Pasquale Gaudio

  • University of Rome Tor Vergata, Rome, Italy

According to our database1, Pasquale Gaudio authored at least 16 papers between 2015 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.



In proceedings 
PhD thesis 


Online presence:



Adaptive Quasi-Unsupervised Detection of Smoke Plume by LiDAR.
Sensors, 2020

Enhancing Radiation Detection by Drones through Numerical Fluid Dynamics Simulations.
Sensors, 2020

Upgrading Model Selection Criteria with Goodness of Fit Tests for Practical Applications.
Entropy, 2020

On the Potential of Time Delay Neural Networks to Detect Indirect Coupling between Time Series.
Entropy, 2020

Quantifying Total Influence between Variables with Information Theoretic and Machine Learning Techniques.
Entropy, 2020

On the Use of Entropy to Improve Model Selection Criteria.
Entropy, 2019

Geodesic Distance on Gaussian Manifolds to Reduce the Statistical Errors in the Investigation of Complex Systems.
Complex., 2019

On the Use of Transfer Entropy to Investigate the Time Horizon of Causal Influences between Signals.
Entropy, 2018

Biological Dual-Use Research and Synthetic Biology of Yeast.
Sci. Eng. Ethics, 2017

Non-invasive assessment of dust concentration and relative dustiness in a dust cloud mobilized by a controlled air inlet inside STARDUST-U facility.
Reliab. Eng. Syst. Saf., 2017

Deriving Realistic Mathematical Models from Support Vector Machines for Scientific Applications.
Proceedings of the 9th International Joint Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management, 2017

Imaging to study dust re-suspension phenomena in case of loss of vacuum accidents inside the pharmaceutical industries.
Proceedings of the Global Internet of Things Summit, 2017

Complex networks for the analysis of the synchronization of time series relevant for plasma fusion diagnostics.
Proceedings of the 2017 European Conference on Circuit Theory and Design, 2017

A Metric to Improve the Robustness of Conformal Predictors in the Presence of Error Bars.
Proceedings of the Conformal and Probabilistic Prediction with Applications, 2016

How to Handle Error Bars in Symbolic Regression for Data Mining in Scientific Applications.
Proceedings of the Statistical Learning and Data Sciences - Third International Symposium, 2015

Modelling and simulation for Major Incidents.
Proceedings of the 9th International Conference on Pervasive Computing Technologies for Healthcare, 2015