Francesco Corona

According to our database1, Francesco Corona authored at least 31 papers between 2006 and 2019.

Collaborative distances:



In proceedings 
PhD thesis 





Gaussian kernels for incomplete data.
Appl. Soft Comput., 2019

Probabilistic Multilateration: Model and Inference.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

Stochastic discriminant analysis for linear supervised dimension reduction.
Neurocomputing, 2018

Adaptive data-derived anomaly detection in the activated sludge process of a large-scale wastewater treatment plant.
Eng. Appl. of AI, 2016

Minimal Learning Machine: A novel supervised distance-based approach for regression and classification.
Neurocomputing, 2015

Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map.
Neurocomputing, 2015

Shall we use hardware sensor measurements or soft-sensor estimates? Case study in a full-scale WWTP.
Environmental Modelling and Software, 2015

Stochastic Discriminant Analysis.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Cost Sensitive Minimal Learning Machine for Pattern Classification.
Proceedings of the Neural Information Processing - 22nd International Conference, 2015

Extreme learning machines for soybean classification in remote sensing hyperspectral images.
Neurocomputing, 2014

The delta test: The 1-NN estimator as a feature selection criterion.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Supervised Distance Preserving Projections.
Neural Processing Letters, 2013

Extreme Learning Machines.
IEEE Intelligent Systems, 2013

Data-derived soft-sensors for biological wastewater treatment plants: An overview.
Environmental Modelling and Software, 2013

Extreme Learning Machine: A Robust Modeling Technique? Yes!
Proceedings of the Advances in Computational Intelligence, 2013

Minimal Learning Machine: A New Distance-Based Method for Supervised Learning.
Proceedings of the Advances in Computational Intelligence, 2013

Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps.
Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

On the Curse of Dimensionality in Supervised Learning of Smooth Regression Functions.
Neural Processing Letters, 2011

Locating Anomalies Using Bayesian Factorizations and Masks.
Proceedings of the ESANN 2011, 2011

A boundary corrected expansion of the moments of nearest neighbor distributions.
Random Struct. Algorithms, 2010

Residual variance estimation using a nearest neighbor statistic.
J. Multivariate Analysis, 2010

On the topological modeling and analysis of industrial process data using the SOM.
Computers & Chemical Engineering, 2010

Residual variance estimation in machine learning.
Neurocomputing, 2009

A SOM-based approach to estimating product properties from spectroscopic measurements.
Neurocomputing, 2009

Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database.
Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

On Nonparametric Residual Variance Estimation.
Neural Processing Letters, 2008

Linear Projection based on Noise Variance Estimation - Application to Spectral Data.
Proceedings of the ESANN 2008, 2008

Using the Delta Test for Variable Selection.
Proceedings of the ESANN 2008, 2008

Non-parametric Residual Variance Estimation in Supervised Learning.
Proceedings of the Computational and Ambient Intelligence, 2007

Nearest Neighbor Distributions and Noise Variance Estimation.
Proceedings of the ESANN 2007, 2007

Determination of the Mahalanobis matrix using nonparametric noise estimations.
Proceedings of the ESANN 2006, 2006