S.I. : ECML PKDD 2023

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

In this topical collection (32 articles)

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  1. OriginalPaper

    TenGAN: adversarially generating multiplex tensor graphs

    William Shiao, Benjamin A. Miller, Kevin Chan… Pages 1-21
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  2. OriginalPaper

    Improving position encoding of transformers for multivariate time series classification

    Navid Mohammadi Foumani, Chang Wei Tan… Pages 22-48
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  3. OriginalPaper

    Variable screening for Lasso based on multidimensional indexing

    Barbara Żogała-Siudem, Szymon Jaroszewicz Pages 49-78
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  4. OriginalPaper

    A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction

    Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang Pages 79-109
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  5. OriginalPaper

    Improving Graph Neural Networks by combining active learning with self-training

    Georgios Katsimpras, Georgios Paliouras Pages 110-127
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    OriginalPaper

    An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification

    Nikolaos Mylonas, Ioannis Mollas… Pages 128-153

  7. No Access

    OriginalPaper

    MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction

    Wei Wang, Wenhan Ruan, Xiangfu Meng Pages 154-172

  8. OriginalPaper

    Improving neural network’s robustness on tabular data with D-layers

    Haiyang Xia, Nayyar Zaidi, Yishuo Zhang, Gang Li Pages 173-205
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  9. ReviewPaper

    Z-Time: efficient and effective interpretable multivariate time series classification

    Zed Lee, Tony Lindgren, Panagiotis Papapetrou Pages 206-236
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  10. OriginalPaper

    Can local explanation techniques explain linear additive models?

    Amir Hossein Akhavan Rahnama, Judith Bütepage… Pages 237-280
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  11. OriginalPaper

    Studying bias in visual features through the lens of optimal transport

    Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis… Pages 281-312
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  12. OriginalPaper

    Multiple-input neural networks for time series forecasting incorporating historical and prospective context

    João Palet, Vasco Manquinho, Rui Henriques Pages 315-341
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    OriginalPaper

    Regression tree-based active learning

    Ashna Jose, João Paulo Almeida de Mendonça… Pages 420-460

  14. No Access

    OriginalPaper

    Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation

    João Luiz Junho Pereira, Kate Smith-Miles… Pages 461-500

  15. S.I. : ECML PKDD 2023

    Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)

    Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz… Pages 913-937
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  16. OriginalPaper

    Structure-aware decoupled imputation network for multivariate time series

    Nourhan Ahmed, Lars Schmidt-Thieme Pages 1006-1026
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  17. OriginalPaper

    When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification

    Zhanbo Liang, Jie Guo, Weidong Qiu, Zheng Huang… Pages 1171-1192
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  18. OriginalPaper

    AA-forecast: anomaly-aware forecast for extreme events

    Ashkan Farhangi, Jiang Bian, Arthur Huang… Pages 1209-1229
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  19. No Access

    OriginalPaper

    Random walk with restart on hypergraphs: fast computation and an application to anomaly detection

    Jaewan Chun, Geon Lee, Kijung Shin, Jinhong Jung Pages 1222-1257

  20. OriginalPaper

    CompTrails: comparing hypotheses across behavioral networks

    Tobias Koopmann, Martin Becker, Florian Lemmerich… Pages 1258-1288
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