Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

L Ironi

Showing results (1-10 of 6) with videos related to

Pageof 1
Sort By:
Computer Methods and Programs in Biomedicine|April 1, 1994
A framework for building and simulating qualitative models of compartmental systemsL Ironi, M Stefanelli
Artificial Intelligence in Medicine|January 13, 2001
Learning from biomedical time series through the integration of qualitative models and fuzzy systemsR Bellazzi, R Guglielmann, L Ironi
IEEE Transactions on Neural Networks|February 6, 2008
How to improve fuzzy-neural system modeling by means of qualitative simulationR Bellazzi, R Guglielmann, L Ironi
Artificial Intelligence in Medicine|October 21, 1998
Qualitative models and fuzzy systems: an integrated approach for learning from dataR Bellazzi, L Ironi, R Guglielmann, et al.
Journal of Biomedical Informatics|April 30, 2002
A hybrid input-output approach to model metabolic systems: an application to intracellular thiamine kineticsR Bellazzi, R Guglielmann, L Ironi, et al.
Pharmaceutical Research|September 25, 1999
Model-based interpretation of creep profiles for the assessment of polymer-mucin interactionS Rossi, M C Bonferoni, C Caramella, et al.
Pageof 1

Showing results (1-10 of 6) with videos related to

Sort By:
Pageof 1
Computer Methods and Programs in Biomedicine|April 1, 1994
A framework for building and simulating qualitative models of compartmental systemsL Ironi, M Stefanelli
Artificial Intelligence in Medicine|January 13, 2001
Learning from biomedical time series through the integration of qualitative models and fuzzy systemsR Bellazzi, R Guglielmann, L Ironi
IEEE Transactions on Neural Networks|February 6, 2008
How to improve fuzzy-neural system modeling by means of qualitative simulationR Bellazzi, R Guglielmann, L Ironi
Artificial Intelligence in Medicine|October 21, 1998
Qualitative models and fuzzy systems: an integrated approach for learning from dataR Bellazzi, L Ironi, R Guglielmann, et al.
Journal of Biomedical Informatics|April 30, 2002
A hybrid input-output approach to model metabolic systems: an application to intracellular thiamine kineticsR Bellazzi, R Guglielmann, L Ironi, et al.
Pharmaceutical Research|September 25, 1999
Model-based interpretation of creep profiles for the assessment of polymer-mucin interactionS Rossi, M C Bonferoni, C Caramella, et al.
Pageof 1