Comparative Analysis of Fine-tuned Deep Learning Language Models for ICD-10 Classification Task for Bulgarian Language

no code implementations • RANLP 2021 • Boris Velichkov, Sylvia Vassileva, Simeon Gerginov, Boris Kraychev, Ivaylo Ivanov, Philip Ivanov, Ivan Koychev, Svetla Boytcheva

In our research study all BERT models are fine-tuned with additional medical texts in Bulgarian and then applied to the classification task for encoding medical diagnoses in Bulgarian into ICD-10 codes.

FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning

no code implementations • 11 Oct 2023 • Ensiye Kiyamousavi, Boris Kraychev, Ivan Koychev

Through a comparative study, we demonstrate the superiority of our method over existing FL data partitioning approaches, showcasing its potential to challenge model aggregation algorithms.

Benchmarking Federated Learning