2 papers
q-bio.QM2025
Exploring Molecular Odor Taxonomies for Structure-based Odor Predictions using Machine Learning
Akshay Sajan, Stijn Sluis, Reza Haydarlou +6
One of the key challenges to predict odor from molecular structure is unarguably our limited understanding of the odor space and the complexity of the underlying structure-odor rel…
cs.CV2025
Smelly, dense, and spreaded: The Object Detection for Olfactory References (ODOR) dataset
Mathias Zinnen, Prathmesh Madhu, Inger Leemans +6
Real-world applications of computer vision in the humanities require algorithms to be robust against artistic abstraction, peripheral objects, and subtle differences between fine-g…