Innovative systems for Deep Learning

• Collegio di Ingegneria Elettronica, delle Telecomunicazioni e Fisica. Componente invitato
• Collegio di Ingegneria Informatica, del Cinema e Meccatronica. Componente invitato

Bachelor of Science

• Elettronica applicata. A.A. 2022/23, INGEGNERIA FISICA. Collaboratore del corso

• Lorenzo Nikiforos. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 40, 2024-in progress)
• Elisabetta Spinazzola. Programme in Ingegneria Elettrica, Elettronica E Delle Comunicazioni (cycle 40, 2024-in progress)

• Boretti, Chiara; Bich, Philippe; Pareschi, Fabio; Prono, Luciano; Rovatti, Riccardo; ... (2023)
  PEDRo: an Event-based Dataset for Person Detection in Robotics. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), Vancouver (CA), 17-24 giugno 2023, pp. 4065-4070. ISBN: 979-8-3503-0249-3
  Contributo in Atti di Convegno (Proceeding)
• Marchioni, A.; Prono, L.; Mangia, M.; Pareschi, F.; Rovatti, R.; Setti, G. (2023)
  Streaming Algorithms for Subspace Analysis: Comparative Review and Implementation on IoT Devices. In: IEEE INTERNET OF THINGS JOURNAL, vol. 10, pp. 12798-12810. ISSN 2327-4662
  Contributo su Rivista
• Bich, Philippe; Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; ... (2023)
  Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation. In: 2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS), Tempe, AZ, USA, August 6-9, 2023, pp. 629-633. ISBN: 979-8-3503-0210-3
  Contributo in Atti di Convegno (Proceeding)
• Prono, Luciano (2023)
  Methods and Applications for Low-power Deep Neural Networks on Edge Devices. relatore: SETTI, GIANLUCA; , 35. XXXV Ciclo, P.: 124
  Doctoral Thesis
• Boretti, C.; Prono, L.; Frenkel, C.; Indiveri, G.; Pareschi, F.; Mangia, M.; Rovatti, ... (2023)
  Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units. In: 56th IEEE International Symposium on Circuits and Systems, ISCAS 2023, Monterey, USA, May 21-25, 2023, pp. 1-5. ISBN: 978-1-6654-5109-3
  Contributo in Atti di Convegno (Proceeding)
• Bich, Philippe; Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; ... (2022)
  Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing. In: 2022 IEEE Biomedical Circuits and System Conference (BioCAS2022), Taipei, Taiwan, October 13-15, 2022, pp. 163-167. ISBN: 978-1-6654-6917-3
  Contributo in Atti di Convegno (Proceeding)
• Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca (2022)
  A Non-conventional Sum-and-Max based Neural Network layer for Low Power Classification. In: 2022 International Symposium on Circuits and Systems, Austin, Texas, May 28 - June 1, 2022, pp. 712-716. ISBN: 978-1-6654-8485-5
  Contributo in Atti di Convegno (Proceeding)
• Prono, L.; Marchioni, A.; Mangia, M.; Pareschi, F.; Rovatti, R.; Setti, G. (2021)
  An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction. In: 2021 IEEE Biomedical Circuits and Systems Conference, BioCAS 2021, Berlin, Germany (virtual), Oct. 6-9, 2021, pp. 01-05. ISBN: 978-1-7281-7204-0
  Contributo in Atti di Convegno (Proceeding)
• Paolino, C.; Prono, L.; Pareschi, F.; Mangia, M.; Rovatti, R.; Setti, G. (2020)
  A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC. In: INTEGRATION, vol. 75, pp. 40-51. ISSN 0167-9260
  Contributo su Rivista
• Mangia, M.; Marchioni, A.; Prono, L.; Pareschi, F.; Rovatti, R.; Setti, G. (2020)
  Low-power ECG acquisition by Compressed Sensing with Deep Neural Oracles. In: 2020 IEEE International Conference on Artificial Intelligence Circuits and Systems, AICAS 2020, virtuale, AUGUST 31ST - SEPTEMBER 4TH 2020, pp. 158-162. ISBN: 978-1-7281-4922-6
  Contributo in Atti di Convegno (Proceeding)
• Prono, L.; Mangia, M.; Marchioni, A.; Pareschi, F.; Rovatti, R.; Setti, G. (2020)
  Low-power fixed-point compressed sensing decoder with support oracle. In: 52nd IEEE International Symposium on Circuits and Systems, ISCAS 2020, Seville, Spain (Virtual), 2020. ISBN: 978-1-7281-3320-1
  Contributo in Atti di Convegno (Proceeding)
• Mangia, M.; Prono, L.; Marchioni, A.; Pareschi, F.; Rovatti, R.; Setti, G. (2020)
  Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals. In: IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, vol. 14, pp. 545-557. ISSN 1932-4545
  Contributo su Rivista
• Prono, L.; Mangia, M.; Marchioni, A.; Pareschi, F.; Rovatti, R.; Setti, G. (2020)
  Deep Neural Oracle with Support Identification in the Compressed Domain. In: IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS, vol. 10, pp. 458-468. ISSN 2156-3357
  Contributo su Rivista
• Prono, Luciano; Marchioni, A.; Mangia, M.; Pareschi, F.; Rovatti, R.; Setti, G. (2019)
  A High-level Implementation Framework for Non-Recurrent Artificial Neural Networks on FPGA. In: 15th Conference on Ph.D. Research in Microelectronics and Electronics, PRIME 2019, Lausanne (Switzerland), July 15-18, 2019, pp. 77-80. ISBN: 978-1-7281-3549-6
  Contributo in Atti di Convegno (Proceeding)