Automatically Extracting Insurance Contract Knowledge Using NLP. - Alexandre Goossens; Laure Berth; Emilia Decoene; Ziboud Van Veldhoven; Jan Vanthienen (BIS (Workshops), 2021)

A Scoping Review of the Digital Transformation Literature Using Scientometric Analysis. - Ziboud Van Veldhoven; Vedavyas Etikala; Alexandre Goossens; Jan Vanthienen (BIS, 2021)

Extracting Decision Dependencies and Decision Logic from Text Using Deep Learning Techniques. - Alexandre Goossens; Michelle Claessens; Charlotte Parthoens; Jan Vanthienen (Business Process Management Workshops, 2021)

Automatic Generation of Intelligent Chatbots from DMN Decision Models. - Vedavyas Etikala; Alexandre Goossens; Ziboud Van Veldhoven; Jan Vanthienen (RuleML+RR, 2021)

Deep Learning for the Identification of Decision Modelling Components from Text. - Alexandre Goossens; Michelle Claessens; Charlotte Parthoens; Jan Vanthienen (RuleML+RR, 2021)

Automated Intelligent Assistance with Explainable Decision Models in Knowledge-Intensive Processes. - Alexandre Goossens; Ulysse Maes; Yves Timmermans; Jan Vanthienen (Business Process Management Workshops, 2022)

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

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)

GPT-3 for Decision Logic Modeling. - Alexandre Goossens; Simon Vandevelde; Jan Vanthienen; Joost Vennekens (RuleML+RR (Companion), 2023)

Integrating GPT-Technologies with Decision Models for Explainability. - Alexandre Goossens; Jan Vanthienen (xAI (3), 2023)

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

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

From Text to Intelligent Services in Knowledge Intensive Decision Processes: Text2Chat. - Jan Vanthienen; Alexandre Goossens (HICSS, 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)

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

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

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)