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ORCIDAlexandre Goossens
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2020 – today
- 2025
[j4]Charlotte Verbruggen
, Alexandre Goossens, Johannes De Smedt, Jan Vanthienen, Monique Snoeck:
iDOCEM: defining a common terminology for object-centric event logging and data-centric process modelling. Softw. Syst. Model. 24(1): 9-33 (2025)- [j3]Charlotte Verbruggen, Alexandre Goossens, Johannes De Smedt, Jan Vanthienen, Monique Snoeck:
Correction: iDOCEM. Softw. Syst. Model. 24(1): 35 (2025) - 2024
- [j2]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen:
Extracting process-aware decision models from object-centric process data. Inf. Sci. 682: 121263 (2024) - [c14]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen:
Object-Centric Event Logs: Characteristics, Comparative Analysis and Road Map. BPM (Forum) 2024: 37-54 - [c13]Jan Vanthienen, Alexandre Goossens:
From Text to Intelligent Services in Knowledge Intensive Decision Processes: Text2Chat. HICSS 2024: 5992-6001 - [d1]Charlotte Verbruggen, Alexandre Goossens, Johannes De Smedt, Jan Vanthienen, Monique Snoeck:
iDOCEM: Supplementary Material. Zenodo, 2024
- [i5]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen:
Extracting Process-Aware Decision Models from Object-Centric Process Data. CoRR abs/2401.14847 (2024) - [i4]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen:
Object-Centric Event Logs: Specifications, Comparative Analysis and Refinement. CoRR abs/2405.12709 (2024) - [i3]Lien Bosmans, Jari Peeperkorn, Alexandre Goossens, Giovanni Lugaresi, Johannes De Smedt, Jochen De Weerdt:
Dynamic and Scalable Data Preparation for Object-Centric Process Mining. CoRR abs/2410.00596 (2024) - 2023
- [j1]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen:
Extracting Decision Model and Notation models from text using deep learning techniques. Expert Syst. Appl. 211: 118667 (2023) - [c12]Alexandre Goossens, Charlotte Verbruggen, Monique Snoeck, Johannes De Smedt, Jan Vanthienen:
Aligning Object-Centric Event Logs with Data-Centric Conceptual Models. BPMDS/EMMSAD@CAiSE 2023: 44-59 - [c11]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen:
Comparing the Performance of GPT-3 with BERT for Decision Requirements Modeling. CoopIS 2023: 448-458 - [c10]Alexandre Goossens, Adrian Rebmann, Johannes De Smedt, Jan Vanthienen, Han van der Aa:
From OCEL to DOCEL - Datasets and Automated Transformation. ICPM Workshops 2023: 70-83 - [c9]Alexandre Goossens, Simon Vandevelde, Jan Vanthienen, Joost Vennekens:
GPT-3 for Decision Logic Modeling. RuleML+RR (Companion) 2023 - [c8]Alexandre Goossens, Jan Vanthienen:
Integrating GPT-Technologies with Decision Models for Explainability. xAI (3) 2023: 428-448 - [i2]Alexandre Goossens, Adrian Rebmann, Johannes De Smedt, Jan Vanthienen, Han van der Aa:
From OCEL to DOCEL - Datasets and Automated Transformation. CoRR abs/2309.14092 (2023) - 2022
- [c7]Alexandre Goossens, Ulysse Maes, Yves Timmermans, Jan Vanthienen:
Automated Intelligent Assistance with Explainable Decision Models in Knowledge-Intensive Processes. Business Process Management Workshops 2022: 25-36 - [c6]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen, Wil M. P. van der Aalst:
Enhancing Data-Awareness of Object-Centric Event Logs. ICPM Workshops 2022: 18-30 - [i1]Alexandre Goossens, Johannes De Smedt, Jan Vanthienen, Wil M. P. van der Aalst:
Enhancing Data-Awareness of Object-Centric Event Logs. CoRR abs/2212.02858 (2022) - 2021
- [c5]Alexandre Goossens, Laure Berth, Emilia Decoene, Ziboud Van Veldhoven, Jan Vanthienen:
Automatically Extracting Insurance Contract Knowledge Using NLP. BIS (Workshops) 2021: 27-38 - [c4]Ziboud Van Veldhoven, Vedavyas Etikala, Alexandre Goossens, Jan Vanthienen:
A Scoping Review of the Digital Transformation Literature Using Scientometric Analysis. BIS 2021: 281-292 - [c3]Alexandre Goossens, Michelle Claessens, Charlotte Parthoens, Jan Vanthienen:
Extracting Decision Dependencies and Decision Logic from Text Using Deep Learning Techniques. Business Process Management Workshops 2021: 349-361 - [c2]Vedavyas Etikala, Alexandre Goossens, Ziboud Van Veldhoven, Jan Vanthienen:
Automatic Generation of Intelligent Chatbots from DMN Decision Models. RuleML+RR 2021: 142-157 - [c1]Alexandre Goossens, Michelle Claessens, Charlotte Parthoens, Jan Vanthienen:
Deep Learning for the Identification of Decision Modelling Components from Text. RuleML+RR 2021: 158-171
Coauthor Index
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