Interpretable representations in explainable AI: from theory to practice Kacper SokolPeter Flach OriginalPaper Open access 25 April 2024
Multiple hypergraph convolutional network social recommendation using dual contrastive learning Hongyu WangWei ZhouShutong Qiao OriginalPaper 24 April 2024
Bake off redux: a review and experimental evaluation of recent time series classification algorithms Matthew MiddlehurstPatrick SchäferAnthony Bagnall ReviewPaper Open access 19 April 2024
Lost in the Forest: Encoding categorical variables and the absent levels problem Helen L. SmithPatrick J. BiggsJonathan C. Marshall OriginalPaper Open access 10 April 2024
Time series clustering with random convolutional kernels Marco-Blanco JorgeCuevas Rubén OriginalPaper Open access 01 April 2024
A comparative study of methods for estimating model-agnostic Shapley value explanations Lars Henry Berge OlsenIngrid Kristine GladKjersti Aas OriginalPaper Open access 29 March 2024
Interpretable linear dimensionality reduction based on bias-variance analysis Paolo BonettiAlberto Maria MetelliMarcello Restelli OriginalPaper Open access 25 March 2024
MCCE: Monte Carlo sampling of valid and realistic counterfactual explanations for tabular data Annabelle RedelmeierMartin JullumAnders Løland OriginalPaper 22 March 2024
Binary quantification and dataset shift: an experimental investigation Pablo GonzálezAlejandro MoreoFabrizio Sebastiani OriginalPaper Open access 18 March 2024
Online concept evolution detection based on active learning Husheng GuoHai LiWenjian Wang OriginalPaper 15 March 2024
Correction to: Bias characterization, assessment, and mitigation in location-based recommender systems Pablo SánchezAlejandro BellogínLudovico Boratto Correction Open access 27 February 2024
Marginal effects for non-linear prediction functions Christian A. ScholbeckGiuseppe CasalicchioChristian Heumann OriginalPaper Open access 27 February 2024
Learning a Bayesian network with multiple latent variables for implicit relation representation Xinran WuKun YueXiaodong Fu OriginalPaper 22 February 2024
MMA: metadata supported multi-variate attention for onset detection and prediction Manjusha RavindranathK. Selçuk CandanBrian Appavu OriginalPaper 19 February 2024
Structural learning of simple staged trees Manuele LeonelliGherardo Varando OriginalPaper 15 February 2024
Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning Nazanin MoradinasabSuchetha SharmaDonald E. Brown OriginalPaper Open access 09 February 2024
VEM\(^2\)L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion Tao HeMing LiuBing Qin OriginalPaper 06 February 2024 Pages: 343 - 371
Revealing the structural behaviour of Brunelleschi’s Dome with machine learning techniques Stefano MasiniSilvia BacciBruno Bertaccini OriginalPaper Open access 06 February 2024
MASS: distance profile of a query over a time series Sheng ZhongAbdullah Mueen OriginalPaper 05 February 2024
Central node identification via weighted kernel density estimation Yan LiuXue FengZengyou He OriginalPaper 31 January 2024
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms Rafael Gomes MantovaniTomáš HorváthAndré C. P. L. F. de Carvalho OriginalPaper 31 January 2024
Correction to: Effective signal reconstruction from multiple ranked lists via convex optimization Michael G. SchimekLuca VitaleMichele La Rocca Correction Open access 24 January 2024
Fusing structural information with knowledge enhanced text representation for knowledge graph completion Kang TangShasha LiTing Wang OriginalPaper 19 January 2024
Adaptive Bernstein change detector for high-dimensional data streams Marco HeydenEdouard FouchéKlemens Böhm OriginalPaper Open access 09 January 2024
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification Zhanbo LiangJie GuoShujun Li OriginalPaper Open access 05 January 2024
CompTrails: comparing hypotheses across behavioral networks Tobias KoopmannMartin BeckerAndreas Hotho OriginalPaper Open access 03 January 2024
Correction: A semi‑supervised interactive algorithm for change point detection Zhenxiang CaoNick SeeuwsAlexander Bertrand Correction 02 January 2024 Pages: 652 - 652
Effective signal reconstruction from multiple ranked lists via convex optimization Michael G. SchimekLuca VitaleMichele La Rocca OriginalPaper Open access 02 January 2024
Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture Moshe UngerMichel WedelAlexander Tuzhilin OriginalPaper 29 December 2023
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data Huizi WuCong GengHui Fang OriginalPaper 26 December 2023
Random walk with restart on hypergraphs: fast computation and an application to anomaly detection Jaewan ChunGeon LeeJinhong Jung OriginalPaper 21 December 2023
Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach Antonio R. MoyaBruno VelosoSebastián Ventura OriginalPaper 21 December 2023
OEC: an online ensemble classifier for mining data streams with noisy labels Ling JianKai ShaoXijun Liang OriginalPaper 12 December 2023
Structure-aware decoupled imputation network for multivariate time series Nourhan AhmedLars Schmidt-Thieme OriginalPaper Open access 08 December 2023
Correction to: Studying bias in visual features through the lens of optimal transport Simone FabbrizziXuan ZhaoEirini Ntoutsi Correction Open access 24 November 2023 Pages: 313 - 314
Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series Sondre SørbøMassimiliano Ruocco OriginalPaper Open access 18 November 2023
Anomaly detection in sleep: detecting mouth breathing in children Luka BiedebachMaría ÓskarsdóttirAnna Sigridur Islind OriginalPaper Open access 13 November 2023
Multiple-input neural networks for time series forecasting incorporating historical and prospective context João PaletVasco ManquinhoRui Henriques OriginalPaper Open access 27 October 2023 Pages: 315 - 341
Federated singular value decomposition for high-dimensional data Anne HartebrodtRichard RöttgerDavid B. Blumenthal OriginalPaper Open access 26 October 2023
Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation João Luiz Junho PereiraKate Smith-MilesAna Carolina Lorena OriginalPaper 20 October 2023 Pages: 461 - 500
Somtimes: self organizing maps for time series clustering and its application to serious illness conversations Ali JavedDonna M. RizzoRobert Gramling OriginalPaper Open access 20 October 2023
Mondrian forest for data stream classification under memory constraints Martin KhannouzTristan Glatard OriginalPaper 17 October 2023 Pages: 569 - 596
Fast, accurate and explainable time series classification through randomization Nestor CabelloElham NaghizadeLars Kulik OriginalPaper Open access 16 October 2023 Pages: 748 - 811
Design and evaluation of highly accurate smart contract code vulnerability detection framework Sowon JeonGilhee LeeSimon S. Woo OriginalPaper 13 October 2023
Representing ensembles of networks for fuzzy cluster analysis: a case study Ilaria BombelliIchcha ManipurMaria Brigida Ferraro OriginalPaper 09 October 2023 Pages: 725 - 747
The art of centering without centering for robust principal component analysis Guihong WanBaokun HeHaim Schweitzer OriginalPaper 09 October 2023 Pages: 699 - 724
Community detection in interval-weighted networks Hélder AlvesPaula BritoPedro Campos OriginalPaper 09 October 2023 Pages: 653 - 698
MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction Wei WangWenhan RuanXiangfu Meng OriginalPaper 09 October 2023 Pages: 154 - 172
Enhancing cluster analysis via topological manifold learning Moritz HerrmannDaniyal KazempourPeer Kröger OriginalPaper Open access 29 September 2023
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT) Arian PrabowoHao XueFlora D. Salim S.I. : ECML PKDD 2023 Open access 27 September 2023
