Sara Narteni - researchr alias

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Viewing Publication 1 - 23 from 23

2026

A novel score function for conformal prediction in rule-based binary classificationSara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli. PR, 171:112219, 2026. [doi]

2025

Explainable evaluation of generative adversarial networks for wearables data augmentationSara Narteni, Vanessa Orani, Enrico Ferrari, Damiano Verda, Enrico Cambiaso, Maurizio Mongelli. eaai, 145:110133, 2025. [doi]

Physics-Aware Conformal Prediction for Deep Learning-based Wheelchair Local NavigationSara Narteni, Alberto Carlevaro, Zeming Duan, Serge Autexier, Maurizio Mongelli. copa 2025: 778-780 [doi]

2024

Rule-Based Out-of-Distribution DetectionGiacomo De Bernardi, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli. tai, 5(6):2627-2637, June 2024. [doi]

Advancements on IoT and AI applied to PneumologyEnrico Cambiaso, Sara Narteni, Ilaria Baiardini, Fulvio Braido, Alessia Paglialonga, Maurizio Mongelli. mam, 108:105062, 2024. [doi]

A probabilistic scaling approach to conformal predictions in binary image classificationAlberto Carlevaro, Sara Narteni, Fabrizio Dabbene, Teodoro Alamo, Maurizio Mongelli. copa 2024: 28-43 [doi]

Ensuring Safe Social Navigation via Explainable Probabilistic and Conformal Safety RegionsSara Narteni, Alberto Carlevaro, Jérôme Guzzi, Maurizio Mongelli. xai 2024: 396-417 [doi]

Application of the Representative Measure Approach to Assess the Reliability of Decision Trees in Dealing with Unseen Vehicle Collision DataJavier Perera-Lago, Víctor Toscano-Durán, Eduardo Paluzo-Hidalgo, Sara Narteni, Matteo Rucco. xai 2024: 384-395 [doi]

2023

2022

A New XAI-based Evaluation of Generative Adversarial Networks for IMU Data AugmentationSara Narteni, Vanessa Orani, Enrico Ferrari, Damiano Verda, Enrico Cambiaso, Maurizio Mongelli. healthcom 2022: 167-172 [doi]

Bag-of-Words Similarity in eXplainable AISara Narteni, Melissa Ferretti, Vittorio Rampa, Maurizio Mongelli. intellisys 2023: 835-851 [doi]

On the Intersection of Explainable and Reliable AI for Physical Fatigue PredictionSara Narteni, Vanessa Orani, Enrico Cambiaso, Matteo Rucco, Maurizio Mongelli. access, 10:76243-76260, 2022. [doi]

Sensitivity of Logic Learning Machine for Reliability in Safety-Critical SystemsSara Narteni, Vanessa Orani, Ivan Vaccari, Enrico Cambiaso, Maurizio Mongelli. expert, 37(5):66-74, 2022. [doi]

On The Detection Of Adversarial Attacks Through Reliable AIIvan Vaccari, Alberto Carlevaro, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli. infocom 2022: 1-6 [doi]

eXplainable and Reliable Against Adversarial Machine Learning in Data AnalyticsIvan Vaccari, Alberto Carlevaro, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli. access, 10:83949-83970, 2022. [doi]

2021

On the Feasibility of Covert Channels through Short-Message-ServiceSara Narteni, Ivan Vaccari, Maurizio Mongelli, Maurizio Aiello, Enrico Cambiaso. itasec 2021: 23-34 [doi]

From Explainable to Reliable Artificial IntelligenceSara Narteni, Melissa Ferretti, Vanessa Orani, Ivan Vaccari, Enrico Cambiaso, Maurizio Mongelli. cdmake 2021: 255-273 [doi]

Evaluating the Possibility to Perpetrate Tunneling Attacks Exploiting Short-Message-ServiceSara Narteni, Ivan Vaccari, Maurizio Mongelli, Maurizio Aiello, Enrico Cambiaso. jisis, 11(3):30-46, 2021. [doi]

Perpetrate Cyber-threats using IoT Devices as Attack Vector: The ESP8266 Use CaseIvan Vaccari, Sara Narteni, Maurizio Mongelli, Maurizio Aiello, Enrico Cambiaso. itasec 2021: 35-46 [doi]

Exploiting Internet of Things Protocols for Malicious Data Exfiltration ActivitiesIvan Vaccari, Sara Narteni, Maurizio Aiello, Maurizio Mongelli, Enrico Cambiaso. access, 9:104261-104280, 2021. [doi]

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