Tutors

• Enrico Macii
• Santa Di Cataldo

Master of Science

• Bioinformatics. A.A. 2020/21, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Machine learning in applications. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning in applications. A.A. 2022/23, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Machine learning in applications. A.A. 2023/24, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Bioinformatics. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

Bachelor of Science

• Informatica. A.A. 2021/22, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2022/23, INGEGNERIA GESTIONALE. Collaboratore del corso
• Informatica. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso

• Mascolini, Alessio; Gaiardelli, Sebastiano; Ponzio, Francesco; Dall’Ora, Nicola; Macii, ... (In stampa)
  Robotic Arm Dataset (RoAD): a Dataset to Support the Design and Test of Machine Learning-driven Anomaly Detection in a Production Line. In: The 49th Annual Conference of the IEEE Industrial Electronics Society
  Contributo in Atti di Convegno (Proceeding)
• Capogrosso, Luigi; Mascolini, Alessio; Girella, Federico; Skenderi, Geri; Gaiardelli, ... (In stampa)
  Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0. In: Forum on specification & Design Languages
  Contributo in Atti di Convegno (Proceeding)
• Mascolini, Alessio; Ponzio, Francesco; Macii, Enrico; Ficarra, Elisa; Di Cataldo, Santa (2022)
  High Resolution Explanation Maps for CNNs using Segmentation Networks. In: 2022 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), Rome (Italy), 12-16 September 2022, pp. 1-3. ISBN: 978-1-6654-4214-5
  Contributo in Atti di Convegno (Proceeding)
• Mascolini, Alessio; Cardamone, Dario; Ponzio, Francesco; Di Cataldo, Santa; Ficarra, ... (2022)
  Exploiting generative self-supervised learning for the assessment of biological images with lack of annotations. In: BMC BIOINFORMATICS, vol. 23. ISSN 1471-2105
  Contributo su Rivista
• Mieuli, Valerio; Ponzio, Francesco; Mascolini, Alessio; Macii, Enrico; Ficarra, Elisa; ... (2021)
  A Bayesian approach to Expert Gate Incremental Learning. In: 2021 International Joint Conference on Neural Networks (IJCNN), Shenzhen (China), 18-22 July 2021, pp. 1-7. ISBN: 978-1-6654-3900-8
  Contributo in Atti di Convegno (Proceeding)