Elenco Pubblicazioni - Publications (1673)
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
Written by LORENZO CIMA
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.…
Cima, L., Miaschi, A., Trujillo, A., Avvenuti, M., Dell'Orletta, F., & Cresci, S. (2025, April). Contextualized counterspeech: Strategies for adaptation, personalization, and evaluation. In Proceedings of the ACM on Web Conference 2025
Written by LORENZO CIMA
AI-generated counterspeech offers a promising and scalable strategy to curb online toxicity through direct replies that promote civil discourse. However, current counterspeech is one-size-fits-all, lacking adaptation to the moderation context and the users involved. We…
L Gholami, P Ducange, A Gotta, P Cassara,"Cross-Modal Knowledge Distillation for Path Loss Prediction in Urban mmWave UAV-assisted Networks", ICUMT IEEE Conference, 2025
Written by LADAN GHOLAMI
Accurate path loss (PL) prediction is an essential step for the design and deployment of mmWave UAV-assisted communication networks, especially in urban environments. In this work, we propose a voxel-based 3D Convolutional Neural Network (3D-CNN)…
L Gholami, P Ducange, A Rago, P Cassará, A Gotta, "Explainable Machine Learning for Environment-Aware Channel State Prediction in UAV-Based 6G Networks", WiMob IEEE Conference, 2025
Written by LADAN GHOLAMI
The emergence of 6G networks demands environment-aware communication paradigms to ensure reliable and efficient connectivity, and Channel Knowledge Maps (CKMs) offer a promising solution by mapping spatial locations to detailed channel characteristics for proactive network…
L Gholami, P Ducange, A Gotta, P Cassara,"Leveraging Explainable AI for 3D Geometry-Based Channel Status Prediction in UAV-Assisted Communication Networks",IEEE Open Journal of the Communications Society, 2025
Written by LADAN GHOLAMI
Accurate prediction of receiver state is vital for optimizing network performance in urban settings, where rapid spatial variations in channel conditions pose significant challenges to communication quality. This paper presents a Machine Learning-based framework for…
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- MODIFICA DATE CORSO - Prof. Martina Brofiga, University of Genova - Italy, "Innovations in In vitro Neuronal Engineering: bridging biology and technology", 22-30 September 2025
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- MODIFICA AULA - Assistant Professor Xiaomeng Li, Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong SAR, "Deep Learning for Medical Image Analysis", 21-23, 28 July 2025
