Sistemi dinamici gradiente per l'apprendimento automatico

Corso di laurea di 1° livello

• Mathematical methods for Computer Science. A.A. 2021/22, INGEGNERIA INFORMATICA (COMPUTER ENGINEERING). Collaboratore del corso
• Metodi matematici per l'ingegneria. A.A. 2021/22, INGEGNERIA INFORMATICA. Collaboratore del corso
• Analisi matematica II. A.A. 2019/20, INGEGNERIA INFORMATICA. Collaboratore del corso
• Analisi matematica II. A.A. 2019/20, INGEGNERIA INFORMATICA. Collaboratore del corso
• Analisi matematica II. A.A. 2020/21, INGEGNERIA INFORMATICA. Collaboratore del corso
• Analisi matematica II. A.A. 2020/21, INGEGNERIA INFORMATICA. Collaboratore del corso
• Analisi matematica II. A.A. 2021/22, INGEGNERIA INFORMATICA. Collaboratore del corso

• Marrone, Francesco; Zoppo, Gianluca; Corinto, Fernando; Gilli, Marco (2022)
  A dynamic system approach to spiking second order memristor networks. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS, vol. 69, pp. 1641-1654. ISSN 1549-8328
  Contributo su Rivista
• Zoppo, G; Marrone, F; Bonnin, M; Corinto, F (2022)
  Computing with Memristor-based Nonlinear Oscillators. In: 2022 IEEE 22nd International Conference on Nanotechnology (NANO), Palma de Mallorca, Spain, 04-08 July 2022, pp. 401-404. ISSN 1944-9399. ISBN: 978-1-6654-5225-0
  Contributo in Atti di Convegno (Proceeding)
• Zoppo, Gianluca; Marrone, Francesco; Bonnin, Michele; Corinto, Fernando (2022)
  Equilibrium Propagation and (Memristor-based) Oscillatory Neural Networks. In: 2022 IEEE International Symposium on Circuits and Systems (ISCAS), Austin, TX, USA, 27 May 2022 - 01 June 2022, pp. 639-643
  Contributo in Atti di Convegno (Proceeding)
• Zoppo, Gianluca (2022)
  Dynamic Neural Networks and Brain-inspired Computing. relatore: CORINTO, FERNANDO; , 34. XXXIV Ciclo, P.: 107
  Doctoral Thesis
• Marrone, F.; Zoppo, G.; Vescovi, L.; Begarani, F.; Palama, A.; Secco, J.; Corinto, F. (2021)
  Automatic Visual Inspection Machine for Pharmaceutical Infusion Bags Implementing Cellular Neural Networks. In: 17th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2021, Catania (Ita), 29 September 2021 - 01 October 2021, pp. 1-4. ISBN: 9781665439480
  Contributo in Atti di Convegno (Proceeding)
• Marrone, Francesco; Zoppo, Gianluca; Corinto, Fernando; Gilli, Marco (2021)
  A dynamic system approach to spiking memristor network investigation. In: 2021 IEEE International Midwest Symposium on Circuits and Systems (MWSCAS), East Lansing - Michigan (USA), 9-11 Agosto, 2021, pp. 1116-1119. ISBN: 1665424621
  Contributo in Atti di Convegno (Proceeding)
• Secco, Jacopo; Corinto, Fernando; Zoppo, Gianluca; Marrone, Francesco (2021)
  SISTEMA PER LA PRODUZIONE DI UN PRODOTTO DISTILLATO. N. brevetto: IT202100021899A1, propr. brevetto: 4 - Soggetti terzi
  Brevetti
• Zoppo, G.; Korkmaz, A.; Marrone, F.; Palermo, S.; Corinto, F.; Williams, R. S. (2021)
  Analog Solutions of Discrete Markov Chains via Memristor Crossbars. In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. I, REGULAR PAPERS, vol. 68, pp. 4910-4923. ISSN 1549-8328
  Contributo su Rivista
• Zoppo, Gianluca; Marrone, Francesco; Pittarello, Monica; Farina, Marco; Uberti, Alberto; ... (2020)
  AI technology for remote clinical assessment and monitoring. In: JOURNAL OF WOUND CARE, vol. 29, pp. 692-706. ISSN 0969-0700
  Contributo su Rivista
• Zoppo, Gianluca; Marrone, Francesco; Corinto, Fernando (2020)
  Equilibrium Propagation for Memristor-Based Recurrent Neural Networks. In: FRONTIERS IN NEUROSCIENCE, vol. 14. ISSN 1662-453X
  Contributo su Rivista
• Marrone, F.; Zoppo, G.; Corinto, F.; Gilli, M. (2020)
  Pattern Characterization in Second Order Memristor Networks. In: 63rd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2020, usa, 2020, pp. 456-459. ISSN 1548-3746. ISBN: 978-1-7281-8058-8
  Contributo in Atti di Convegno (Proceeding)
• Marrone, Francesco; Zoppo, Gianluca; Corinto, Fernando; Gilli, Marco (2019)
  Second Order Memristor Models for Neuromorphic Computing. In: 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS), Dallas (USA), 4-7 Aug. 2019, pp. 315-318. ISBN: 978-1-7281-2788-0
  Contributo in Atti di Convegno (Proceeding)
• Zoppo, G.; Marrone, F.; Corinto, F. (2019)
  A continuous-time learning rule for memristor-based recurrent neural networks. In: 26th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2019, Genova, 2019, pp. 494-497. ISBN: 978-1-7281-0996-1
  Contributo in Atti di Convegno (Proceeding)