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Adaptive Neuro-Fuzzy Inference Systems vs. Stochastic Models for Mortality Data
2014A comparative analysis is done between stochastic models and Adaptive Neuro–Fuzzy Inference System applied to the projection of the longevity trend. The stochastic models provides the heuristic rule for obtaining projections. In the context of ANFIS models, the fuzzy logic allows for determining the learning algorithm on the basis of the relationship ...
RUSSOLILLO, Maria +2 more
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Automatic diagnosis of diabetes using adaptive neuro‐fuzzy inference systems
Expert Systems, 2010Abstract: A new approach based on an adaptive neuro‐fuzzy inference system (ANFIS) is presented for diagnosis of diabetes diseases. The Pima Indians diabetes data set contains records of patients with known diagnosis. The ANFIS classifiers learn how to differentiate a new case in the domain by being given a training set of such records.
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Adaptive Neuro-Fuzzy Inference Systems for Extracting Fetal Electrocardiogram
2006 IEEE International Symposium on Signal Processing and Information Technology, 2006In this paper, we present an efficient technique for extracting the fetal electrocardiogram (FECG) from a composite ECG recording. Our technique uses an adaptive neuro-fuzzy inference system (ANFIS) that operates on two ECG signals recorded at the thoracic and abdominal areas of the mother's skin.
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Causal inference for time series
Nature Reviews Earth & Environment, 2023Jakob Runge, Gherardo Varando
exaly
Gene regulatory network inference in the era of single-cell multi-omics
Nature Reviews Genetics, 2023Pau Badia-i-Mompel +2 more
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Inference in artificial intelligence with deep optics and photonics
Nature, 2020Gordon Wetzstein +2 more
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Bayesian statistics and modelling
Nature Reviews Methods Primers, 2021Rens van de Schoot +2 more
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Multi-omics single-cell data integration and regulatory inference with graph-linked embedding
Nature Biotechnology, 2022Zhi-Jie Cao, Ge Gao
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