Incremental kernel spectral clustering for online learning of non-stationary data von Langone, Rocco, Mauricio Agudelo, Oscar, De Moor, Bart, Suykens, Johan A.K.

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Island Transpeciation: A Co-Evolutionary Neural Architecture Search, Applied to Country-Scale Air-Quality Forecasting von Theodorakos, Konstantinos, Mauricio Agudelo, Oscar, Schreurs, Joachim, Suykens, Johan A. K., De Moor, Bart

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Decomposition-Residuals Neural Networks: Hybrid System Identification Applied to Electricity Demand Forecasting von Theodorakos, Konstantinos, Agudelo, Oscar Mauricio, Espinoza, Marcelo, De Moor, Bart

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DSS4EX: A Decision Support System framework to explore Artificial Intelligence pipelines with an application in time series forecasting von Rinaldi, Giulia, Theodorakos, Konstantinos, Garcia, Fernando Crema, Agudelo, Oscar Mauricio, De Moor, Bart

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Two-sided coupled generalized Sylvester matrix equations solving using a simultaneous decomposition for fifteen matrices von He, Zhuo-Heng, Agudelo, Oscar Mauricio, Wang, Qing-Wen, De Moor, Bart

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Globally Optimal SISO H 2 -Norm Model Reduction Using Walsh’s Theorem von Lagauw, Sibren, Agudelo, Oscar Mauricio, De Moor, Bart

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Incremental multi-class semi-supervised clustering regularized by Kalman filtering von Mehrkanoon, Siamak, Agudelo, Oscar Mauricio, Suykens, Johan A.K.

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Flood control of the Demer by using Model Predictive Control von Breckpot, Maarten, Agudelo, Oscar Mauricio, Meert, Pieter, Willems, Patrick, De Moor, Bart

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Globally Optimal SISO H2-Norm Model Reduction Using Walsh's Theorem von Lagauw, Sibren, Agudelo, Oscar Mauricio, Moor, Bart De

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Flood Control with Model Predictive Control for River Systems with Water Reservoirs von Breckpot, Maarten, Agudelo, Oscar Mauricio, De Moor, Bart

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A Multiple-Input Multiple-Output Cepstrum von Lauwers, Oliver, Agudelo, Oscar Mauricio, De Moor, Bart

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Globally Optimal SISO H2-Norm Model Reduction Using Walsh's Theorem von Lagauw, S, Agudelo Manozca, Oscar Mauricio, De Moor, B

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Globally Optimal SISO H2-Norm Model Reduction Using Walsh's Theorem von Lagauw, S, Agudelo Manozca, Oscar Mauricio, De Moor, B

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Incremental multi-class semi-supervised clustering regularized by Kalman filtering von Mehrkanoon, Siamak, Agudelo Manozca, Oscar Mauricio, Suykens, Johan

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Hammerstein system identification through best linear approximation inversion and regularisation von Castro-Garcia, Ricardo, Tiels, Koen, Agudelo Manozca, Oscar Mauricio, Suykens, Johan A.K

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Two-sided coupled generalized Sylvester matrix equations solving using a simultaneous decomposition for fifteen matrices von He, Z, Agudelo Manozca, Oscar Mauricio, Wang, Q, De Moor, Bart

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Positive Polynomial Constraints for POD-based Model Predictive Controllers : POSITIVE POLYNOMIALS IN CONTROL von MAURICIO AGUDELO, Oscar, BAES, Michel, ESPINOSA, Jairo José, DIEHL, Moritz, DE MOOR, Bart

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Globally Optimal H2-Norm Model Reduction: A Numerical Linear Algebra Approach⁎⁎⁎This work was supported in part by the KU Leuven: Research Fund (projects C16/15/059, C3/19/053, C24... von Agudelo, Oscar Mauricio, Vermeersch, Christof, Moor, Bart De

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Incremental kernel spectral clustering for online learning of non-stationary data von Langone, Rocco, Agudelo Manozca, Oscar Mauricio, De Moor, Bart, Suykens, Johan

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Positive Polynomial Constraints for POD-based Model Predictive Controllers von Agudelo, O.M., Baes, M., Espinosa, J.J., Diehl, M., De Moor, B.

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