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Data Mining and Knowledge Discovery, Volume 38
Volume 38, Number 1, January 2024
- William Shiao, Benjamin A. Miller, Kevin Chan, Paul L. Yu, Tina Eliassi-Rad, Evangelos E. Papalexakis:
TenGAN: adversarially generating multiplex tensor graphs. 1-21 - Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi:
Improving position encoding of transformers for multivariate time series classification. 22-48 - Barbara Zogala-Siudem, Szymon Jaroszewicz:
Variable screening for Lasso based on multidimensional indexing. 49-78 - Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang:
A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction. 79-109 - Georgios Katsimpras, Georgios Paliouras:
Improving Graph Neural Networks by combining active learning with self-training. 110-127 - Nikolaos Mylonas, Ioannis Mollas, Grigorios Tsoumakas:
An attention matrix for every decision: faithfulness-based arbitration among multiple attention-based interpretations of transformers in text classification. 128-153 - Wei Wang, Wenhan Ruan, Xiangfu Meng:
MODE-Bi-GRU: orthogonal independent Bi-GRU model with multiscale feature extraction. 154-172 - Haiyang Xia, Nayyar Zaidi, Yishuo Zhang, Gang Li:
Improving neural network's robustness on tabular data with D-layers. 173-205 - Zed Lee, Tony Lindgren, Panagiotis Papapetrou:
Z-Time: efficient and effective interpretable multivariate time series classification. 206-236 - Amir Hossein Akhavan Rahnama, Judith Bütepage, Pierre Geurts, Henrik Boström:
Can local explanation techniques explain linear additive models? 237-280 - Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi:
Studying bias in visual features through the lens of optimal transport. 281-312 - Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi:
Correction to: Studying bias in visual features through the lens of optimal transport. 313-314 - João Palet, Vasco M. Manquinho, Rui Henriques:
Multiple-input neural networks for time series forecasting incorporating historical and prospective context. 315-341
Volume 38, Number 2, March 2024
- Tao He, Ming Liu, Yixin Cao, Meng Qu, Zihao Zheng, Bing Qin:
VEM2L: an easy but effective framework for fusing text and structure knowledge on sparse knowledge graph completion. 343-371 - Clément Gautrais, Peggy Cellier, Thomas Guyet, René Quiniou, Alexandre Termier:
Sky-signatures: detecting and characterizing recurrent behavior in sequential data. 372-419 - Ashna Jose, João Paulo Almeida de Mendonça, Emilie Devijver, Noël Jakse, Valérie Monbet, Roberta Poloni:
Regression tree-based active learning. 420-460 - João Luiz Junho Pereira, Kate Smith-Miles, Mario Andrés Muñoz, Ana Carolina Lorena:
Optimal selection of benchmarking datasets for unbiased machine learning algorithm evaluation. 461-500 - Dongsheng Duan, Cheng Zhang, Lingling Tong, Jie Lu, Cunchi Lv, Wei Hou, Yangxi Li, Xiaofang Zhao:
An anomaly aware network embedding framework for unsupervised anomalous link detection. 501-534 - Alessio Molinari, Andrea Esuli:
SALτ: efficiently stopping TAR by improving priors estimates. 535-568 - Martin Khannouz, Tristan Glatard:
Mondrian forest for data stream classification under memory constraints. 569-596 - Gang-Feng Ma, Xu-Hua Yang, Wei Ye, Xin-Li Xu, Lei Ye:
Network embedding based on high-degree penalty and adaptive negative sampling. 597-622 - Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
A semi-supervised interactive algorithm for change point detection. 623-651 - Zhenxiang Cao, Nick Seeuws, Maarten De Vos, Alexander Bertrand:
Correction: A semi‑supervised interactive algorithm for change point detection. 652 - Hélder Alves, Paula Brito, Pedro Campos:
Community detection in interval-weighted networks. 653-698 - Guihong Wan, Baokun He, Haim Schweitzer:
The art of centering without centering for robust principal component analysis. 699-724 - Ilaria Bombelli, Ichcha Manipur, Mario Rosario Guarracino, Maria Brigida Ferraro:
Representing ensembles of networks for fuzzy cluster analysis: a case study. 725-747 - Nestor Cabello, Elham Naghizade, Jianzhong Qi, Lars Kulik:
Fast, accurate and explainable time series classification through randomization. 748-811 - Ashkan Farhangi, Jiang Bian, Arthur Huang, Haoyi Xiong, Jun Wang, Zhishan Guo:
Correction to: AA-forecast: anomaly-aware forecast for extreme events. 812
Volume 38, Number 3, May 2024
- Ali Javed, Donna M. Rizzo, Byung Suk Lee, Robert Gramling:
Somtimes: self organizing maps for time series clustering and its application to serious illness conversations. 813-839 - Moritz Herrmann, Daniyal Kazempour, Fabian Scheipl, Peer Kröger:
Enhancing cluster analysis via topological manifold learning. 840-887 - Sowon Jeon, Gilhee Lee, Hyoungshick Kim, Simon S. Woo:
Design and evaluation of highly accurate smart contract code vulnerability detection framework. 888-912 - Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim:
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT). 913-937 - Anne Hartebrodt, Richard Röttger, David B. Blumenthal:
Federated singular value decomposition for high-dimensional data. 938-975 - Luka Biedebach, María Óskarsdóttir, Erna Sif Arnardóttir, Sigríður Sigurðardóttir, Michael Clausen, Sigurveig Þóra Sigurardóttir, Marta Serwatko, Anna Sigridur Islind:
Anomaly detection in sleep: detecting mouth breathing in children. 976-1005 - Nourhan Ahmed, Lars Schmidt-Thieme:
Structure-aware decoupled imputation network for multivariate time series. 1006-1026 - Sondre Sørbø, Massimiliano Ruocco:
Navigating the metric maze: a taxonomy of evaluation metrics for anomaly detection in time series. 1027-1068 - Moshe Unger, Michel Wedel, Alexander Tuzhilin:
Predicting consumer choice from raw eye-movement data using the RETINA deep learning architecture. 1069-1100 - Ling Jian, Kai Shao, Ying Liu, Jundong Li, Xijun Liang:
OEC: an online ensemble classifier for mining data streams with noisy labels. 1101-1124 - Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca:
Effective signal reconstruction from multiple ranked lists via convex optimization. 1125-1169 - Michael G. Schimek, Luca Vitale, Bastian Pfeifer, Michele La Rocca:
Correction to: Effective signal reconstruction from multiple ranked lists via convex optimization. 1170 - Zhanbo Liang, Jie Guo, Weidong Qiu, Zheng Huang, Shujun Li:
When graph convolution meets double attention: online privacy disclosure detection with multi-label text classification. 1171-1192 - Huizi Wu, Cong Geng, Hui Fang:
Session-based recommendation by exploiting substitutable and complementary relationships from multi-behavior data. 1193-1221 - Jaewan Chun, Geon Lee, Kijung Shin, Jinhong Jung:
Random walk with restart on hypergraphs: fast computation and an application to anomaly detection. 1222-1257 - Tobias Koopmann, Martin Becker, Florian Lemmerich, Andreas Hotho:
CompTrails: comparing hypotheses across behavioral networks. 1258-1288 - Antonio R. Moya, Bruno Veloso, João Gama, Sebastián Ventura:
Improving hyper-parameter self-tuning for data streams by adapting an evolutionary approach. 1289-1315 - Kang Tang, Shasha Li, Jintao Tang, Dong Li, Pancheng Wang, Ting Wang:
Fusing structural information with knowledge enhanced text representation for knowledge graph completion. 1316-1333 - Marco Heyden, Edouard Fouché, Vadim Arzamasov, Tanja Fenn, Florian Kalinke, Klemens Böhm:
Adaptive Bernstein change detector for high-dimensional data streams. 1334-1363 - Rafael Gomes Mantovani, Tomás Horváth, André L. D. Rossi, Ricardo Cerri, Sylvio Barbon Junior, Joaquin Vanschoren, André C. P. L. F. de Carvalho:
Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms. 1364-1416 - Yan Liu, Xue Feng, Jun Lou, Lianyu Hu, Zengyou He:
Central node identification via weighted kernel density estimation. 1417-1439 - Stefano Masini, Silvia Bacci, Fabrizio Cipollini, Bruno Bertaccini:
Revealing the structural behaviour of Brunelleschi's Dome with machine learning techniques. 1440-1465 - Sheng Zhong, Abdullah Mueen:
MASS: distance profile of a query over a time series. 1466-1492 - Nazanin Moradinasab, Suchetha Sharma, Ronen Bar-Yoseph, Shlomit Radom-Aizik, Kenneth C. Bilchick, Dan M. Cooper, Arthur Weltman, Donald E. Brown:
Universal representation learning for multivariate time series using the instance-level and cluster-level supervised contrastive learning. 1493-1519 - Manuele Leonelli, Gherardo Varando:
Structural learning of simple staged trees. 1520-1544
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