1. Somtimes: self organizing maps for time series clustering and its application to serious illness conversations

   • Ali Javed
   • Donna M. Rizzo
   • Robert Gramling

   OriginalPaper Open access 20 October 2023 Pages: 813 - 839

   

2. Enhancing cluster analysis via topological manifold learning

   • Moritz Herrmann
   • Daniyal Kazempour
   • Peer Kröger

   OriginalPaper Open access 29 September 2023 Pages: 840 - 887

   

3. Design and evaluation of highly accurate smart contract code vulnerability detection framework

   • Sowon Jeon
   • Gilhee Lee
   • Simon S. Woo

   OriginalPaper 13 October 2023 Pages: 888 - 912

   

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

   • Arian Prabowo
   • Hao Xue
   • Flora D. Salim

   S.I. : ECML PKDD 2023 Open access 27 September 2023 Pages: 913 - 937

   

5. Federated singular value decomposition for high-dimensional data

   • Anne Hartebrodt
   • Richard Röttger
   • David B. Blumenthal

   OriginalPaper Open access 26 October 2023 Pages: 938 - 975

   

6. Anomaly detection in sleep: detecting mouth breathing in children

   • Luka Biedebach
   • María Óskarsdóttir
   • Anna Sigridur Islind

   OriginalPaper Open access 13 November 2023 Pages: 976 - 1005

   

7. Structure-aware decoupled imputation network for multivariate time series

   • Nourhan Ahmed
   • Lars Schmidt-Thieme

   OriginalPaper Open access 08 December 2023 Pages: 1006 - 1026

   

8. Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series

   • Sondre Sørbø
   • Massimiliano Ruocco

   OriginalPaper Open access 18 November 2023 Pages: 1027 - 1068

   

9. Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture

   • Moshe Unger
   • Michel Wedel
   • Alexander Tuzhilin

   OriginalPaper 29 December 2023 Pages: 1069 - 1100

   

10. OEC: an online ensemble classifier for mining data streams with noisy labels

    • Ling Jian
    • Kai Shao
    • Xijun Liang

    OriginalPaper 12 December 2023 Pages: 1101 - 1124

    

11. Effective signal reconstruction from multiple ranked lists via convex optimization

    • Michael G. Schimek
    • Luca Vitale
    • Michele La Rocca

    OriginalPaper Open access 02 January 2024 Pages: 1125 - 1169

    

12. Correction to: Effective signal reconstruction from multiple ranked lists via convex optimization

    • Michael G. Schimek
    • Luca Vitale
    • Michele La Rocca

    Correction Open access 24 January 2024 Pages: 1170 - 1170

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

    • Zhanbo Liang
    • Jie Guo
    • Shujun Li

    OriginalPaper Open access 05 January 2024 Pages: 1171 - 1192

    

14. Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data

    • Huizi Wu
    • Cong Geng
    • Hui Fang

    OriginalPaper 26 December 2023 Pages: 1193 - 1221

    

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

    • Jaewan Chun
    • Geon Lee
    • Jinhong Jung

    OriginalPaper 21 December 2023 Pages: 1222 - 1257

    

16. CompTrails: comparing hypotheses across behavioral networks

    • Tobias Koopmann
    • Martin Becker
    • Andreas Hotho

    OriginalPaper Open access 03 January 2024 Pages: 1258 - 1288

    

17. Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach

    • Antonio R. Moya
    • Bruno Veloso
    • Sebastián Ventura

    OriginalPaper 21 December 2023 Pages: 1289 - 1315

    

18. Fusing structural information with knowledge enhanced text representation for knowledge graph completion

    • Kang Tang
    • Shasha Li
    • Ting Wang

    OriginalPaper 19 January 2024 Pages: 1316 - 1333

    

19. Adaptive Bernstein change detector for high-dimensional data streams

    • Marco Heyden
    • Edouard Fouché
    • Klemens Böhm

    OriginalPaper Open access 09 January 2024 Pages: 1334 - 1363

    

20. Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms

    • Rafael Gomes Mantovani
    • Tomáš Horváth
    • André C. P. L. F. de Carvalho

    OriginalPaper 31 January 2024 Pages: 1364 - 1416

    

21. Central node identification via weighted kernel density estimation

    • Yan Liu
    • Xue Feng
    • Zengyou He

    OriginalPaper 31 January 2024 Pages: 1417 - 1439

    

22. Revealing the structural behaviour of Brunelleschi’s Dome with machine learning techniques

    • Stefano Masini
    • Silvia Bacci
    • Bruno Bertaccini

    OriginalPaper Open access 06 February 2024 Pages: 1440 - 1465

    

23. MASS: distance profile of a query over a time series

    • Sheng Zhong
    • Abdullah Mueen

    OriginalPaper 05 February 2024 Pages: 1466 - 1492

    

24. Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning

    • Nazanin Moradinasab
    • Suchetha Sharma
    • Donald E. Brown

    OriginalPaper Open access 09 February 2024 Pages: 1493 - 1519

    

25. Structural learning of simple staged trees

    • Manuele Leonelli
    • Gherardo Varando

    OriginalPaper 15 February 2024 Pages: 1520 - 1544