Francesco Corona

41 papers B 7C 1Misc 1Journal 25Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A system level approach to generalised feedback Nash equilibrium seeking in partially-observed games.
CoRR
Otacílio B. L. Neto, Michela Mulas, Francesco Corona
2025 J jnl
Predictive control of wastewater treatment plants as energy-autonomous water resource recovery facilities.
CoRR
Otacílio B. L. Neto, Michela Mulas, Iiro Harjunkoski, Francesco Corona
2025 J jnl
SLS-BRD: A System-Level Approach to Seeking Generalized Feedback Nash Equilibria.
IEEE Trans. Autom. Control.
Otacílio B. L. Neto, Michela Mulas, Francesco Corona
2024 J jnl
A model-based framework for controlling activated sludge plants.
CoRR
Otacílio B. L. Neto, Michela Mulas, Francesco Corona
2024 J jnl
SLS-BRD: A system-level approach to seeking generalised feedback Nash equilibria.
CoRR
Otacílio B. L. Neto, Michela Mulas, Francesco Corona
2023 J jnl
Likelihood Maximization of Lifetime Distributions With Bathtub-Shaped Failure Rate.
IEEE Trans. Reliab.
Teemu J. Ikonen, Francesco Corona, Iiro Harjunkoski
2023 J jnl
Multi-Source Domain Adaptation for Cross-Domain Fault Diagnosis of Chemical Processes.
CoRR
Eduardo Fernandes Montesuma, Michela Mulas, Fred Maurice Ngolè Mboula, Francesco Corona, Antoine Souloumiac
2021 C conf
A Grid-Structured Model of Tubular Reactors.
INDIN
Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin
2021 J jnl
A Grid-Structured Model of Tubular Reactors.
CoRR
Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin
2020 — conf
On the controllability of activated sludge plants.
ECC
Otacílio B. L. Neto, Michela Mulas, Francesco Corona
2019 J jnl
Gaussian kernels for incomplete data.
Appl. Soft Comput.
Diego P. P. Mesquita, João P. P. Gomes, Francesco Corona, Amauri Holanda de Souza Júnior, Juvêncio S. Nobre
2019 — conf
Probabilistic Multilateration: Model and Inference.
BRACIS
Daniel Jean Rodrigues Vasconcelos, Amauri Holanda de Souza Júnior, Francesco Corona
2018 J jnl
Stochastic discriminant analysis for linear supervised dimension reduction.
Neurocomputing
Mika Juuti, Francesco Corona, Juha Karhunen
2016 J jnl
Adaptive data-derived anomaly detection in the activated sludge process of a large-scale wastewater treatment plant.
Eng. Appl. Artif. Intell.
Henri Haimi, Michela Mulas, Francesco Corona, Stefano Marsili-Libelli, Paula Lindell, Mari Heinonen, Riku Vahala
2015 — conf
A Cost Sensitive Minimal Learning Machine for Pattern Classification.
ICONIP (1)
João Paulo Pordeus Gomes, Amauri H. Souza Jr., Francesco Corona, Ajalmar R. da Rocha Neto
2015 J jnl
Minimal Learning Machine: A novel supervised distance-based approach for regression and classification.
Neurocomputing
Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme De A. Barreto, Yoan Miché, Amaury Lendasse
2015 J jnl
Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map.
Neurocomputing
Amauri H. Souza Júnior, Guilherme De A. Barreto, Francesco Corona
2015 J jnl
Shall we use hardware sensor measurements or soft-sensor estimates? Case study in a full-scale WWTP.
Environ. Model. Softw.
Henri Haimi, Francesco Corona, Michela Mulas, Laura Sundell, Mari Heinonen, Riku Vahala
2015 B conf
Stochastic Discriminant Analysis.
IJCNN
Mika Juuti, Francesco Corona, Juha Karhunen
2014 J jnl
Extreme learning machines for soybean classification in remote sensing hyperspectral images.
Neurocomputing
Ramón Moreno, Francesco Corona, Amaury Lendasse, Manuel Graña, Lênio S. Galvão
2014 B conf
The delta test: The 1-NN estimator as a feature selection criterion.
IJCNN
Emil Eirola, Amaury Lendasse, Francesco Corona, Michel Verleysen
2013 J jnl
Data-derived soft-sensors for biological wastewater treatment plants: An overview.
Environ. Model. Softw.
Henri Haimi, Michela Mulas, Francesco Corona, Riku Vahala
2013 — conf
Extreme Learning Machine: A Robust Modeling Technique? Yes!
IWANN (1)
Amaury Lendasse, Anton Akusok, Olli Simula, Francesco Corona, Mark van Heeswijk, Emil Eirola, Yoan Miche
2013 J jnl
Extreme Learning Machines.
IEEE Intell. Syst.
Erik Cambria, Guang-Bin Huang, Liyanaarachchi Lekamalage Chamara Kasun, Hongming Zhou, Chi-Man Vong, Jiarun Lin, Jianping Yin, Zhiping Cai, Qiang Liu, Kuan Li, Victor C. M. Leung, Liang Feng, Yew-Soon Ong, Meng-Hiot Lim, Anton Akusok, Amaury Lendasse, Francesco Corona, Rui Nian, Yoan Miche, Paolo Gastaldo, Rodolfo Zunino, Sergio Decherchi, Xuefeng Yang, Kezhi Mao, Beom-Seok Oh, Je-Hyoung Jeon, Kar-Ann Toh, Andrew Beng Jin Teoh, Jaihie Kim, Hanchao Yu, Yiqiang Chen, Junfa Liu
2013 — conf
Minimal Learning Machine: A New Distance-Based Method for Supervised Learning.
IWANN (1)
Amauri Holanda de Souza Júnior, Francesco Corona, Yoan Miche, Amaury Lendasse, Guilherme A. Barreto, Olli Simula
2013 J jnl
Supervised Distance Preserving Projections.
Neural Process. Lett.
Zhanxing Zhu, Timo Similä, Francesco Corona
2012 — conf
Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps.
WSOM
Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme A. Barreto
2011 B conf
Locating Anomalies Using Bayesian Factorizations and Masks.
ESANN
Li Yao, Amaury Lendasse, Francesco Corona
2011 J jnl
On the Curse of Dimensionality in Supervised Learning of Smooth Regression Functions.
Neural Process. Lett.
Elia Liitiäinen, Francesco Corona, Amaury Lendasse
2010 J jnl
A boundary corrected expansion of the moments of nearest neighbor distributions.
Random Struct. Algorithms
Elia Liitiäinen, Amaury Lendasse, Francesco Corona
2010 J jnl
On the topological modeling and analysis of industrial process data using the SOM.
Comput. Chem. Eng.
Francesco Corona, Michela Mulas, Roberto Baratti, José A. Romagnoli
2010 J jnl
Residual variance estimation using a nearest neighbor statistic.
J. Multivar. Anal.
Elia Liitiäinen, Francesco Corona, Amaury Lendasse
2009 J jnl
A SOM-based approach to estimating product properties from spectroscopic measurements.
Neurocomputing
Francesco Corona, Elia Liitiäinen, Amaury Lendasse, Lorenzo Sassu, Stefano Melis, Roberto Baratti
2009 J jnl
Residual variance estimation in machine learning.
Neurocomputing
Elia Liitiäinen, Michel Verleysen, Francesco Corona, Amaury Lendasse
2009 — conf
Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database.
WSOM
Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, Eric Séverin, Amaury Lendasse
2008 B conf
Linear Projection based on Noise Variance Estimation - Application to Spectral Data.
ESANN
Amaury Lendasse, Francesco Corona
2008 J jnl
On Nonparametric Residual Variance Estimation.
Neural Process. Lett.
Elia Liitiäinen, Francesco Corona, Amaury Lendasse
2008 B conf
Using the Delta Test for Variable Selection.
ESANN
Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen
2007 B conf
Nearest Neighbor Distributions and Noise Variance Estimation.
ESANN
Elia Liitiäinen, Francesco Corona, Amaury Lendasse
2007 Misc conf
Non-parametric Residual Variance Estimation in Supervised Learning.
IWANN
Elia Liitiäinen, Amaury Lendasse, Francesco Corona
2006 B conf
Determination of the Mahalanobis matrix using nonparametric noise estimations.
ESANN
Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen