Plotly.plus, an Improved Dataset for Visualization Recommendation

Autor:	Jonathan Cazco Gonzalez, Ivana Dasovic, Stefania Dimancea, Andrei Tosa
Rok vydání:	2023
Předmět:	Visualization Recommendation Data Analytics Plotly Image classification Multi-label classification Machine learning for Visual Analytics (ML4Viz) Convolutional neural networks Deep learning
DOI:	10.5281/zenodo.7591858
Popis:	Experiment reproducibility for Plotly.plus, an Improved Dataset for Visualization Recommendation. {"references":["Luca Podo, Paola Velardi. 2022. Plotly.plus, an Improved Dataset for Visual Recommendation. 31st ACM International Conference on Information & Knowledge Management, 1 (October. 2022), 36-44. DOI: https://doi.org/10.1145/3511808.3557669","Filip Bajić, Josip Job, and Kresimir Nenadić. 2019. Chart classification using simplified VGG model. In 2019 International Conference on Systems, Signals and Image Processing (IWSSIP). IEEE, 229--233","Cem Kosemen and Derya Birant. 2020. Multi-label classification of line chart images using convolutional neural networks. SN Applied Sciences 2, 7 (2020), 1–20"]}
Databáze:	OpenAIRE
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