SAED: self-attentive energy disaggregation Nikolaos Virtsionis-GkalinikisChristoforos NalmpantisDimitris Vrakas OriginalPaper 24 November 2021 Pages: 4081 - 4100
A comparison of proximity-based methods for detecting temporal anomalies in business processes Ioannis MavroudopoulosAnastasios Gounaris OriginalPaper 21 March 2022 Pages: 4101 - 4128
Tree-based dynamic classifier chains Eneldo Loza MencíaMoritz KulessaJohannes Fürnkranz OriginalPaper Open access 25 March 2022 Pages: 4129 - 4165
Explaining classifiers by constructing familiar concepts Johannes SchneiderMichalis Vlachos OriginalPaper Open access 25 March 2022 Pages: 4167 - 4200
Causal discovery with a mixture of DAGs Eric V. Strobl OriginalPaper 30 March 2022 Pages: 4201 - 4225
Heterogeneous graph embedding with single-level aggregation and infomax encoding Nuttapong ChairatanakulXin LiuTsuyoshi Murata OriginalPaper Open access 05 April 2022 Pages: 4227 - 4256
Learning biologically-interpretable latent representations for gene expression data Ioulia KaragiannakiKrystallia GourliaIoannis Tsamardinos OriginalPaper Open access 29 April 2022 Pages: 4257 - 4287
Explaining short text classification with diverse synthetic exemplars and counter-exemplars Orestis LampridisLaura StateSalvatore Ruggieri OriginalPaper Open access 11 May 2022 Pages: 4289 - 4322
\({{\mathrm {Latent}}Out}\): an unsupervised deep anomaly detection approach exploiting latent space distribution Fabrizio AngiulliFabio FassettiLuca Ferragina OriginalPaper Open access 24 May 2022 Pages: 4323 - 4349
STUDD: a student–teacher method for unsupervised concept drift detection Vitor CerqueiraHeitor Murilo GomesLuis Torgo OriginalPaper 21 June 2022 Pages: 4351 - 4378
Feature ranking for semi-supervised learning Matej PetkovićSašo DžeroskiDragi Kocev OriginalPaper Open access 22 June 2022 Pages: 4379 - 4408
Early anomaly detection in time series: a hierarchical approach for predicting critical health episodes Vitor CerqueiraLuis TorgoCarlos Soares OriginalPaper 27 February 2023 Pages: 4409 - 4430
Parameter identifiability of a deep feedforward ReLU neural network Joachim Bona-PellissierFrançois BachocFrançois Malgouyres OriginalPaper 03 August 2023 Pages: 4431 - 4493
Scale-preserving automatic concept extraction (SPACE) Andrés Felipe Posada-MorenoLukas KreiskötherSebastian Trimpe OriginalPaper Open access 21 August 2023 Pages: 4495 - 4525
Cautious policy programming: exploiting KL regularization for monotonic policy improvement in reinforcement learning Lingwei ZhuTakamitsu Matsubara OriginalPaper Open access 24 August 2023 Pages: 4527 - 4562
Efficient generator of mathematical expressions for symbolic regression Sebastian MežnarSašo DžeroskiLjupčo Todorovski OriginalPaper Open access 06 September 2023 Pages: 4563 - 4596
Trajectory test-train overlap in next-location prediction datasets Massimiliano LucaLuca PappalardoGianni Barlacchi OriginalPaper 06 September 2023 Pages: 4597 - 4634
Are LSTMs good few-shot learners? Mike HuismanThomas M. MoerlandJan N. van Rijn OriginalPaper Open access 07 September 2023 Pages: 4635 - 4662
