Francesco Corona

CoRR, 2024

2023

Likelihood Maximization of Lifetime Distributions With Bathtub-Shaped Failure Rate.

[BibT_eX]

[DOI]

Teemu J. Ikonen

Eduardo Fernandes Montesuma

Iiro Harjunkoski

IEEE Trans. Reliab., 2023

Multi-Source Domain Adaptation for Cross-Domain Fault Diagnosis of Chemical Processes.

[BibT_eX]

[DOI]

Fred Maurice Ngolè Mboula

Antoine Souloumiac

CoRR, 2023

2021

A Grid-Structured Model of Tubular Reactors.

[BibT_eX]

[DOI]

Katsiaryna Haitsiukevich

Samuli Bergman

Cesar de Araujo Filho

Alexander Ilin

Proceedings of the 19th IEEE International Conference on Industrial Informatics, 2021

2020

On the controllability of activated sludge plants.

[BibT_eX]

[DOI]

Otacílio B. L. Neto

Proceedings of the 18th European Control Conference, 2020

2019

Gaussian kernels for incomplete data.

[BibT_eX]

[DOI]

Diego P. P. Mesquita

João P. P. Gomes

Daniel Jean Rodrigues Vasconcelos

Juvêncio S. Nobre

Appl. Soft Comput., 2019

Probabilistic Multilateration: Model and Inference.

[BibT_eX]

[DOI]

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Stochastic discriminant analysis for linear supervised dimension reduction.

[BibT_eX]

[DOI]

Mika Juuti

Juha Karhunen

Neurocomputing, 2018

2016

Adaptive data-derived anomaly detection in the activated sludge process of a large-scale wastewater treatment plant.

[BibT_eX]

[DOI]

Henri Haimi

Stefano Marsili-Libelli

Paula Lindell

Mari Heinonen

Riku Vahala

Eng. Appl. Artif. Intell., 2016

2015

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

[BibT_eX]

[DOI]

Guilherme De A. Barreto

Yoan Miché

Neurocomputing, 2015

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

[BibT_eX]

[DOI]

Amauri H. Souza Júnior

Guilherme De A. Barreto

Neurocomputing, 2015

Shall we use hardware sensor measurements or soft-sensor estimates? Case study in a full-scale WWTP.

[BibT_eX]

[DOI]

Environ. Model. Softw., 2015

Stochastic Discriminant Analysis.

[BibT_eX]

[DOI]

Mika Juuti

Juha Karhunen

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

A Cost Sensitive Minimal Learning Machine for Pattern Classification.

[BibT_eX]

[DOI]

João Paulo Pordeus Gomes

Amauri H. Souza Jr.

Ajalmar R. da Rocha Neto

Proceedings of the Neural Information Processing - 22nd International Conference, 2015

2014

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

[BibT_eX]

[DOI]

Neurocomputing, 2014

The delta test: The 1-NN estimator as a feature selection criterion.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

2013

Supervised Distance Preserving Projections.

[BibT_eX]

[DOI]

Zhanxing Zhu

Timo Similä

Neural Process. Lett., 2013

Extreme Learning Machines.

[BibT_eX]

[DOI]

IEEE Intell. Syst., 2013

Data-derived soft-sensors for biological wastewater treatment plants: An overview.

[BibT_eX]

[DOI]

Environ. Model. Softw., 2013

Extreme Learning Machine: A Robust Modeling Technique? Yes!

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2013

Minimal Learning Machine: A New Distance-Based Method for Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Computational Intelligence, 2013

2012

Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps.

[BibT_eX]

[DOI]

Guilherme A. Barreto

Proceedings of the Advances in Self-Organizing Maps - 9th International Workshop, 2012

2011

On the Curse of Dimensionality in Supervised Learning of Smooth Regression Functions.

[BibT_eX]

[DOI]

Neural Process. Lett., 2011

Locating Anomalies Using Bayesian Factorizations and Masks.

[BibT_eX]

[DOI]

Li Yao

Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011

2010

A boundary corrected expansion of the moments of nearest neighbor distributions.

[BibT_eX]

[DOI]

Random Struct. Algorithms, 2010

Residual variance estimation using a nearest neighbor statistic.

[BibT_eX]

[DOI]

J. Multivar. Anal., 2010

On the topological modeling and analysis of industrial process data using the SOM.

[BibT_eX]

[DOI]

Comput. Chem. Eng., 2010

2009

Residual variance estimation in machine learning.

[BibT_eX]

[DOI]

Neurocomputing, 2009

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

[BibT_eX]

[DOI]

Neurocomputing, 2009

Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database.

[BibT_eX]

[DOI]

Proceedings of the Advances in Self-Organizing Maps, 7th International Workshop, 2009

2008

On Nonparametric Residual Variance Estimation.

[BibT_eX]

[DOI]

Neural Process. Lett., 2008

Linear Projection based on Noise Variance Estimation - Application to Spectral Data.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

Using the Delta Test for Variable Selection.

[BibT_eX]

[DOI]

Proceedings of the 16th European Symposium on Artificial Neural Networks, 2008

2007

Non-parametric Residual Variance Estimation in Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Computational and Ambient Intelligence, 2007

Nearest Neighbor Distributions and Noise Variance Estimation.

[BibT_eX]

[DOI]