Ausgabe 2/2023
Inhalt (15 Artikel)
HARPA: hierarchical attention with relation paths for knowledge graph embedding adversarial learning
Naixin Zhang, Jinmeng Wang, Jieyue He
Functional classwise principal component analysis: a classification framework for functional data analysis
Avishek Chatterjee, Satyaki Mazumder, Koel Das
On computing exact means of time series using the move-split-merge metric
Jana Holznigenkemper, Christian Komusiewicz, Bernhard Seeger
DAMP: accurate time series anomaly detection on trillions of datapoints and ultra-fast arriving data streams
Yue Lu, Renjie Wu, Abdullah Mueen, Maria A. Zuluaga, Eamonn Keogh
MERLIN++: parameter-free discovery of time series anomalies
Takaaki Nakamura, Ryan Mercer, Makoto Imamura, Eamonn Keogh
Residual projection for quantile regression in vertically partitioned big data
Ye Fan, Jr-Shin Li, Nan Lin
BDRI: block decomposition based on relational interaction for knowledge graph completion
Mei Yu, Jiujiang Guo, Jian Yu, Tianyi Xu, Mankun Zhao, Hongwei Liu, Xuewei Li, Ruiguo Yu
Forecast evaluation for data scientists: common pitfalls and best practices
Hansika Hewamalage, Klaus Ackermann, Christoph Bergmeir
Methods for explaining Top-N recommendations through subgroup discovery
Mouloud Iferroudjene, Corentin Lonjarret, Céline Robardet, Marc Plantevit, Martin Atzmueller
Fast and robust video-based exercise classification via body pose tracking and scalable multivariate time series classifiers
Ashish Singh, Antonio Bevilacqua, Thach Le Nguyen, Feiyan Hu, Kevin McGuinness, Martin O’Reilly, Darragh Whelan, Brian Caulfield, Georgiana Ifrim
Graph convolutional networks for traffic forecasting with missing values
Jingwei Zuo, Karine Zeitouni, Yehia Taher, Sandra Garcia-Rodriguez
Scalable classifier-agnostic channel selection for multivariate time series classification
Bhaskar Dhariyal, Thach Le Nguyen, Georgiana Ifrim