Project
Exploring Data: Theoretical Foundations and Applications to Web, Multimedia, and Omics Data
Researchers
- Tijl De Bie (Promoter)
Department of Electronics and information systems
Duration: 1 Jan 2017 → 31 Dec 2021 - Rik Van de Walle (Co-promoter)
Department of Electronics and information systems
Duration: 1 Jan 2017 → Today
Project partners
- Department of Electronics and information systems (Department)From1 Jan 2017 → 31 Dec 2021
Funding
1 - 1 of 1 results
- Funding: FWO research project (including WEAVE projects)(Principal funding)
Funding party: Research Foundation Flanders
Policy level funding: Flemish
Publications
- Optimal transport of classifiers to fairness(2022)
Authors: Maarten Buyl, Tijl De Bie, S. Koyejo, S. Mohamed, A. Agarwal, D. Belgrave, K. Cho, A. Oh
- Automating data science(2022)
Authors: Tijl De Bie, Luc De Raedt, José Hernández-Orallo, Holger H. Hoos, Padhraic Smyth, Christopher K. I. Williams
- Tackling algorithmic disability discrimination in the hiring process : an ethical, legal and technical analysis(2022)
Authors: Maarten Buyl, Christina Cociancig, Cristina Frattone, Nele Roekens
- An efficient graph-based peer selection method for financial statements(2023)
Authors: Sander Noels, Simon De Ridder, Sebastien Viaene, Tijl De Bie
- Evaluating representation learning and graph layout methods for visualization(2022)
Authors: Edith Heiter, Bo Kang, Tijl De Bie, Jefrey Lijffijt
- Topological data analysis of thoracic radiographic images shows improved radiomics-based lung tumor histology prediction(2023)
Authors: Robin Vandaele, Pritam Mukherjee, Heather Marie Selby, Rajesh Pravin Shah, Olivier Gevaert
- RankFormer : listwise learning-to-rank using listwide labels(2023)
Authors: Maarten Buyl, Paul Missault, Pierre-Antoine Sondag
- Gaussian embedding of temporal networks(2023)
Authors: Raphaël Romero, Jefrey Lijffijt, Riccardo Rastelli, Marco Corneli, Tijl De Bie
- FEIR : quantifying and reducing envy and inferiority for fair recommendation of limited resources(2023)Volume: 3490
Authors: Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie, Mesut Kaya, Toine Bogers, David Graus, Chris Johnson, Jens-Joris Decorte
- Inherent limitations of AI fairness(2024)
Authors: Maarten Buyl, Tijl De Bie