Irina Gaynanova — accepted AI-conference papers

2024

GlucoBench: Curated List of Continuous Glucose Monitoring Datasets with Prediction Benchmarks

Renat Sergazinov, Elizabeth Chun, Valeriya Rogovchenko, Nathaniel J Fernandes, Nicholas Kasman, Irina Gaynanova

ICLR 2024poster

The rising rates of diabetes necessitate innovative methods for its management. Continuous glucose monitors (CGM) are small medical devices that measure blood glucose levels at regular intervals providing insights into daily patterns of glucose variation. Forecasting of glucose trajectories based on…

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2023

Gluformer: Transformer-based Personalized glucose Forecasting with uncertainty quantification

Renat Sergazinov, Mohammadreza Armandpour, Irina Gaynanova

ICASSP 2023accepted

Deep learning models achieve state-of-the art results in predicting blood glucose trajectories, with a wide range of architectures being proposed. However, the adaptation of such models in clinical practice is slow, largely due to the lack of uncertainty quantification of provided predictions. In th…

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2019

Sparse Feature Selection in Kernel Discriminant Analysis via Optimal Scoring

Alexander F. Lapanowski, Irina Gaynanova

AISTATS 2019poster

We consider the two-group classification problem and propose a kernel classifier based on the optimal scoring framework. Unlike previous approaches, we provide theoretical guarantees on the expected risk consistency of the method. We also allow for feature selection by imposing structured sparsity u…

Cited by 9 Source ↗PDF ↗code ↗Scholar ↗