• 1 Citations
20182020

Research output per year

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Research Output

  • 1 Citations
  • 3 Article
  • 2 Conference contribution
2020

Exceptional spatio-temporal behavior mining through Bayesian non-parametric modeling

Du, X., Pei, Y., Duivesteijn, W. & Pechenizkiy, M., 2020, (Accepted/In press) In : Data Mining and Knowledge Discovery.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access

Fairness in network representation by latent structural heterogeneity in observational data

Du, X., Pei, Y., Duivesteijn, W. & Pechenizkiy, M., 2020, (Accepted/In press) Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

struc2gauss: Structural role preserving network embedding via Gaussian embedding

Pei, Y., Du, X., Zhang, J., Fletcher, G. & Pechenizkiy, M., 1 Jul 2020, In : Data Mining and Knowledge Discovery. 34, 4, p. 1072–1103 32 p.

Research output: Contribution to journalArticleAcademicpeer-review

Open Access
2019

Adversarial balancing-based representation learning for causal effect inference with observational data

Du, X., Sun, L., Duivesteijn, W., Nikolaev, A. & Pechenizkiy, M., 30 Apr 2019, In : arXiv. 17 p., 1904.13335v1.

Research output: Contribution to journalArticleAcademic

40 Downloads (Pure)
2018

ELBA: Exceptional Learning Behavior Analysis

Du, X., Duivesteijn, W., Klabbers, M. D. & Pechenizkiy, M., 2018, Proceedings of the 11th International Conference on Educational Data Mining, EDM 2018. p. 312-318

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Open Access
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1 Citation (Scopus)
22 Downloads (Pure)