Publications related to Predictive modelling

Predictive models for response to non-invasive brain stimulation in stroke: A critical review of opportunities and pitfalls

Friedhelm Christoph Hummel, Maximilian Jonas Wessel, Philip Egger

Background: Noninvasive brain stimulation has been successfully applied to improve stroke impairments in different behavioral domains. Yet, clinical translation is limited by heterogenous comes within and across studies. It has been proposed to develop and ...

ELSEVIER SCIENCE INC2021

A mathematical dashboard for the analysis of Italian COVID-19 epidemic data

Alfio Quarteroni, Luca Dede', Nicola Parolini

An analysis of the COVID-19 epidemic is proposed on the basis of the epiMOX dashboard (publicly accessible at ) that deals with data of the epidemic trends and outbreaks in Italy from late February 2020. Our analysis provides an immediate appreciation of t ...

WILEY2021

Optimal Adversarial Policies in the Multiplicative Learning System With a Malicious Expert

Negar Kiyavash, Seyed Jalal Etesami

We consider a learning system based on the conventional multiplicative weight ( MW) rule that combines experts' advice to predict a sequence of true outcomes. It is assumed that one of the experts is malicious and aims to impose the maximum loss on the sys ...

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC2021

Human mortality at extreme age

Anthony Christopher Davison

We use a combination of extreme value statistics, survival analysis and computer-intensive methods to analyse the mortality of Italian and French semi-supercentenarians. After accounting for the effects of the sampling frame, extreme-value modelling leads ...

ROYAL SOC2021

Predictive user-based relocation through incentives in one-way car-sharing systems

Nikolaos Geroliminis, Patrick Stefan Adriaan Stokkink

Car-sharing systems are an attractive alternative to private vehicles due to their benefits in terms of mobility and sustainability. However, the distribution of vehicles throughout the network in one-way systems is disturbed due to asymmetry and stochasti ...

2021

Simulating the ghost: quantum dynamics of the solvated electron

Michele Ceriotti, Jinggang Lan, Venkat Kapil, Piero Gasparotto

The nature of the bulk hydrated electron has been a challenge for both experiment and theory due to its short lifetime and high reactivity, and the need for a high-level of electronic structure theory to achieve predictive accuracy. The lack of a classical ...

2021

Promoting Connectivity of Network-Like Structures by Enforcing Region Separation

Pascal Fua, Doruk Oner, Mateusz Kozinski, Leonardo Citraro

We propose a novel, connectivity-oriented loss function for training deep convolutional networks to reconstruct network-like structures, like roads and irrigation canals, from aerial images. The main idea behind our loss is to express the connectivity of r ...

2021

Experimental investigation and analytical modelling of active yaw control for wind farm power optimization

Fernando Porté Agel, Haohua Zong

In this study, the physics and effectiveness of active yaw control under various wind conditions are investigated systematically, based on wind tunnel experiments and a new analytical wind farm model. The power and wake velocity measurements of a three-row ...

PERGAMON-ELSEVIER SCIENCE LTD2021

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Predictive modelling

Predictive models for response to non-invasive brain stimulation in stroke: A critical review of opportunities and pitfalls

A mathematical dashboard for the analysis of Italian COVID-19 epidemic data

Optimal Adversarial Policies in the Multiplicative Learning System With a Malicious Expert

Human mortality at extreme age

Predicting involuntary hospitalization in psychiatry: A machine learning investigation

Predictive user-based relocation through incentives in one-way car-sharing systems

Simulating the ghost: quantum dynamics of the solvated electron

Promoting Connectivity of Network-Like Structures by Enforcing Region Separation

Cyber-Physical LPG Debutanizer Distillation Columns: Machine-Learning-Based Soft Sensors for Product Quality Monitoring

Experimental investigation and analytical modelling of active yaw control for wind farm power optimization

Graph Chatbot

Chat with Graph Search

Predicting involuntary hospitalization in psychiatry: A machine learning investigation

Predictive models for response to non-invasive brain stimulation in stroke: A critical review of opportunities and pitfalls

Optimal Adversarial Policies in the Multiplicative Learning System With a Malicious Expert

Human mortality at extreme age

Predictive user-based relocation through incentives in one-way car-sharing systems

Cyber-Physical LPG Debutanizer Distillation Columns: Machine-Learning-Based Soft Sensors for Product Quality Monitoring

Experimental investigation and analytical modelling of active yaw control for wind farm power optimization

Promoting Connectivity of Network-Like Structures by Enforcing Region Separation

A mathematical dashboard for the analysis of Italian COVID-19 epidemic data

Simulating the ghost: quantum dynamics of the solvated electron