Marílton Sanchotene de Aguiar

A New Approach for Detecting Fundus Lesions Using Image Processing and Deep Neural Network Architecture Based on YOLO Model

Carlos Santos, Marílton Sanchotene de Aguiar, Daniel Welfer et al. · Sensors · 2022 · 69 citations · Full text

Convolutional Neural Network, Engineering, Digital Pathology +25

A Learning Analytics Approach to Identify Students at Risk of Dropout: A Case Study with a Technical Distance Education Course

Emanuel Marques Queiroga, João Ladislau Barbará Lopes, Kristofer S. Kappel et al. · Applied Sciences · 2020 · 66 citations · Full text

Artificial Intelligence, Engineering, Machine Learning +27

Conditioned place aversion produced by microinjections of substance P into the periaqueductal gray of rats

Marílton Sanchotene de Aguiar, Marcus Lira Brandão · Behavioural Pharmacology · 1994 · 58 citations

Artificial intelligence techniques coupled with seasonality measures for hydrological regionalization of Q90 under Brazilian conditions

Samuel Beskow, Carlos Rogério de Mello, Marcelle Martins Vargas et al. · Journal of Hydrology · 2016 · 41 citations

Climatology, Meteorology, Engineering +13

Artificial intelligence for identifying hydrologically homogeneous regions: A state‐of‐the‐art regional flood frequency analysis

Felício Cassalho, Samuel Beskow, Carlos Rogério de Mello et al. · Hydrological Processes · 2019 · 31 citations

Artificial Intelligence, Engineering, Hydrologic Engineering +18