Download Grupo de Inteligencia Artificial y Razonamiento Aproximado (GIARA)

Grupo de Inteligencia Artificial y Razonamiento
Aproximado (GIARA)
Dr. Humberto Bustince Sola
[email protected] – http://giara.unavarra.es
Universidad Pública de Navarra
Application field: Decision making
Collaborator Institution: Universidad Pública de Navarra, Universidad de
Granada y Caja de Ahorros de Navarra.
Main targeted goal: Provide a software to determine morosity rates.
Methodological contribution. We have developed a software to extract data
from large bank datasets so that morosity can be properly predicted.
Impact in domain field. Help the bank to properly approve or disprove money
loans.
Contact person for this
([email protected])
particular application:
Humberto
Bustince,
Grupo de Inteligencia Artificial y Razonamiento
Aproximado (GIARA)
Dr. Humberto Bustince Sola
[email protected] – http://giara.unavarra.es
Universidad Pública de Navarra
Application field: Decision making
Collaborator Institutions: UPNA, TRACASA
Main targeted goal: To provide a software for house valuation
Methodological contribution. We have developed a software to determine
the most accurate price for a property.
Impact in domain field. It has allowed the elaboration of accurate carts for
the paying of real estate taxes.
Contact person for this
([email protected])
particular application:
Humberto
Bustince,
Grupo de Inteligencia Artificial y Razonamiento
Aproximado (GIARA)
Dr. Humberto Bustince Sola
[email protected] – http://giara.unavarra.es
Universidad Pública de Navarra
Application field: Decision making
Collaborator Institutions: UPNA, UGr, UC3M, INCITA
Main targeted goal: To provide a software for fast identification of fingerprints
Methodological contribution. We are collaborating in the development of a
software to identify fingerprints in real time by comparing it to a database of
several million of fingerprints
Impact in domain field. To allow the generalization of technical devices for
identification by fingerprints in market operations.
Contact person for this
([email protected])
particular application:
Humberto
Bustince,
Grupo de Inteligencia Artificial y Razonamiento
Aproximado (GIARA)
Dr. Humberto Bustince Sola
[email protected] – http://giara.unavarra.es
Universidad Pública de Navarra
Application field: Decision making
Collaborator Institutions: Universidad Pública de Navarra
Main targeted goal: To provide a software for determining the ripeness
degree of rice.
Methodological contribution. We have developed a software to determine if
rice is ripe or not from its color in an image.
Impact in domain field. To help to improve the quality of rice production in
some areas of Navarra
Contact person for this
([email protected])
particular application:
Humberto
Bustince,