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Methods in Molecular Biology (Clifton, N.J.)|September 14, 2010
Reverse engineering gene regulatory networks related to quorum sensing in the plant pathogen Pectobacterium atrosepticumKuang Lin, Dirk Husmeier, Frank Dondelinger, et al.
Neural Networks : the Official Journal of the International Neural Network Society|March 1, 1997
The New ERA in Supervised LearningJOHN G. TAYLOR, ADRIAN J. SHEPHERD, DENISE GORSE
Biomechanics and Modeling in Mechanobiology|October 5, 2018
Hemodynamic assessment of pulmonary hypertension in mice: a model-based analysis of the disease mechanismM Umar Qureshi, Mitchel J Colebank, L Mihaela Paun, et al.
Neural Networks : the Official Journal of the International Neural Network Society|October 31, 2006
The micro-structure of attentionNeill R Taylor, Matthew Hartley, John G Taylor
Frontiers in Physiology|May 20, 2020
Analysis of Cardiac Amyloidosis Progression Using Model-Based MarkersWenguang Li, Alan Lazarus, Hao Gao, et al.
Arxiv|February 5, 2024
Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical imagesMichelle A Bartololo, Alyssa M Taylor-LaPole, Darsh Gandhi, et al.
The Journal of Physiology|July 30, 2024
Computational framework for the generation of one-dimensional vascular models accounting for uncertainty in networks extracted from medical imagesMichelle A Bartolo, Alyssa M Taylor-LaPole, Darsh Gandhi, et al.
IEEE Transactions on Neural Networks|November 30, 2004
A general framework for learning rules from dataBruno Apolloni, Anna Esposito, Dario Malchiodi, et al.
Neural Networks : the Official Journal of the International Neural Network Society|November 4, 2006
Attention as a controllerNienke J H Korsten, Nikos Fragopanagos, Matthew Hartley, et al.
Journal of Cognitive Neuroscience|July 27, 2007
Efficient attentional selection predicts distractor devaluation: event-related potential evidence for a direct link between attention and emotionMonika Kiss, Brian A Goolsby, Jane E Raymond, et al.
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