Items where Division is "Jilles Vreeken (Exploratory Data Analysis)" and Year is 2022

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Number of items: 9.

Conference or Workshop Item (A Paper)

Coupette, Corinna and Dalleiger, Sebastian and Vreeken, Jilles
(2022) Differentially Describing Groups of Graphs.
In: AAAI Conference on Artificial Intelligence.
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Dalleiger, Sebastian and Vreeken, Jilles
(2022) Discovering Significant Patterns under Sequential False Discovery Control.
In: ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Hedderich, M and Fischer, Jonas and Klakow, Dietrich and Vreeken, Jilles
(2022) Label-Descriptive Patterns and their Application to Characterizing Classification Errors.
In: International Conference on Machine Learning (ICML).
Conference: ICML International Conference on Machine Learning

Kalofolias, Janis and Vreeken, Jilles
(2022) Naming the most Anomalous Cluster in Hilbert Space for Structures with Attribute Information.
In: AAAI Conference on Artificial Intelligence.
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Mameche, Sara and Kaltenpoth, David and Vreeken, Jilles
(2022) Discovering Invariant and Changing Mechanisms from Data.
In: KDD [ACM International Conference on Knowledge Discovery and Data Mining].
Conference: KDD ACM International Conference on Knowledge Discovery and Data Mining

Marx, Alexander and Vreeken, Jilles
(2022) Formally Justifying MDL-based Inference of Cause and Effect.
In: AAAI Workshop on Information-Theoretic Causal Inference and Discovery (ITCI'22).
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Wiegand, Boris and Klakow, Dietrich and Vreeken, Jilles
(2022) Discovering Interpretable Data-to-Sequence Generators.
In: AAAI Conference on Artificial Intelligence.
Conference: AAAI National Conference of the American Association for Artificial Intelligence

Xu, Sascha and Mian, Osman and Vreeken, Jilles
(2022) Inferring Cause and Effect in the Presence of Heteroscedastic Noise.
In: ICML.
Conference: ICML International Conference on Machine Learning

Article

Cueppers, Joscha and Kalofolias, Janis and Vreeken, Jilles
(2022) Omen: discovering sequential patterns with reliable prediction delays.
Knowledge and Information Systems. ISSN 0219-1377

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