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Loic Sentilhes et al.
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INTERNATIONAL JOURNAL OF GYNECOLOGY & OBSTETRICS (2017)
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Adam Lemancewicz et al.
BIOCYBERNETICS AND BIOMEDICAL ENGINEERING (2016)
Prediction of preterm delivery in symptomatic women (preterm labor)
G. Benoist
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G. Benoist
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Separating sets of term and pre-term uterine EMG records
A. Smrdel et al.
PHYSIOLOGICAL MEASUREMENT (2015)
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Konstantina Kourou et al.
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C. Rabotti et al.
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Classification of Sentimental Reviews Using Machine Learning Techniques
Abinash Tripathy et al.
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Hinke de Lau et al.
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D. Alamedine et al.
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Malunoud Hassan et al.
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A. Diab et al.
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Wim J. E. P. Lammers
REPRODUCTIVE SCIENCES (2013)
Efficient feature selection filters for high-dimensional data
Artur J. Ferreira et al.
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Noninvasive uterine electromyography for prediction of preterm delivery
Miha Lucovnik et al.
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Comparison between approximate entropy, correntropy and time reversibility: Application to uterine electromyogram signals
Mahmoud Hassan et al.
MEDICAL ENGINEERING & PHYSICS (2011)
Multivariate multiscale entropy: A tool for complexity analysis of multichannel data
Mosabber Uddin Ahmed et al.
PHYSICAL REVIEW E (2011)
Noninvasive Estimation of the Electrohysterographic Action-Potential Conduction Velocity
Chiara Rabotti et al.
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING (2010)
Complex network measures of brain connectivity: Uses and interpretations
Mikail Rubinov et al.
NEUROIMAGE (2010)
Learning from Imbalanced Data
Haibo He et al.
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING (2009)
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Thomas Hofmann et al.
ANNALS OF STATISTICS (2008)
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G. Fele-Zorz et al.
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Identification of human term and preterm labor using artificial neural networks on uterine electromyography data
William L. Maner et al.
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I Verdenik et al.
EUROPEAN JOURNAL OF OBSTETRICS GYNECOLOGY AND REPRODUCTIVE BIOLOGY (2001)
Surrogate time series
T Schreiber et al.
PHYSICA D-NONLINEAR PHENOMENA (2000)