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An agent-based model to assess large-scale COVID-19 vaccination campaigns for the Italian territory: The case study of Lombardy region
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Experimental fault detection of input gripping pliers in bottling plants
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Model-based fault diagnosis of sliding gates electro-mechanical actuators transmission components with motor-side measurements
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Kernel-based system identification with manifold regularization: A Bayesian perspective
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A kernel-based control approach for multi-period assets allocation based on lower partial moments
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Visualizing Classification Results: Confusion Star and Confusion GearAuthors: Amalia Luque\(^1\), Mirko Mazzoleni\(^2\), Alejandro Carrasco\(^3\) and Antonio Ferramosca\(^2\)\(^1\) Departamento de Ingeniería del Diseño, Escuela Politécnica Superior, Universidad de S...
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Visualizing Classification Results: Confusion Star and Confusion Gear
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Nonparametric continuous-time identification of linear systems: theory, implementation and experimental results
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A comparison of envelope and statistical analyses for bearing diagnosis in hot steel rolling mill lines
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A SIAT3HE model of the COVID-19 pandemic in Bergamo, Italy
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Inertial load classification of low-cost electro-mechanical systems under dataset shift with fast end of line testing
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Piecewise nonlinear regression with data augmentation
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Modeling and simulation of bimetallic strips in industrial circuit breakers
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Electro-Mechanical Actuators for the More Electric Aircraft
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Kernel-based identification of asymptotically stable continuous-time linear dynamical systems
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Mechatronics applications of condition monitoring using a statistical change detection method
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KBERG: A MatLab toolbox for nonlinear kernel-based regularization and system identification
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Identification of dynamic textures using Dynamic Mode Decomposition
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A Note on the Numerical Solutions of Kernel-Based Learning Problems
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Data on the first endurance activity of a Brushless DC motor for aerospace applications
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A comparison of manifold regularization approaches for kernel-based system identification
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Experimental Development of a Health Monitoring Method for Electro-Mechanical Actuators of Flight Control Primary Surfaces in More Electric Aircrafts
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Nonlinear system identification via data augmentation
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Classification of light charged particles via learning-based system identification
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Condition monitoring of electro-mechanical actuators for aerospace using batch change detection algorithms
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Identification of nonlinear dynamical system with synthetic data: a preliminary investigation
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Condition assessment of electro-mechanical actuators for aerospace using relative density-ratio estimation
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Development and Experimental Testing of a Health Monitoring System of Electro-Mechanical Actuators for Small Airplanes
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Semi-supervised learning of dynamical systems: a preliminary study
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Kernel manifold regression for the coupled electric drives dataset
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Unsupervised Learning of Fundamental Emotional States via Word Embeddings
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Control-oriented modeling of SKU-level demand in retail food market
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A comparison of data-driven fault detection methods with application to aerospace electro-mechanical actuators
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Fault detection in airliner electro-mechanical actuators via hybrid particle filtering
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Development of a reliable electro-mechanical actuator for primary control surfaces in small aircrafts
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Classification algorithms analysis for brain-computer interface in drug craving therapy
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Human perception of probabilityBack in 1964, Sherman Kent tried to address the problem of misleading odds expressions in National Intelligence Estimates (NIE).Recognizing communication problems caused by imprecise probablistic s...
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The three ways of statistical inferenceI recently skipped through the course Improving your statistical inferences, held on the Coursera MOOC platform. The lessons are taught by Daniel Lakens, associate professor at the department of Hu...
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A Games of Tufte - Part IIThe first part of the exploratory data analysis of the Games of Thrones dataset hosted at Kaggle dealed with data understanding and cleaning. This second post digs further into visualization, unvei...
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A Games of Tufte - Part IThis report concerns the first part of an exploratory data analysis based on the Games of Thrones dataset hosted on Kaggle. The aim of this work is to familiarize with the data for subsequent analy...
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Modeling and identification of an Electro-Hydraulic Actuator
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A Comparison of Classification Algorithms for Brain Computer Interface in Drug Craving Treatment
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Fault Detection via modified Principal Direction Divisive Partitioning and application to aerospace electro-mechanical actuators