18 citations · 36 across the 4 of their papers we have counts for
5 papers
Fine-tuning of Geospatial Foundation Models for Aboveground Biomass Estimation
Michal Muszynski, Levente Klein, Ademir Ferreira da Silva +13
Global vegetation structure mapping is critical for understanding the global carbon cycle and maximizing the efficacy of nature-based carbon sequestration initiatives. Moreover, ve…
Fast-Slow Streamflow Model Using Mass-Conserving LSTM
Miguel Paredes Quiñones, Maciel Zortea, Leonardo S. A. Martins
Streamflow forecasting is key to effectively managing water resources and preparing for the occurrence of natural calamities being exacerbated by climate change. Here we use the co…
Geostatistical Learning: Challenges and Opportunities
Júlio Hoffimann, Maciel Zortea, Breno de Carvalho +1
Statistical learning theory provides the foundation to applied machine learning, and its various successful applications in computer vision, natural language processing and other s…
Comparison of computer systems and ranking criteria for automatic melanoma detection in dermoscopic images
Kajsa Møllersen, Maciel Zortea, Thomas R. Schopf +2
Melanoma is the deadliest form of skin cancer. Computer systems can assist in melanoma detection, but are not widespread in clinical practice. In 2016, an open challenge in classif…
Computer-Aided Decision Support for Melanoma Detection Applied on Melanocytic and Nonmelanocytic Skin Lesions: A Comparison of Two Systems Based on Automatic Analysis of Dermoscopic Images
Kajsa Møllersen, Herbert Kirchesch, Maciel Zortea +3
Commercially available clinical decision support systems (CDSSs) for skin cancer have been designed for the detection of melanoma only. Correct use of the systems requires expert k…