Discovery Science 2020

In this topical collection (18 articles)

1. OriginalPaper

   Data-aware process discovery for malware detection: an empirical study

   Mario Luca Bernardi, Marta Cimitile, Fabrizio Maria Maggi Pages 1171-1199

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2. OriginalPaper

   Bimodal variational autoencoder for audiovisual speech recognition

   Hadeer M. Sayed, Hesham E. ElDeeb, Shereen A. Taie Pages 1201-1226

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3. OriginalPaper

   Algorithm selection on a meta level

   Alexander Tornede, Lukas Gehring, Tanja Tornede, Marcel Wever… Pages 1253-1286

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4. OriginalPaper

   A deep learning approach using natural language processing and time-series forecasting towards enhanced food safety

   Georgios Makridis, Philip Mavrepis, Dimosthenis Kyriazis Pages 1287-1313

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5. OriginalPaper

   Surrogate models of radiative transfer codes for atmospheric trace gas retrievals from satellite observations

   Jure Brence, Jovan Tanevski, Jennifer Adams, Edward Malina… Pages 1337-1363

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6. OriginalPaper

   Imbalanced regression using regressor-classifier ensembles

   Oghenejokpeme I. Orhobor, Nastasiya F. Grinberg, Larisa N. Soldatova… Pages 1365-1387

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7. OriginalPaper

   SAED: self-attentive energy disaggregation

   Nikolaos Virtsionis-Gkalinikis, Christoforos Nalmpantis… Pages 4081-4100

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8. OriginalPaper

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

   Ioannis Mavroudopoulos, Anastasios Gounaris Pages 4101-4128

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9. OriginalPaper

   Tree-based dynamic classifier chains

   Eneldo Loza Mencía, Moritz Kulessa, Simon Bohlender, Johannes Fürnkranz Pages 4129-4165

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10. OriginalPaper

    Explaining classifiers by constructing familiar concepts

    Johannes Schneider, Michalis Vlachos Pages 4167-4200

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11. OriginalPaper

    Causal discovery with a mixture of DAGs

    Eric V. Strobl Pages 4201-4225

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12. OriginalPaper

    Heterogeneous graph embedding with single-level aggregation and infomax encoding

    Nuttapong Chairatanakul, Xin Liu, Nguyen Thai Hoang, Tsuyoshi Murata Pages 4227-4256

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13. OriginalPaper

    Learning biologically-interpretable latent representations for gene expression data

    Ioulia Karagiannaki, Krystallia Gourlia, Vincenzo Lagani… Pages 4257-4287

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14. OriginalPaper

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

    Orestis Lampridis, Laura State, Riccardo Guidotti, Salvatore Ruggieri Pages 4289-4322

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15. OriginalPaper

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

    Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina Pages 4323-4349

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16. OriginalPaper

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

    Vitor Cerqueira, Heitor Murilo Gomes, Albert Bifet, Luis Torgo Pages 4351-4378

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17. OriginalPaper

    Feature ranking for semi-supervised learning

    Matej Petković, Sašo Džeroski, Dragi Kocev Pages 4379-4408

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18. OriginalPaper

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

    Vitor Cerqueira, Luis Torgo, Carlos Soares Pages 4409-4430

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