1 citations · 2 across the 3 of their papers we have counts for
3 papers
eess.IV2026
Deep Learning for Automated Quantification of Tumor-Associated Macrophages from H&E-Stained Slides in Diffuse Large B-Cell Lymphoma
Anastasiia Studenikina, Svetlana Illarionova, Joaquim Carreras +7
While M2-polarized tumor-associated macrophages (TAMs) have been established as indicators of disease aggressiveness in diffuse large B-cell lymphoma (DLBCL), traditional CD163 imm…
cs.CL2024★ 1 cited
Prompt-Efficient Fine-Tuning for GPT-like Deep Models to Reduce Hallucination and to Improve Reproducibility in Scientific Text Generation Using Stochastic Optimisation Techniques
Daniil Sulimov
Large Language Models (LLMs) are increasingly adopted for complex scientific text generation tasks, yet they often suffer from limitations in accuracy, consistency, and hallucinati…
cs.LG2024★ 1 cited
Performance Insights-based AI-driven Football Transfer Fee Prediction
Daniil Sulimov
We developed an artificial intelligence approach to predict the transfer fee of a football player. This model can help clubs make better decisions about which players to buy and se…