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Aprendizado de máquina simbólico e técnicas fractais para caracterizar rejeição em biópsia miocárdica
(2013-03-26)
This work combines symbolic machine learning and multiscale fractal techniques to generate models that characterize cellular rejection in myocardial biopsies and that can base a diagnosis support system. The models express ...
Aprendizado de máquina simbólico e técnicas fractais para caracterizar rejeição em biópsia miocárdica
(2013-03-26)
This work combines symbolic machine learning and multiscale fractal techniques to generate models that characterize cellular rejection in myocardial biopsies and that can base a diagnosis support system. The models express ...
Intelligent data analysis and model interpretation with spectral analysis fuzzy symbolic modeling
(Elsevier Science Inc, 2011-09)
This paper proposes fuzzy symbolic modeling as a framework for intelligent data analysis and model interpretation in classification and regression problems. The fuzzy symbolic modeling approach is based on the eigenstructure ...
Symbolic AI for XAI: Evaluating LFIT inductive programming for explaining biases in machine learning
Machine learning methods are growing in relevance for biometrics and personal information processing in domains such as forensics, e-health, recruitment, and e-learning. In these domains, white-box (human-readable) ...
Symbolic one-class learning from imbalanced datasets: Application in medical diagnosis
(World Scientic Publishing Company, 2009)
Symbolic one-class learning from imbalanced datasets: Application in medical diagnosis
(World Scientic Publishing Company, 2009)