Gabriele Ciravegna

Corso di laurea magistrale

• Machine learning for networking. A.A. 2024/25, CYBERSECURITY. Collaboratore del corso
• Explainable and trustworthy AI. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning for networking. A.A. 2023/24, COMMUNICATIONS ENGINEERING. Collaboratore del corso
• Explainable and trustworthy AI. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso

Corso di laurea di 1° livello

• Dati, algoritmi e le frontiere dell'informatica - Intraprendenti. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

• DBDM - Database and Data Mining Group (DAUIN)

• De Santis, Francesco; Bich, Philippe; Ciravegna, Gabriele; Barbiero, Pietro; Giordano, ... (2025)
  Linearly-interpretable concept embedding models for text analysis. In: MACHINE LEARNING, vol. 114. ISSN 0885-6125
  Contributo su Rivista
• Liu, Qingqing; Ciravegna, Gabriele; Koudounas, Alkis; Cerquitelli, Tania; Baralis, Elena (2025)
  Multimodal Fusion Techniques to Enhance Voice Disorder Diagnoses. In: Workshops of the EDBT/ICDT 2025 Joint Conference, DARLI-AP Workshop, Barcelona (ESP), 25-28 March, 2025. ISSN 1613-0073
  Contributo in Atti di Convegno (Proceeding)
• Betti, Alessandro; Ciravegna, Gabriele; Gori, Marco; Melacci, Stefano; Mottin, Kevin; ... (2024)
  A new perspective on optimizers: leveraging moreau-yosida approximation in gradient-based learning. In: INTELLIGENZA ARTIFICIALE, vol. 18, pp. 301-311. ISSN 1724-8035
  Contributo su Rivista
• Fantini, Marco; Ciravegna, Gabriele; Koudounas, Alkis; Cerquitelli, Tania; Baralis, ... (2024)
  The Rapidly Evolving Scenario of Acoustic Voice Analysis in Otolaryngology. In: CUREUS, vol. 16. ISSN 2168-8184
  Contributo su Rivista
• Zarlenga, M. E.; Barbiero, P.; Ciravegna, G.; Marra, G.; Giannini, F.; Diligenti, M.; ... (2022)
  Concept Embedding Models: Beyond the Accuracy-Explainability Trade-Off. In: 36th Conference on Neural Information Processing Systems, NeurIPS 2022, New Orleans (USA), November 28th- December 9th, 2022. ISSN 1049-5258. ISBN: 9781713871088
  Contributo in Atti di Convegno (Proceeding)