no code implementations • 26 Sep 2023 • Stavros Gerolymatos, Xenophon Evangelopoulos, Vladimir Gusev, John Y. Goulermas
Dimensionality reduction (DR) is one of the key tools for the visual exploration of high-dimensional data and uncovering its cluster structure in two- or three-dimensional spaces.
1 code implementation • 3 Aug 2022 • Penglei Gao, Xi Yang, Rui Zhang, Ping Guo, John Y. Goulermas, Kaizhu Huang
While exogenous variables have a major impact on performance improvement in time series analysis, inter-series correlation and time dependence among them are rarely considered in the present continuous methods.
no code implementations • 24 Feb 2022 • Miloslav Torda, John Y. Goulermas, Roland Púček, Vitaliy Kurlin
Molecular crystal structure prediction (CSP) seeks the most stable periodic structure given the chemical composition of a molecule and pressure-temperature conditions.
1 code implementation • 27 Jan 2022 • Penglei Gao, Xi Yang, Rui Zhang, John Y. Goulermas, Yujie Geng, Yuyao Yan, Kaizhu Huang
In this paper, we develop a novel transformer-based generative adversarial neural network called U-Transformer for generalised image outpainting problem.
1 code implementation • 8 Jun 2021 • MingJie Sun, Jimin Xiao, Eng Gee Lim, Si Liu, John Y. Goulermas
In this paper, we are tackling the weakly-supervised referring expression grounding task, for the localization of a referent object in an image according to a query sentence, where the mapping between image regions and queries are not available during the training stage.
no code implementations • EACL 2017 • Motoki Sato, Austin J. Brockmeier, Georgios Kontonatsios, Tingting Mu, John Y. Goulermas, Jun{'}ichi Tsujii, Sophia Ananiadou
Descriptive document clustering aims to automatically discover groups of semantically related documents and to assign a meaningful label to characterise the content of each cluster.