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Fingerprint Dive into the research topics where Sibylle Hess is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 25 Similar Profiles
Factorization Engineering & Materials Science
Clustering algorithms Engineering & Materials Science
Salt mines Engineering & Materials Science
Data structures Engineering & Materials Science

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Research Output 2014 2019

  • 14 Citations
  • 3 Chapter
  • 3 Conference contribution
  • 1 Article

k is the magic number: inferring the number of clusters through nonparametric concentration inequalities

Hess, S. & Duivesteijn, W., 2019, (Accepted/In press) Proceedings of the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) 2019.

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

Clustering algorithms
Costs

The SpectACl of nonconvex clustering: a spectral approach to density-based clustering.

Hess, S., Duivesteijn, W., Honysz, P. & Morik, K., 2019, Proceedings of 33rd AAAI Conference on Artificial IntelligenceAAAI. Association for the Advancement of Artificial Intelligence, 27 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access
File
Experiments

The relationship of DBSCAN to matrix factorization and spectral clustering

Schubert, E., Hess, S. & Morik, K., 2018, LWDA 2018 - Lernen, Wissen, Daten, Analysen 2018: Proceedings of the conference "Lernen, Wissen, Daten Analysen. Aachen: RWTH Aachen, p. 330-334 5 p. (CEUR workshop proceedings; vol. 2191).

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

Open Access
File
Factorization
Clustering algorithms
1 Citation (Scopus)
4 Downloads (Pure)

The trustworthy pal: controlling the false discovery rate in boolean matrix factorization

Hess, S., Piatkowski, N. & Morik, K., 2018, Proceedings of the 2018 SIAM International Conference on Data Mining. Philadelphia : Society for Industrial and Applied Mathematics (SIAM), p. 405-413 9 p.

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access
File
Factorization
Demonstrations
2 Citations (Scopus)
5 Downloads (Pure)

C-salt: mining class-specific alterations in boolean matrix factorization

Hess, S. & Morik, K., 2017, Joint European Conference on Machine Learning and Knowledge Discovery in Databases. Cham: Springer, p. 547-563 17 p. (Lecture Notes in Computer Science ; vol. 10534).

Research output: Chapter in Book/Report/Conference proceedingChapterAcademicpeer-review

Open Access
File
Salt mines
Factorization
Specifications

Courses

Student theses

Anomaly detection on vibration data

Author: Siganos, A., 28 Oct 2019

Supervisor: Hess, S. (Supervisor 1), Pechenizkiy, M. (Supervisor 2), Yakovets, N. (Supervisor 2) & Uusitalo, J. (External person) (External coach)

Student thesis: Master

File