Andrey Kormilitzin | DeepAI

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∙ 05/11/2022

Clinical Prompt Learning with Frozen Language Models

Prompt learning is a new paradigm in the Natural Language Processing (NL...

0 Niall Taylor, et al. ∙

∙ 11/15/2021

Rationale production to support clinical decision-making

The development of neural networks for clinical artificial intelligence ...

0 Niall Taylor, et al. ∙

∙ 10/23/2020

Population Gradients improve performance across data-sets and architectures in object classification

The most successful methods such as ReLU transfer functions, batch norma...

2 Yurika Sakai, et al. ∙

∙ 10/16/2020

An efficient representation of chronological events in medical texts

In this work we addressed the problem of capturing sequential informatio...

10 Andrey Kormilitzin, et al. ∙

∙ 03/03/2020

Med7: a transferable clinical natural language processing model for electronic health records

The field of clinical natural language processing has been advanced sign...

0 Andrey Kormilitzin, et al. ∙

∙ 08/29/2019

Deep Learning for Estimating Synaptic Health of Primary Neuronal Cell Culture

Understanding the morphological changes of primary neuronal cells induce...

10 Andrey Kormilitzin, et al. ∙

∙ 01/06/2019

Named Entity Recognition in Electronic Health Records Using Transfer Learning Bootstrapped Neural Networks

Neural networks (NNs) have become the state of the art in many machine l...

0 Luka Gligic, et al. ∙

∙ 11/13/2018

Few-shot Learning for Named Entity Recognition in Medical Text

Deep neural network models have recently achieved state-of-the-art perfo...

0 Maximilian Hofer, et al. ∙

∙ 08/03/2017

Detecting early signs of depressive and manic episodes in patients with bipolar disorder using the signature-based model

Recurrent major mood episodes and subsyndromal mood instability cause su...

0 Andrey Kormilitzin, et al. ∙

∙ 03/11/2016

A Primer on the Signature Method in Machine Learning

In these notes, we wish to provide an introduction to the signature meth...

0 Ilya Chevyrev, et al. ∙

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