1 citations · 1 across the 1 of their papers we have counts for
4 papers
Million-scale multimodal pollen microscopy with expert-guided foundation models
András Biricz, Björn Gedda, Donát Magyar +4
Automated pollen identification from microscopy remains a bottleneck in aerobiology, palaeoecology and biodiversity monitoring, because scalable systems must generalise across spec…
Classification of colorectal primer carcinoma from normal colon with mid-infrared spectra
B. Borkovits, E. Kontsek, A. Pesti +5
In this project, we used formalin-fixed paraffin-embedded (FFPE) tissue samples to measure thousands of spectra per tissue core with Fourier transform mid-infrared spectroscopy usi…
Investigating the performance of Retrieval-Augmented Generation and fine-tuning for the development of AI-driven knowledge-based systems
Robert Lakatos, Peter Pollner, Andras Hajdu +1
The development of generative large language models (G-LLM) opened up new opportunities for the development of new types of knowledge-based systems similar to ChatGPT, Bing, or Gem…
A multimodal deep learning architecture for smoking detection with a small data approach
Robert Lakatos, Peter Pollner, Andras Hajdu +1
Introduction: Covert tobacco advertisements often raise regulatory measures. This paper presents that artificial intelligence, particularly deep learning, has great potential for d…