Michela Gelfusa

发表

Advanced signal processing based on support vector regression for lidar applications

J. Vega, Michela Gelfusa, A. Murari, 2015, SPIE Remote Sensing.

Preliminary results of a lidar-dial integrated system for the automatic detection of atmospheric pollutants

Maria Richetta, Michela Gelfusa, Pasqualino Gaudio, 2012, Remote Sensing.

On the Use of Transfer Entropy to Investigate the Time Horizon of Causal Influences between Signals

Michela Gelfusa, Emmanuele Peluso, Andrea Murari, 2018, Entropy.

A Novel Facility to Investigate Dust Mobilization in Confined Environments with Applications to the Security of the Pharmaceutical Industry

Andrea Malizia, Maria Richetta, A. Murari, 2016 .

A statistical methodology to derive the scaling law for the H-mode power threshold using a large multi-machine database

Michela Gelfusa, Andrea Murari, Pasqualino Gaudio, 2012 .

A review of techniques for the detection of biological warfare agents

Andrea Malizia, D Di Giovanni, Carlo Bellecci, 2015 .

Image-Based Methods to Investigate Synchronization between Time Series Relevant for Plasma Fusion Diagnostics

Michela Gelfusa, Ernesto Lerche, J. E. T. Contributors, 2020, Entropy.

How to Handle Error Bars in Symbolic Regression for Data Mining in Scientific Applications

Michela Gelfusa, Emmanuele Peluso, Pasqualino Gaudio, 2015, SLDS.

Stacking of predictors for the automatic classification of disruption types to optimize the control logic

Riccardo Rossi, Michela Gelfusa, M. Lungaroni, 2020 .

Detection of Causal Relations in Time Series Affected by Noise in Tokamaks Using Geodesic Distance on Gaussian Manifolds

Michela Gelfusa, Emmanuele Peluso, Andrea Murari, 2017, Entropy.

Free License Codes to Determine Radiological Contamination : 2 case studies

P De Angelis, F Conetta, D Di Giovanni, 2013 .

Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems

Michela Gelfusa, M. Lungaroni, Emmanuele Peluso, 2019, Complex..

On the transfer of adaptive predictors between different devices for both mitigation and prevention of disruptions

Pasqualino Gaudio, Michela Gelfusa, M. Lungaroni, 2020, Nuclear Fusion.

Testing the consistency of multimachine databases for physical studies of regression

Michela Gelfusa, M. Lungaroni, M. Gelfusa, 2019, Nuclear Fusion.

A Metric to Improve the Robustness of Conformal Predictors in the Presence of Error Bars

Michela Gelfusa, Emmanuele Peluso, Pasqualino Gaudio, 2016, COPA.

Deriving Realistic Mathematical Models from Support Vector Machines for Scientific Applications

Michela Gelfusa, Emmanuele Peluso, Pasqualino Gaudio, 2017, KDIR.

Development of a rapid method for the automatic classification of biological agents' fluorescence spectral signatures

Michela Gelfusa, Pasqualino Gaudio, M Carestia, 2015 .

Upgrading Model Selection Criteria with Goodness of Fit Tests for Practical Applications

Riccardo Rossi, Michela Gelfusa, Andrea Murari, 2020, Entropy.

Clustering based on the geodesic distance on Gaussian manifolds for the automatic classification of disruptions

Michela Gelfusa, Geert Verdoolaege, Andrea Murari, 2013 .

Improving Entropy Estimates of Complex Network Topology for the Characterization of Coupling in Dynamical Systems

Michela Gelfusa, Andrea Murari, Teddy Craciunescu, 2018, Entropy.

A new class of indicators for the model selection of scaling laws in nuclear fusion

Michela Gelfusa, Jesús Vega, Andrea Murari, 2013 .

Lidar and Dial application for detection and identification: a proposal to improve safety and security

D Di Giovanni, Carlo Bellecci, Michela Gelfusa, 2017 .

A New Approach to Bolometric Tomography in Tokamaks

Michela Gelfusa, Emmanuele Peluso, Andrea Murari, 2018, 2018 IEEE International Symposium on Circuits and Systems (ISCAS).

Quantifying Total Influence between Variables with Information Theoretic and Machine Learning Techniques

Michela Gelfusa, Riccardo Rossi, Andrea Murari, 2019, Entropy.

On determining the prediction limits of mathematical models for time series

Michela Gelfusa, M. Lungaroni, Emmanuele Peluso, 2016 .

Multispectral analysis of biological agents to implement a quick tool for stand-off biological detection

Michela Gelfusa, M. Lungaroni, Pasqualino Gaudio, 2015, SPIE Security + Defence.

Overview of image processing tools to extract physical information from JET videos

Jet Efda Contributors, Michela Gelfusa, Andrea Murari, 2013 .

Causality Detection Methods Applied to the Investigation of Malaria Epidemics

Michela Gelfusa, Andrea Murari, Teddy Craciunescu, 2019, Entropy.

Quantifying Total Influence between Variables with Information Theoretic and Machine Learning Techniques

Riccardo Rossi, Michela Gelfusa, Andrea Murari, 2020, Entropy.

Design and development of a compact lidar/DIAL system for aerial surveillance of urban areas

Maria Richetta, Jesús Vega, Michela Gelfusa, 2013, Remote Sensing.

Complex networks for the analysis of the synchronization of time series relevant for plasma fusion diagnostics

Michela Gelfusa, Emmanuele Peluso, Pasqualino Gaudio, 2017, 2017 European Conference on Circuit Theory and Design (ECCTD).

Adaptive Quasi-Unsupervised Detection of Smoke Plume by LiDAR

Michela Gelfusa, Andrea Malizia, Pasqualino Gaudio, 2020, Sensors.

On the potential of ruled-based machine learning for disruption prediction on JET

J. Vega, Gonzalo Farias, Michela Gelfusa, 2018 .

Extensive statistical analysis of ELMs on JET with a carbon wall

Michela Gelfusa, Fabio Pisano, Alessandra Fanni, 2014 .

Plasma‐material Interactions Problems and Dust Creation and Re‐suspension in Case of Accidents in Nuclear Fusion Plants: A New Challenge for Reactors like ITER and DEMO

Andrea Malizia, A. Murari, Michela Gelfusa, 2016 .

How to assess the efficiency of synchronization experiments in tokamaks

Michela Gelfusa, M. Lungaroni, Emmanuele Peluso, 2016 .