New Book on Nanoeletronic Coupled Problems Solutions

The EU-funded research project fp7-nanoCOPS (Nanoeletronic Coupled Problems Solutions, 2013-2016) published an overview of outcomes in October 2019. The book has been published by Springer

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Improving tax collection with big data analytics

Tax evasion is one of the major obstacles to increasing the competitiveness of an economy. It directly and negatively affects the conditions for business activities

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Bigmath Advanced Course 4: Large scale and distributed optimization

The goal of the training course, realized within the H2020 Marie Skłodowska-Curie project Big Data Challenges for Mathematics, Grant Agreement No 812912,  is to provide an

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The Experts Method for the prediction of big data streams of energy flow

We have developed a method, called Experts Method, to forecast the evolution of a multivariate set of time series, of big dimension, and with partially

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BIGMATH: Stochastic Geometric modelling and 3D image analysis for human face prostheses

My name is Filipa Valdeira, I am from Lisbon (Portugal) where I have completed an Integrated Master in Aerospace Engineering, with a specialization in Systems

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BIGMATH: Mathematical morphology for the prediction of face expression transition

My name is Rongjiao Ji, I am currently a first-year PhD student in the PhD school in Mathematical Sciences, Universita’ degli Studi di Milano (Italy),

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The new Data Science Research Center at University of Milan

We are happy to announce the birth of the Data Science Research Center, a new coordinated research center of Università degli Studi di Milano. The

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A mathematical model to simulate controlled drug release in last generation stents

A team of researchers of the Department of Mathematics of the Faculty of Sciences of the University of Coimbra, in collaboration with the Cardiology Department

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Two Research Technician positions at BCAM

Applications are invited for two research technician positions at BCAM, the Basque Center for Applied Mathematics. The selected candidates will work at BCAM’s Knowledge Transfer

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Modern Variable Selection

By Meadhbh O’Neill  We are in an era where valuable information and data are being collected continuously around us. High-dimensional data is a current “hot”

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