A Model of the Tumour Spheroid Response to Radiation - Identifiability Analysis. - Federico Papa (BIOSIGNALS, 2010)

A measurement policy in stochastic linear filtering problems. - Carlo Bruni; Giorgio Koch; Federico Papa (Comput. Math. Appl., 2011)

Estimate accuracy versus measurement cost saving in continuous time linear filtering problems. - Carlo Bruni; Giorgio Koch; Federico Papa (J. Frankl. Inst., 2013)

Closed-loop control of tumor growth by means of anti-angiogenic administration. - Valerio Cusimano; Pasquale Palumbo; Federico Papa (CDC, 2015)

Advanced Analytics for Train Delay Prediction Systems by Including Exogenous Weather Data. - Luca Oneto; Emanuele Fumeo; Giorgio Clerico; Renzo Canepa; Federico Papa; Carlo Dambra; Nadia Mazzino; Davide Anguita (DSAA, 2016)

Delay Prediction System for Large-Scale Railway Networks Based on Big Data Analytics. - Luca Oneto; Emanuele Fumeo; Giorgio Clerico; Renzo Canepa; Federico Papa; Carlo Dambra; Nadia Mazzino; Davide Anguita (INNS Conference on Big Data, 2016)

Towards dynamic exposure-based schedule for hazardous material trains. - Chiara Bersani; Federico Papa; Roberto Sacile; Mohamed Sallak; Stefano Terribile (J. Rail Transp. Plan. Manag., 2016)

An Integrated Model Quantitatively Describing Metabolism, Growth and Cell Cycle in Budding Yeast. - Pasquale Palumbo; Marco Vanoni; Federico Papa; Stefano Busti; Meike T. Wortel; Bas Teusink; Lilia Alberghina (WIVACE, 2017)

Dynamic Delay Predictions for Large-Scale Railway Networks: Deep and Shallow Extreme Learning Machines Tuned via Thresholdout. - Luca Oneto; Emanuele Fumeo; Giorgio Clerico; Renzo Canepa; Federico Papa; Carlo Dambra; Nadia Mazzino; Davide Anguita (IEEE Trans. Syst. Man Cybern. Syst., 2017)

Train Delay Prediction Systems: A Big Data Analytics Perspective. - Luca Oneto; Emanuele Fumeo; Giorgio Clerico; Renzo Canepa; Federico Papa; Carlo Dambra; Nadia Mazzino; Davide Anguita (Big Data Res., 2018)

Whole yeast model: what and why. - Pasquale Palumbo; Marco Vanoni; Federico Papa; Stefano Busti; Lilia Alberghina (PeerJ Prepr., 2018)

Prescriptive Maintenance of Railway Infrastructure: From Data Analytics to Decision Support. - Alice Consilvio; Paolo Sanetti; Davide Anguita; Carlo Crovetto; Carlo Dambra; Luca Oneto; Federico Papa; Nicola Sacco (MT-ITS, 2019)

Applications of Nonlinear Programming to the Optimization of Fractionated Protocols in Cancer Radiotherapy. - Alessandro Bertuzzi; Federica Conte; Federico Papa; Carmela Sinisgalli (Inf., 2020)

Spread/removal parameter identification in a SIR epidemic model. - Alessandro Borri; Pasquale Palumbo; Federico Papa (CDC, 2021)

A multi-group epidemic model to represent the COVID-19 spread among regions: analysis of the Italian case. - Paolo Di Giamberardino; Daniela Iacoviello; Federico Papa; Carmela Sinisgalli (MED, 2021)

Optimal design of lock-down and reopening policies for early-stage epidemics through SIR-D models. - Alessandro Borri; Pasquale Palumbo; Federico Papa; Corrado Possieri (Annu. Rev. Control., 2021)

Dynamical Evolution of COVID-19 in Italy With an Evaluation of the Size of the Asymptomatic Infective Population. - Paolo Di Giamberardino; Daniela Iacoviello; Federico Papa; Carmela Sinisgalli (IEEE J. Biomed. Health Informatics, 2021)

Optimal Resource Allocation for Fast Epidemic Monitoring in Networked Populations. - Paolo Di Giamberardino; Daniela Iacoviello; Federico Papa (ICINCO, 2022)

Simple Non Regressive Informed Machine Learning Model for Prescriptive Maintenance of Track Circuits in a Subway Environment. - Andrea Garrone; Simone Minisi; Luca Oneto; Carlo Dambra; Marco Borinato; Paolo Sanetti; Giulia Vignola; Federico Papa; Nadia Mazzino; Davide Anguita (SYSINT, 2022)

StaRTrEK: in silico estimation of RNA half-lives from genome-wide time-course experiments without transcriptional inhibition. - Federica Conte; Federico Papa; Paola Paci; Lorenzo Farina (BMC Bioinform., 2022)

The Stochastic Approach for SIR Epidemic Models: Do They Help to Increase Information from Raw Data? - Alessandro Borri; Pasquale Palumbo; Federico Papa (Symmetry, 2022)

Parameter Identification in Metabolic Reaction Networks by Means of Multiple Steady-State Measurements. - Giovanni Palombo; Alessandro Borri; Federico Papa; Marco Papi; Pasquale Palumbo (Symmetry, 2023)

Enhanced Quadratic Extended Kalman Filter. - Giovanni Palombo; Massimiliano D'Angelo; Federico Papa; Valerio Cusimano; Alessandro Borri (CDC, 2024)

Exponential growth conditions for a coarse-grain model of ribosome synthesis. - Pasquale Palumbo; Federico Papa; Stefano Busti; Marco Vanoni (CDC, 2024)

Optimizing restrictions in epidemics via piecewise time-varying SIRD models: Application to the COVID-19 Italian emergency. - Alessandro Borri; Pasquale Palumbo; Federico Papa; Corrado Possieri (Eur. J. Control, 2024)

Modeling and Optimal Control for Resource Allocation in the Epidemic Monitoring of a Multi-group Population. - Paolo Di Giamberardino; Daniela Iacoviello; Federico Papa (SN Comput. Sci., 2024)

Estimating Eradication Time and Probability in Stochastic Tumour Models. - Alessandro Borri; Federico Papa; Pasquale Palumbo (IEEE Control. Syst. Lett., 2025)