Special Issue of the Journal Track of ECML PKDD 2022

ISSN: 1384-5810 (Print) 1573-756X (Online)

In this topical collection (29 articles)

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  1. OriginalPaper

    ConvMOS: climate model output statistics with deep learning

    Michael Steininger, Daniel Abel, Katrin Ziegler… Pages 136-166
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  2. OriginalPaper

    Informative pseudo-labeling for graph neural networks with few labels

    Yayong Li, Jie Yin, Ling Chen Pages 228-254
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  3. OriginalPaper

    Controlling hallucinations at word level in data-to-text generation

    Clement Rebuffel, Marco Roberti, Laure Soulier… Pages 318-354
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  4. OriginalPaper

    An efficient procedure for mining egocentric temporal motifs

    Antonio Longa, Giulia Cencetti, Bruno Lepri… Pages 355-378
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  5. OriginalPaper

    Mining sequences with exceptional transition behaviour of varying order using quality measures based on information-theoretic scoring functions

    Rianne M. Schouten, Marcos L. P. Bueno… Pages 379-413
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  6. OriginalPaper

    Hierarchical message-passing graph neural networks

    Zhiqiang Zhong, Cheng-Te Li, Jun Pang Pages 381-408
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    OriginalPaper

    Sequential stratified regeneration: MCMC for large state spaces with an application to subgraph count estimation

    Carlos H. C. Teixeira, Mayank Kakodkar… Pages 414-447

  8. OriginalPaper

    Regularized impurity reduction: accurate decision trees with complexity guarantees

    Guangyi Zhang, Aristides Gionis Pages 434-475
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  9. OriginalPaper

    Strengthening ties towards a highly-connected world

    Antonis Matakos, Aristides Gionis Pages 448-476
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  10. OriginalPaper

    Dynamic cyber risk estimation with competitive quantile autoregression

    Raisa Dzhamtyrova, Carsten Maple Pages 513-536
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    OriginalPaper

    Efficient binary embedding of categorical data using BinSketch

    Bhisham Dev Verma, Rameshwar Pratap, Debajyoti Bera Pages 537-565

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    OriginalPaper

    INK: knowledge graph embeddings for node classification

    Bram Steenwinckel, Gilles Vandewiele, Michael Weyns… Pages 620-667

  13. OriginalPaper

    Provable randomized rounding for minimum-similarity diversification

    Bruno Ordozgoiti, Ananth Mahadevan, Antonis Matakos… Pages 709-738
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  14. OriginalPaper

    Synwalk: community detection via random walk modelling

    Christian Toth, Denis Helic, Bernhard C. Geiger Pages 739-780
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    OriginalPaper

    PAC-Bayesian lifelong learning for multi-armed bandits

    Hamish Flynn, David Reeb, Melih Kandemir, Jan Peters Pages 841-876

  16. OriginalPaper

    Graph convolutional networks for traffic forecasting with missing values

    Jingwei Zuo, Karine Zeitouni, Yehia Taher… Pages 913-947
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  17. OriginalPaper

    Weighted sparse simplex representation: a unified framework for subspace clustering, constrained clustering, and active learning

    Hankui Peng, Nicos G. Pavlidis Pages 958-986
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    OriginalPaper

    Generalized density attractor clustering for incomplete data

    Richard Leibrandt, Stephan Günnemann Pages 970-1009

  19. No Access

    OriginalPaper

    Scalable classifier-agnostic channel selection for multivariate time series classification

    Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim Pages 1010-1054

  20. No Access

    OriginalPaper

    Multi-view metro station clustering based on passenger flows: a functional data-edged network community detection approach

    Chen Zhang, Baihua Zheng, Fugee Tsung Pages 1154-1208
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