[HTML][HTML] Faradaic deionization technology: Insights from bibliometric, data mining and machine learning approaches

E Aytaç, A Fombona-Pascual, JJ Lado, EG Quismondo… - Desalination, 2023 - Elsevier
Faradaic deionization (FDI) is an emerging water treatment technology based on electrodes
able to remove ionic species from water by charge transfer reactions. It is a young and …

FS/DS: A theoretical framework for the dual analysis of feature space and data space

FL Dennig, M Miller, DA Keim… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
With the surge of data-driven analysis techniques, there is a rising demand for enhancing
the exploration of large high-dimensional data by enabling interactions for the joint analysis …

DT-SNE: t-SNE discrete visualizations as decision tree structures

A Bibal, V Delchevalerie, B Frénay - Neurocomputing, 2023 - Elsevier
Visualizations are powerful tools that are commonly used by data scientists to get more
insights about their high dimensional data. One can for example cite t-SNE, which is …

A Topic Modeling Approach to Discover the Global and Local Subjects in Membrane Distillation Separation Process

E Aytaç, M Khayet - Separations, 2023 - mdpi.com
Membrane distillation (MD) is proposed as an environmentally friendly technology of
emerging interest able to aid in the resolution of the worldwide water issue and brine …

Gradient-based explanation for non-linear non-parametric dimensionality reduction

S Corbugy, R Marion, B Frénay - Data Mining and Knowledge Discovery, 2024 - Springer
Dimensionality reduction (DR) is a popular technique that shows great results to analyze
high-dimensional data. Generally, DR is used to produce visualizations in 2 or 3 …

Mesoscopic structure graphs for interpreting uncertainty in non-linear embeddings

J Zhao, X Liu, H Tang, X Wang, S Yang, D Liu… - Computers in Biology …, 2024 - Elsevier
Probabilistic-based non-linear dimensionality reduction (PB-NL-DR) methods, such as t-
SNE and UMAP, are effective in unfolding complex high-dimensional manifolds, allowing …

DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine

P Salmanian, A Chatzimparmpas, AC Karaca… - arXiv preprint arXiv …, 2024 - arxiv.org
Dimensionality Reduction (DR) techniques such as t-SNE and UMAP are popular for
transforming complex datasets into simpler visual representations. However, while effective …

VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region Annotation

PG Poličar, B Zupan - arXiv preprint arXiv:2406.04808, 2024 - arxiv.org
Two-dimensional embeddings obtained from dimensionality reduction techniques, such as
MDS, t-SNE, and UMAP, are widely used across various disciplines to visualize high …

[PDF][PDF] Natively Interpretable t-SNE

E Couplet, P Lambert, M Verleysen… - … of AIMLAI workshop, 2023 - dial.uclouvain.be
The visual exploration of high-dimensional (HD) data has gained popularity through the use
of dimensionality reduction (DR) techniques such as t-SNE and UMAP. However, the …

Hyper-parameters Tuning and Dimension Reduction Effects on Heart Disease Prediction Using Classification Algorithms

M Divandari, D Ghabi, MK Ebrahimi - Progress in Engineering Science, 2024 - Elsevier
Heart complication is one of the most dangerous diseases that take many victims all around
the world. This paper presented heart disease prediction based on machine learning …