Yearly Archives: 2023

Automatic Construction of Sememe Knowledge Bases from Machine Readable Dictionaries

Check out our recent IEEE Transactions on Audio, Speech, and Language Processing article on automatic sememe knowledge base construction. Sememes are the smallest and indivisible semantic units of word meaning. A predefined set of sememes is theoretically considered “the periodic table” of meaning in a natural language. However, unlike chemistry, the composition of the ultimate […]

Read More

MRM article on Eddy Current Losses

Manoucher Takrimi authored an article on the eddy current losses in Magnetic Resonance in Medince. The article is visible in the offical web page. In this research, a novel method is introduced to enhance the performance of gradient array coils used in medical imaging. The approach relies on a computational electromagnetic strategy to estimate and control power […]

Read More

Quantitative radial force measurements of Woven EndoBridge devices

Dr. Algın ve ekibinin yeni deneysel çalışması yayınlandı. Prof. Dr. Oktay ALGIN’ın Gazi Üniversitesi ile son zamanlarda yaptıkları araştırma ‘Interventional Neuroradiology’ adlı uluslararası bilimsel dergide yayınlandı. Bu çalışmada, anevrizmaların tedavisininde kullanılan WEB cihazlarının boyut seçiminde faydalı olabilecek laboratuvar verileri ve geliştirilen ölçüm sistemi gösterildi. İlgili makalelere aşağıdaki internet adreslerinden ulaşılabilir; https://pubmed.ncbi.nlm.nih.gov/37908102/

Read More

RadGT: Graph and Transformer-Based Automotive Radar Point Cloud Segmentation

The work of Dr. Koç and his collaborators titled “RadGT: Graph and Transformer-based Automotive Radar Point Cloud Segmentation” has been published in IEEE Sensors Letters. In this study, we delve into the world of automotive radar data processing, leveraging advanced techniques such as graph-based methods and Transformers. Our research addresses critical challenges in radar point […]

Read More

Measuring and Mitigating Gender Bias in Legal Contextualized Language Models

As the popularity and importance of large language models (LLMs) are soaring by the day, I am happy to announce that our recent work on gender bias and fairness in contextualized language models for natural legal language processing (NNLP) is now out at ACM Transactions on Knowledge Discovery from Data! Computational law, mostly based on […]

Read More