Sara Narteni

29 papers C 2Journal 16Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
A novel score function for conformal prediction in rule-based binary classification.
Pattern Recognit.
Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
2025 J jnl
Explainable evaluation of generative adversarial networks for wearables data augmentation.
Eng. Appl. Artif. Intell.
Sara Narteni, Vanessa Orani, Enrico Ferrari, Damiano Verda, Enrico Cambiaso, Maurizio Mongelli
2025 — conf
Physics-Aware Conformal Prediction for Deep Learning-based Wheelchair Local Navigation.
COPA
Sara Narteni, Alberto Carlevaro, Zeming Duan, Serge Autexier, Maurizio Mongelli
2025 — conf
Safe and Efficient Social Navigation Through Explainable Safety Regions Based on Topological Features.
xAI (2)
Víctor Toscano-Durán, Sara Narteni, Alberto Carlevaro, Jérôme Guzzi, Rocío González-Díaz, Maurizio Mongelli
2025 J jnl
Safe and Efficient Social Navigation through Explainable Safety Regions Based on Topological Features.
CoRR
Víctor Toscano-Durán, Sara Narteni, Alberto Carlevaro, Rocío González-Díaz, Maurizio Mongelli, Jerome Guzzi
2025 J jnl
Uniform Manifold Approximation and Projection Filtering and Explainable Artificial Intelligence to Detect Adversarial Machine Learning.
Inf.
Achmed Samuel Koroma, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli
2024 — conf
A probabilistic scaling approach to conformal predictions in binary image classification.
COPA
Alberto Carlevaro, Sara Narteni, Fabrizio Dabbene, Teodoro Alamo, Maurizio Mongelli
2024 J jnl
Advancements on IoT and AI applied to Pneumology.
Microprocess. Microsystems
Enrico Cambiaso, Sara Narteni, Ilaria Baiardini, Fulvio Braido, Alessia Paglialonga, Maurizio Mongelli
2024 — conf
Application of the Representative Measure Approach to Assess the Reliability of Decision Trees in Dealing with Unseen Vehicle Collision Data.
xAI (4)
Javier Perera-Lago, Víctor Toscano-Durán, Eduardo Paluzo-Hidalgo, Sara Narteni, Matteo Rucco
2024 J jnl
Application of the representative measure approach to assess the reliability of decision trees in dealing with unseen vehicle collision data.
CoRR
Javier Perera-Lago, Víctor Toscano-Durán, Eduardo Paluzo-Hidalgo, Sara Narteni, Matteo Rucco
2024 — conf
Ensuring Safe Social Navigation via Explainable Probabilistic and Conformal Safety Regions.
xAI (4)
Sara Narteni, Alberto Carlevaro, Jérôme Guzzi, Maurizio Mongelli
2024 J jnl
Rule-Based Out-of-Distribution Detection.
IEEE Trans. Artif. Intell.
Giacomo De Bernardi, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli
2023 — conf
CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence.
COPA
Sara Narteni, Alberto Carlevaro, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
2023 J jnl
CONFIDERAI: a novel CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence.
CoRR
Alberto Carlevaro, Sara Narteni, Fabrizio Dabbene, Marco Muselli, Maurizio Mongelli
2023 J jnl
Dual-View Single-Shot Multibox Detector at Urban Intersections: Settings and Performance Evaluation.
Sensors
Marta Lenatti, Sara Narteni, Alessia Paglialonga, Vittorio Rampa, Maurizio Mongelli
2023 J jnl
Rule-based Out-Of-Distribution Detection.
CoRR
Giacomo De Bernardi, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli
2023 J jnl
Trustworthy artificial intelligence classification-based equivalent bandwidth control.
Comput. Commun.
Sara Narteni, Marco Muselli, Fabrizio Dabbene, Maurizio Mongelli
2023 — conf
Weighted Mutual Information for Out-Of-Distribution Detection.
xAI (3)
Giacomo De Bernardi, Sara Narteni, Enrico Cambiaso, Marco Muselli, Maurizio Mongelli
2022 C conf
A New XAI-based Evaluation of Generative Adversarial Networks for IMU Data Augmentation.
HealthCom
Sara Narteni, Vanessa Orani, Enrico Ferrari, Damiano Verda, Enrico Cambiaso, Maurizio Mongelli
2022 — conf
Bag-of-Words Similarity in eXplainable AI.
IntelliSys (2)
Sara Narteni, Melissa Ferretti, Vittorio Rampa, Maurizio Mongelli
2022 — conf
On The Detection Of Adversarial Attacks Through Reliable AI.
INFOCOM Workshops
Ivan Vaccari, Alberto Carlevaro, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli
2022 J jnl
On the Intersection of Explainable and Reliable AI for Physical Fatigue Prediction.
IEEE Access
Sara Narteni, Vanessa Orani, Enrico Cambiaso, Matteo Rucco, Maurizio Mongelli
2022 J jnl
Sensitivity of Logic Learning Machine for Reliability in Safety-Critical Systems.
IEEE Intell. Syst.
Sara Narteni, Vanessa Orani, Ivan Vaccari, Enrico Cambiaso, Maurizio Mongelli
2022 J jnl
eXplainable and Reliable Against Adversarial Machine Learning in Data Analytics.
IEEE Access
Ivan Vaccari, Alberto Carlevaro, Sara Narteni, Enrico Cambiaso, Maurizio Mongelli
2021 J jnl
Evaluating the Possibility to Perpetrate Tunneling Attacks Exploiting Short-Message-Service.
J. Internet Serv. Inf. Secur.
Sara Narteni, Ivan Vaccari, Maurizio Mongelli, Maurizio Aiello, Enrico Cambiaso
2021 J jnl
Exploiting Internet of Things Protocols for Malicious Data Exfiltration Activities.
IEEE Access
Ivan Vaccari, Sara Narteni, Maurizio Aiello, Maurizio Mongelli, Enrico Cambiaso
2021 C conf
From Explainable to Reliable Artificial Intelligence.
CD-MAKE
Sara Narteni, Melissa Ferretti, Vanessa Orani, Ivan Vaccari, Enrico Cambiaso, Maurizio Mongelli
2021 — conf
On the Feasibility of Covert Channels through Short-Message-Service.
ITASEC
Sara Narteni, Ivan Vaccari, Maurizio Mongelli, Maurizio Aiello, Enrico Cambiaso
2021 — conf
Perpetrate Cyber-threats using IoT Devices as Attack Vector: The ESP8266 Use Case.
ITASEC
Ivan Vaccari, Sara Narteni, Maurizio Mongelli, Maurizio Aiello, Enrico Cambiaso