Comprehensive Study on German Language Models for Clinical and Biomedical Text Understanding

no code implementations • 8 Apr 2024 • Ahmad Idrissi-Yaghir, Amin Dada, Henning Schäfer, Kamyar Arzideh, Giulia Baldini, Jan Trienes, Max Hasin, Jeanette Bewersdorff, Cynthia S. Schmidt, Marie Bauer, Kaleb E. Smith, Jiang Bian, Yonghui Wu, Jörg Schlötterer, Torsten Zesch, Peter A. Horn, Christin Seifert, Felix Nensa, Jens Kleesiek, Christoph M. Friedrich

Recent advances in natural language processing (NLP) can be largely attributed to the advent of pre-trained language models such as BERT and RoBERTa.

Domain Adaptation Extractive Question-Answering +5

Machine Learning Methods Applied to Cortico-Cortical Evoked Potentials Aid in Localizing Seizure Onset Zones

1 code implementation • 15 Nov 2022 • Ian G. Malone, Kaleb E. Smith, Morgan E. Urdaneta, Tyler S. Davis, Daria Nesterovich Anderson, Brian J. Phillip, John D. Rolston, Christopher R. Butson

Epilepsy affects millions of people, reducing quality of life and increasing risk of premature death.

Building an AI-ready RSE Workforce

no code implementations • 9 Nov 2021 • Ying Zhang, Matthew A. Gitzendanner, Dan S. Maxwell, Justin W. Richardson, Kaleb E. Smith, Eric A. Stubbs, Brian J. Stucky, Jingchao Zhang, Erik Deumens

Artificial Intelligence has been transforming industries and academic research across the globe, and research software development is no exception.

A Spectral Enabled GAN for Time Series Data Generation

no code implementations • 2 Mar 2021 • Kaleb E. Smith, Anthony O. Smith

uTSGAN showed to outperform TSGAN in 80\% of the data sets by the same number of training epochs and 60\% of the data sets in 3/4th the amount of training time or less while maintaining the few shot generation ability with better FID scores across those data sets.

Generative Adversarial Network Time Series +1