Boris Kraychev, PhD

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Boris Kraychev, PhD

Experienced Researcher

R Research and innovation

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Dream it. Plan it. Do it.

Boris Kraychev is an experienced researcher at the Data Analytics Research group at GATE Institute. His research area is focused on natural language processing: opinion mining, document and news classification as well as on recent technologies for Deep Learning and NLP, such as recurrent neural networks, LSTMs, and GRUs.

He graduated from the Faculty of Mathematics and Informatics (FMI) at Sofia University in 2006 and received a doctorate in Artificial intelligence in 2013. From 1998 to 2009 he developed software for the management of financial institutions as CTO and then in 2010 he founded a company working in the area of NLP and data analysis.

Publications

B. Velichkov, S. Vassileva, S. Gerginov, B. Kraychev, I. Ivanov, P. Ivanov, I. Koychev, S. Boytcheva, Comparative Analysis of Fine-tuned Deep Learning Language Models for ICD-10 classification task for Bulgarian Language RANLP 2021,

Kraychev B, Kyanousavi E, Koychev I , FedGrid: Federated Model Aggregation via Grid Shifting The 16th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2023), 5-8 Dec. Taormina Italy ,

Kiyamousavi E, Kraychev B, Koychev I , FedSym: Unleashing the Power of Entropy for Benchmarking the Algorithms for Federated Learning 2023 IEEE International Conference on Big Data (IEEE BigData 2023), 15-18 Dec. Sorrento, Italy ,

Krasteva I, Kraychev B, Kiyamousavi E. , How Federated Machine Learning Helps Increase the Mutual Benefit of Data-Sharing Ecosystems Proc - 2023 IEEE/ACM 2nd International Conference on AI Engineering - Software Engineering for AI, CAIN 2023. 2023;96–7.,