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2020 – today
- 2024
[i4]Otacílio B. L. Neto, Michela Mulas, Francesco Corona:
A model-based framework for controlling activated sludge plants. CoRR abs/2401.10619 (2024)- [i3]Otacílio B. L. Neto, Michela Mulas, Francesco Corona:
SLS-BRD: A system-level approach to seeking generalised feedback Nash equilibria. CoRR abs/2404.03809 (2024) - 2023
- [j18]Teemu J. Ikonen
, Francesco Corona, Iiro Harjunkoski:
Likelihood Maximization of Lifetime Distributions With Bathtub-Shaped Failure Rate. IEEE Trans. Reliab. 72(2): 759-773 (2023) - [i2]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 abs/2308.11247 (2023) - 2021
- [c16]Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin:
A Grid-Structured Model of Tubular Reactors. INDIN 2021: 1-6 - [i1]Katsiaryna Haitsiukevich, Samuli Bergman, Cesar de Araujo Filho, Francesco Corona, Alexander Ilin:
A Grid-Structured Model of Tubular Reactors. CoRR abs/2112.10765 (2021) - 2020
- [c15]Otacílio B. L. Neto, Michela Mulas, Francesco Corona:
On the controllability of activated sludge plants. ECC 2020: 581-586
2010 – 2019
- 2019
- [j17]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: 356-365 (2019) - [c14]Daniel Jean Rodrigues Vasconcelos, Amauri Holanda de Souza Júnior, Francesco Corona:
Probabilistic Multilateration: Model and Inference. BRACIS 2019: 675-680 - 2018
- [j16]Mika Juuti, Francesco Corona, Juha Karhunen:
Stochastic discriminant analysis for linear supervised dimension reduction. Neurocomputing 291: 136-150 (2018) - 2016
- [j15]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: 65-80 (2016) - 2015
- [j14]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: 215-229 (2015) - [j13]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: 31-46 (2015) - [j12]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: 34-44 (2015) - [c13]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: 557-564 - [c12]Mika Juuti, Francesco Corona, Juha Karhunen:
Stochastic Discriminant Analysis. IJCNN 2015: 1-8 - 2014
- [j11]Ramón Moreno, Francesco Corona, Amaury Lendasse, Manuel Graña, Lênio S. Galvão:
Extreme learning machines for soybean classification in remote sensing hyperspectral images. Neurocomputing 128: 207-216 (2014) - [c11]Emil Eirola, Amaury Lendasse, Francesco Corona, Michel Verleysen:
The delta test: The 1-NN estimator as a feature selection criterion. IJCNN 2014: 4214-4222 - 2013
- [j10]Henri Haimi, Michela Mulas, Francesco Corona, Riku Vahala:
Data-derived soft-sensors for biological wastewater treatment plants: An overview. Environ. Model. Softw. 47: 88-107 (2013) - [j9]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): 30-59 (2013) - [j8]Zhanxing Zhu, Timo Similä, Francesco Corona:
Supervised Distance Preserving Projections. Neural Process. Lett. 38(3): 445-463 (2013) - [c10]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: 17-35 - [c9]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: 408-416 - 2012
- [c8]Amauri Holanda de Souza Júnior, Francesco Corona, Guilherme A. Barreto:
Robust Regional Modeling for Nonlinear System Identification Using Self-Organizing Maps. WSOM 2012: 215-224 - 2011
- [j7]Elia Liitiäinen, Francesco Corona, Amaury Lendasse:
On the Curse of Dimensionality in Supervised Learning of Smooth Regression Functions. Neural Process. Lett. 34(2): 133-154 (2011) - [c7]Li Yao, Amaury Lendasse, Francesco Corona:
Locating Anomalies Using Bayesian Factorizations and Masks. ESANN 2011 - 2010
- [j6]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): 2022-2032 (2010) - [j5]Elia Liitiäinen, Francesco Corona, Amaury Lendasse:
Residual variance estimation using a nearest neighbor statistic. J. Multivar. Anal. 101(4): 811-823 (2010) - [j4]Elia Liitiäinen, Amaury Lendasse, Francesco Corona:
A boundary corrected expansion of the moments of nearest neighbor distributions. Random Struct. Algorithms 37(2): 223-247 (2010)
2000 – 2009
- 2009
- [j3]Elia Liitiäinen, Michel Verleysen, Francesco Corona, Amaury Lendasse:
Residual variance estimation in machine learning. Neurocomputing 72(16-18): 3692-3703 (2009) - [j2]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): 71-79 (2009) - [c6]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: 290-297 - 2008
- [j1]Elia Liitiäinen, Francesco Corona, Amaury Lendasse:
On Nonparametric Residual Variance Estimation. Neural Process. Lett. 28(3): 155-167 (2008) - [c5]Emil Eirola, Elia Liitiäinen, Amaury Lendasse, Francesco Corona, Michel Verleysen:
Using the Delta Test for Variable Selection. ESANN 2008: 25-30 - [c4]Amaury Lendasse, Francesco Corona:
Linear Projection based on Noise Variance Estimation - Application to Spectral Data. ESANN 2008: 457-462 - 2007
- [c3]Elia Liitiäinen, Francesco Corona, Amaury Lendasse:
Nearest Neighbor Distributions and Noise Variance Estimation. ESANN 2007: 67-72 - [c2]Elia Liitiäinen, Amaury Lendasse, Francesco Corona:
Non-parametric Residual Variance Estimation in Supervised Learning. IWANN 2007: 63-71 - 2006
- [c1]Amaury Lendasse, Francesco Corona, Jin Hao, Nima Reyhani, Michel Verleysen:
Determination of the Mahalanobis matrix using nonparametric noise estimations. ESANN 2006: 227-232
Coauthor Index
aka: Amauri Holanda de Souza Júnior
aka: Amauri H. Souza Júnior
aka: Amauri H. Souza Jr.
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last updated on 2024-10-07 21:23 CEST by the dblp team
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