Finn Kuusisto

A scutum-focused deep learning pipeline for species-level identification of Aedes aegypti and Aedes albopictus from citizen-science images

The paper develops a deep learning pipeline to identify Aedes aegypti and Aedes albopictus from citizen-science images by focusing on the scutum region, achieving improved classification accuracy.

Serial KinderMiner (SKiM) Discovers and Annotates Biomedical Knowledge Using Co-Occurrence and Transformer Models

SKiM discovers and annotates biomedical knowledge using co-occurrence and transformer models to find A-B-C relationships between user-defined concepts.

SKiM - A generalized literature-based discovery system for uncovering novel biomedical knowledge from PubMed

SKiM is a literature-based discovery system that rediscovered biomedical knowledge and identified potential drug candidates by analyzing PubMed literature.