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ORCIDFrancesca Cairoli
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2020 – today
- 2024
[c18]Francesca Randone, Romina Doz, Francesca Cairoli, Luca Bortolussi:
Towards a Probabilistic Programming Approach to Analyse Collective Adaptive Systems. ISoLA (1) 2024: 168-185- 2023
- [j4]Fabio Anselmi
, Luca Manzoni, Alberto d'Onofrio, Alex Rodriguez, Giulio Caravagna, Luca Bortolussi, Francesca Cairoli:
Data Symmetries and Learning in Fully Connected Neural Networks. IEEE Access 11: 47282-47290 (2023) - [j3]Francesca Cairoli, Fabio Anselmi, Alberto d'Onofrio, Luca Bortolussi:
Generative abstraction of Markov population processes. Theor. Comput. Sci. 977: 114169 (2023) - [c17]Francesca Cairoli, Nicola Paoletti, Luca Bortolussi:
Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes. HSCC 2023: 1:1-1:11 - [c16]Emanuele Ballarin, Luca Bortolussi, Francesca Cairoli, Chiara Gallese, Laura Nenzi, Gaia Saveri:
Reliable and Explainable AI in Trieste. Ital-IA 2023: 394-396 - [c15]Luca Bortolussi, Francesca Cairoli, Julia Klein, Tatjana Petrov:
Data-Driven Inference of Chemical Reaction Networks via Graph-Based Variational Autoencoders. QEST 2023: 143-147 - [c14]Luca Bortolussi, Francesca Cairoli, Francesco Giacomarra, Davide Scassola:
Model Abstraction and Conditional Sampling with Score-Based Diffusion Models. QEST 2023: 307-310 - [c13]Luca Bortolussi, Francesca Cairoli, Ginevra Carbone, Paolo Pulcini:
Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking. RV 2023: 45-65 - [c12]Francesca Cairoli, Luca Bortolussi, Nicola Paoletti:
Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees. RV 2023: 461-487 - [i6]Francesca Cairoli, Luca Bortolussi, Nicola Paoletti:
Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees. CoRR abs/2312.01959 (2023) - 2022
- [c11]Francesca Cairoli, Nicola Paoletti, Luca Bortolussi:
Neural Predictive Monitoring for Collective Adaptive Systems. ISoLA (3) 2022: 30-46 - [i5]Luca Bortolussi, Francesca Cairoli, Ginevra Carbone, Paolo Pulcini:
Stochastic Variational Smoothed Model Checking. CoRR abs/2205.05398 (2022) - [i4]Francesca Cairoli, Nicola Paoletti, Luca Bortolussi:
Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes. CoRR abs/2211.02375 (2022) - 2021
- [j2]Luca Bortolussi, Francesca Cairoli, Nicola Paoletti, Scott A. Smolka, Scott D. Stoller:
Neural predictive monitoring and a comparison of frequentist and Bayesian approaches. Int. J. Softw. Tools Technol. Transf. 23(4): 615-640 (2021) - [c10]Luca Bortolussi, Francesca Cairoli, Ginevra Carbone, Francesco Franchina, Enrico Regolin:
Adversarial Learning of Robust and Safe Controllers for Cyber-Physical Systems. ADHS 2021: 223-228 - [c9]Francesca Cairoli, Ginevra Carbone, Luca Bortolussi:
Abstraction of Markov Population Dynamics via Generative Adversarial Nets. CMSB 2021: 19-35 - [c8]Francesca Cairoli, Luca Bortolussi, Nicola Paoletti:
Neural Predictive Monitoring Under Partial Observability. RV 2021: 121-141 - [i3]Francesca Cairoli, Ginevra Carbone, Luca Bortolussi:
Abstraction of Markov Population Dynamics via Generative Adversarial Nets. CoRR abs/2106.12981 (2021) - [i2]Francesca Cairoli, Luca Bortolussi, Nicola Paoletti:
Neural Predictive Monitoring under Partial Observability. CoRR abs/2108.07134 (2021) - 2020
- [j1]Francesca Cairoli, Gianfranco Fenu, Felice Andrea Pellegrino, Erica Salvato:
Model Predictive Control of Glucose Concentration Based on Signal Temporal Logic Specifications with Unknown-Meals Occurrence. Cybern. Syst. 51(4): 426-441 (2020) - [c7]Luca Bortolussi, Francesca Cairoli, Ginevra Carbone, Francesco Franchina:
Adversarial Learning of Robust and Safe Controllers for Cyber-Physical Systems. OVERLAY 2020: 77-81 - [c6]Luca Bortolussi, Francesca Cairoli, Nicola Paoletti, Scott A. Smolka, Scott D. Stoller:
Bayesian Neural Predictive Monitoring. OVERLAY 2020: 95-100 - [i1]Luca Bortolussi, Francesca Cairoli, Ginevra Carbone, Francesco Franchina:
Adversarial Learning of Robust and Safe Controllers for Cyber-Physical Systems. CoRR abs/2009.02019 (2020)
2010 – 2019
- 2019
- [c5]Luca Bortolussi, Francesca Cairoli, Nicola Paoletti, Scott D. Stoller:
Conformal Predictions for Hybrid System State Classification. From Reactive Systems to Cyber-Physical Systems 2019: 225-241 - [c4]Francesca Cairoli, Gianfranco Fenu, Felice Andrea Pellegrino:
Clinical Decision Support Using Colored Petri Nets: a Case Study on Cancer Infusion Therapy. CoDIT 2019: 314-319 - [c3]Francesca Cairoli, Gianfranco Fenu, Felice Andrea Pellegrino, Erica Salvato:
Model Predictive Control of glucose concentration based on Signal Temporal Logic specifications. CoDIT 2019: 714-719 - [c2]Luca Bortolussi, Francesca Cairoli:
Bayesian Abstraction of Markov Population Models. QEST 2019: 259-276 - [c1]Luca Bortolussi, Francesca Cairoli, Nicola Paoletti, Scott A. Smolka, Scott D. Stoller:
Neural Predictive Monitoring. RV 2019: 129-147
Coauthor Index
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