apache Flink.
Ourania Ntouni, Euripides G. M. Petrakis
2024TeaPie: A Tool for Efficient Annotation of Process Information Extraction Data.
Julian Neuberger, Jannic Herrmann, Martin Käppel, Han van der Aa, Stefan Jablonski
2024Towards Fairness-Aware Predictive Process Monitoring: Evaluating Bias Mitigation Techniques.
Mickaelle Caldeira da Silva, Marcelo Fantinato, Sarajane Marques Peres
2024Unsupervised Anomaly Detection of Prefixes in Event Streams Using Online Autoencoders.
Zyrako Musaj, Marwan Hassani
2024Using Eye-Tracking to Detect Search and Inference During Process Model Comprehension.
Amine Abbad-Andaloussi, Clemens Schreiber, Barbara Weber