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Federico Di Palma
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2020 – today
- 2020
- [c5]Federico Di Palma, Francesca Iacono, Chiara Toffanin, Andrea Ziccardi, Lalo Magni:
Scalable model for industrial coffee roasting chamber. ISM 2020: 122-131
2010 – 2019
- 2018
- [j6]Chiara Toffanin, Roberto Visentin, Mirko Messori, Federico Di Palma, Lalo Magni, Claudio Cobelli:
Toward a Run-to-Run Adaptive Artificial Pancreas: In Silico Results. IEEE Trans. Biomed. Eng. 65(3): 479-488 (2018) - 2015
- [j5]Giordano Lanzola, Chiara Toffanin, Federico Di Palma, Simone Del Favero, Lalo Magni, Riccardo Bellazzi:
Designing an artificial pancreas architecture: the AP@home experience. Medical Biol. Eng. Comput. 53(12): 1271-1283 (2015) - 2013
- [c4]Maurizio Gentili, Daniele Caltabiano, Roberto Sannino, Chiara Toffanin, Federico Di Palma, Lalo Magni, Stephen Lane:
Embedded implementation of modular closed-loop control of diabetes and in silico validation. Healthcom 2013: 512-517
2000 – 2009
- 2009
- [c3]Federico Di Palma, Andrea Monastero, Paolo Fiorini:
Reducing complexity in robotic learning by experimentation. ICAR 2009: 1-7 - 2007
- [j4]Federico Di Palma, Giuseppe De Nicolao, Guido Miraglia, Oliver M. Donzelli:
ACID: Automatic Sort-Map Classification for Interactive Process Diagnosis. IEEE Des. Test Comput. 24(4): 352-361 (2007) - [j3]Federico Di Palma, Lalo Magni:
On optimality of nonlinear model predictive control. Syst. Control. Lett. 56(1): 58-61 (2007) - 2005
- [j2]Federico Di Palma, Giuseppe De Nicolao, Guido Miraglia, Egidio Pasquinetti, Francesco Piccinini:
Unsupervised spatial pattern classification of electrical-wafer-sorting maps in semiconductor manufacturing. Pattern Recognit. Lett. 26(12): 1857-1865 (2005) - [c2]Federico Di Palma, Antonella Ferrara, Riccardo Scattolini:
Some Results on the Stability of Multi-Controlled System. ISIC 2005: 1298-1302 - [c1]Federico Di Palma, Giuseppe De Nicolao, Guido Miraglia, Oliver M. Donzelli:
Process Diagnosis via Electrical-Wafer-Sorting Maps Classification. ICDM 2005: 601-604 - 2004
- [j1]Federico Di Palma, Lalo Magni:
A multi-model structure for model predictive control. Annu. Rev. Control. 28(1): 47-52 (2004)
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