Number of items: 11.
Conference or Workshop Item (A Paper)
Belth, Caleb and Zheng, X and Vreeken, Jilles and Koutra, Danai
(2020)
What is Normal, What is Strange, and What is Missing in an Knowledge Graph.
Cueppers, Joscha and Vreeken, Jilles
(2020)
Just Wait For It... Mining Sequential Patterns with Reliable Prediction Delays.
(In Press)
Dalleiger, Sebastian and Vreeken, Jilles
(2020)
Explainable Data Decompositions.
(In Press)
Dalleiger, Sebastian and Vreeken, Jilles
(2020)
The Relaxed Maximum Entropy Distribution and its Application to Pattern Discovery.
(In Press)
Fischer, Jonas and Vreeken, Jilles
(2020)
Discovering Succinct Pattern Sets Expressing Co-Occurrence and Mutual Exclusivity.
Mandros, Panagiotis and Kaltenpoth, David and Boley, Mario and Vreeken, Jilles
(2020)
Discovering Functional Dependencies from Mixed-Type Data.
Penerath, Frederic and Mandros, Panagiotis and Vreeken, Jilles
(2020)
Discovering Approximate Functional Dependencies using Smoothed Mutual Information.
Zhang, Yang and Humbert, Mathias and Surma, Bartlomiej and Manoharan, Praveen and Vreeken, Jilles and Backes, Michael
(2020)
Towards Plausible Graph Anonymization.
Article
Mandros, Panagiotis and Boley, Mario and Vreeken, Jilles
(2020)
Discovering Dependencies with Reliable Mutual Information.
Knowledge and Information Systems.
ISSN 0219-1377
Sutton, Christopher and Boley, Mario and Ghiringhelli, Luca M. and Rupp, Matthias and Vreeken, Jilles and Scheffler, Matthias
(2020)
Identifying Domains of Applicability of Machine Learning Models for Materials Science.
Nature Communications.
ISSN 2041-1723
Thesis
Budhathoki, Kailash
(2020)
Causal Inference on Discrete Data.
Doctoral thesis, Saarland University.
This list was generated on Fri Oct 11 14:14:53 2024 CEST.