h(odor): Interactive Discovery of Hypotheses on the Structure-Odor Relationship in Neuroscience - Archive ouverte HAL Accéder directement au contenu
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.
Fichier principal
Vignette du fichier
pkdd16.pdf (701.05 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

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⟩
125 Consultations
289 Téléchargements

Partager

Gmail Mastodon Facebook X LinkedIn More