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Project
Conditional Knowledge Graph Embedding
Information
Project Team
Outputs and Outcomes
Publications
Incorporating topological priors into low-dimensional visualizations through topological regularization
Edith Heiter
Robin Vandaele
Tijl De Bie
Yvan Saeys
Jefrey Lijffijt
A1
Journal Article
in
IEEE ACCESS
2024
Pattern or artifact? Interactively exploring embedding quality with TRACE
Edith Heiter
Liesbet Martens
Ruth Seurinck
Martin Guilliams
Tijl De Bie
Yvan Saeys
Jefrey Lijffijt
C1
Conference
2024
Exploring the performance of continuous-time dynamic link prediction algorithms
Raphaël Romero
Maarten Buyl
Tijl De Bie
Jefrey Lijffijt
A1
Journal Article
in
APPLIED SCIENCES-BASEL
2024
FAIRRET : a framework for differentiable fairness regularization terms
Maarten Buyl
Marybeth Defrance
Tijl De Bie
C1
Conference
2024
A challenge-based survey of e-recruitment recommendation systems
Yoosof Mashayekhi
Nan Li
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
ACM COMPUTING SURVEYS
2024
Scalable job recommendation with lower congestion using optimal transport
Yoosof Mashayekhi
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
IEEE ACCESS
2024
FEIR : quantifying and reducing envy and inferiority for fair recommendation of limited resources
Nan Li
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY
2024
Inherent limitations of AI fairness
Maarten Buyl
Tijl De Bie
A1
Journal Article
in
COMMUNICATIONS OF THE ACM
2024
GREASE : graph imbalance reduction by adding sets of edges
Yoosof Mashayekhi
Bo Kang
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING
2024
Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction
Robin Vandaele
Pritam Mukherjee
Heather Marie Selby
Rajesh Pravin Shah
Olivier Gevaert
A2
Journal Article
in
PATTERNS
2023
Fairness regularization in machine learning : methods and limitations
Maarten Buyl
Tijl De Bie
Jefrey Lijffijt
Dissertation
2023
Gaussian embedding of temporal networks
Raphaël Romero
Jefrey Lijffijt
Riccardo Rastelli
Marco Corneli
Tijl De Bie
A1
Journal Article
in
IEEE ACCESS
2023
RankFormer : listwise learning-to-rank using listwide labels
Maarten Buyl
Paul Missault
Pierre-Antoine Sondag
P1
Conference
2023
ReCon : reducing congestion in job recommendation using optimal transport
Yoosof Mashayekhi
Bo Kang
Jefrey Lijffijt
Tijl De Bie
P1
Conference
2023
An efficient graph-based peer selection method for financial statements
Sander Noels
Simon De Ridder
Sebastien Viaene
Tijl De Bie
A2
Journal Article
in
INTELLIGENT SYSTEMS IN ACCOUNTING FINANCE & MANAGEMENT
2023
Maximal fairness
Marybeth Defrance
Tijl De Bie
P1
Conference
2023
An empirical evaluation of network representation learning methods
Alexandru-Cristian Mara
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
BIG DATA
2023
Optimal transport of classifiers to fairness
Maarten Buyl
Tijl De Bie
C1
Conference
2022
Tackling algorithmic disability discrimination in the hiring process : an ethical, legal and technical analysis
Maarten Buyl
Christina Cociancig
Cristina Frattone
Nele Roekens
C1
Conference
2022
Evaluating representation learning and graph layout methods for visualization
Edith Heiter
Bo Kang
Tijl De Bie
Jefrey Lijffijt
A1
Journal Article
in
IEEE COMPUTER GRAPHICS AND APPLICATIONS
2022
Automating data science
Tijl De Bie
Luc De Raedt
José Hernández-Orallo
Holger H. Hoos
Padhraic Smyth
Christopher K. I. Williams
A1
Journal Article
in
COMMUNICATIONS OF THE ACM
2022
EvalNE : a framework for network embedding evaluation
Alexandru-Cristian Mara
Jefrey Lijffijt
Tijl De Bie
A1
Journal Article
in
SOFTWAREX
2022