Francesco Corona

Dept. of Chemical and Metallurgical Engineering | School of Chemical Engineering
Dept. of Computer Science | School of Science
Aalto University | Web and email

Home | Teaching | Research | Papers | Supervision | Positions

Preprints and working papers

  • [] "Predictive control of activated sludge plants to supply nitrogen for optimal crop growth". Working paper.
  • [] "Optimal control and estimation of activated sludge plants". Working paper.
  • [] "Structural dynamics of a class of flexible activated sludge plants". Working paper.
  • [] "Stochastic parameter estimation of chemical processes". Working paper.
  • [] "Stochastic filtering for the chemostat". Working paper.
  • [] "Confidence intervals for a class of residual variance estimators". Working paper.

Journal papers

  • [JPC2022] O. B. L. Neto, M. Mulas and F. Corona, "About the classical and structural controllability and observability of a common class of activated sludge plants". Journal of Process Control, to appear.
  • [ASC19] D. Parente, J. Gomes, F. Corona, A. Holanda and J. Nobre, "Gaussian kernels for incomplete data", Applied Soft Computing, 77, 356-365, 2019.
  • [NC18] M. Juuti, F. Corona and J. Karhunen, "Stochastic Discriminant Analysis for linear supervised dimension reduction". Neurocomputing, 291, 136-150, 2018.
  • [EST16] H. Kosonen, M. Heinonen, A. Mikola, H. Haimi, M. Mulas, F. Corona and R. Vahala, "Nitrous oxide production at a fully covered wastewater treatment plant: Results of a long-term on-line monitoring campaign". Environmental Science & Technology, 50(11), 5547 - 5554, 2016.
  • [EAAI16] H. Haimi, M. Mulas, F. Corona, S. Marsili-Libelli, P. Lindell, M. Heinonen and R. Vahala, "Adaptive data-derived anomaly detection in the activated sludge process of a large-scale wastewater treatment plant". Engineering Applications of Artificial Intelligence, 52, 65 - 80, 2016.
  • [JPC15] M. Mulas, S. Tronci, F. Corona, H. Haimi, P. Lindell, M. Heinonen, R. Vahala and R. Baratti, "An application of predictive control to the Viikinmäki wastewater treatment plant". Journal of Process Control, 35, 89 - 100, 2015.
  • [EMS15] H. Haimi, F. Corona, M. Mulas and R. Vahala, "Shall we use hardware sensor measurements or soft-sensor estimates? Case study in a full-scale WWTP". Environmental Modeling & Software, 72, 215 - 229, 2015.
  • [JPC15] F. Corona, Z. Zhu, A. H. de Souza Junior, M. Mulas, E. Muru, L. Sassu, G. Barreto and R. Baratti, "Supervised Distance Preserving Projections: Applications in the quantitative analysis of diesel fuels and light cycle oils". Journal of Process Control, 30, 10 - 21, 2015.
  • [AC15] M. Loos, C. Gerber, F. Corona, J. Hollender and H. Singer, "Accelerated isotope fine structure calculation using pruned transition trees". Analytical Chemistry, 87 (11), 5738 - 5744, 2015.
  • [EI15b] I. Vuorinen, J. Hänninen, M. Rajasilta, P. Laine, J. Eklund, F. Montesino-Pouzols, F. Corona, K. Junker, M. Meier and J. W. Dippner, "Corrigendum to 'Scenario simulations of future salinity and ecological consequences in the Baltic Sea and adjacent North Sea areas - Implications for environmental monitoring'" [Ecol. Indic. 50 (2015) 196-205]". Ecological Indicators, 53, 294, 2015.
  • [NC15] A. H. de Souza Junior, G. Barreto and F. Corona, "Minimal Learning Machine: A new distance-based method for supervised learning". Neurocomputing, 147, 31 - 46, 2015.
  • [EI15a] I. Vuorinen, J. Hänninen, M. Rajasilta, P. Laine, J. Eklund, F. Montesino-Pouzols, F. Corona, K. Junker, M. Meier and J. W. Dippner, "Scenario simulations of future salinity and ecological consequences in the Baltic Sea and adjacent North Sea areas -- implications for environmental monitoring". Ecological Indicators, 50, 196 - 205, 2015.
  • [NC15] A. H. de Souza Junior, G. Barreto and F. Corona, "Regional models: A new approach for nonlinear dynamical system identification with the Self-Organizing Map". Neurocomputing, 147(5), 36 - 45, 2015.
  • [NC14] R. Moreno, F. Corona, A. Lendasse, M. Grana and L. Galvao. "Extreme learning machines for soybean classification in remote sensing hyperspectral images". Neurocomputing, 128, 207 - 216, 2014.
  • [IS13] A. Akusok, A. Lendasse, F. Corona, R. Nian, Y. Miche et al. "Extreme learning machines (ELMVIS: A nonlinear visualization technique using random permutations and ELMs)". IEEE Intelligent Systems, 28(6), 30 - 59, 2013.
  • [EMS13] H. Haimi, M. Mulas, F. Corona and R. Vahala, "Data-derived soft-sensors for biological wastewater treatment plants: An overview". Environmental Modeling & Software, 47, 88-107, 2013.
  • [NPL13] Z. Zhu, T. Similä and F. Corona, "Supervised distance preserving projections". Neural Processing Letters, 38, 445-463, 2013.
  • [JPC13] F. Corona, M. Mulas, H. Haimi, L. Sundell, M. Heinonen and R. Vahala, "Monitoring nitrate concentrations in the denitrifying post-filtration unit of a municipal wastewater treatment plant". Journal of Process Control, 23, 158-170, 2013.
  • [I&EC12] F. Corona, M. Mulas, R. Baratti and J. A. Romagnoli, "Data derived analysis and inference for an industrial deethanizer". Industrial & Engineering Chemistry Research, 51(42), 13732-13742, 2012.
  • [WST12] M. Mulas, F. Corona, H. Haimi, L. Sundell, M. Heinonen and R. Vahala, "Nitrate estimation in a denitrifying post-filtration unit of a municipal wastewater plant: The Viikinmäki case". Water Science and Technology, 65(8), 1521-1529, 2012.
  • [NPL11] E. Liitiäinen, F. Corona and A. Lendasse, "On the curse of dimensionality in supervised learning of smooth regression functions". Neural Processing Letters, 34(2), 133-154, 2011.
  • [C&CE10] F. Corona, M. Mulas, R. Baratti and J. A. Romagnoli, "On the topological analysis of industrial process data using the SOM". Computers & Chemical Engineering, 34(12), 2022-2032, 2010.
  • [JCHEM10] M. Toiviainen, F. Corona, J. Paaso and P. Teppola, "Blind source separation in diffuse reflectance NIR spectroscopy using independent component analysis". Journal of Chemometrics, 24(7-8), 514-522, 2010.
  • [RSA10] E. Liitiäinen, A. Lendasse and F. Corona, "A boundary corrected expansion of the moments of nearest neighbors distributions". Random Structures and Algorithms, 37(2), 223-247, 2010.
  • [JMVA10] E. Liitiäinen, F. Corona and A. Lendasse, "Residual variance estimation using a nearest neighbors statistic". Journal of Multivariate Analysis, 101(4), 811-823, 2010.
  • [NC09b] E. Liitiäinen, M. Verleysen, F. Corona and A. Lendasse, "Residual variance estimation in Machine Learning". Neurocomputing, 72(16-18), 3692-3703, 2009.
  • [NC09a] F. Corona, E. Liitiäinen, A. Lendasse, L. Sassu, S. Melis and R. Baratti, "A SOM-based approach to estimating product properties from spectroscopic measurements". Neurocomputing, 73(1-3), 71-79, 2009.
  • [JCHEM08b] T. Kärnä, F. Corona and A. Lendasse "Compressing spectral data using optimised Gaussian basis". Journal of Chemometrics, 22(11-12), 701-707, 2008.
  • [NPL08] E. Liitiäinen, A. Lendasse and F. Corona, "On non-parametric residual variance estimation". Neural Processing Letters, 28(3), 155-167, 2008.
  • [JCHEM08a] F. Corona, S.-P. Reinikainen, K. Aaljoki, A. Perkkiö, E. Liitiainen, R. Baratti, A. Lendasse and O. Simula, "Wavelength selection using the measure of topological relevance on the Self-Organizing Map". Journal of Chemometrics, 22(11-12), 610-620, 2008.
  • [PRSA08] E. Liitiäinen, A. Lendasse and F. Corona, "Bounds on the power-weighted mean nearest neighbor distance". Proceedings of the Royal Society A, 464(2097), 2293-2301, 2008

Book chapters

  • [LNCS15] J. Gomes, A. Souza Junior, A. Rocha and F. Corona, "A Cost Sensitive Minimal Learning Machine for Pattern Classification". Lecture Notes in Computer Science: , vol. 9489, 557-564, 2015.
  • [LNCS13c] A. Holanda, F. Corona, Y. Miche, A. Lendasse, G. Barreto and O. Simula. "Minimal Learning Machine: A new distance-based method for supervised learning". Lecture Notes in Computer Science: , vol. 7902, 408-416, 2013.
  • [LNCS13b] A. Lendasse, A. Akusok, O. Simula, F. Corona, M. van Heeswijk, E. Eirola and Y. Miche. "Extreme Learning Machine: A robust modeling technique? Yes!". Lecture Notes in Computer Science: , vol. 7902, 17-35, 2013.
  • [LNCS13a] A. Holanda, F. Corona and G. Barreto. "Robust regional modeling for nonlinear system identification using self-organizing maps". Lecture Notes in Computer Science: Advances in Self-Organizing Maps, vol. 198, 215-224, 2013.
  • [PSE09b] F. Corona, E. Liitiäinen, R. Baratti and L. Sassu, "Delaunay tessellation and topological regression: An application to estimating product properties from spectroscopic measurements". In Computer Aided Chemical Engineering: Tenth International Symposium on Process Systems Engineering, PSE 2009, vol. 27, 1179-1184, 2009.
  • [PSE09a] F. Corona, M. Mulas, R. Baratti and J. A. Romagnoli, "On the topological analysis of industrial process data using the SOM". In Computer Aided Chemical Engineering: Tenth International Symposium on Process Systems Engineering, PSE 2009, vol. 27, 1173-1178, 2009.
  • [LNCS09] A. Sorjamaa, F. Corona, Y. Miche, P. Merlin, B. Maillet, E. Severin and A. Lendasse, "Sparse linear combination of SOMs for data imputation: Application to financial databases". Lecture Notes in Computer Science: Advances in Self-Organizing Maps, vol. 5629, 290-297, 2009.
  • [LNCS07] E. Liitiäinen, F. Corona and A. Lendasse, "Non-parametric residual variance estimation in supervised learning". Lecture Notes in Computer Science: Computational and Ambient Intelligence, vol. 4507, 63-71, 2007.
  • [AIDICCS05] F. Corona, S. Tronci, P. Bragatto, P. Pittiglio, A. Servida, C. Codevico and R. Baratti, "Application of neural soft sensing techniques to emission monitoring from multiple combustion processes". In AIDIC Conference Series: The seventh Italian Conference on Chemical and process Engineering ICheapP-7, vol. 7, 59-66, 2005.

Conference papers

  • [DYCOPS22] O. B. L. Neto, M. Mulas and F. Corona, "Online optimal estimation and control for a common class of activated sludge plants". To appear, 2022.
  • [DYCOPS22] E. F. Montesuma, M. Mulas, F. Ngolè Mboula, and F. Corona"Cross-domain fault diagnosis through optimal transport for a CSTR process". To appear, 2022.
  • [AICHE21] T. Ikonen, F. Corona and I. Harjunkoski, "Fitting of lifetime distributions with bathtub-shaped failure rate to data using optimization algorithms" In Proc. AIChE 2021 Annual Meeting, 2021.
  • [INDIN21] K. Haitsiukevich, S. Bergman, C. Araujo, F. Corona and A. Ilin, "A grid-structured model of tubular reactors" In Proc. INDIN 2021 Twenty-first IEEE International Conference on Industrial Informatics, 2021.
  • [ADCHEM21] O. B. L. Neto, A. Haddon, F. Aichouche, J. Harmand, M. Mulas and F. Corona. "Predictive control of activated sludge plants to supply nitrogen for optimal crop growth" In Proc. ADCHEM 2021 Eleventh IFAC International Symposium on Advanced Control of Chemical Processes, 2021.
  • [IFAC20] O. B. L. Neto, M. Mulas and F. Corona, "On the observability of activated sludge plants". In Proc. IFAC 2020 Twenty-first World Congress of the International Federation of Automatic Control, 2020.
  • [ECC20] O. B. L. Neto, M. Mulas and F. Corona, "On the controllability of activated sludge plants". In Proc. ECC 2020 Eighteenth European Control Conference, 2020.
  • [DYCOPS19] F. Corona, M. Mulas, A. Mikkola, A. Kuokkanen, M. Heinonen and R. Vahala, "Network representation and analysis of a large-scale wastewater treatment plant". In Proc. DYCOPS-CAB 2019 Twelveth International Symposium on Dynamics and Control of Process Systems, including Biosystems, 2019.
  • [DYCOPS16] M. Mulas, F. Corona, J. Sirviö, S. Hyvönen and R. Vahala, "Full-Scale implementation of an advanced control system on a biological wastewater treatment plant". In Proc. DYCOPS-CAB 2016 Eleventh International Symposium on Dynamics and Control of Process Systems, including Biosystems, 2016.
  • [IJCNN15] M. Juuti, F. Corona and J. Kaurhunen, "Stochastic Discriminant Analysis". In Proc. IEEE-IJCNN 2015 International Joint Conference on Neural Networks, 1-8, 2015.
  • [IJCNN14] E. Eirola, A. Lendasse, F. Corona and M. Verleysen, "The Delta-test: The 1-NN estimator as a feature selection criterion". In Proc. IEEE-IJCNN 2014 International Joint Conference on Neural Networks, 4214-4222, 2014.
  • [DYCOPS13] F. Corona, Z. Zhu, A. H. Souza Junior, M. Mulas and R. Baratti, "Spectroscopic monitoring of diesel fuels using the Supervised Distance Preserving Projection". In Proc. IFAC-DYCOPS 2013 Tenth International Symposium on Dynamics and Control of Process Systems, 63-69, 2013.
  • [CAB13] M. Mulas, S. Tronci, F. Corona, H. Haimi, P. Lindell, M. Heinonen, R. Vahala and R. Baratti "An application of predictive control to the Viikinmäki wastewater treatment plant". In Proc. IFAC-CAB 2013 Twelfth International Symposium on Computer Applications in Biotechnology, 18-23, 2013.
  • [IFAC11a] M. Mulas, F. Corona, H. Haimi, L. Sundell, M. Heinonen and R. Vahala, "Estimating nitrate concentration in the post-denitrification unit of a municipal wastewater treatment plant". In Proc. IFAC 2011 Eighteenth World Congress of the International Federation of Automatic Control, 6212-6217, 2011. The paper was awarded the IFAC "Honorable mention" as one of the five finalists to the "Application paper prize".
  • [IFAC11b] Z. Zhu. F. Corona, A. Lendasse, R. Baratti, J. A. Romagnoli, "Local linear regression for soft-sensor design with application to an industrial deethanizer". In Proc. IFAC 2011 Eighteenth World Congress of the International Federation of Automatic Control, 2839-2844, 2011.
  • [ESANN11] L. Yao, A. Lendasse and F. Corona, "Locating anomalies using Bayesian factorizations and masks". In Proc. ESANN 2011 Nineteenth European Symposium on Artificial Neural Networks, 207-212, 2011.
  • [DYCOPS10] F. Corona, E. Liitiäinen, A. Lendasse, R. Baratti and L. Sassu, "A continuous regression function for the Delaunay calibration method". In Proc. IFAC-DYCOPS 2010 Nineth International Symposium on Dynamics and Control of Process Systems, 180-185, 2010.
  • [MLSP09] E. Liitiäinen, A. Lendasse and F. Corona, "On the statistical estimation of Renyi entropies". In Proc IEEE-MLSP 2009 Nineteenth Internation Workshop on Machine Learning for Signal Processing, 2009.
  • [ADCHEM09] F. Corona, M. Mulas, R. Baratti and J. A. Romagnoli, "Data derived analysis and inference for an industrial deethanizer". In Proc. IFAC-ADCHEM 2009 Seventh International Symposium on Advanced Control of Chemical Processes, Vol. II, 717-723, 2009.
  • [ESANN08a] E. Eirola, E. Liitiäinen, A. Lendasse, F. Corona and M. Verleysen, "Using the Delta test for variable selection". In Proc. ESANN 2008 Sixteenth European Symposium on Artificial Neural Networks, 25-30, 2008.
  • [ESANN08b] A. Lendasse and F. Corona, "Linear projection based on noise variance estimation: Application to spectral data". In Proc. ESANN 2008 Sixteenth European Symposium on Artificial Neural Networks, 457-462, 2008.
  • [EANN07] F. Corona, E. Liitiainen, A. Lendasse and R. Baratti, "Measure of topological relevance on the Self-Organizing Map: Applications to process monitoring from spectroscopic measurements". In Proc. EANN 2007 Tenth International Conference on Engineering Applications of Neural Networks, 24-33, 2007.
  • [DYCOPS07] F. Corona, L. Sassu, S. Melis and R. Baratti, "Measure of topological relevance for soft sensing product properties". In Proc. IFAC-DYCOPS 2007 Eighth International Symposium on Dynamics and Control of Process Systems, 175-180, 2007.
  • [ESANN07] E. Liitiainen, F. Corona and A. Lendasse, "Nearest neighbor distributions and noise variance estimation". In Proc. ESANN 2007 Fifteenth European Symposium on Artificial Neural Networks, 67-72, 2007.
  • [ESANN06] A. Lendasse, F. Corona, J. Hao, N. Reyhani and M. Verleysen, "Determination of the Mahalanobis matrix using non-parametric noise estimations". In Proc. ESANN 2006 Fourteenth European Symposium on Artificial Neural Networks, 227-232, 2006.
  • [WSOM05] F. Corona and A. Lendasse, "Input selection and function approximation using the Self-Organizing Map: An application to spectrometric modeling". In Proc. WSOM 2005 Fifth Workshop on Self-Organizing Maps, 653-660, 2005.
  • [EANN05a] F. Corona, S. Tronci, A. Servida and R. Baratti, "Analysis and monitoring of air emissions using neural techiques". In Proc. EANN 2005 Nineth International Conference on Engineering Applications of Neural Networks, 101-108, 2005..
  • [EANN05b] S. Tronci, F. Corona, M. Grosso, R. Calento and F. Murena, "Comparing neural networks and regression models for air quality management". In Proc. EANN 2005 Nineth International Conference on Engineering Applications of Neural Networks, 93-100, 2005.

Lightly referred papers and scribbles

  • [NPCW22] O. Sliczniuk, P. Oinas, and F. Corona, "Forward sensitivity analysis of a supercritical extraction process". In Book of Abstracts Nordic Process Control Workshop. To appear, 2022.
  • [NPCW22] A. Magalhães, M. F. Emzir and F. Corona, "Approximations to the solution of the Kushner-Stratonovich equation for the stochastic chemostat". In Book of Abstracts Nordic Process Control Workshop. To appear, 2022.
  • [NPCW22] O. B. L. Neto, M. Mulas, and F. Corona, "A receding-horizon framework for optimal control and estimation of a common class of activated sludge plants". In Book of Abstracts Nordic Process Control Workshop, 2022.
  • [CompCHEM21] A. Magalhães, M. F. Emzir and F. Corona, "Particle approximations for the stochastic chemostat". In Book of Abstracts Computational Chemistry Days, 2021.
  • [BRACIS19] D. J. Vasconcelos, A. Holanda and F. Corona, "Probabilistic multilaterastion: Model and inference". In Proc. Eighth Brazilian Conference on Intelligent Systems (BRACIS), 2019.
  • [SSC15] F. Corona, M. Mulas, L. Sassu, E. Muru and R. Baratti, "An application of Supervised Distance Preserving Projections to Gasoline Blending". In Book of abstracts Fourteenth Scandinavian Symposium of Chemometrics, 2015.
  • [BRICS13a] F. Corona, Z. Zhu, A. Holanda, M. Mulas, G. Barreto and R. Baratti, "Monitoring diesel fuels with Supervised Distance Preserving Projections and Local Linear Regression". In Proc. BRICS-CCI 2013 First BRICS Countries Congress on Computational Intelligence, 2013.
  • [BRICS13b] A. Holanda, F. Corona, Y. Miche, A. Lendasse and G. Barreto, "Extending the Minimal Learning Machine for Patter Classification". In Proc. BRICS-CCI 2013 First BRICS Countries Congress on Computational Intelligence, 2013.
  • [ICA13a] H. Haimi, M. Mulas, F. Corona, P. Lindell, M. Heinonen and R. Vahala, "Shall we use hardware sensor measurements or soft-sensor estimates? Case study in a full-scale WWTP". IWA-ICA Eleventh Conference on Instrumentation and Control, 2013.
  • [ICA13b] H. Haimi, M. Mulas, F. Corona, S. Marsili-Libelli S, P. Lindell, M. Heinonen and R. Vahala, "Data derived sensor fault detection in the activated sludge process of the Viikinmäki wastewater treatment plant". IWA-ICA Eleventh Conference on Instrumentation and Control, 2013.
  • [AXX2013] H. Haimi, M. Mulas, and F. Corona, "Soft-sensors in wastewater treatment: The benefits of the data-derived approach". AutomaatioXX, 2013.
  • [WMATEX11a] M. Mulas, F. Corona, H. Haimi, L. Sundell, M. Heinonen and R. Vahala, "Nitrate estimation in a denitrifying post-filtration unit of a municipal wastewater plant: The Viikinmäki case". In Proc. IWA-WATERMATEX 2011 Eighth Symposium on System Analysis and Integrated Assessment, 444-451, 2011.
  • [WMATEX11b] H. Haimi, F. Corona, M. Mulas, L. Sundell, M. Heinonen and R. Vahala, "Outlier detection for the denitrifying post-filtration unit of a municipal wastewater plant: The Viikinmäki case". In Proc. IWA-WATERMATEX 2011 Eighth Symposium on System Analysis and Integrated Assessment, 793-800, 2011.
  • [NWW11a] M. Mulas, F. Corona, H. Haimi, L. Sundell, M. Heinonen and R. Vahala, "Soft-sensors as alternative to hardware sensors for the post-denitrification unit of a municipal wastewater plant". In Proc. Twelfth Nordic Wastewater Conference, 2011.
  • [NWW11b] H. Haimi, M. Mulas, F. Corona, L. Sundell, M. Heinonen and R. Vahala, "Detection of outliers in the process data of a wastewater treatment pplant by using Principal Component Analysis". In Proc. Twelfth Nordic Wastewater Conference, 2011.
  • [MASHS09] A. Sorjamaa, F. Corona, Y. Miche and A. Lendasse, "Linear combination of SOMs for data imputation: Application to financial problems". In Proc. MASHS 2009, 2009.
  • [CET09] F. Corona, M. Mulas, R. Baratti and J. A. Romagnoli, "Data analysis and inference for an industrial deethanizer". Chemical Engineering Transactions: Ninenth Italian Conference on Chemical and Process Engineering ICheapP-9, 17, 1197-1202, 2009.
  • [CHIM07a] A. Lendasse and F. Corona, S.-P. Reinikainen and P. Minkkinen, "Functional variable selection using noise variance estimation". In Proc. Chimiometrie 2007, 39-42, 2007.
  • [CHIM07b] A. Lendasse and F. Corona, "Optimal linear projection based on noise variance estimation: Application to spectroscopic modeling". In Proc. Chimiometrie 2007, 165-168, 2007.
  • [CHIM07c] T. Kärnä, F. Corona and A. Lendasse, "Compressing spectral data using optimised Gaussian basis". In Proc. Chimiometrie 2007, 177-180, 2007.
  • [SSC07a] F. Corona, E. Liitiäinen, A. Lendasse and R. Baratti, "Using functional representations in spectrophotoscopic variable selection and regression". In Book of abstracts Tenth Scandinavian Symposium of Chemometrics, 26, 2007.
  • [SSC07b] A. Lendasse and F. Corona, "Optimal linear projection based on noise variance estimation: Application to spectroscopic modeling". In Book of abstracts Tenth Scandinavian Symposium of Chemometrics, 29, 2007.
  • [ESTSP07] F. Corona and A. Lendasse, "Variable scaling for time series prediction". In Proc. ESTSP 2007 First European Symposium on Time Series Prediction, 69-76, 2007.
  • [CET05] F. Corona, S. Tronci, P. Bragatto, P. Pittiglio, A. Servida, C. Codevico and R. Baratti, "Application of neural soft sensing techniques to emission monitoring from multiple combustion processes". In Chemical Engineering Transactions: Seventh Italian Conference on Chemical and Process Engineering ICheapP-7 , 6, 167-172, 2005.
  • [CEM04] F. Callero, P. Moretti, C. Parisi, A. Servida, F. Corona and R. Baratti, "Potentials of soft sensors for continuous emission monitoring systems". In Proc. CEM 2004 International Conference on Emissions Monitoring , 2004.

Technical reports

  • [TKK08] E. Liitiänen, A. Lendasse and F. Corona, "A boundary corrected expansion of the moments of nearest neighbors distributions". TKK Reports in Information and Computer Science, Helsinki University of Technology, TKK-ICS-R9, 2008.
  • [MASI08] O. Simula, F. Corona, A. Lendasse, P. Minkkinen, S.-P. Reinikainen, J. Kohonen, M.-L. Riekkola, K. Hartonen, I. Vuorinen and J. Silen, "Developing chemometrics with the tools of information sciences (CHESS)". MASI Technology Programme, Yearbook 2008, 189-202, 2008.
  • [MASI07] O. Simula, A. Lendasse, F. Corona, S.-P. Reinikainen, M.-L. Riekkola, K. Hartonen, I. Vuorinen and J. Silen, "Developing chemometrics with the tools of information sciences (CHESS)". MASI Technology Programme, Yearbook 2007, 201-221, 2007.

Thesis

  • [DSc07] Development and application of data-derived models for monitoring industrial processes, 2007.
  • [MSc02] Development of neural software sensors for emission monitoring from thermoelectric power plants, 2002.

March 2022.