Ausgabe 3/2024
Inhalt (25 Artikel)
Somtimes: self organizing maps for time series clustering and its application to serious illness conversations
Ali Javed, Donna M. Rizzo, Byung Suk Lee, Robert Gramling
Enhancing cluster analysis via topological manifold learning
Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger
Design and evaluation of highly accurate smart contract code vulnerability detection framework
Sowon Jeon, Gilhee Lee, Hyoungshick Kim, Simon S. Woo
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT)
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
Federated singular value decomposition for high-dimensional data
Anne Hartebrodt, Richard Röttger, David B. Blumenthal
Anomaly detection in sleep: detecting mouth breathing in children
Luka Biedebach, María Óskarsdóttir, Erna Sif Arnardóttir, Sigridur Sigurdardóttir, Michael Valur Clausen, Sigurveig Þ. Sigurdardóttir, Marta Serwatko, Anna Sigridur Islind
Structure-aware decoupled imputation network for multivariate time series
Nourhan Ahmed, Lars Schmidt-Thieme
Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series
Sondre Sørbø, Massimiliano Ruocco
Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture
Moshe Unger, Michel Wedel, Alexander Tuzhilin
OEC: an online ensemble classifier for mining data streams with noisy labels
Ling Jian, Kai Shao, Ying Liu, Jundong Li, Xijun Liang
Effective signal reconstruction from multiple ranked lists via convex optimization
Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca
Correction to: Effective signal reconstruction from multiple ranked lists via convex optimization
Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification
Zhanbo Liang, Jie Guo, Weidong Qiu, Zheng Huang, Shujun Li
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data
Huizi Wu, Cong Geng, Hui Fang
Random walk with restart on hypergraphs: fast computation and an application to anomaly detection
Jaewan Chun, Geon Lee, Kijung Shin, Jinhong Jung
CompTrails: comparing hypotheses across behavioral networks
Tobias Koopmann, Martin Becker, Florian Lemmerich, Andreas Hotho
Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach
Antonio R. Moya, Bruno Veloso, João Gama, Sebastián Ventura
Fusing structural information with knowledge enhanced text representation for knowledge graph completion
Kang Tang, Shasha Li, Jintao Tang, Dong Li, Pancheng Wang, Ting Wang
Adaptive Bernstein change detector for high-dimensional data streams
Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms
Rafael Gomes Mantovani, Tomáš Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André C. P. L. F. de Carvalho
Central node identification via weighted kernel density estimation
Yan Liu, Xue Feng, Jun Lou, Lianyu Hu, Zengyou He
Revealing the structural behaviour of Brunelleschi’s Dome with machine learning techniques
Stefano Masini, Silvia Bacci, Fabrizio Cipollini, Bruno Bertaccini
Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning
Nazanin Moradinasab, Suchetha Sharma, Ronen Bar-Yoseph, Shlomit Radom-Aizik, Kenneth C. Bilchick, Dan M. Cooper, Arthur Weltman, Donald E. Brown