h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience - Archive ouverte HAL
Communication Dans Un Congrès Année : 2016

h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience

Résumé

From a molecule to the brain perception, olfaction is a complex phenomenon that remains to be fully understood in neuroscience. Latest studies reveal that the physico-chemical properties of volatile molecules can partly explain the odor perception. Neuroscientists are then looking for new hypotheses to guide their research: physico-chemical descriptors distinguishing a subset of perceived odors. To answer this problem, we present the platform h(odor) that implements descriptive rule discovery algorithms suited for this task. Most importantly, the ol-faction experts can interact with the discovery algorithm to guide the search in a huge description space w.r.t their non-formalized background knowledge thanks to an ergonomic user interface.
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Dates et versions

hal-01346679 , version 1 (19-07-2016)

Identifiants

  • HAL Id : hal-01346679 , version 1

Citer

Guillaume Bosc, Marc Plantevit, Jean-François Boulicaut, Moustafa Bensafi, Mehdi Kaytoue. h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience. ECML/PKDD 2016 (Demo), Sep 2016, Riva del Garda, Italy. pp.17--21. ⟨hal-01346679⟩
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