Alessio Mascolini

Titolo della tesi

Generative modelling for improved decision making in data-limited applications

Tutori

• Enrico Macii
• Santa Di Cataldo

Corso di laurea magistrale

• Machine learning in applications. A.A. 2024/25, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Challenge@PoliTo by Students - CTE NEXT Digital Twin. A.A. 2023/24, INGEGNERIA GESTIONALE (ENGINEERING AND MANAGEMENT). Collaboratore del corso
• Machine learning in applications. A.A. 2023/24, 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. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Bioinformatics. A.A. 2020/21, INGEGNERIA ELETTRONICA (ELECTRONIC ENGINEERING). Collaboratore del corso
• Bioinformatics. A.A. 2020/21, DATA SCIENCE AND ENGINEERING. Collaboratore del corso

Corso di laurea di 1° livello

• Informatica. A.A. 2024/25, INGEGNERIA AEROSPAZIALE. Collaboratore del corso
• Informatica. A.A. 2023/24, INGEGNERIA GESTIONALE. Collaboratore del corso
• Informatica. A.A. 2022/23, INGEGNERIA GESTIONALE. Collaboratore del corso
• Informatica. A.A. 2021/22, INGEGNERIA AEROSPAZIALE. Collaboratore del corso

• 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)
• Alamin, KHALED SIDAHMED SIDAHMED; Appello, Davide; Beghi, Alessandro; Dall’Ora, Nicola; ... (2024)
  An AI-Enabled Framework for Smart Semiconductor Manufacturing. In: Design, Automation and Test in Europe Conference (DATE 2024), Valencia (Spain), 25 - 27 March 2024. ISBN: 978-3-9819263-8-5
  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)