Sibylle Hess

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 17

Top Topics

Matrix Factorization

Top Venues

Data Min. Knowl. Discov.

Publications

Daan Roordink, Sibylle Hess
Scoring Rule Nets: Beyond Mean Target Prediction in Multivariate Regression. ECML/PKDD (2) (2023)
Sebastian Buschjäger, Sibylle Hess, Katharina Morik
Shrub Ensembles for Online Classification. AAAI (2022)
Sibylle Hess, Gianvito Pio, Michiel E. Hochstenbach, Michelangelo Ceci
BROCCOLI: overlapping and outlier-robust biclustering through proximal stochastic gradient descent. Data Min. Knowl. Discov. 35 (6) (2021)
Sebastian Buschjäger, Sibylle Hess, Katharina Morik
Shrub Ensembles for Online Classification. CoRR (2021)
Sibylle Hess, Wouter Duivesteijn, Decebal Constantin Mocanu
Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring. CoRR (2020)
Wouter Duivesteijn, Sibylle Hess, Xin Du
How to cheat the page limit. WIREs Data Mining Knowl. Discov. 10 (3) (2020)
Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. AAAI (2019)
Sibylle Hess, Wouter Duivesteijn
k is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities. CoRR (2019)
Sibylle Hess, Katharina Morik, Nico Piatkowski
The PRIMPing Routine - Tiling through Proximal Alternating Linearized Minimization. CoRR (2019)
Sibylle Hess, Wouter Duivesteijn, Philipp Honysz, Katharina Morik
The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering. CoRR (2019)
Sibylle Hess, Wouter Duivesteijn
k Is the Magic Number - Inferring the Number of Clusters Through Nonparametric Concentration Inequalities. ECML/PKDD (1) (2019)
Sibylle Hess, Nico Piatkowski, Katharina Morik
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. CoRR (2019)
Sibylle Hess, Katharina Morik
C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization. CoRR (2019)
Sibylle Hess, Nico Piatkowski, Katharina Morik
The Trustworthy Pal: Controlling the False Discovery Rate in Boolean Matrix Factorization. SDM (2018)
Erich Schubert, Sibylle Hess, Katharina Morik
The Relationship of DBSCAN to Matrix Factorization and Spectral Clustering. LWDA (2018)
Sibylle Hess, Katharina Morik
C-SALT: Mining Class-Specific ALTerations in Boolean Matrix Factorization. ECML/PKDD (1) (2017)
Sibylle Hess, Katharina Morik, Nico Piatkowski
The PRIMPING routine - Tiling through proximal alternating linearized minimization. Data Min. Knowl. Discov. 31 (4) (2017)
Sibylle Hess, Nico Piatkowski, Katharina Morik
SHrimp: Descriptive Patterns in a Tree. LWA (2014)