Master of Science

• Challenge@PoliTo by Students - CTE NEXT Digital Twin. A.A. 2023/24, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
• 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
• Machine learning in applications. A.A. 2024/25, 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. 2024/25, 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 (2025)
  Generative modelling for improved decision making in data-limited applications. relatore: MACII, Enrico; DI CATALDO, SANTA; , 37. XXXVII Ciclo, P.: 127
  Doctoral Thesis
• Mascolini, Alessio; Gaiardelli, Sebastiano; Ponzio, Francesco; Dall’Ora, Nicola; Macii, ... (2024)
  VARADE: a Variational-based AutoRegressive model for Anomaly Detection on the Edge. In: DAC '24: 61st ACM/IEEE Design Automation Conference, San Francisco (USA), June 23-27, 2024. ISBN: 979-8-4007-0601-1
  Contributo in Atti di Convegno (Proceeding)
• Capogrosso, Luigi; Mascolini, Alessio; Girella, Federico; Skenderi, Geri; Gaiardelli, ... (2023)
  Neuro-symbolic Empowered Denoising Diffusion Probabilistic Models for Real-time Anomaly Detection in Industry 4.0. In: Forum on specification & Design Languages, Turin, Italy, 13-15 September 2023, pp. 1-4. ISBN: 979-8-3503-0737-5
  Contributo in Atti di Convegno (Proceeding)
• Mascolini, Alessio; Gaiardelli, Sebastiano; Ponzio, Francesco; Dall’Ora, Nicola; Macii, ... (2023)
  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, Singapore, Singapore, 16-19 October 2023
  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
• Mascolini, A.; Niazi, I. K.; Mesin, L. (2022)
  Non-linear optimized spatial filter for single-trial identification of movement related cortical potential. In: BIOCYBERNETICS AND BIOMEDICAL ENGINEERING, vol. 42, pp. 426-436. ISSN 0208-5216
  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)
• Mascolini, Alessio; Puzzo, S.; Incatasciato, G.; Ponzio, F.; Ficarra, E.; Di Cataldo, S. (2021)
  A Novel Proof-of-concept Framework for the Exploitation of ConvNets on Whole Slide Images. In: Progresses in Artificial Intelligence and Neural Systems. Smart Innovation, Systems and Technologies / Esposito A., Faundez-Zanuy M., Morabito F.C., Pasero E., Singapore, Springer, Singapore, pp. 125-136. ISBN: 978-981-15-5093-5
  Contributo in Volume