Francesco Corona

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 11

Top Topics

Wastewater Treatment

Discriminant Analysis

Top Venues

Publications

Otacílio B. L. Neto, Michela Mulas, Francesco Corona
A model-based framework for controlling activated sludge plants. CoRR (2024)
Otacílio B. L. Neto, Michela Mulas, Francesco Corona
SLS-BRD: A system-level approach to seeking generalised feedback Nash equilibria. CoRR (2024)
Teemu J. Ikonen, Francesco Corona, Iiro Harjunkoski
Likelihood Maximization of Lifetime Distributions With Bathtub-Shaped Failure Rate. IEEE Trans. Reliab. 72 (2) (2023)
Eduardo Fernandes Montesuma, Michela Mulas, Fred Maurice Ngolè Mboula, Francesco Corona, Antoine Souloumiac
Multi-Source Domain Adaptation for Cross-Domain Fault Diagnosis of Chemical Processes. CoRR (2023)
Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin
A Grid-Structured Model of Tubular Reactors. INDIN (2021)
Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin
A Grid-Structured Model of Tubular Reactors. CoRR (2021)
Otacílio B. L. Neto, Michela Mulas, Francesco Corona
On the controllability of activated sludge plants. ECC (2020)
Diego P. P. Mesquita, João P. P. Gomes, Francesco Corona, Amauri Holanda de Souza Júnior, Juvêncio S. Nobre
Gaussian kernels for incomplete data. Appl. Soft Comput. 77 (2019)
Daniel Jean Rodrigues Vasconcelos, Amauri Holanda de Souza Júnior, Francesco Corona
Probabilistic Multilateration: Model and Inference. BRACIS (2019)
Mika Juuti, Francesco Corona, Juha Karhunen
Stochastic discriminant analysis for linear supervised dimension reduction. Neurocomputing 291 (2018)
Henri Haimi, Michela Mulas, Francesco Corona, Stefano Marsili-Libelli, Paula Lindell, Mari Heinonen, Riku Vahala
Adaptive data-derived anomaly detection in the activated sludge process of a large-scale wastewater treatment plant. Eng. Appl. Artif. Intell. 52 (2016)
João Paulo Pordeus Gomes, Amauri H. Souza Jr., Francesco Corona, Ajalmar R. da Rocha Neto
A Cost Sensitive Minimal Learning Machine for Pattern Classification. ICONIP (1) (2015)
Amauri H. Souza Júnior, Guilherme De A. Barreto, Francesco Corona
Regional models: A new approach for nonlinear system identification via clustering of the self-organizing map. Neurocomputing 147 (2015)
Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme De A. Barreto, Yoan Miché, Amaury Lendasse
Minimal Learning Machine: A novel supervised distance-based approach for regression and classification. Neurocomputing 164 (2015)
Henri Haimi, Francesco Corona, Michela Mulas, Laura Sundell, Mari Heinonen, Riku Vahala
Shall we use hardware sensor measurements or soft-sensor estimates? Case study in a full-scale WWTP. Environ. Model. Softw. 72 (2015)
Mika Juuti, Francesco Corona, Juha Karhunen
Stochastic Discriminant Analysis. IJCNN (2015)
Ramón Moreno, Francesco Corona, Amaury Lendasse, Manuel Graña, Lênio S. Galvão
Extreme learning machines for soybean classification in remote sensing hyperspectral images. Neurocomputing 128 (2014)
Emil Eirola, Amaury Lendasse, Francesco Corona, Michel Verleysen
The delta test: The 1-NN estimator as a feature selection criterion. IJCNN (2014)
Henri Haimi, Michela Mulas, Francesco Corona, Riku Vahala
Data-derived soft-sensors for biological wastewater treatment plants: An overview. Environ. Model. Softw. 47 (2013)
Amauri Holanda de Souza Júnior, Francesco Corona, Yoan Miche, Amaury Lendasse, Guilherme A. Barreto, Olli Simula
Minimal Learning Machine: A New Distance-Based Method for Supervised Learning. IWANN (1) (2013)
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
Extreme Learning Machines. IEEE Intell. Syst. 28 (6) (2013)
Amaury Lendasse, Anton Akusok, Olli Simula, Francesco Corona, Mark van Heeswijk, Emil Eirola, Yoan Miche
Extreme Learning Machine: A Robust Modeling Technique? Yes! IWANN (1) (2013)
Zhanxing Zhu, Timo Similä, Francesco Corona
Supervised Distance Preserving Projections. Neural Process. Lett. 38 (3) (2013)
Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme A. Barreto
Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps. WSOM (2012)
Li Yao, Amaury Lendasse, Francesco Corona
Locating Anomalies Using Bayesian Factorizations and Masks. ESANN (2011)
Elia Liitiäinen, Francesco Corona, Amaury Lendasse
On the Curse of Dimensionality in Supervised Learning of Smooth Regression Functions. Neural Process. Lett. 34 (2) (2011)
Elia Liitiäinen, Francesco Corona, Amaury Lendasse
Residual variance estimation using a nearest neighbor statistic. J. Multivar. Anal. 101 (4) (2010)
Francesco Corona, Michela Mulas, Roberto Baratti, José A. Romagnoli
On the topological modeling and analysis of industrial process data using the SOM. Comput. Chem. Eng. 34 (12) (2010)
Elia Liitiäinen, Amaury Lendasse, Francesco Corona
A boundary corrected expansion of the moments of nearest neighbor distributions. Random Struct. Algorithms 37 (2) (2010)
Antti Sorjamaa, Francesco Corona, Yoan Miche, Paul Merlin, Bertrand Maillet, Eric Séverin, Amaury Lendasse
Sparse Linear Combination of SOMs for Data Imputation: Application to Financial Database. WSOM (2009)
Elia Liitiäinen, Michel Verleysen, Francesco Corona, Amaury Lendasse
Residual variance estimation in machine learning. Neurocomputing 72 (16-18) (2009)
Francesco Corona, Elia Liitiäinen, Amaury Lendasse, Lorenzo Sassu, Stefano Melis, Roberto Baratti
A SOM-based approach to estimating product properties from spectroscopic measurements. Neurocomputing 73 (1-3) (2009)
Elia Liitiäinen, Francesco Corona, Amaury Lendasse
On Nonparametric Residual Variance Estimation. Neural Process. Lett. 28 (3) (2008)
Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen
Using the Delta Test for Variable Selection. ESANN (2008)
Amaury Lendasse, Francesco Corona
Linear Projection based on Noise Variance Estimation - Application to Spectral Data. ESANN (2008)
Elia Liitiäinen, Francesco Corona, Amaury Lendasse
Nearest Neighbor Distributions and Noise Variance Estimation. ESANN (2007)
Elia Liitiäinen, Amaury Lendasse, Francesco Corona
Non-parametric Residual Variance Estimation in Supervised Learning. IWANN (2007)
Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen
Determination of the Mahalanobis matrix using nonparametric noise estimations. ESANN (2006)