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ORCIDData 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
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