Tijl De Bie

Tijl De Bie

Universiteit Gent

H-index: 40

Europe-Belgium

About Tijl De Bie

Tijl De Bie, With an exceptional h-index of 40 and a recent h-index of 25 (since 2020), a distinguished researcher at Universiteit Gent, specializes in the field of data science, artificial intelligence, data visualization, machine learning, AI for the labor market.

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

Inherent Limitations of AI Fairness

KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces

Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms

Scalable Job Recommendation with Lower Congestion using Optimal Transport

Topologically Regularized Data Embeddings

ReCon: Reducing Congestion in Job Recommendation using Optimal Transport

New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs

FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources

Tijl De Bie Information

University

Position

Full Professor

Citations(all)

8404

Citations(since 2020)

3324

Cited By

5541

hIndex(all)

40

hIndex(since 2020)

25

i10Index(all)

88

i10Index(since 2020)

53

Email

University Profile Page

Universiteit Gent

Google Scholar

View Google Scholar Profile

Tijl De Bie Skills & Research Interests

data science

artificial intelligence

data visualization

machine learning

AI for the labor market

Top articles of Tijl De Bie

Title

Journal

Author(s)

Publication Date

Inherent Limitations of AI Fairness

Communications of the ACM

Maarten Buyl

Tijl De Bie

2024

KamerRaad: Enhancing Information Retrieval in Belgian National Politics through Hierarchical Summarization and Conversational Interfaces

arXiv preprint arXiv:2404.17597

Alexander Rogiers

Maarten Buyl

Bo Kang

Tijl De Bie

2024/4/22

Exploring the Performance of Continuous-Time Dynamic Link Prediction Algorithms

Applied Sciences

Raphaël Romero

Maarten Buyl

Tijl De Bie

Jefrey Lijffijt

2024/4/22

Scalable Job Recommendation with Lower Congestion using Optimal Transport

IEEE Access

Yoosof Mashayekhi

Bo Kang

Jefrey Lijffijt

Tijl De Bie

2024/4/17

Topologically Regularized Data Embeddings

arXiv preprint arXiv:2301.03338

Edith Heiter

Robin Vandaele

Tijl De Bie

Yvan Saeys

Jefrey Lijffijt

2023/1/9

ReCon: Reducing Congestion in Job Recommendation using Optimal Transport

Yoosof Mashayekhi

Bo Kang

Jefrey Lijffijt

Tijl De Bie

2023/9/14

New Perspectives on the Evaluation of Link Prediction Algorithms for Dynamic Graphs

arXiv preprint arXiv:2311.18486

Raphaël Romero

Tijl De Bie

Jefrey Lijffijt

2023/11/30

FEIR: Quantifying and Reducing Envy and Inferiority for Fair Recommendation of Limited Resources

ACM Transactions on Intelligent Systems and Technology

Nan Li

Bo Kang

Jefrey Lijffijt

Tijl De Bie

2023

GREASE: Graph Imbalance Reduction by Adding Sets of Edges

IEEE Transactions on Knowledge and Data Engineering

Yoosof Mashayekhi

Bo Kang

Jefrey Lijffijt

Tijl De Bie

2023/8/17

fairret: a Framework for Differentiable Fairness Regularization Terms

arXiv preprint arXiv:2310.17256

Maarten Buyl

MaryBeth Defrance

Tijl De Bie

2023/10/26

An efficient graph‐based peer selection method for financial statements

Intelligent Systems in Accounting, Finance and Management

Sander Noels

Simon De Ridder

Sébastien Viaene

Tijl De Bie

2023/7

Gaussian Embedding of Temporal Networks

IEEE Access

Raphaël Romero

Jefrey Lijffijt

Riccardo Rastelli

Marco Corneli

Tijl De Bie

2023/10/12

Maximal fairness

MaryBeth Defrance

Tijl De Bie

2023/6/12

LLM4Jobs: Unsupervised occupation extraction and standardization leveraging Large Language Models

arXiv preprint arXiv:2309.09708

Nan Li

Bo Kang

Tijl De Bie

2023/9/18

SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model

arXiv preprint arXiv:2304.11060

Nan Li

Bo Kang

Tijl De Bie

2023/4/17

Automated Financial Analysis Using GPT-4

Sander Noels

Adriaan Merlevede

Andrew Fecheyr

Maarten Vanhalst

Nick Meerlaen

...

2023/9/17

An earth mover’s distance based graph distance metric for financial statements

Sander Noels

Benjamin Vandermarliere

Ken Bastiaensen

Tijl De Bie

2022/5/4

Evaluating feature attribution methods in the image domain

arXiv preprint arXiv:2202.12270

Arne Gevaert

Axel-Jan Rousseau

Thijs Becker

Dirk Valkenborg

Tijl De Bie

...

2022/2/22

The Curse Revisited: When are Distances Informative for the Ground Truth in Noisy High-Dimensional Data?

Robin Vandaele

Bo Kang

Tijl De Bie

Yvan Saeys

2022/5/3

Mining Interesting Outlier Subgraphs in Attributed Graphs

Ahmad Mel

Tijl De Bie

2022

See List of Professors in Tijl De Bie University(Universiteit Gent)

Co-Authors

H-index: 203
Michael I. Jordan

Michael I. Jordan

University of California, Berkeley

H-index: 119
De Moor Bart

De Moor Bart

Katholieke Universiteit Leuven

H-index: 107
William Stafford Noble

William Stafford Noble

University of Washington

H-index: 82
Matthew W. Hahn

Matthew W. Hahn

Indiana University Bloomington

H-index: 63
Gert Lanckriet

Gert Lanckriet

University of California, San Diego

H-index: 63
Nello Cristianini

Nello Cristianini

University of Bristol

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