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Assessment and Improvement of the Pattern Recognition Performance of Memdiode-Based Cross-Point Arrays with Randomly Distributed Stuck-at-Faults
(MDPI, 2021-10-06)
In this work, the effect of randomly distributed stuck-at faults (SAFs) in memristive crosspoint array (CPA)-based single and multi-layer perceptrons (SLPs and MLPs, respectively) intended for pattern recognition tasks is ...
Structural analysis of relevance propagation models
(Elsevier Science, 2021-12)
Relevance relations constitute the core of information retrieval. Topical ontologies, such as collaborative webpage classification projects, can provide a basis for identifying and analyzing such relations. New meaningful ...
Deep gaussian processes and infinite neural networks for the analysis of EEG signals in Alzheimer's diseases
(Centro de Investigaciones en Matemática Pura y Aplicada (CIMPA) y Escuela de Matemática, San José, Costa Rica., 2022)
A flexible and practical approach for real-time weed emergence prediction based on Artificial Neural Networks
(Academic Press Inc Elsevier Science, 2018-06)
Most popular emergence prediction models require species-specific population-based parameters to modulate thermal/hydrothermal accumulation. Such parameters are frequently unknown and difficult to estimate. Moreover, such ...
A bayesian networks structure learning: A scoring and search based approachAprendizaje estructural de redes bayesianas: Un enfoque basado en puntaje y búsqueda
(Universidad Militar Nueva Granada, 2011)
Parameter estimation to study the immediate impact of aortic cross-clamping using reduced order models
(Wiley Blackwell Publishing, Inc, 2019-10-16)
Aortic cross-clamping is a common strategy during vascular surgery, however, its instantaneous impact on hemodynamics is unknown. We, therefore, developed two numerical models to estimate the immediate impact of aortic ...