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Improving fraud detection via imbalanced graph structure learning Lingfei RenRuimin HuWenyi Hu OriginalPaper 29 November 2023 Pages: 1069 - 1090
Composition of relational features with an application to explaining black-box predictors Ashwin SrinivasanA. BaskarDevanshu Shah OriginalPaper 26 October 2023 Pages: 1091 - 1132
Differentially private Riemannian optimization Andi HanBamdev MishraJunbin Gao OriginalPaper Open access 01 February 2024 Pages: 1133 - 1161
No regret sample selection with noisy labels Heon SongNariaki MitsuoDaiki Suehiro OriginalPaper 05 January 2024 Pages: 1163 - 1188
On the effects of biased quantum random numbers on the initialization of artificial neural networks Raoul HeeseMoritz WolterNico Piatkowski OriginalPaper Open access 16 January 2024 Pages: 1189 - 1217
Utilising energy function and variational inference training for learning a graph neural network architecture Gayathri GirishDeepak MishraSubrahamanian K. S. Moosath OriginalPaper 23 January 2024 Pages: 1219 - 1241
OT-net: a reusable neural optimal transport solver Zezeng LiShenghao LiZhongxuan Luo OriginalPaper 16 January 2024 Pages: 1243 - 1268
Word embeddings-based transfer learning for boosted relational dependency networks Thais LucaAline PaesGerson Zaverucha OriginalPaper 20 September 2023 Pages: 1269 - 1302
Explainable models via compression of tree ensembles Siwen YanSriraam NatarajanPrasad Tadepalli OriginalPaper 29 November 2023 Pages: 1303 - 1328
Structural causal models reveal confounder bias in linear program modelling Matej ZečevićDevendra Singh DhamiKristian Kersting OriginalPaper Open access 09 January 2024 Pages: 1329 - 1349
Modeling PU learning using probabilistic logic programming Victor VerreetLuc De RaedtJessa Bekker OriginalPaper 27 November 2023 Pages: 1351 - 1372
Persistence B-spline grids: stable vector representation of persistence diagrams based on data fitting Zhetong DongHongwei LinGengchen Li OriginalPaper 03 January 2024 Pages: 1373 - 1420
Principled diverse counterfactuals in multilinear models Ioannis PapantonisVaishak Belle OriginalPaper Open access 10 January 2024 Pages: 1421 - 1443
Online semi-supervised learning of composite event rules by combining structure and mass-based predicate similarity Evangelos MichelioudakisAlexander ArtikisGeorgios Paliouras OriginalPaper Open access 15 December 2023 Pages: 1445 - 1481
Fast deep mixtures of Gaussian process experts Clement EtienamKody J. H. LawVitaly Zankin OriginalPaper Open access 08 January 2024 Pages: 1483 - 1508
Correction to: Learning to bid and rank together in recommendation systems Geng JiWentao JiangZheqing Zhu Correction Open access 04 January 2024 Pages: 1509 - 1509
