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Robustness of Visualization Methods in Preserving the Continuous and Discrete Latent Structures of High-Dimensional Single-Cell Data., , , and . CIBCB, page 1-9. IEEE, (2021)GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations., , , , and . AAAI, page 14776-14784. AAAI Press, (2024)Dimensionality reduction for visualizing high-dimensional biological data., , , , and . Biosyst., (2022)Day-ahead regional solar power forecasting with hierarchical temporal convolutional neural networks using historical power generation and weather data., , , , and . CoRR, (2024)DALLE-URBAN: Capturing the urban design expertise of large text to image transformers., , , , and . CoRR, (2022)Exploratory Analysis of Highly Dimensional Data: Parametric Methods for Dimensionality Reduction, Visualization and Feature Extraction with Applications in Computational Biology.. University of Melbourne, Parkville, Victoria, Australia, (2020)base-search.net (ftumelbourne:oai:jupiter.its.unimelb.edu.au:11343/239181).GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations., , , , and . CoRR, (2023)Self-Organizing Nebulous Growths for Robust and Incremental Data Visualization., , , and . IEEE Trans. Neural Networks Learn. Syst., 32 (10): 4588-4602 (2021)When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks., , , , , and . AAAI, page 5994-6002. AAAI Press, (2024)ENVirT: inference of ecological characteristics of viruses from metagenomic data., , , , , , , , and . BMC Bioinform., 19-S (13): 377:1-377:12 (2019)