E-LIB Suche - Ergebnisse für: Matthijs van Leeuwen

1

Graph Neural Networks Based Log Anomaly Detection and Expla..:

, In: 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings (ICSE-Companion),

Li, Zhong ; Shi, Jiayang ; van Leeuwen, Matthijs - p. 306-307 , 2024

Link: https://doi.org/10.1145/..

2

Graph Neural Networks based Log Anomaly Detection and Expla..:

, In: Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings,

Li, Zhong ; Shi, Jiayang ; Van Leeuwen, Matthijs - p. 306-307 , 2024

Link: https://dl.acm.org/doi/1..

3

Defining migraine days, based on longitudinal E-diary data:

van der Arend, Britt W. H. ; Verhagen, Iris E. ; van Leeuwen, Matthijs...
Cephalalgia. 43 (2023) 5 - p. 033310242311666 , 2023

Link: https://doi.org/10.1177/..

4

The added value of ferritin levels and genetic markers for ..:

Vinkenoog, Marieke ; Toivonen, Jarkko ; van Leeuwen, Matthijs..
Vox Sanguinis. 118 (2023) 10 - p. 825-834 , 2023

Link: https://doi.org/10.1111/..

5

Evaluating Cluster-Based Synthetic Data Generation for Bloo..:

Kroes, Shannon K. S. ; van Leeuwen, Matthijs ; Groenwold, Rolf H. H..
Journal of Cybersecurity and Privacy. 3 (2023) 4 - p. 882-894 , 2023

Link: https://doi.org/10.3390/..

6

Unsupervised discretization by two-dimensional MDL-based hi..:

Yang, Lincen ; Baratchi, Mitra ; van Leeuwen, Matthijs
Machine Learning. 112 (2023) 7 - p. 2397-2431 , 2023

Link: https://doi.org/10.1007/..

7

A Survey on Explainable Anomaly Detection:

Li, Zhong ; Zhu, Yuxuan ; Van Leeuwen, Matthijs
ACM Transactions on Knowledge Discovery from Data. 18 (2023) 1 - p. 1-54 , 2023

Link: https://doi.org/10.1145/..

8

Truly Unordered Probabilistic Rule Sets for Multi-class Cla..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,

Yang, Lincen ; van Leeuwen, Matthijs - p. 87-103 , 2023

Link: https://doi.org/10.1007/..

9

Explainable contextual anomaly detection using quantile reg..:

Li, Zhong ; van Leeuwen, Matthijs
Data Mining and Knowledge Discovery. 37 (2023) 6 - p. 2517-2563 , 2023

Link: https://doi.org/10.1007/..

10

Discovering Rule Lists with Preferred Variables:

, In: Advances in Intelligent Data Analysis XXI; Lecture Notes in Computer Science,

Papagianni, Ioanna ; van Leeuwen, Matthijs - p. 340-352 , 2023

Link: https://doi.org/10.1007/..

11

Novel Approach for Phenotyping Based on Diverse Top-K Subgr..:

, In: Artificial Intelligence in Medicine; Lecture Notes in Computer Science,

Lopez-Martinez-Carrasco, Antonio ; Proença, Hugo M. ; Juarez, Jose M... - p. 45-50 , 2023

Link: https://doi.org/10.1007/..

12

Discovering Diverse Top-K Characteristic Lists:

, In: Advances in Intelligent Data Analysis XXI; Lecture Notes in Computer Science,

Lopez-Martinez-Carrasco, Antonio ; Proença, Hugo M. ; Juarez, Jose M... - p. 262-273 , 2023

Link: https://doi.org/10.1007/..

13

Finding efficient trade-offs in multi-fidelity response sur..:

van Rijn, Sander ; Schmitt, Sebastian ; van Leeuwen, Matthijs.
Engineering Optimization. 55 (2022) 6 - p. 946-963 , 2022

Link: https://doi.org/10.1080/..

14

Feature Selection for Fault Detection and Prediction based ..:

Li, Zhong ; van Leeuwen, Matthijs
ACM SIGKDD Explorations Newsletter. 24 (2022) 2 - p. 96-104 , 2022

Link: https://doi.org/10.1145/..

15

Associations Between Symptoms, Donor Characteristics and Ig..:

Vinkenoog, Marieke ; Steenhuis, Maurice ; Brinke, Anja ten...
Frontiers in Immunology. 13 (2022) - p. , 2022

Link: https://doi.org/10.3389/..