Probabilistic modeling for decision making and prediction in water resources: an application in food security

• Grant number: 21/02464-0
• Support Opportunities: Scholarships in Brazil - Technical Training Program - Technical Training
• Start date: April 01, 2021
• End date: March 31, 2022
• Field of knowledge: Physical Sciences and Mathematics - Computer Science - Computer Systems
• Agreement: IBM Brasil
• Principal Investigator: Alexandre Cláudio Botazzo Delbem
• Grantee: Ângela Silviane Moura Cunha
• Host Institution: Instituto de Ciências Matemáticas e de Computação (ICMC). Universidade de São Paulo (USP). São Carlos , SP, Brazil
• Company: Universidade de São Paulo (USP). Centro de Inovação da USP (INOVA)
• Associated research grant: 19/07665-4 - Center for Artificial Intelligence, AP.eScience.CPE

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

RIBEIRO, VITOR P.; CUNHA, ANGELA S. M.; DUARTE, SERGIO N.; PADOVANI, CARLOS R.; MARQUES, PATRICIA A. A.; MACIEL, CARLOS D.; BALESTIERI, JOSE ANTONIO P.; IEEE. Bayesian Network for Hydrological Model: an inference approach. 2022 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN), v. N/A, p. 7-pg., 2022-01-01. (14/50851-0, 21/02464-0, 18/19150-6)