Jochen De Weerdt

About Jochen De Weerdt

Jochen De Weerdt, With an exceptional h-index of 31 and a recent h-index of 24 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of Information Systems, Business Process Management, Process Mining, Data Mining.

His recent articles reflect a diverse array of research interests and contributions to the field:

Predictive process model monitoring using long short-term memory networks

Industry-sensitive language modeling for business

Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning

SHINE: A Scalable Heterogeneous Inductive Graph Neural Network for Large Imbalanced Datasets

Validation set sampling strategies for predictive process monitoring

Research Centre for Information Systems Engineering (LIRIS), Faculty of Economics and Business, KU Leuven, Leuven, Belgium {hans. weytjens, wouter. verbeke, jochen. deweerdt …

Forecasting business process models

An Expert-Validated Bridging Model for IoT Process Mining

Jochen De Weerdt Information

University

Position

___

Citations(all)

3105

Citations(since 2020)

2111

Cited By

1618

hIndex(all)

31

hIndex(since 2020)

24

i10Index(all)

62

i10Index(since 2020)

51

Email

University Profile Page

Google Scholar

Jochen De Weerdt Skills & Research Interests

Information Systems

Business Process Management

Process Mining

Data Mining

Top articles of Jochen De Weerdt

Predictive process model monitoring using long short-term memory networks

Engineering Applications of Artificial Intelligence

2024/7/1

Johannes De Smedt
Johannes De Smedt

H-Index: 16

Jochen De Weerdt
Jochen De Weerdt

H-Index: 19

Industry-sensitive language modeling for business

European Journal of Operational Research

2024/6/1

Efficient Information Extraction in Few-Shot Relation Classification through Contrastive Representation Learning

arXiv preprint arXiv:2403.16543

2024/3/25

Jochen De Weerdt
Jochen De Weerdt

H-Index: 19

Marie-Francine Moens
Marie-Francine Moens

H-Index: 33

SHINE: A Scalable Heterogeneous Inductive Graph Neural Network for Large Imbalanced Datasets

IEEE Transactions on Knowledge and Data Engineering

2024/3/25

Jochen De Weerdt
Jochen De Weerdt

H-Index: 19

Validation set sampling strategies for predictive process monitoring

Information Systems

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

2024/2/11

Jochen De Weerdt
Jochen De Weerdt

H-Index: 19

Forecasting business process models

2024/2/9

Johannes De Smedt
Johannes De Smedt

H-Index: 16

Jochen De Weerdt
Jochen De Weerdt

H-Index: 19

An Expert-Validated Bridging Model for IoT Process Mining

Business & Information Systems Engineering

2024/2/8

Jochen De Weerdt
Jochen De Weerdt

H-Index: 19

Estefanía Serral
Estefanía Serral

H-Index: 13

Global conformance checking measures using shallow representation and deep learning

Engineering Applications of Artificial Intelligence

2023/8/1

Machine Learning for Predictive and Prescriptive Process Monitoring

2023/6/23

Jochen De Weerdt
Jochen De Weerdt

H-Index: 19

Timing Process Interventions with Causal Inference and Reinforcement Learning

arXiv preprint arXiv:2306.04299

2023/6/7

Wouter Verbeke
Wouter Verbeke

H-Index: 17

Jochen De Weerdt
Jochen De Weerdt

H-Index: 19

Manifold learning in predictive process monitoring

Welcome to ORBEL 37

2023/5/26

A Survey of Methods and Input Data Types for House Price Prediction

2023/5

Jochen De Weerdt
Jochen De Weerdt

H-Index: 19

A two-step anomaly detection based method for PU classification in imbalanced data sets

Data Mining and Knowledge Discovery

2023/5

Process model forecasting and change exploration using time series analysis of event sequence data

Data & Knowledge Engineering

2023/5/1

Extending business failure prediction models with textual website content using deep learning

European Journal of Operational Research

2023/4/1

Hellinger distance decision trees for PU learning in imbalanced data sets

Machine Learning

2023/3/28

A direct data aware LSTM neural network architecture for complete remaining trace and runtime prediction

IEEE Transactions on Services Computing

2023/2/16

Deep Learning for Process and Business Analytics

2023/1/26

Network Representation Learning for Fraud Detection

2023/1/18

Jochen De Weerdt
Jochen De Weerdt

H-Index: 19

Bart Baesens
Bart Baesens

H-Index: 52

See List of Professors in Jochen De Weerdt University(Katholieke Universiteit Leuven)

Co-Authors

academic-engine