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04/11/2022
Time-Adaptive Recurrent Neural Networks
Data are often sampled irregularly in time. Dealing with this using Recu...
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03/18/2022
Towards Lithuanian grammatical error correction
Everyone wants to write beautiful and correct text, yet the lack of lang...
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01/31/2022
Correcting diacritics and typos with a ByT5 transformer model
Due to the fast pace of life and online communications and the prevalenc...
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07/05/2021
Automated age-related macular degeneration area estimation – first results
This work aims to research an automatic method for detecting Age-related...
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04/23/2021
Generating abstractive summaries of Lithuanian news articles using a transformer model
In this work, we train the first monolingual Lithuanian transformer mode...
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06/19/2020
Efficient implementations of echo state network cross-validation
Background/introduction: Cross-validation is still uncommon in time seri...
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05/12/2020
Localized convolutional neural networks for geospatial wind forecasting
Convolutional Neural Networks (CNN) possess many positive qualities when...
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04/03/2020
Testing pre-trained Transformer models for Lithuanian news clustering
A recent introduction of Transformer deep learning architecture made bre...
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08/22/2019
