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A new paradigm for high‐dimensional data: Distance‐based semiparametric feature aggregation framework via between‐subject attributes
Liu, Jinyuan, Zhang, Xinlian, Lin, Tuo, Chen, Ruohui, Zhong, Yuan, Chen, Tian, Wu, Tsungchin, Liu, Chenyu, Huang, Anna, Nguyen, Tanya T., Lee, Ellen E., Jeste, Dilip V., Tu, Xin M.
Published in Scandinavian journal of statistics (01.06.2024)
Published in Scandinavian journal of statistics (01.06.2024)
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Small sample sizes: A big data problem in high-dimensional data analysis
Konietschke, Frank, Schwab, Karima, Pauly, Markus
Published in Statistical methods in medical research (01.03.2021)
Published in Statistical methods in medical research (01.03.2021)
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Glyphboard: Visual Exploration of High-Dimensional Data Combining Glyphs with Dimensionality Reduction
Kammer, Dietrich, Keck, Mandy, Grunder, Thomas, Maasch, Alexander, Thom, Thomas, Kleinsteuber, Martin, Groh, Rainer
Published in IEEE transactions on visualization and computer graphics (01.04.2020)
Published in IEEE transactions on visualization and computer graphics (01.04.2020)
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Visual Exploration of High-Dimensional Data through Subspace Analysis and Dynamic Projections
Liu, S., Wang, B., Thiagarajan, J. J., Bremer, P.-T., Pascucci, V.
Published in Computer graphics forum (01.06.2015)
Published in Computer graphics forum (01.06.2015)
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An effective clustering scheme for high-dimensional data
He, Xuansen, He, Fan, Fan, Yueping, Jiang, Lingmin, Liu, Runzong, Maalla, Allam
Published in Multimedia tools and applications (01.05.2024)
Published in Multimedia tools and applications (01.05.2024)
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The Grassmannian Atlas: A General Framework for Exploring Linear Projections of High-Dimensional Data
Liu, S., Bremer, P.-T, Jayaraman, J. J., Wang, B., Summa, B., Pascucci, V.
Published in Computer graphics forum (01.06.2016)
Published in Computer graphics forum (01.06.2016)
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Visualnostics: Visual Guidance Pictograms for Analyzing Projections of High-dimensional Data
Lehmann, Dirk J., Kemmler, Fritz, Zhyhalava, Tatsiana, Kirschke, Marco, Theisel, Holger
Published in Computer graphics forum (01.06.2015)
Published in Computer graphics forum (01.06.2015)
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Obtaining insights from high-dimensional data: sparse principal covariates regression
Van Deun, Katrijn, Crompvoets, Elise A. V., Ceulemans, Eva
Published in BMC bioinformatics (27.03.2018)
Published in BMC bioinformatics (27.03.2018)
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ℓ1-penalized linear mixed-effects models for high dimensional data with application to BCI
Fazli, Siamac, Danóczy, Márton, Schelldorfer, Jürg, Müller, Klaus-Robert
Published in NeuroImage (Orlando, Fla.) (15.06.2011)
Published in NeuroImage (Orlando, Fla.) (15.06.2011)
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Multi-group diagnostic classification of high-dimensional data using differential scanning calorimetry plasma thermograms
Rai, Shesh N., Srivastava, Sudhir, Pan, Jianmin, Wu, Xiaoyong, Rai, Somesh P., Mekmaysy, Chongkham S., DeLeeuw, Lynn, Chaires, Jonathan B., Garbett, Nichola C.
Published in PloS one (20.08.2019)
Published in PloS one (20.08.2019)
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Inverse probability weighting is an effective method to address selection bias during the analysis of high dimensional data
Carry, Patrick M., Vanderlinden, Lauren A., Dong, Fran, Buckner, Teresa, Litkowski, Elizabeth, Vigers, Timothy, Norris, Jill M., Kechris, Katerina
Published in Genetic epidemiology (01.09.2021)
Published in Genetic epidemiology (01.09.2021)
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Interpretable SAM-kNN Regressor for Incremental Learning on High-Dimensional Data Streams
Jakob, Jonathan, Artelt, André, Hasenjäger, Martina, Hammer, Barbara
Published in Applied artificial intelligence (31.12.2023)
Published in Applied artificial intelligence (31.12.2023)
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ℓ(1)-penalized linear mixed-effects models for high dimensional data with application to BCI
Fazli, Siamac, Danóczy, Márton, Schelldorfer, Jürg, Müller, Klaus-Robert
Published in NeuroImage (Orlando, Fla.) (15.06.2011)
Published in NeuroImage (Orlando, Fla.) (15.06.2011)
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