Expansive linguistic representations to predict interpretable odor mixture discriminability.

Dhurandhar, Amit; Li, Hongyang; Cecchi, Guillermo A; Meyer, Pablo

Dhurandhar, Amit; Li, Hongyang; Cecchi, Guillermo A; Meyer, Pablo.

Afiliación

Dhurandhar A; Foundations of Trusted Artificial Intelligence, T.J. Watson IBM Research Laboratory, 1101 Kitchawan Rd, Yorktown Heights, NY 10598, United States.
Li H; Healthcare and Life Sciences, T.J. Watson IBM Research Laboratory, 1101 Kitchawan Rd, Yorktown Heights, NY 10598, United States.
Cecchi GA; Healthcare and Life Sciences, T.J. Watson IBM Research Laboratory, 1101 Kitchawan Rd, Yorktown Heights, NY 10598, United States.
Meyer P; Healthcare and Life Sciences, T.J. Watson IBM Research Laboratory, 1101 Kitchawan Rd, Yorktown Heights, NY 10598, United States.

Chem Senses ; 482023 01 01.

Article en En | MEDLINE | ID: mdl-37262433

Asunto(s)

Odorantes; Olfato; Animales; Humanos; Lingüística; Semántica; Lenguaje

Palabras clave

discriminability; machine learning; metamers; metric learning; natural language processing; olfactory mixtures

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Olfato / Odorantes Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Animals / Humans Idioma: En Revista: Chem Senses Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo

Imprimir

XML

PubMed Links

Buscar en Google