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Publication search results
found 95 matches
- 2024
- Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti, Alessandro Abate, Marta Kwiatkowska:
Probabilistic reach-avoid for Bayesian neural networks. Artif. Intell. 334: 104132 (2024) - Silvia Demuru, Hui Chai-Gao, Yevhen Shynkarenko, Nicola Hermann, Patricia-Daiana Boia, Peter Cristofolini, Bradley Petkus, Silvia Generelli, Samantha Paoletti, Stefano Cattaneo, Loïc Burr:
Point-of-Care Fluorescence Biosensing System for Rapid Multi-Allergen Screening. Sensors 24(11): 3280 (2024) - Veena Krish, Nicola Paoletti, Milad Kazemi, Scott A. Smolka, Amir Rahmati:
Biosignal Authentication Considered Harmful Today. USENIX Security Symposium 2024 - Milad Kazemi, Jessica Lally, Ekaterina Tishchenko, Hana Chockler, Nicola Paoletti:
Counterfactual Influence in Markov Decision Processes. CoRR abs/2402.08514 (2024) - Tom Kuipers, Renukanandan Tumu, Shuo Yang, Milad Kazemi, Rahul Mangharam, Nicola Paoletti:
Conformal Off-Policy Prediction for Multi-Agent Systems. CoRR abs/2403.16871 (2024) - Linus Jeary, Tom Kuipers, Mehran Hosseini, Nicola Paoletti:
Verifiably Robust Conformal Prediction. CoRR abs/2405.18942 (2024) - 2023
- Veena Krish, Nicola Paoletti, Scott A. Smolka, Amir Rahmati:
Synthesizing Pareto-Optimal Signal-Injection Attacks on ICDs. IEEE Access 11: 4992-5003 (2023) - Michele Paoletti, Marco Pellegrini, Alberto Belli, Paola Pierleoni, Francesca Sini, Nicola Pezzotta, Lorenzo Palma:
Discharge Monitoring in Open-Channels: An Operational Rating Curve Management Tool. Sensors 23(4): 2035 (2023) - Francesca Cairoli, Nicola Paoletti, Luca Bortolussi:
Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes. HSCC 2023: 1:1-1:11 - Hongkai Chen, Scott A. Smolka, Nicola Paoletti, Shan Lin:
An STL-based Approach to Resilient Control for Cyber-Physical Systems. HSCC 2023: 2:1-2:12 - Francesca Cairoli, Luca Bortolussi, Nicola Paoletti:
Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees. RV 2023: 461-487 - Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti, Alessandro Abate, Marta Kwiatkowska:
Probabilistic Reach-Avoid for Bayesian Neural Networks. CoRR abs/2310.01951 (2023) - Francesca Cairoli, Luca Bortolussi, Nicola Paoletti:
Learning-Based Approaches to Predictive Monitoring with Conformal Statistical Guarantees. CoRR abs/2312.01959 (2023) - 2022
- Pallavi Bagga, Nicola Paoletti, Kostas Stathis:
Deep Learnable Strategy Templates for Multi-Issue Bilateral Negotiation. AAMAS 2022: 1533-1535 - Hongkai Chen, Shan Lin, Scott A. Smolka, Nicola Paoletti:
An STL-Based Formulation of Resilience in Cyber-Physical Systems. FORMATS 2022: 117-135 - Francesca Cairoli, Nicola Paoletti, Luca Bortolussi:
Neural Predictive Monitoring for Collective Adaptive Systems. ISoLA (3) 2022: 30-46 - Pallavi Bagga, Nicola Paoletti, Kostas Stathis:
Deep Learnable Strategy Templates for Multi-Issue Bilateral Negotiation. CoRR abs/2201.02455 (2022) - Hongkai Chen, Shan Lin, Scott A. Smolka, Nicola Paoletti:
An STL-based Formulation of Resilience in Cyber-Physical Systems. CoRR abs/2205.03961 (2022) - Francesca Cairoli, Nicola Paoletti, Luca Bortolussi:
Conformal Quantitative Predictive Monitoring of STL Requirements for Stochastic Processes. CoRR abs/2211.02375 (2022) - Hongkai Chen, Scott A. Smolka, Nicola Paoletti, Shan Lin:
An STL-based Approach to Resilient Control for Cyber-Physical Systems. CoRR abs/2211.02794 (2022) - Milad Kazemi, Nicola Paoletti:
Towards Causal Temporal Reasoning for Markov Decision Processes. CoRR abs/2212.08712 (2022) - 2021
- Pallavi Bagga, Nicola Paoletti, Bedour Alrayes, Kostas Stathis:
ANEGMA: an automated negotiation model for e-markets. Auton. Agents Multi Agent Syst. 35(2): 27 (2021) - 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) - Ruben Vasallo González, Antonio Robles-Gómez, Rafael Pastor Vargas, Juan Mario Haut, Nicolás A. Passadore, Mercedes Eugenia Paoletti, Carlos Luis Sánchez-Bocanegra, Llanos Tobarra, Karla A. Chacón-Vargas, Roberto Hernández Berlinches, Francesc Saigí Rubió:
A Recommendation System for Electronic Health Records in the Context of the HOPE Project. CBMS 2021: 603-608 - Hongkai Chen, Nicola Paoletti, Scott A. Smolka, Shan Lin:
MPC-guided Imitation Learning of Bayesian Neural Network Policies for the Artificial Pancreas. CDC 2021: 2525-2532 - Pallavi Bagga, Nicola Paoletti, Kostas Stathis:
Pareto Bid Estimation for Multi-Issue Bilateral Negotiation under User Preference Uncertainty. FUZZ-IEEE 2021: 1-6 - Emanuele La Malfa, Rhiannon Michelmore, Agnieszka M. Zbrzezny, Nicola Paoletti, Marta Kwiatkowska:
On Guaranteed Optimal Robust Explanations for NLP Models. IJCAI 2021: 2658-2665 - Francesca Cairoli, Luca Bortolussi, Nicola Paoletti:
Neural Predictive Monitoring Under Partial Observability. RV 2021: 121-141 - Matthew Wicker, Luca Laurenti, Andrea Patane, Nicola Paoletti, Alessandro Abate, Marta Kwiatkowska:
Certification of iterative predictions in Bayesian neural networks. UAI 2021: 1713-1723 - Emanuele La Malfa, Agnieszka Zbrzezny, Rhiannon Michelmore, Nicola Paoletti, Marta Kwiatkowska:
On Guaranteed Optimal Robust Explanations for NLP Models. CoRR abs/2105.03640 (2021)
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