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CORDIS

Fair, Effective, and Sustainable Talent Management using Conditional Network Embedding

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Optimal Transport of Classifiers to Fairness

Author(s): Maarten Buyl, Tijl De Bie
Published in: Advances in Neural Information Processing Systems, 2022, Page(s) 12
Publisher: NeurIPS foundation

The KL-divergence between a graph model and its fair I-projection as a fairness regularizer (opens in new window)

Author(s): Maarten Buyl, Tijl De Bie
Published in: Machine Learning and Knowledge Discovery in Databases. Research Track. ECML PKDD 2021. Lecture Notes in Computer Science, 2021
Publisher: Springer, Cham
DOI: 10.1007/978-3-030-86520-7_22

Quantifying and Reducing Imbalance in Networks

Author(s): Yoosof Mashayekhi, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Published in: Proceedings of the Workshop on Recommender Systems for Human Resources (RecSys in HR 2021), 2021
Publisher: CEUR Workshop Proceedings

FONDUE: A Framework for Node Disambiguation and Deduplication Using Network Embeddings (opens in new window)

Author(s): Ahmad Mel, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Published in: Applied Sciences, 2021, ISSN 2076-3417
Publisher: MDPI
DOI: 10.3390/app11219884

An empirical evaluation of network representation learning methods (opens in new window)

Author(s): Alexandru Cristian Mara, Jefrey Lijffijt, Tijl De Bie
Published in: Big Data, 2022, ISSN 2167-6461
Publisher: Mary Ann Liebert, Inc.
DOI: 10.1089/big.2021.0107

Adversarial Robustness of Probabilistic Network Embedding for Link Prediction (opens in new window)

Author(s): Chen, Xi; Kang, Bo; Lijffijt, Jefrey; De Bie, Tijl
Published in: ECML PKDD 2021: Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Issue 1, 2022, ISSN 1865-0937
Publisher: Springer, Cham
DOI: 10.48550/arxiv.2107.01936

A challenge-based survey of e-recruitment recommendation systems (opens in new window)

Author(s): Yoosof Mashayekhi, Nan Li, Bo Kang, Jefrey Lijffijt, Tijl De Bie
Published in: under review, 2022
Publisher: arxiv.org
DOI: 10.48550/arxiv.2209.05112

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