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publications

Online Knowledge Distillation and Deep Supervision in HRNet: Green AI for Preterm Infants’ Pose Estimation

Published in ACM Transactions on Computing for Healthcare, 2025

Recommended citation: Alessandro Cacciatore, Daniele Berardini, Vito Scaraggi, Adriano Mancini, Sara Moccia, and Lucia Migliorelli. 2025. Online Knowledge Distillation and Deep Supervision in HRNet: Green AI for Preterm Infants’ Pose Estimation. ACM Trans. Comput. Healthcare Just Accepted (July 2025). https://doi.org/10.1145/3757067
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Towards neurosymbolic network intrusion detection

Published in 2026 IEEE International Conference on Smart Computing Workshops and Other Affiliated events (SmartComp Companion), 2026

Recommended citation: V. Scaraggi, A. Passarella and M. Conti, "Towards neurosymbolic network intrusion detection," 2026 IEEE International Conference on Smart Computing Workshops and Other Affiliated events (SmartComp Companion), Messina, Italy, 2026, pp. 273-278, doi: 10.1109/SmartComp-Companion70724.2026.00063. keywords: {Modeling;Training;Anomaly detection;Printing;Bayes methods;Labeling;Aluminum;Intrusion detection;Vectors;Fluid flow;Intrusion Detection System;Neurosymbolic AI;Open Set Recognition;Bayesian Network}
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talks

teaching

Teaching experience 1

Undergraduate course, University 1, Department, 2014

This is a description of a teaching experience. You can use markdown like any other post.

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Teaching experience 2

Workshop, University 1, Department, 2015

This is a description of a teaching experience. You can use markdown like any other post.

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