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Converting tabular data into images for deep learning with convolutional neural networks

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0 Published in 2021 at "Scientific Reports"

DOI: 10.1038/s41598-021-90923-y

Abstract: Convolutional neural networks (CNNs) have been successfully used in many applications where important information about data is embedded in the order of features, such as speech and imaging. However, most tabular data do not assume… read more here.

Keywords: image; neural networks; convolutional neural; tabular data ... See more keywords

Fusing Diverse Input Modalities for Path Loss Prediction: A Deep Learning Approach

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1 Published in 2021 at "IEEE Access"

DOI: 10.1109/access.2021.3059589

Abstract: Tabular data and images have been used from machine learning models as two diverse types of inputs, in order to perform path loss predictions in urban areas. Different types of models are applied on these… read more here.

Keywords: input; loss prediction; tabular data; loss ... See more keywords

Sparse Hierarchical Table Ensemble–A Deep Learning Alternative for Tabular Data

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2 Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3190537

Abstract: Deep learning for tabular data is drawing increasing attention, with recent work attempting to boost the accuracy of neuron-based networks. However, such deep learning models are deserted when computational capacity is low, as in Internet… read more here.

Keywords: tabular data; learning; sparse hierarchical; deep learning ... See more keywords

HiTailor: Interactive Transformation and Visualization for Hierarchical Tabular Data

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1 Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2022.3209354

Abstract: Tabular visualization techniques integrate visual representations with tabular data to avoid additional cognitive load caused by splitting users' attention. However, most of the existing studies focus on simple flat tables instead of hierarchical tables, whose… read more here.

Keywords: visualization; tabular data; abstract model; hierarchical tables ... See more keywords

Rigel: Transforming Tabular Data by Declarative Mapping

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1 Published in 2022 at "IEEE Transactions on Visualization and Computer Graphics"

DOI: 10.1109/tvcg.2022.3209385

Abstract: We present Rigel, an interactive system for rapid transformation of tabular data. Rigel implements a new declarative mapping approach that formulates the data transformation procedure as direct mappings from data to the row, column, and… read more here.

Keywords: tabular data; data transformation; rigel; declarative mapping ... See more keywords

SAINTENS: Self-Attention and Intersample Attention Transformer for Digital Biomarker Development Using Tabular Healthcare Real World Data

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0 Published in 2022 at "Studies in health technology and informatics"

DOI: 10.3233/shti220371

Abstract: BACKGROUND Deep learning currently struggles with tabular data, but it can benefit from multimodal learning. SAINT is a deep learning model for tabular data on which we base our presented developments. OBJECTIVES In this study,… read more here.

Keywords: world data; tabular data; development; attention ... See more keywords

How to Open a Black Box Classifier for Tabular Data

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1 Published in 2023 at "Algorithms"

DOI: 10.3390/a16040181

Abstract: A lack of transparency in machine learning models can limit their application. We show that analysis of variance (ANOVA) methods extract interpretable predictive models from them. This is possible because ANOVA decompositions represent multivariate functions… read more here.

Keywords: box classifier; classifier tabular; tabular data; black box ... See more keywords

A CNN-Based Novel Approach for Classification of Sacral Hiatus with GAN-Powered Tabular Data Set

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0 Published in 2023 at "Elektronika ir Elektrotechnika"

DOI: 10.5755/j02.eie.33852

Abstract: Caudal epidural anaesthesia is usually the most well-known technique in obstetrics to deal with chronic back pain. Due to variations in the shape and size of the sacral hiatus (SH), its classification is a crucial… read more here.

Keywords: classification; tabular data; sacral hiatus; approach ... See more keywords