Jochen De Weerdt
Katholieke Universiteit Leuven
H-index: 31
Europe-Belgium
Top articles of Jochen De Weerdt
Title | Journal | Author(s) | Publication Date |
|---|---|---|---|
An Expert-Validated Bridging Model for IoT Process Mining | Business & Information Systems Engineering | Yannis Bertrand Jochen De Weerdt Estefanía Serral | 2024/2/8 |
Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning | arXiv preprint arXiv:2403.16543 | Philipp Borchert Jochen De Weerdt Marie-Francine Moens | 2024/3/25 |
SHINE: A Scalable Heterogeneous Inductive Graph Neural Network for Large Imbalanced Datasets | IEEE Transactions on Knowledge and Data Engineering | Rafaël Van Belle Jochen De Weerdt | 2024/3/25 |
Validation set sampling strategies for predictive process monitoring | Information Systems | Jari Peeperkorn Seppe vanden Broucke Jochen De Weerdt | 2024/3/1 |
Research Centre for Information Systems Engineering (LIRIS), Faculty of Economics and Business, KU Leuven, Leuven, Belgium {hans. weytjens, wouter. verbeke, jochen. deweerdt … | Business Process Management Workshops: BPM 2023 International Workshops, Utrecht, The Netherlands, September 11–15, 2023, Revised Selected Papers | Hans Weytjens ID Wouter Verbeke Jochen De Weerdt | 2024/2/11 |
Predictive process model monitoring using long short-term memory networks | Engineering Applications of Artificial Intelligence | Johannes De Smedt Jochen De Weerdt | 2024/7/1 |
Forecasting business process models | Jente Van Belle Johannes De Smedt Artem Polyvyanyy Jochen De Weerdt | 2024/2/9 | |
Industry-sensitive language modeling for business | European Journal of Operational Research | Philipp Borchert Kristof Coussement Jochen De Weerdt Arno De Caigny | 2024/6/1 |
Investigating Bias in Multilingual Language Models: Cross-Lingual Transfer of Debiasing Techniques | arXiv preprint arXiv:2310.10310 | Manon Reusens Philipp Borchert Margot Mieskes Jochen De Weerdt Bart Baesens | 2023/10/16 |
Deep Learning for Process and Business Analytics | Björn Rafn Gunnarsson | 2023/1/26 | |
A two-step anomaly detection based method for PU classification in imbalanced data sets | Data Mining and Knowledge Discovery | Carlos Ortega Vázquez Seppe vanden Broucke Jochen De Weerdt | 2023/5 |
Global conformance checking measures using shallow representation and deep learning | Engineering Applications of Artificial Intelligence | Jari Peeperkorn Seppe vanden Broucke Jochen De Weerdt | 2023/8/1 |
Process-Data Quality: The True Frontier of Process Mining | ACM Journal of Data and Information Quality | Arthur HM Ter Hofstede Agnes Koschmider Andrea Marrella Robert Andrews Dominik A Fischer | 2023/9/28 |
Vector Representation for Business Process: Graph Embedding for Domain Knowledge Integration | Thais Rodrigues Neubauer Jari Peeperkorn Sarajane Marques Peres Jochen De Weerdt Marcelo Fantinato | 2023/12/15 | |
Network Representation Learning for Fraud Detection | Rafaël Van Belle Jochen De Weerdt Bart Baesens | 2023/1/18 | |
Process model forecasting and change exploration using time series analysis of event sequence data | Data & Knowledge Engineering | Johannes De Smedt Anton Yeshchenko Artem Polyvyanyy Jochen De Weerdt Jan Mendling | 2023/5/1 |
Machine Learning for Predictive and Prescriptive Process Monitoring | Hans Weytjens Jochen De Weerdt | 2023/6/23 | |
Timed Process Interventions: Causal Inference vs. Reinforcement Learning | Hans Weytjens Wouter Verbeke Jochen De Weerdt | 2023/9/11 | |
Manifold Learning for Adversarial Robustness in Predictive Process Monitoring | Alexander Stevens Jari Peeperkorn Johannes De Smedt Jochen De Weerdt | 2023/10/23 | |
CATCHM: A novel network-based credit card fraud detection method using node representation learning | Decision Support Systems | Rafaël Van Belle Bart Baesens Jochen De Weerdt | 2023/1/1 |
Co-Authors
