Bart Baesens

Bart Baesens

Katholieke Universiteit Leuven

H-index: 76

Europe-Belgium

About Bart Baesens

Bart Baesens, With an exceptional h-index of 76 and a recent h-index of 54 (since 2020), a distinguished researcher at Katholieke Universiteit Leuven, specializes in the field of Analytics, Data Science, Credit Risk, Fraud.

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

A new perspective on classification: optimally allocating limited resources to uncertain tasks

Predicting the demographics of Twitter users with programmatic weak supervision

Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI

Harnessing the power of transformers and data fusion in smart irrigation

Interpretable and accurate identification of job seekers at risk of long-term unemployment: explainable ML-based profiling

Discovering Unusual Study Patterns Using Anomaly Detection and XAI

Network analytics for insurance fraud detection: a critical case study

End-To-End Self-tuning Self-supervised Time Series Anomaly Detection

Bart Baesens Information

University

Position

Associate professor

Citations(all)

24087

Citations(since 2020)

11357

Cited By

17232

hIndex(all)

76

hIndex(since 2020)

54

i10Index(all)

199

i10Index(since 2020)

151

Email

University Profile Page

Katholieke Universiteit Leuven

Google Scholar

View Google Scholar Profile

Bart Baesens Skills & Research Interests

Analytics

Data Science

Credit Risk

Fraud

Top articles of Bart Baesens

Title

Journal

Author(s)

Publication Date

A new perspective on classification: optimally allocating limited resources to uncertain tasks

Decision Support Systems

Toon Vanderschueren

Bart Baesens

Tim Verdonck

Wouter Verbeke

2024/4/1

Predicting the demographics of Twitter users with programmatic weak supervision

TOP

Jonathan Tonglet

Astrid Jehoul

Manon Reusens

Michael Reusens

Bart Baesens

2024/2/8

Explainable Learning Analytics: Assessing the stability of student success prediction models by means of explainable AI

Decision Support Systems

Elena Tiukhova

Pavani Vemuri

Nidia López Flores

Anna Sigridur Islind

María Óskarsdóttir

...

2024/4/26

Harnessing the power of transformers and data fusion in smart irrigation

Applied Soft Computing

Boje Deforce

Bart Baesens

Jan Diels

Estefanía Serral Asensio

2024/2/1

Interpretable and accurate identification of job seekers at risk of long-term unemployment: explainable ML-based profiling

SN Computer Science

Wouter Dossche

Sarah Vansteenkiste

Bart Baesens

Wilfried Lemahieu

2024/4/9

Discovering Unusual Study Patterns Using Anomaly Detection and XAI

Elena Tiukhova

Pavani Vemuri

Maria Óskarsdóttir

Stephan Poelmans

Bart Baesens

...

2024/1/3

Network analytics for insurance fraud detection: a critical case study

European Actuarial Journal

Bruno Deprez

Felix Vandervorst

Wouter Verbeke

Tim Verdonck

Bart Baesens

2024/4/9

End-To-End Self-tuning Self-supervised Time Series Anomaly Detection

arXiv preprint arXiv:2404.02865

Boje Deforce

Meng-Chieh Lee

Bart Baesens

Estefanía Serral Asensio

Jaemin Yoo

...

2024/4/3

Fraud analytics: a research

Journal of Chinese Economic and Business Studies

Bart Baesens

2023/1/2

Learning analytics tells: Know your basics and go to class

CEUR Workshop Proceedings

Elena Tiukhova

Charlotte Verbruggen

Bart Baesens

Monique Snoeck

2023/9/8

MultiMix TFT: A Multi-task Mixed-Frequency Framework with Temporal Fusion Transformers

Boje Deforce

Bart Baesens

Jan Diels

Estefanía Serral Asensio

2023/11/20

A review and experimental evaluation of the state-of-the-art in text classification

Manon Reusens

Alexander Stevens

Jonathan Tonglet

Johannes De Smedt

Wouter Verbeke

...

2023/5/25

Sovereign credit risk modeling using machine learning: a novel approach to sovereign credit risk incorporating private sector and sustainability risks

Journal of Credit Risk

Arsh Anand

Bart Baesens

Rosanne Vanpee

2023

Boosting credit risk models

The British Accounting Review

Bart Baesens

Kristien Smedts

2023/7/29

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

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

INFLECT-DGNN: Influencer Prediction with Dynamic Graph Neural Networks

arXiv preprint arXiv:2307.08131

Elena Tiukhova

Emiliano Penaloza

María Óskarsdóttir

Bart Baesens

Monique Snoeck

...

2023/7/16

Self-Supervised Anomaly Detection of Rogue Soil Moisture Sensors

arXiv preprint arXiv:2305.05495

Boje Deforce

Bart Baesens

Jan Diels

Estefanía Serral Asensio

2023/5/9

SEER: A Knapsack approach to Exemplar Selection for In-Context HybridQA

arXiv preprint arXiv:2310.06675

Jonathan Tonglet

Manon Reusens

Philipp Borchert

Bart Baesens

2023/10/10

Boosting Credit Risk Data Quality using Machine Learning and eXplainable AI Techniques

Springer

Elena Tiukhova

Adriano Salcuni

Can Oguz

Marcella Niglio

Giuseppe Storti

...

2023/7/12

See List of Professors in Bart Baesens University(Katholieke Universiteit Leuven)

Co-Authors

H-index: 119
De Moor Bart

De Moor Bart

Katholieke Universiteit Leuven

H-index: 91
Johan Suykens

Johan Suykens

Katholieke Universiteit Leuven

H-index: 60
Dirk Van den Poel

Dirk Van den Poel

Universiteit Gent

H-index: 56
Jan Vanthienen

Jan Vanthienen

Katholieke Universiteit Leuven

H-index: 44
Rudy Setiono

Rudy Setiono

National University of Singapore

H-index: 43
David Martens

David Martens

Universiteit Antwerpen

academic-engine