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Data Mining and Knowledge Discovery

Ausgabe 1/2024

Inhalt (13 Artikel)

Open Access

TenGAN: adversarially generating multiplex tensor graphs

William Shiao, Benjamin A. Miller, Kevin Chan, Paul Yu, Tina Eliassi-Rad, Evangelos E. Papalexakis

Open Access

Improving position encoding of transformers for multivariate time series classification

Navid Mohammadi Foumani, Chang Wei Tan, Geoffrey I. Webb, Mahsa Salehi

Open Access

Variable screening for Lasso based on multidimensional indexing

Barbara Żogała-Siudem, Szymon Jaroszewicz

Open Access

A tale of two roles: exploring topic-specific susceptibility and influence in cascade prediction

Ninghan Chen, Xihui Chen, Zhiqiang Zhong, Jun Pang

Open Access

Improving Graph Neural Networks by combining active learning with self-training

Georgios Katsimpras, Georgios Paliouras

Open Access

Improving neural network’s robustness on tabular data with D-layers

Haiyang Xia, Nayyar Zaidi, Yishuo Zhang, Gang Li

Open Access

Z-Time: efficient and effective interpretable multivariate time series classification

Zed Lee, Tony Lindgren, Panagiotis Papapetrou

Open Access

Can local explanation techniques explain linear additive models?

Amir Hossein Akhavan Rahnama, Judith Bütepage, Pierre Geurts, Henrik Boström

Open Access S.I. : ECML PKDD 2023

Studying bias in visual features through the lens of optimal transport

Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi

Open Access Correction

Correction to: Studying bias in visual features through the lens of optimal transport

Simone Fabbrizzi, Xuan Zhao, Emmanouil Krasanakis, Symeon Papadopoulos, Eirini Ntoutsi