1. SAED: self-attentive energy disaggregation

   • Nikolaos Virtsionis-Gkalinikis
   • Christoforos Nalmpantis
   • Dimitris Vrakas

   OriginalPaper 24 November 2021 Pages: 4081 - 4100

   

2. A comparison of proximity-based methods for detecting temporal anomalies in business processes

   • Ioannis Mavroudopoulos
   • Anastasios Gounaris

   OriginalPaper 21 March 2022 Pages: 4101 - 4128

   

3. Tree-based dynamic classifier chains

   • Eneldo Loza Mencía
   • Moritz Kulessa
   • Johannes Fürnkranz

   OriginalPaper Open access 25 March 2022 Pages: 4129 - 4165

   

4. Explaining classifiers by constructing familiar concepts

   • Johannes Schneider
   • Michalis Vlachos

   OriginalPaper Open access 25 March 2022 Pages: 4167 - 4200

   

5. Causal discovery with a mixture of DAGs

   • Eric V. Strobl

   OriginalPaper 30 March 2022 Pages: 4201 - 4225

   

6. Heterogeneous graph embedding with single-level aggregation and infomax encoding

   • Nuttapong Chairatanakul
   • Xin Liu
   • Tsuyoshi Murata

   OriginalPaper Open access 05 April 2022 Pages: 4227 - 4256

   

7. Learning biologically-interpretable latent representations for gene expression data

   • Ioulia Karagiannaki
   • Krystallia Gourlia
   • Ioannis Tsamardinos

   OriginalPaper Open access 29 April 2022 Pages: 4257 - 4287

   

8. Explaining short text classification with diverse synthetic exemplars and counter-exemplars

   • Orestis Lampridis
   • Laura State
   • Salvatore Ruggieri

   OriginalPaper Open access 11 May 2022 Pages: 4289 - 4322

   

9. \({{\mathrm {Latent}}Out}\): an unsupervised deep anomaly detection approach exploiting latent space distribution

   • Fabrizio Angiulli
   • Fabio Fassetti
   • Luca Ferragina

   OriginalPaper Open access 24 May 2022 Pages: 4323 - 4349

   

10. STUDD: a student–teacher method for unsupervised concept drift detection

    • Vitor Cerqueira
    • Heitor Murilo Gomes
    • Luis Torgo

    OriginalPaper 21 June 2022 Pages: 4351 - 4378

    

11. Feature ranking for semi-supervised learning

    • Matej Petković
    • Sašo Džeroski
    • Dragi Kocev

    OriginalPaper Open access 22 June 2022 Pages: 4379 - 4408

    

12. Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes

    • Vitor Cerqueira
    • Luis Torgo
    • Carlos Soares

    OriginalPaper 27 February 2023 Pages: 4409 - 4430

    

13. Parameter identifiability of a deep feedforward ReLU neural network

    • Joachim Bona-Pellissier
    • François Bachoc
    • François Malgouyres

    OriginalPaper 03 August 2023 Pages: 4431 - 4493

    

14. Scale-preserving automatic concept extraction (SPACE)

    • Andrés Felipe Posada-Moreno
    • Lukas Kreisköther
    • Sebastian Trimpe

    OriginalPaper Open access 21 August 2023 Pages: 4495 - 4525

    

15. Cautious policy programming: exploiting KL regularization for monotonic policy improvement in reinforcement learning

    • Lingwei Zhu
    • Takamitsu Matsubara

    OriginalPaper Open access 24 August 2023 Pages: 4527 - 4562

    

16. Efficient generator of mathematical expressions for symbolic regression

    • Sebastian Mežnar
    • Sašo Džeroski
    • Ljupčo Todorovski

    OriginalPaper Open access 06 September 2023 Pages: 4563 - 4596

    

17. Trajectory test-train overlap in next-location prediction datasets

    • Massimiliano Luca
    • Luca Pappalardo
    • Gianni Barlacchi

    OriginalPaper 06 September 2023 Pages: 4597 - 4634

    

18. Are LSTMs good few-shot learners?

    • Mike Huisman
    • Thomas M. Moerland
    • Jan N. van Rijn

    OriginalPaper Open access 07 September 2023 Pages: 4635 - 4662