3 papers
cs.IR2026
Statistically Supported LLM Ingredient and Recipe Data Collection in Computational Nutrition
James Izzard, Hassan Eshkiki, Fabio Caraffini
Computational nutrition needs precise ingredient data, but current databases are incomplete, inconsistent, and built for human reference rather than automated reasoning. LLMs could…
cs.CV2026
Multi-Temporal Frames Projection for Dynamic Processes Fusion in Fluorescence Microscopy
Hassan Eshkiki, Sarah Costa, Mostafa Mohammadpour +3
Fluorescence microscopy is widely employed for the analysis of living biological samples; however, the utility of the resulting recordings is frequently constrained by noise, tempo…
cs.CL2025
Named Entity Recognition for the Kurdish Sorani Language: Dataset Creation and Comparative Analysis
Bakhtawar Abdalla, Rebwar Mala Nabi, Hassan Eshkiki +1
This work contributes towards balancing the inclusivity and global applicability of natural language processing techniques by proposing the first 'name entity recognition' dataset…