Federico Papa

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 20

Top Topics

Nonlinear Programming

Resource Allocation

Big Data Analytics

Top Venues

Annu. Rev. Control.

Eur. J. Control

Publications

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 (2024)
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) (2024)
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) (2023)
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) (2022)
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) (2022)
Paolo Di Giamberardino, Daniela Iacoviello, Federico Papa
Optimal Resource Allocation for Fast Epidemic Monitoring in Networked Populations. ICINCO (2022)
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)
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)
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 (2021)
Alessandro Borri, Pasquale Palumbo, Federico Papa
Spread/removal parameter identification in a SIR epidemic model. CDC (2021)
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) (2021)
Alessandro Bertuzzi, Federica Conte, Federico Papa, Carmela Sinisgalli
Applications of Nonlinear Programming to the Optimization of Fractionated Protocols in Cancer Radiotherapy. Inf. 11 (6) (2020)
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)
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 (2018)
Pasquale Palumbo, Marco Vanoni, Federico Papa, Stefano Busti, Lilia Alberghina
Whole yeast model: what and why. PeerJ Prepr. 6 (2018)
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) (2017)
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)
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)
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) (2016)
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)
Valerio Cusimano, Pasquale Palumbo, Federico Papa
Closed-loop control of tumor growth by means of anti-angiogenic administration. CDC (2015)
Carlo Bruni, Giorgio Koch, Federico Papa
Estimate accuracy versus measurement cost saving in continuous time linear filtering problems. J. Frankl. Inst. 350 (5) (2013)
Carlo Bruni, Giorgio Koch, Federico Papa
A measurement policy in stochastic linear filtering problems. Comput. Math. Appl. 61 (3) (2011)
Federico Papa
A Model of the Tumour Spheroid Response to Radiation - Identifiability Analysis. BIOSIGNALS (2010)