S.I. : ECML PKDD 2023
ISSN:
1384-5810 (Print)
1573-756X (Online)
In this topical collection (32 articles)
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OriginalPaper
Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach
Antonio R. Moya, Bruno Veloso, João Gama… Pages 1289-1315 -
OriginalPaper
Adaptive Bernstein change detector for high-dimensional data streams
Marco Heyden, Edouard Fouché, Vadim Arzamasov… Pages 1334-1363 -
OriginalPaper
ROhAN: Row-order agnostic null models for statistically-sound knowledge discovery
Maryam Abuissa, Alexander Lee, Matteo Riondato Pages 1692-1718 -
OriginalPaper
MrTF: model refinery for transductive federated learning
Xin-Chun Li, Yang Yang, De-Chuan Zhan Pages 2046-2069 -
OriginalPaper
Interplay between topology and edge weights in real-world graphs: concepts, patterns, and an algorithm
Fanchen Bu, Shinhwan Kang, Kijung Shin Pages 2139-2191 -
OriginalPaper
Datasets, tasks, and training methods for large-scale hypergraph learning
Sunwoo Kim, Dongjin Lee, Yul Kim, Jungho Park… Pages 2216-2254 -
OriginalPaper
Hypercore decomposition for non-fragile hyperedges: concepts, algorithms, observations, and applications
Fanchen Bu, Geon Lee, Kijung Shin Pages 2389-2437 -
OriginalPaper
Improving the core resilience of real-world hypergraphs
Manh Tuan Do, Kijung Shin Pages 2438-2493 -
OriginalPaper
i-Align: an interpretable knowledge graph alignment model
Bayu Distiawan Trisedya, Flora D. Salim… Pages 2494-2516
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