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Mattia Vallerio
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2020 – today
- 2022
- [c5]Toon Stuyck, Axel-Jan Rousseau, Mattia Vallerio, Eric Demeester
:
Semi-Supervised Cloud Detection with Weakly Labeled RGB Aerial Images using Generative Adversarial Networks. ICPRAM 2022: 630-635 - [i1]Imanol Arzac-Garmendia, Mattia Vallerio, Carlos Pérez-Galvan, Francisco J. Navarro-Brull:
Industrial Data Science for Batch Manufacturing Processes. CoRR abs/2209.09660 (2022)
2010 – 2019
- 2016
- [c4]Dries Telen, Mattia Vallerio, Satyajeet S. Bhonsale
, Filip Logist
, Jan F. M. Van Impe:
Towards nonlinear model predictive control with integrated experiment design. ACC 2016: 942-947 - 2015
- [j4]Mattia Vallerio, Dominique Vercammen, Jan F. M. Van Impe, Filip Logist
:
Interactive NBI and (E)NNC methods for the progressive exploration of the criteria space in multi-objective optimization and optimal control. Comput. Chem. Eng. 82: 186-201 (2015) - [j3]Mattia Vallerio, Jan Hufkens, Jan F. M. Van Impe, Filip Logist
:
An interactive decision-support system for multi-objective optimization of nonlinear dynamic processes with uncertainty. Expert Syst. Appl. 42(21): 7710-7731 (2015) - [c3]Dries Telen, Mattia Vallerio, Lorenzo Cabianca, Boris Houska
, Jan F. M. Van Impe, Filip Logist
:
Approximate robust optimal control of nonlinear dynamic systems under process noise. ECC 2015: 1581-1586 - 2014
- [j2]Mattia Vallerio, Jan F. M. Van Impe, Filip Logist
:
Tuning of NMPC controllers via multi-objective optimisation. Comput. Chem. Eng. 61: 38-50 (2014) - [c2]Rien Quirynen, Boris Houska
, Mattia Vallerio, Dries Telen, Filip Logist
, Jan F. M. Van Impe, Moritz Diehl:
Symmetric algorithmic differentiation based exact Hessian SQP method and software for Economic MPC. CDC 2014: 2752-2757 - [c1]Mattia Vallerio, Dominique Vercammen, Jan F. M. Van Impe, Filip Logist
:
Expanding the exploration of the criterion space for multi-objective optimal control problems. ECC 2014: 1236-1241 - 2012
- [j1]Filip Logist
, Mattia Vallerio, Boris Houska
, Moritz Diehl, Jan F. M. Van Impe:
Multi-objective optimal control of chemical processes using ACADO toolkit. Comput. Chem. Eng. 37: 191-199 (2012)
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