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ORCIDFederico Papa
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2020 – today
- 2024
[j13]Alessandro Borri
, Pasquale Palumbo, Federico Papa, Corrado Possieri:
Optimizing restrictions in epidemics via piecewise time-varying SIRD models: Application to the COVID-19 Italian emergency. Eur. J. Control 75: 100902 (2024)- [j12]Paolo Di Giamberardino, Daniela Iacoviello, Federico Papa:
Modeling and Optimal Control for Resource Allocation in the Epidemic Monitoring of a Multi-group Population. SN Comput. Sci. 5(1): 121 (2024) - 2023
- [j11]Giovanni Palombo, Alessandro Borri, Federico Papa, Marco Papi, Pasquale Palumbo:
Parameter Identification in Metabolic Reaction Networks by Means of Multiple Steady-State Measurements. Symmetry 15(2): 368 (2023) - 2022
- [j10]Federica Conte, Federico Papa, Paola Paci, Lorenzo Farina:
StaRTrEK: in silico estimation of RNA half-lives from genome-wide time-course experiments without transcriptional inhibition. BMC Bioinform. 23(1): 190 (2022) - [j9]Alessandro Borri, Pasquale Palumbo, Federico Papa:
The Stochastic Approach for SIR Epidemic Models: Do They Help to Increase Information from Raw Data? Symmetry 14(11): 2330 (2022) - [c10]Paolo Di Giamberardino, Daniela Iacoviello, Federico Papa:
Optimal Resource Allocation for Fast Epidemic Monitoring in Networked Populations. ICINCO 2022: 616-625 - [c9]Andrea Garrone, Simone Minisi, Luca Oneto, Carlo Dambra, Marco Borinato, Paolo Sanetti, Giulia Vignola, Federico Papa, Nadia Mazzino, Davide Anguita:
Simple Non Regressive Informed Machine Learning Model for Prescriptive Maintenance of Track Circuits in a Subway Environment. SYSINT 2022: 74-83 - 2021
- [j8]Alessandro Borri, Pasquale Palumbo, Federico Papa, Corrado Possieri:
Optimal design of lock-down and reopening policies for early-stage epidemics through SIR-D models. Annu. Rev. Control. 51: 511-524 (2021) - [j7]Paolo Di Giamberardino, Daniela Iacoviello, Federico Papa, Carmela Sinisgalli:
Dynamical Evolution of COVID-19 in Italy With an Evaluation of the Size of the Asymptomatic Infective Population. IEEE J. Biomed. Health Informatics 25(4): 1326-1332 (2021) - [c8]Alessandro Borri, Pasquale Palumbo, Federico Papa:
Spread/removal parameter identification in a SIR epidemic model. CDC 2021: 2079-2084 - [c7]Paolo Di Giamberardino, Daniela Iacoviello, Federico Papa, Carmela Sinisgalli:
A multi-group epidemic model to represent the COVID-19 spread among regions: analysis of the Italian case. MED 2021: 115-120 - 2020
- [j6]Alessandro Bertuzzi, Federica Conte, Federico Papa, Carmela Sinisgalli:
Applications of Nonlinear Programming to the Optimization of Fractionated Protocols in Cancer Radiotherapy. Inf. 11(6): 313 (2020)
2010 – 2019
- 2019
- [c6]Alice Consilvio, Paolo Sanetti, Davide Anguita, Carlo Crovetto, Carlo Dambra, Luca Oneto, Federico Papa, Nicola Sacco:
Prescriptive Maintenance of Railway Infrastructure: From Data Analytics to Decision Support. MT-ITS 2019: 1-10 - 2018
- [j5]Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita:
Train Delay Prediction Systems: A Big Data Analytics Perspective. Big Data Res. 11: 54-64 (2018) - [i1]Pasquale Palumbo, Marco Vanoni, Federico Papa, Stefano Busti, Lilia Alberghina:
Whole yeast model: what and why. PeerJ Prepr. 6: e27327 (2018) - 2017
- [j4]Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita:
Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout. IEEE Trans. Syst. Man Cybern. Syst. 47(10): 2754-2767 (2017) - [c5]Pasquale Palumbo, Marco Vanoni, Federico Papa, Stefano Busti, Meike T. Wortel, Bas Teusink, Lilia Alberghina:
An Integrated Model Quantitatively Describing Metabolism, Growth and Cell Cycle in Budding Yeast. WIVACE 2017: 165-180 - 2016
- [j3]Chiara Bersani, Federico Papa, Roberto Sacile, Mohamed Sallak, Stefano Terribile:
Towards dynamic exposure-based schedule for hazardous material trains. J. Rail Transp. Plan. Manag. 6(2): 116-127 (2016) - [c4]Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita:
Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data. DSAA 2016: 458-467 - [c3]Luca Oneto, Emanuele Fumeo, Giorgio Clerico, Renzo Canepa, Federico Papa, Carlo Dambra, Nadia Mazzino, Davide Anguita:
Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics. INNS Conference on Big Data 2016: 139-150 - 2015
- [c2]Valerio Cusimano, Pasquale Palumbo, Federico Papa:
Closed-loop control of tumor growth by means of anti-angiogenic administration. CDC 2015: 7789-7794 - 2013
- [j2]Carlo Bruni, Giorgio Koch, Federico Papa:
Estimate accuracy versus measurement cost saving in continuous time linear filtering problems. J. Frankl. Inst. 350(5): 1051-1074 (2013) - 2011
- [j1]Carlo Bruni, Giorgio Koch, Federico Papa:
A measurement policy in stochastic linear filtering problems. Comput. Math. Appl. 61(3): 546-566 (2011) - 2010
- [c1]Federico Papa:
A Model of the Tumour Spheroid Response to Radiation - Identifiability Analysis. BIOSIGNALS 2010: 419-423
Coauthor Index
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