AIMC Topic: Odorants
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Odor classification: Exploring feature performance and imbalanced data learning techniques.
PloS one
Jan 1, 2025
This research delves into olfaction, a sensory modality that remains complex and inadequately understood. We aim to fill in two gaps in recent studies that attempted to use machine learning and deep learning approaches to predict human smell percepti...
Predictive Machine Learning Models for Olfaction.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2025
A classical problem in neuroscience, biology, and chemistry is linking the chemical structure of odorants to their olfactory perception. This difficulty arises from the subjective nature of odor perception, incomplete understanding of the physiologic...
Predicting odor profile of food from its chemical composition: Towards an approach based on artificial intelligence and flavorists expertise.
Mathematical biosciences and engineering : MBE
Nov 14, 2023
Odor is central to food quality. Still, a major challenge is to understand how the odorants present in a given food contribute to its specific odor profile, and how to predict this olfactory outcome from the chemical composition. In this proof-of-con...
Parsing Sage and Rosemary in Time: The Machine Learning Race to Crack Olfactory Perception.
Chemical senses
Jan 1, 2021
Color and pitch perception are largely understandable from characteristics of physical stimuli: the wavelengths of light and sound waves, respectively. By contrast, understanding olfactory percepts from odorous stimuli (volatile molecules) is much mo...
A System-Wide Understanding of the Human Olfactory Percept Chemical Space.
Chemical senses
Jan 1, 2021
The fundamental units of olfactory perception are discrete 3D structures of volatile chemicals that each interact with specific subsets of a very large family of hundreds of odorant receptor proteins, in turn activating complex neural circuitry and p...
Artificial intelligence deciphers codes for color and odor perceptions based on large-scale chemoinformatic data.
GigaScience
Feb 1, 2020
BACKGROUND: Color vision is the ability to detect, distinguish, and analyze the wavelength distributions of light independent of the total intensity. It mediates the interaction between an organism and its environment from multiple important aspects....
An Olfactory Sensor Array for Predicting Chemical Odor Characteristics from Mass Spectra with Deep Learning.
Methods in molecular biology (Clifton, N.J.)
Jan 1, 2019
Machine learning techniques are useful for applications such as electronic nose (e-nose) systems to classify or identify the target odor. In recent years, deep learning is regarded as one of the most powerful machine learning methods. It enables rese...
Machine Learning in Human Olfactory Research.
Chemical senses
Jan 1, 2019
The complexity of the human sense of smell is increasingly reflected in complex and high-dimensional data, which opens opportunities for data-driven approaches that complement hypothesis-driven research. Contemporary developments in computational and...
A neural algorithm for a fundamental computing problem.
Science (New York, N.Y.)
Nov 10, 2017
Similarity search-for example, identifying similar images in a database or similar documents on the web-is a fundamental computing problem faced by large-scale information retrieval systems. We discovered that the fruit fly olfactory circuit solves t...
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