Archivio Istituzionale della RicercaPRONO, LUCIANO
PRONO, LUCIANO
Dipartimento di Elettronica e Telecomunicazioni
033318
MESA: A Dynamical Attention-based Pre-processing Pipeline for High-throughput Event-based Computer Vision Tasks
In corso di stampa Bich, Philippe; Prono, Luciano; Boretti, Chiara; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca
A Multiply-And-Max/Min Neuron Paradigm for Aggressively Prunable Deep Neural Networks
2025 Prono, Luciano; Bich, Philippe; Boretti, Chiara; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca
A simple approach to ECG Motion Artifacts Reduction by MDWD Coefficients Removal
2025 Spinazzola, Elisabetta; Prono, Luciano; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca
AI-Based Optimization of a DC-DC Buck Converter Control Network Across DCM and CCM Operating Region
2025 Nikiforos, Lorenzo; Gabriele, Giuseppe; Gabriele, Francesco; Prono, Luciano; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca
On the Universal Approximation Properties of Deep Neural Networks Using MAM Neurons
2025 Bich, Philippe; Enttsel, Andriy; Prono, Luciano; Marchioni, Alex; Pareschi, Fabio; Mangia, Mauro; Setti, Gianluca; Rovatti, Riccardo
Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator
2024 Linares-Barranco, Alejandro; Prono, Luciano; Lengenstein, Robert; Indiveri, Giacomo; Frenkel, Charlotte
Event-Based Eye Tracking. AIS 2024 Challenge Survey
2024 Wang, Zuowen; Gao, Chang; Wu, Zongwei; Conde, Marcos V.; Timofte, Radu; Liu, Shih-Chii; Chen, Qinyu; Zha, Zheng-jun; Zhai, Wei; Han, Han; Liao, Bohao; Wu, Yuliang; Wan, Zengyu; Wang, Zhong; Cao, Yang; Tan, Ganchao; Chen, Jinze; Pei, Yan Ru; Brüers, Sasskia; Crouzet, Sébastien; Mclelland, Douglas; Coenen, Oliver; Zhang, Baoheng; Gao, Yizhao; Li, Jingyuan; So, Hayden Kwok-Hay; Bich, Philippe; Boretti, Chiara; Prono, Luciano; Lică, Mircea; Dinucu-Jianu, David; Grîu, Cătălin; Lin, Xiaopeng; Ren, Hongwei; Cheng, Bojun; Zhang, Xinan; Vial, Valentin; Yezzi, Anthony; Tsai, James
Memory in Motion: Exploring Leaky Integration of Time Surfaces for Event-based Eye-tracking
2024 Boretti, Chiara; Bich, Philippe; Prono, Luciano; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca
Optimizing Vision Transformers: Leveraging Max and Min Operations for Efficient Pruning
2024 Bich, P.; Boretti, C.; Prono, L.; Pareschi, F.; Rovatti, R.; Setti, G.
Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units
2023 Boretti, C.; Prono, L.; Frenkel, C.; Indiveri, G.; Pareschi, F.; Mangia, M.; Rovatti, R.; Setti, G.
Methods and Applications for Low-power Deep Neural Networks on Edge Devices
2023 Prono, Luciano
Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation
2023 Bich, Philippe; Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca
PEDRo: an Event-based Dataset for Person Detection in Robotics
2023 Boretti, Chiara; Bich, Philippe; Pareschi, Fabio; Prono, Luciano; Rovatti, Riccardo; Setti, Gianluca
Streaming Algorithms for Subspace Analysis: Comparative Review and Implementation on IoT Devices
2023 Marchioni, A.; Prono, L.; Mangia, M.; Pareschi, F.; Rovatti, R.; Setti, G.
A Non-conventional Sum-and-Max based Neural Network layer for Low Power Classification
2022 Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca
Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing
2022 Bich, Philippe; Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca
An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction
2021 Prono, L.; Marchioni, A.; Mangia, M.; Pareschi, F.; Rovatti, R.; Setti, G.
A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC
2020 Paolino, C.; Prono, L.; Pareschi, F.; Mangia, M.; Rovatti, R.; Setti, G.
Deep Neural Oracle with Support Identification in the Compressed Domain
2020 Prono, L.; Mangia, M.; Marchioni, A.; Pareschi, F.; Rovatti, R.; Setti, G.
Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals
2020 Mangia, M.; Prono, L.; Marchioni, A.; Pareschi, F.; Rovatti, R.; Setti, G.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| MESA: A Dynamical Attention-based Pre-processing Pipeline for High-throughput Event-based Computer Vision Tasks / Bich, Philippe; Prono, Luciano; Boretti, Chiara; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca. - In: IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS. II, EXPRESS BRIEFS. - ISSN 1549-7747. - STAMPA. - (In corso di stampa). | In corso di stampa | Philippe BichLuciano PronoChiara BorettiFabio PareschiGianluca Setti + | FINAL VERSION.pdf |
| A Multiply-And-Max/Min Neuron Paradigm for Aggressively Prunable Deep Neural Networks / Prono, Luciano; Bich, Philippe; Boretti, Chiara; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca. - In: IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS. - ISSN 2162-237X. - STAMPA. - 36:8(2025), pp. 14414-14427. [10.1109/tnnls.2025.3527644] | 1-gen-2025 | Prono, LucianoBich, PhilippeBoretti, ChiaraPareschi, FabioSetti, Gianluca + | A_Multiply-And-Max_Min_Neuron_Paradigm_for_Aggressively_Prunable_Deep_Neural_Networks.pdf |
| A simple approach to ECG Motion Artifacts Reduction by MDWD Coefficients Removal / Spinazzola, Elisabetta; Prono, Luciano; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca. - STAMPA. - (2025), pp. 1-5. (Intervento presentato al convegno 2025 IEEE International Symposium on Circuits and Systems (ISCAS) tenutosi a London (UK) nel 25-28 May 2025) [10.1109/iscas56072.2025.11043932]. | 1-gen-2025 | Spinazzola, ElisabettaProno, LucianoPareschi, FabioSetti, Gianluca + | A_simple_approach_to_ECG_Motion_Artifacts_Reduction_by_MDWD_Coefficients_Removal.pdf; ISCAS2025-wavelet.pdf |
| AI-Based Optimization of a DC-DC Buck Converter Control Network Across DCM and CCM Operating Region / Nikiforos, Lorenzo; Gabriele, Giuseppe; Gabriele, Francesco; Prono, Luciano; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca. - STAMPA. - (2025), pp. 1-5. (Intervento presentato al convegno 2025 IEEE International Symposium on Circuits and Systems (ISCAS) tenutosi a London (UK) nel 25-28 May 2025) [10.1109/iscas56072.2025.11043707]. | 1-gen-2025 | Nikiforos, LorenzoGabriele, FrancescoProno, LucianoPareschi, FabioSetti, Gianluca + | ISCAS2025-foros.pdf; AI-Based_Optimization_of_a_DC-DC_Buck_Converter_Control_Network_Across_DCM_and_CCM_Operating_Region.pdf |
| On the Universal Approximation Properties of Deep Neural Networks Using MAM Neurons / Bich, Philippe; Enttsel, Andriy; Prono, Luciano; Marchioni, Alex; Pareschi, Fabio; Mangia, Mauro; Setti, Gianluca; Rovatti, Riccardo. - In: IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE. - ISSN 0162-8828. - STAMPA. - 47:9(2025), pp. 8297-8304. [10.1109/tpami.2025.3570545] | 1-gen-2025 | Bich, PhilippeProno, LucianoPareschi, FabioSetti, Gianluca + | On_the_Universal_Approximation_Properties_of_Deep_Neural_Networks_Using_MAM_Neurons (1).pdf |
| Adaptive Robotic Arm Control with a Spiking Recurrent Neural Network on a Digital Accelerator / Linares-Barranco, Alejandro; Prono, Luciano; Lengenstein, Robert; Indiveri, Giacomo; Frenkel, Charlotte. - ELETTRONICO. - (2024). (Intervento presentato al convegno 2024 31st IEEE International Conference on Electronics, Circuits and Systems (ICECS) tenutosi a Nancy (Fra) nel 18-20 November 2024) [10.1109/icecs61496.2024.10849226]. | 1-gen-2024 | Prono, Luciano + | icecs24_overlay.pdf; icecs24_ieeexplore_version.pdf |
| Event-Based Eye Tracking. AIS 2024 Challenge Survey / Wang, Zuowen; Gao, Chang; Wu, Zongwei; Conde, Marcos V.; Timofte, Radu; Liu, Shih-Chii; Chen, Qinyu; Zha, Zheng-jun; Zhai, Wei; Han, Han; Liao, Bohao; Wu, Yuliang; Wan, Zengyu; Wang, Zhong; Cao, Yang; Tan, Ganchao; Chen, Jinze; Pei, Yan Ru; Brüers, Sasskia; Crouzet, Sébastien; Mclelland, Douglas; Coenen, Oliver; Zhang, Baoheng; Gao, Yizhao; Li, Jingyuan; So, Hayden Kwok-Hay; Bich, Philippe; Boretti, Chiara; Prono, Luciano; Lică, Mircea; Dinucu-Jianu, David; Grîu, Cătălin; Lin, Xiaopeng; Ren, Hongwei; Cheng, Bojun; Zhang, Xinan; Vial, Valentin; Yezzi, Anthony; Tsai, James. - ELETTRONICO. - 30:(2024), pp. 5810-5825. (Intervento presentato al convegno IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) tenutosi a Seattle, WA (USA) nel 17-18 June 2024) [10.1109/cvprw63382.2024.00590]. | 1-gen-2024 | Bich, PhilippeBoretti, ChiaraProno, Luciano + | AIS_2024_Event_based_Eye_Tracking_Challenge_Final_Report.pdf; Prono-Event.pdf |
| Memory in Motion: Exploring Leaky Integration of Time Surfaces for Event-based Eye-tracking / Boretti, Chiara; Bich, Philippe; Prono, Luciano; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca. - ELETTRONICO. - (2024). (Intervento presentato al convegno 2024 IEEE Biomedical Circuits and Systems Conference (BioCAS) tenutosi a Xian (Chi) nel 24-26 October 2024) [10.1109/biocas61083.2024.10798345]. | 1-gen-2024 | Boretti, ChiaraBich, PhilippeProno, LucianoPareschi, FabioSetti, Gianluca + | ieeexplore_version.pdf; preprint.pdf |
| Optimizing Vision Transformers: Leveraging Max and Min Operations for Efficient Pruning / Bich, P.; Boretti, C.; Prono, L.; Pareschi, F.; Rovatti, R.; Setti, G.. - STAMPA. - (2024), pp. 337-341. (Intervento presentato al convegno 2024 IEEE 6th International Conference on AI Circuits and Systems (AICAS) tenutosi a Abu Dhabi (United Arab Emirates) nel April 22-25, 2024) [10.1109/AICAS59952.2024.10595859]. | 1-gen-2024 | Bich P.Boretti C.Prono L.Pareschi F.Setti G. + | Optimizing_Vision_Transformers_Leveraging_Max_and_Min_Operations_for_Efficient_Pruning.pdf; aicas2024.pdf |
| Event-based Classification with Recurrent Spiking Neural Networks on Low-end Micro-Controller Units / Boretti, C.; Prono, L.; Frenkel, C.; Indiveri, G.; Pareschi, F.; Mangia, M.; Rovatti, R.; Setti, G.. - ELETTRONICO. - 2023:(2023), pp. 1-5. (Intervento presentato al convegno 56th IEEE International Symposium on Circuits and Systems, ISCAS 2023 tenutosi a Monterey, USA nel May 21-25, 2023) [10.1109/ISCAS46773.2023.10181998]. | 1-gen-2023 | Boretti C.Prono L.Pareschi F.Setti G. + | Event-based_Classification_with_Recurrent_Spiking_Neural_Networks_on_Low-end_Micro-Controller_Units.pdf; ISCAS23-SpikingClassification.pdf |
| Methods and Applications for Low-power Deep Neural Networks on Edge Devices / Prono, Luciano. - (2023 Mar 01), pp. 1-124. | 1-mar-2023 | PRONO, LUCIANO | conv_phd_thesis_reviewed.pdf; conv_sintesi_tesi.pdf |
| Multiply-And-Max/min Neurons at the Edge: Pruned Autoencoder Implementation / Bich, Philippe; Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca. - ELETTRONICO. - (2023), pp. 629-633. (Intervento presentato al convegno 2023 IEEE 66th International Midwest Symposium on Circuits and Systems (MWSCAS) tenutosi a Tempe, AZ, USA nel August 6-9, 2023) [10.1109/MWSCAS57524.2023.10405867]. | 1-gen-2023 | Bich, PhilippeProno, LucianoPareschi, FabioSetti, Gianluca + | MWSCAS2023-Pruning.pdf; Multiply-And-Max_min_Neurons_at_the_Edge_Pruned_Autoencoder_Implementation.pdf |
| PEDRo: an Event-based Dataset for Person Detection in Robotics / Boretti, Chiara; Bich, Philippe; Pareschi, Fabio; Prono, Luciano; Rovatti, Riccardo; Setti, Gianluca. - STAMPA. - (2023), pp. 4065-4070. (Intervento presentato al convegno IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) tenutosi a Vancouver (CA) nel 17-24 giugno 2023) [10.1109/CVPRW59228.2023.00426]. | 1-gen-2023 | Boretti, ChiaraBich, PhilippePareschi, FabioProno, LucianoSetti, Gianluca + | CVPRW2023-Pedro.pdf; PEDRo_an_Event-based_Dataset_for_Person_Detection_in_Robotics.pdf |
| Streaming Algorithms for Subspace Analysis: Comparative Review and Implementation on IoT Devices / Marchioni, A.; Prono, L.; Mangia, M.; Pareschi, F.; Rovatti, R.; Setti, G.. - In: IEEE INTERNET OF THINGS JOURNAL. - ISSN 2327-4662. - STAMPA. - 10:14(2023), pp. 12798-12810. [10.1109/JIOT.2023.3256529] | 1-gen-2023 | Prono L.Pareschi F.Setti G. + | JIOT3256529.pdf; Streaming_Algorithms_for_Subspace_Analysis_Comparative_Review_and_Implementation_on_IoT_Devices.pdf |
| A Non-conventional Sum-and-Max based Neural Network layer for Low Power Classification / Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca. - STAMPA. - (2022), pp. 712-716. (Intervento presentato al convegno 2022 International Symposium on Circuits and Systems tenutosi a Austin, Texas nel May 28 - June 1, 2022) [10.1109/ISCAS48785.2022.9937576]. | 1-gen-2022 | Prono, LucianoPareschi, FabioSetti, Gianluca + | iscas2022-samnmax.pdf; A_Non-conventional_Sum-and-Max_based_Neural_Network_layer_for_Low_Power_Classification.pdf |
| Aggressively prunable MAM²-based Deep Neural Oracle for ECG acquisition by Compressed Sensing / Bich, Philippe; Prono, Luciano; Mangia, Mauro; Pareschi, Fabio; Rovatti, Riccardo; Setti, Gianluca. - STAMPA. - (2022), pp. 163-167. (Intervento presentato al convegno 2022 IEEE Biomedical Circuits and System Conference (BioCAS2022) tenutosi a Taipei, Taiwan nel October 13-15, 2022) [10.1109/BioCAS54905.2022.9948676]. | 1-gen-2022 | Bich, PhilippeProno, LucianoPareschi, FabioSetti, Gianluca + | biocas2022-MAMbasedCS.pdf; Aggressively_prunable_MAM-based_Deep_Neural_Oracle_for_ECG_acquisition_by_Compressed_Sensing.pdf |
| An MCU Implementation of PCA/PSA Streaming Algorithms for EEG Features Extraction / Prono, L.; Marchioni, A.; Mangia, M.; Pareschi, F.; Rovatti, R.; Setti, G.. - STAMPA. - (2021), pp. 01-05. (Intervento presentato al convegno 2021 IEEE Biomedical Circuits and Systems Conference, BioCAS 2021 tenutosi a Berlin, Germany (virtual) nel Oct. 6-9, 2021) [10.1109/BioCAS49922.2021.9645035]. | 1-gen-2021 | Prono L.Pareschi F.Setti G. + | An_MCU_Implementation_of_PCA_PSA_Streaming_Algorithms_for_EEG_Features_Extraction.pdf; Biocas2021-PCAonMCU.pdf |
| A passive and low-complexity Compressed Sensing architecture based on a charge-redistribution SAR ADC / Paolino, C.; Prono, L.; Pareschi, F.; Mangia, M.; Rovatti, R.; Setti, G.. - In: INTEGRATION. - ISSN 0167-9260. - STAMPA. - 75:(2020), pp. 40-51. [10.1016/j.vlsi.2020.05.007] | 1-gen-2020 | Paolino C.Prono L.Pareschi F.Setti G. + | SAR_CS___PRIME_follow_up.pdf; 1-s2.0-S016792601930553X-main.pdf |
| Deep Neural Oracle with Support Identification in the Compressed Domain / Prono, L.; Mangia, M.; Marchioni, A.; Pareschi, F.; Rovatti, R.; Setti, G.. - In: IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN CIRCUITS AND SYSTEMS. - ISSN 2156-3357. - STAMPA. - 10:4(2020), pp. 458-468. [10.1109/JETCAS.2020.3039731] | 1-gen-2020 | Prono L.Pareschi F.Setti G. + | JETCAS3039731.pdf; Deep_Neural_Oracle_With_Support_Identification_in_the_Compressed_Domain.pdf |
| Deep Neural Oracles for Short-Window Optimized Compressed Sensing of Biosignals / Mangia, M.; Prono, L.; Marchioni, A.; Pareschi, F.; Rovatti, R.; Setti, G.. - In: IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS. - ISSN 1932-4545. - STAMPA. - 14:3(2020), pp. 545-557. [10.1109/TBCAS.2020.2982824] | 1-gen-2020 | Prono L.Pareschi F.Setti G. + | TBCAS2982824.pdf; 09044777.pdf |