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Elenco Pubblicazioni - Publications (1677)

L. A. Hattouti,…, R. Di Dio, et al, “Unscented Kalman Filter based Coestimation of SoC and SoH in Lithium Battery with Hysteresis”, 2023 ISIE

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Lithium iron phosphate batteries are the most promising energy storage systems for automotive applications thanks to their low cost, good energy density and high safety. However, they exhibit a pronounced hysteresis between charge and discharge…
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Di Dio, R.; Di Rienzo, R.; Aurilio, G.; Cavaliere, D.; Saletti, R. "Advanced Algorithm for SOC, Internal Resistance, and SOH Co-Estimation of Lithium-Titanate-Oxide Batteries Using Neural Networks". Batteries 2025, 11, 235.

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Lithium-titanate-oxide batteries can reduce the long charging time of electric vehicles by offering fast charging capabilities. However, high charging currents require an accurate estimation of battery internal state to prevent early aging of the battery…
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Tessa, B., Cima, L., Trujillo, A., Avvenuti, M., & Cresci, S. (2024). Beyond trial-and-error: Predicting user abandonment after a moderation intervention. Engineering Applications of Artificial intelligence.

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Current content moderation follows a reactive, trial-and-error approach, where interventions are applied and their effects are only measured post-hoc. In contrast, we introduce a proactive, predictive approach that enables moderators to anticipate the impact of…
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Cima, L., Tessa, B., Trujillo, A., Cresci, S., & Avvenuti, M. (2025). Investigating the heterogeneous effects of a massive content moderation intervention via Difference-in-Differences. Online Social Networks and Media, 48, 100320.

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In today's online environments, users encounter harm and abuse on a daily basis. Therefore, content moderation is crucial to ensure their safety and well-being. However, the effectiveness of many moderation interventions is still uncertain. Here,…
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Giorgi, T., Cima, L., Fagni, T., Avvenuti, M., & Cresci, S. Human and LLM biases in hate speech annotations: A socio-demographic analysis of annotators and targets. In Proceedings of the International AAAI Conference on Web and Social Media

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The rise of online platforms exacerbated the spread of hate speech, demanding scalable and effective detection. However, the accuracy of hate speech detection systems heavily relies on human-labeled data, which is inherently susceptible to biases.…
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