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2020 – today
- 2024
[j5]Liangkang Wang, Irina Gaynanova, Benjamin Risk:
singR: An R Package for Simultaneous Non-Gaussian Component Analysis for Data Integration. R J. 15(4): 69-83 (2024)- [c4]Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko, Nathaniel J. Fernandes, Nicholas Kasman, Irina Gaynanova:
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks. ICLR 2024 - [i7]Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko, Nathaniel J. Fernandes, Nicholas Kasman, Irina Gaynanova:
GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks. CoRR abs/2410.05780 (2024) - [i6]Renat Sergazinov, Armeen Taeb, Irina Gaynanova:
A spectral method for multi-view subspace learning using the product of projections. CoRR abs/2410.19125 (2024) - 2023
- [c3]Renat Sergazinov, Mohammadreza Armandpour, Irina Gaynanova
:
Gluformer: Transformer-based Personalized glucose Forecasting with uncertainty quantification. ICASSP 2023: 1-5 - 2022
- [j4]Dongbang Yuan, Irina Gaynanova:
Double-Matched Matrix Decomposition for Multi-View Data. J. Comput. Graph. Stat. 31(4): 1114-1126 (2022) - [i5]Renat Sergazinov, Mohammadreza Armandpour, Irina Gaynanova:
Gluformer: Transformer-Based Personalized Glucose Forecasting with Uncertainty Quantification. CoRR abs/2209.04526 (2022) - 2021
- [j3]Grace Yoon, Christian L. Müller, Irina Gaynanova:
Fast Computation of Latent Correlations. J. Comput. Graph. Stat. 30(4): 1249-1256 (2021) - [j2]Mingze Huang, Christian L. Müller, Irina Gaynanova:
latentcor: An R Package for estimating latent correlations from mixed data types. J. Open Source Softw. 6(65): 3634 (2021) - [c2]Alexander F. Lapanowski, Irina Gaynanova:
Compressing large sample data for discriminant analysis. IEEE BigData 2021: 1068-1076 - 2020
- [i4]Alexander F. Lapanowski, Irina Gaynanova:
Compressing Large Sample Data for Discriminant Analysis. CoRR abs/2005.03858 (2020)
2010 – 2019
- 2019
- [j1]Irina Gaynanova, Tianying Wang:
Sparse quadratic classification rules via linear dimension reduction. J. Multivar. Anal. 169: 278-299 (2019) - [c1]Alexander F. Lapanowski, Irina Gaynanova:
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring. AISTATS 2019: 1704-1713 - [i3]Alex Lapanowski, Irina Gaynanova:
Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring. CoRR abs/1902.04248 (2019) - 2018
- [i2]Yunfeng Zhang, Irina Gaynanova:
Joint association and classification analysis of multi-view data. CoRR abs/1811.08511 (2018) - 2016
- [i1]Jacob Bien, Irina Gaynanova, Johannes Lederer, Christian L. Müller:
Non-convex Global Minimization and False Discovery Rate Control for the TREX. CoRR abs/1604.06815 (2016)
Coauthor Index
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