NARTENI, SARA

NARTENI, SARA  

Dipartimento di Automatica e Informatica  

091482  

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Risultati 1 - 9 di 9 (tempo di esecuzione: 0.002 secondi).
Citazione Data di pubblicazione Autori File
A probabilistic scaling approach to conformal predictions in binary image classification / Carlevaro, A., Narteni, S., Dabbene, F., Alamo, T., Mongelli, M.. - ELETTRONICO. - 230:(2024), pp. 28-43. (The 13th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2024) Milano 9-11 September 2024). 1-gen-2024 Sara NarteniFabrizio Dabbene + COPA_2024_published.pdfCOPA_2024.pdf
Application of the Representative Measure Approach to Assess the Reliability of Decision Trees in Dealing with Unseen Vehicle Collision Data / Perera-Lago, J., Toscano-Duran, V., Paluzo-Hidalgo, E., Narteni, S., Rucco, M.. - 2156:(2024), pp. 384-395. (The 2nd world conference on eXplainable Artificial Intelligence (xAI 2024) La Valletta (Malta) 17-19 July 2024) [10.1007/978-3-031-63803-9_21]. 1-gen-2024 Sara Narteni + xAI2024_published_seville.pdfXAI24_RepDecisionTrees (2).pdf
Ensuring Safe Social Navigation via Explainable Probabilistic and Conformal Safety Regions / Narteni, S., Carlevaro, A., Guzzi, J., Mongelli, M.. - 2156:(2024), pp. 396-417. (The 2nd world conference on eXplainable Artificial Intelligence (xAI 2024) La Valletta (Malta) 17-19 July 2024) [10.1007/978-3-031-63803-9_22]. 1-gen-2024 Sara Narteni + Ensuring Safe Social Navigation via Explainable Probabilistic and Conformal Safety Regions.pdfxAI2024_published_nostro.pdf
Bag-of-Words Similarity in eXplainable AI / Narteni, S., Ferretti, M., Rampa, V., Mongelli, M.. - 543:(2023), pp. 835-851. (Intelligent Systems Conference (IntelliSys) 2022 Amsterdam (The Netherlands) 01-02 september 2022) [10.1007/978-3-031-16078-3_58]. 1-gen-2023 Narteni, Sara + IntelliSys2022_BoW_final.pdf517997_1_En_58_Chapter_OnlinePDF.pdf
CONFIDERAI: CONFormal Interpretable-by-Design score function for Explainable and Reliable Artificial Intelligence / Narteni, S., Carlevaro, A., Muselli, M., Dabbene, F., Mongelli, M.. - ELETTRONICO. - 204:(2023), pp. 485-487. (The 12th Symposium on Conformal and Probabilistic Prediction with Applications (COPA 2023) Limassol (CY) 13-15 September 2023). 1-gen-2023 Narteni, SaraDabbene, Fabrizio + narteni23a.pdf
Weighted Mutual Information for Out-Of-Distribution Detection / De Bernardi, G., Narteni, S., Cambiaso, E., Muselli, M., Mongelli, M.. - 1903:(2023), pp. 318-331. (First World Conference on eXplainable Artificial Intelligence (xAI 2023) Lisbon (Portugal) 26-28 July 2023) [10.1007/978-3-031-44070-0_16]. 1-gen-2023 Sara Narteni + OOD_Detection_Conference.pdfWeightedMI_ODD_published.pdf
A New XAI-based Evaluation of Generative Adversarial Networks for IMU Data Augmentation / Narteni, S., Orani, V., Ferrari, E., Verda, D., Cambiaso, E., Mongelli, M.. - (2022), pp. 167-172. (IEEE International Conference on E-health Networking, Application & Services (IEEE Healthcom 2022) Genoa (Italy) 17-19 October 2022) [10.1109/HealthCom54947.2022.9982780]. 1-gen-2022 Narteni, Sara + A_New_XAI-based_Evaluation_of_Generative_Adversarial_Networks_for_IMU_Data_Augmentation.pdfHealthCom22_RuleSimilarity.pdf
On The Detection Of Adversarial Attacks Through Reliable AI / Vaccari, I., Carlevaro, A., Narteni, S., Cambiaso, E., Mongelli, M.. - ELETTRONICO. - (2022), pp. 1-6. (IEEE INFOCOM 2022 - IEEE Conference on Computer Communications New York (USA) 02-05 May 2022) [10.1109/INFOCOMWKSHPS54753.2022.9797955]. 1-gen-2022 Narteni, Sara + On_The_Detection_Of_Adversarial_Attacks_Through_Reliable_AI.pdfInfocom_Adversarial.pdf
From Explainable to Reliable Artificial Intelligence / Narteni, S., Ferretti, M., Orani, V., Vaccari, I., Cambiaso, Enrico., Mongelli, M.. - ELETTRONICO. - 12844:(2021), pp. 255-273. (Machine Learning and Knowledge Extraction 5th IFIP TC 5, TC 12, WG 8.4, WG 8.9, WG 12.9 International Cross-Domain Conference, CD-MAKE 2021 2021) [10.1007/978-3-030-84060-0_17]. 1-gen-2021 Narteni, Sara + Narteni2021_Chapter_FromExplainableToReliableArtif.pdfFrom_explainable_to_reliable_CDMAKE_final.pdf