Extending CPN Tools with Ontologies to Support the Management of Context-Adaptive Business Processes. - Estefanía Serral; Johannes De Smedt; Jan Vanthienen (Business Process Management Workshops, 2014)

Multi-paradigm Process Mining: Retrieving Better Models by Combining Rules and Sequences - (Short Paper). - Johannes De Smedt; Jochen De Weerdt; Jan Vanthienen (OTM Conferences, 2014)

Making Business Environments Smarter: A Context-Adaptive Petri Net Approach. - Estefanía Serral; Johannes De Smedt; Jan Vanthienen (UIC/ATC/ScalCom, 2014)

Gamification of Declarative Process Models for Learning and Model Verification. - Johannes De Smedt; Jochen De Weerdt; Estefanía Serral; Jan Vanthienen (Business Process Management Workshops, 2015)

Fusion Miner: Process discovery for mixed-paradigm models. - Johannes De Smedt; Jochen De Weerdt; Jan Vanthienen (Decis. Support Syst., 2015)

Context-adaptive Petri nets: Supporting adaptation for the execution context. - Estefanía Serral; Johannes De Smedt; Monique Snoeck; Jan Vanthienen (Expert Syst. Appl., 2015)

Decision Mining in a Broader Context: An Overview of the Current Landscape and Future Directions. - Johannes De Smedt; Seppe K. L. M. vanden Broucke; Josué Obregon; Aekyung Kim; Jae-Yoon Jung 001; Jan Vanthienen (Business Process Management Workshops, 2016)

Model Checking of Mixed-Paradigm Process Models in a Discovery Context - Finding the Fit Between Declarative and Procedural. - Johannes De Smedt; Claudio Di Ciccio; Jan Vanthienen; Jan Mendling (Business Process Management Workshops, 2016)

Consistent Integration of Decision (DMN) and Process (BPMN) Models. - Laurent Janssens; Ekaterina Bazhenova; Johannes De Smedt; Jan Vanthienen; Marc Denecker (CAiSE Forum, 2016)

Modeling and Enacting Enterprise Decisions. - Laurent Janssens; Johannes De Smedt; Jan Vanthienen (CAiSE Workshops, 2016)

Improving Understandability of Declarative Process Models by Revealing Hidden Dependencies. - Johannes De Smedt; Jochen De Weerdt; Estefanía Serral; Jan Vanthienen (CAiSE, 2016)

Mixed-Paradigm Process Modeling with Intertwined State Spaces. - Johannes De Smedt; Jochen De Weerdt; Jan Vanthienen; Geert Poels (Bus. Inf. Syst. Eng., 2016)

Erratum to: Mixed-Paradigm Process Modeling with Intertwined State Spaces. - Johannes De Smedt; Jochen De Weerdt; Jan Vanthienen; Geert Poels (Bus. Inf. Syst. Eng., 2016)

Studies on declarative process modeling and its relation to procedural techniques. - Johannes De Smedt (2016)

Dropout Prediction in MOOCs: A Comparison Between Process and Sequence Mining. - Galina Deeva; Johannes De Smedt; Pieter De Koninck; Jochen De Weerdt (Business Process Management Workshops, 2017)

Challenges in Refactoring Processes to Include Decision Modelling. - Faruk Hasic; Lesly Devadder; Maxim Dochez; Jonas Hanot; Johannes De Smedt; Jan Vanthienen (Business Process Management Workshops, 2017)

Studies on Declarative Process Modeling and Its Relation to Procedural Techniques. - Johannes De Smedt (BPM (Demos), 2017)

Towards a Holistic Discovery of Decisions in Process-Aware Information Systems. - Johannes De Smedt; Faruk Hasic; Seppe K. L. M. vanden Broucke; Jan Vanthienen (BPM, 2017)

Towards Assessing the Theoretical Complexity of the Decision Model and Notation (DMN). - Faruk Hasic; Johannes De Smedt; Jan Vanthienen (RADAR+EMISA@CAiSE, 2017)

Support for Verifying Pervasive Behavior by Mapping Task Models to Petri Nets. - Estefanía Serral; Johannes De Smedt; Monique Snoeck (SEAA, 2017)

A Service-Oriented Architecture Design of Decision-Aware Information Systems: Decision as a Service - (Short Paper). - Faruk Hasic; Johannes De Smedt; Jan Vanthienen (OTM Conferences (1), 2017)

Developing a Modelling and Mining Framework for Integrated Processes and Decisions. - Faruk Hasic; Johannes De Smedt; Jan Vanthienen (OTM Workshops, 2017)

Behavioral Constraint Template-Based Sequence Classification. - Johannes De Smedt; Galina Deeva; Jochen De Weerdt (ECML/PKDD (2), 2017)

Citizen Participation in Smart Cities: Evaluation Framework Proposal. - Anthony Simonofski; Estefanía Serral Asensio; Johannes De Smedt; Monique Snoeck (CBI (1), 2017)

Redesigning Processes for Decision-Awareness: Strategies for Integrated Modelling. - Faruk Hasic; Johannes De Smedt; Jan Vanthienen (QUATIC, 2018)

Augmenting processes with decision intelligence: Principles for integrated modelling. - Faruk Hasic; Johannes De Smedt; Jan Vanthienen (Decis. Support Syst., 2018)

Discovering hidden dependencies in constraint-based declarative process models for improving understandability. - Johannes De Smedt; Jochen De Weerdt; Estefanía Serral; Jan Vanthienen (Inf. Syst., 2018)

Mining Behavioural Patterns in Urban Mobility Sequences Using Foursquare Check-in Data from Tokyo. - Galina Deeva; Johannes De Smedt; Jochen De Weerdt; María Óskarsdóttir (COMPLEX NETWORKS (2), 2019)

Using Sequence Constraints for Modelling Network Interactions. - Johannes De Smedt; Junichiro Mori; Masanao Ochi (JSAI, 2019)

Hearing the Voice of Citizens in Smart City Design: The CitiVoice Framework. - Anthony Simonofski; Estefanía Serral Asensio; Johannes De Smedt; Monique Snoeck (Bus. Inf. Syst. Eng., 2019)

Holistic discovery of decision models from process execution data. - Johannes De Smedt; Faruk Hasic; Seppe K. L. M. vanden Broucke; Jan Vanthienen (Knowl. Based Syst., 2019)

Predictive Process Model Monitoring using Recurrent Neural Networks. - Johannes De Smedt; Jochen De Weerdt; Junichiro Mori; Masanao Ochi (CoRR, 2020)

Mining Behavioral Sequence Constraints for Classification. - Johannes De Smedt; Galina Deeva; Jochen De Weerdt (IEEE Trans. Knowl. Data Eng., 2020)

Supporting Data-Aware Processes with MERODE. - Monique Snoeck; Johannes De Smedt; Jochen De Weerdt (BPMDS/EMMSAD@CAiSE, 2021)

Process Model Forecasting Using Time Series Analysis of Event Sequence Data. - Johannes De Smedt; Anton Yeshchenko; Artem Polyvyanyy; Jochen De Weerdt; Jan Mendling (ER, 2021)

Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring. - Alexander Stevens; Johannes De Smedt; Jari Peeperkorn (ICPM Workshops, 2021)

Session stitching using sequence fingerprinting for web page visits. - Johannes De Smedt; Ewelina Lacka; Spyro Nita; Hans-Helmut Kohls; Ross Paton (Decis. Support Syst., 2021)

Conformance checking of mixed-paradigm process models. - Boudewijn F. van Dongen; Johannes De Smedt; Claudio Di Ciccio; Jan Mendling (Inf. Syst., 2021)

Enhancing Data-Awareness of Object-Centric Event Logs. - Alexandre Goossens; Johannes De Smedt; Jan Vanthienen; Wil M. P. van der Aalst (ICPM Workshops, 2022)

Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs. - Jari Peeperkorn; Carlos Ortega Vázquez; Alexander Stevens; Johannes De Smedt; Seppe vanden Broucke; Jochen De Weerdt (ICPM Workshops, 2022)

Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks. - Alexander Stevens; Johannes De Smedt; Jari Peeperkorn; Jochen De Weerdt (ICPM, 2022)

The detection and location estimation of disasters using Twitter and the identification of Non-Governmental Organisations using crowdsourcing. - Christopher Loynes; Jamal Ouenniche; Johannes De Smedt (Ann. Oper. Res., 2022)

Predicting student performance using sequence classification with time-based windows. - Galina Deeva; Johannes De Smedt; Cecilia Saint-Pierre; Richard Weber; Jochen De Weerdt (Expert Syst. Appl., 2022)

Educational Sequence Mining for Dropout Prediction in MOOCs: Model Building, Evaluation, and Benchmarking. - Galina Deeva; Johannes De Smedt; Jochen De Weerdt (IEEE Trans. Learn. Technol., 2022)

Decision as a Service (DaaS): A Service-Oriented Architecture Approach for Decisions in Processes. - Faruk Hasic; Johannes De Smedt; Seppe vanden Broucke; Estefanía Serral (IEEE Trans. Serv. Comput., 2022)

Aligning Object-Centric Event Logs with Data-Centric Conceptual Models. - Alexandre Goossens; Charlotte Verbruggen; Monique Snoeck; Johannes De Smedt; Jan Vanthienen (BPMDS/EMMSAD@CAiSE, 2023)

Signature-Based Community Detection for Time Series. - Marco Gregnanin; Johannes De Smedt; Giorgio Gnecco; Maurizio Parton (COMPLEX NETWORKS (2), 2023)

Comparing the Performance of GPT-3 with BERT for Decision Requirements Modeling. - Alexandre Goossens; Johannes De Smedt; Jan Vanthienen (CoopIS, 2023)

From OCEL to DOCEL - Datasets and Automated Transformation. - Alexandre Goossens; Adrian Rebmann; Johannes De Smedt; Jan Vanthienen; Han van der Aa (ICPM Workshops, 2023)

Manifold Learning for Adversarial Robustness in Predictive Process Monitoring. - Alexander Stevens; Jari Peeperkorn; Johannes De Smedt; Jochen De Weerdt (ICPM, 2023)

Stock Price Time Series Forecasting Using Dynamic Graph Neural Networks and Attention Mechanism in Recurrent Neural Networks. - Marco Gregnanin; Johannes De Smedt; Giorgio Gnecco; Maurizio Parton (PKDD/ECML Workshops (5), 2023)

Extracting Decision Model and Notation models from text using deep learning techniques. - Alexandre Goossens; Johannes De Smedt; Jan Vanthienen (Expert Syst. Appl., 2023)

Shopping Hard or Hardly Shopping: Revealing Consumer Segments Using Clickstream Data. - Melina Zavali; Ewelina Lacka; Johannes De Smedt (IEEE Trans. Engineering Management, 2023)

Process model forecasting and change exploration using time series analysis of event sequence data. - Johannes De Smedt; Anton Yeshchenko; Artem Polyvyanyy; Jochen De Weerdt; Jan Mendling (Data Knowl. Eng., 2023)

Supporting data-aware processes with MERODE. - Monique Snoeck; Charlotte Verbruggen; Johannes De Smedt; Jochen De Weerdt (Softw. Syst. Model., 2023)

Object-Centric Event Logs: Characteristics, Comparative Analysis and Road Map. - Alexandre Goossens; Johannes De Smedt; Jan Vanthienen (BPM (Forum), 2024)

A Generative Adversarial Graph Neural Network for Synthetic Time Series Data. - Marco Gregnanin; Johannes De Smedt; Giorgio Gnecco; Maurizio Parton (DS (LB), 2024)

Multivariate Approaches for Process Model Forecasting. - Yongbo Yu; Jari Peeperkorn; Johannes De Smedt; Jochen De Weerdt (ICPM Workshops, 2024)

Generating Feasible and Plausible Counterfactual Explanations for Outcome Prediction of Business Processes. - Alexander Stevens; Chun Ouyang 001; Johannes De Smedt; Catarina Moreira (CoRR, 2024)

Object-Centric Event Logs: Specifications, Comparative Analysis and Refinement. - Alexandre Goossens; Johannes De Smedt; Jan Vanthienen (CoRR, 2024)

Dynamic and Scalable Data Preparation for Object-Centric Process Mining. - Lien Bosmans; Jari Peeperkorn; Alexandre Goossens; Giovanni Lugaresi; Johannes De Smedt; Jochen De Weerdt (CoRR, 2024)

Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders. - Alexander Stevens; Jari Peeperkorn; Johannes De Smedt; Jochen De Weerdt (CoRR, 2024)

Predictive process model monitoring using long short-term memory networks. - Johannes De Smedt; Jochen De Weerdt (Eng. Appl. Artif. Intell., 2024)

Explainability in process outcome prediction: Guidelines to obtain interpretable and faithful models. - Alexander Stevens; Johannes De Smedt (Eur. J. Oper. Res., 2024)

Evaluating text classification: A benchmark study. - Manon Reusens; Alexander Stevens; Jonathan Tonglet; Johannes De Smedt; Wouter Verbeke; Seppe vanden Broucke; Bart Baesens (Expert Syst. Appl., 2024)

Extracting process-aware decision models from object-centric process data. - Alexandre Goossens; Johannes De Smedt; Jan Vanthienen (Inf. Sci., 2024)

Data-driven internal mobility: Similarity regularization gets the job done. - Simon De Vos; Johannes De Smedt; Marijke Verbruggen; Wouter Verbeke (Knowl. Based Syst., 2024)

A complex network analysis approach to bankruptcy prediction using company relational information-based drivers. - Jinxian Zhao; Jamal Ouenniche; Johannes De Smedt (Knowl. Based Syst., 2024)

iDOCEM: Supplementary Material. - Charlotte Verbruggen; Alexandre Goossens; Johannes De Smedt; Jan Vanthienen; Monique Snoeck (Zenodo, 2024)

Index tracking via reparameterizable subset sampling in neural networks. - Yanyi Zhang; Johannes De Smedt (INFOR Inf. Syst. Oper. Res., 2024)

Signature-based portfolio allocation: a network approach. - Marco Gregnanin; Yanyi Zhang; Johannes De Smedt; Giorgio Gnecco; Maurizio Parton (Appl. Netw. Sci., 2024)

iDOCEM: defining a common terminology for object-centric event logging and data-centric process modelling. - Charlotte Verbruggen; Alexandre Goossens; Johannes De Smedt; Jan Vanthienen; Monique Snoeck (Softw. Syst. Model., 2025)

Correction: iDOCEM. - Charlotte Verbruggen; Alexandre Goossens; Johannes De Smedt; Jan Vanthienen; Monique Snoeck (Softw. Syst. Model., 2025)

SimBank: from Simulation to Solution in Prescriptive Process Monitoring. - Jakob De Moor; Hans Weytjens; Johannes De Smedt; Jochen De Weerdt (CoRR, 2025)

Model-driven Stochastic Trace Clustering. - Jari Peeperkorn; Johannes De Smedt; Jochen De Weerdt (CoRR, 2025)

Leveraging Machine Learning and Enhanced Parallelism Detection for BPMN Model Generation from Text. - Phuong Nam Lê; Charlotte Schneider-Depré; Alexandre Goossens; Alexander Stevens; Aurélie Leribaux; Johannes De Smedt (CoRR, 2025)

Crafting Imperceptible On-Manifold Adversarial Attacks for Tabular Data. - Zhipeng He 002; Alexander Stevens; Chun Ouyang 001; Johannes De Smedt; Alistair Barros; Catarina Moreira (CoRR, 2025)

Linking Actor Behavior to Process Performance Over Time. - Aurélie Leribaux; Rafael Oyamada; Johannes De Smedt; Zahra Dasht Bozorgi; Artem Polyvyanyy; Jochen De Weerdt (CoRR, 2025)