Archivio Istituzionale della RicercaDAGHERO, FRANCESCO
DAGHERO, FRANCESCO
Dipartimento Interateneo di Scienze, Progetto e Politiche del Territorio
058008
Mostra
records
Risultati 1 - 10 di 10 (tempo di esecuzione: 0.01 secondi).
Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones
In corso di stampa Risso, Matteo; Daghero, Francesco; Motetti, BEATRICE ALESSANDRA; JAHIER PAGLIARI, Daniele; Macii, Enrico; Poncino, Massimo; Burrello, Alessio
AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques
2024 Aliffi, G. E.; Baixinho, J.; Barri, D.; Daghero, F.; Di Carolo, N.; Faraone, G.; Grosso, M.; Jahier Pagliari, D.; Jakovenko, J.; Janicek, V.; Licastro, D.; Melikyan, V.; Risso, M.; Romano, V.; Serianni, E.; Stastny, M.; Vacula, P.; Vitanza, G.; Xie, C.
HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays
2024 Risso, M.; Xie, C.; Daghero, F.; Burrello, A.; Mollaei, S.; Castellano, M.; Macii, E.; Poncino, M.; JAHIER PAGLIARI, Daniele
Model-Driven Dataset Generation for Data-Driven Battery SOH Models
2023 Sidahmed Alamin, Khaled Sidahmed; Daghero, Francesco; Pollo, Giovanni; Pagliari, Daniele Jahier; Chen, Yukai; Macii, Enrico; Poncino, Massimo; Vinco, Sara
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers
2022 Daghero, F; Burrello, A; Xie, C; Benini, L; Calimera, A; Macii, E; Poncino, M; Jahier Pagliari, D
Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs
2022 Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele
Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs
2022 Daghero, Francesco; Jahier Pagliari, Daniele; Poncino, Massimo
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers
2021 Daghero, Francesco; Burrello, Alessio; Xie, Chen; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele
Ultra-compact binary neural networks for human activity recognition on RISC-V processors
2021 Daghero, F.; Xie, C.; Jahier Pagliari, D.; Burrello, A.; Castellano, M.; Gandolfi, L.; Calimera, A.; Macii, E.; Poncino, M.
Energy-efficient adaptive machine learning on IoT end-nodes with class-dependent confidence
2020 Daghero, F.; Burrello, A.; Jahier Pagliari, D.; Benini, L.; Macii, E.; Poncino, M.
| Citazione | Data di pubblicazione | Autori | File |
|---|---|---|---|
| Optimized Deployment of Deep Neural Networks for Visual Pose Estimation on Nano-drones / Risso, Matteo; Daghero, Francesco; Motetti, BEATRICE ALESSANDRA; JAHIER PAGLIARI, Daniele; Macii, Enrico; Poncino, Massimo; Burrello, Alessio. - ELETTRONICO. - (In corso di stampa). (Intervento presentato al convegno ERF 2024 | European Robotics Forum tenutosi a Rimini (IT) nel March, 13 - 15, 2024). | In corso di stampa | Matteo RissoFrancesco DagheroBeatrice Alessandra MotettiDaniele Jahier PagliariEnrico MaciiMassimo PoncinoAlessio Burrello | 2402.15273v1.pdf |
| AMBEATion: Analog Mixed-Signal Back-End Design Automation with Machine Learning and Artificial Intelligence Techniques / Aliffi, G. E.; Baixinho, J.; Barri, D.; Daghero, F.; Di Carolo, N.; Faraone, G.; Grosso, M.; Jahier Pagliari, D.; Jakovenko, J.; Janicek, V.; Licastro, D.; Melikyan, V.; Risso, M.; Romano, V.; Serianni, E.; Stastny, M.; Vacula, P.; Vitanza, G.; Xie, C.. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 tenutosi a Valencia (ESP) nel 25-27 March 2024). | 1-gen-2024 | Daghero F.Jahier Pagliari D.Risso M.Xie C. + | AMBEATion_Analog_Mixed-Signal_Back-End_Design_Automation_with_Machine_Learning_and_Artificial_Intelligence_Techniques.pdf; AMBEATion___DATE_MPP.pdf |
| HW-SW Optimization of DNNs for Privacy-Preserving People Counting on Low-Resolution Infrared Arrays / Risso, M.; Xie, C.; Daghero, F.; Burrello, A.; Mollaei, S.; Castellano, M.; Macii, E.; Poncino, M.; JAHIER PAGLIARI, Daniele. - ELETTRONICO. - (2024), pp. 1-6. (Intervento presentato al convegno Design, Automation and Test in Europe Conference and Exhibition, DATE 2024 tenutosi a Valencia (ESP) nel 25-27 March 2024). | 1-gen-2024 | Risso M.Xie C.Daghero F.Burrello A.Mollaei S.MacIi E.Poncino M.Daniele Jahier Pagliari + | HW-SW_Optimization_of_DNNs_for_Privacy-Preserving_People_Counting_on_Low-Resolution_Infrared_Arrays.pdf; 2402.01226v1.pdf |
| Model-Driven Dataset Generation for Data-Driven Battery SOH Models / Sidahmed Alamin, Khaled Sidahmed; Daghero, Francesco; Pollo, Giovanni; Pagliari, Daniele Jahier; Chen, Yukai; Macii, Enrico; Poncino, Massimo; Vinco, Sara. - (2023), pp. 1-6. (Intervento presentato al convegno IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED) tenutosi a Vienna (AUT) nel 07-08 August 2023) [10.1109/ISLPED58423.2023.10244587]. | 1-gen-2023 | Sidahmed Alamin, Khaled SidahmedDaghero, FrancescoPollo, GiovanniPagliari, Daniele JahierChen, YukaiMacii, EnricoPoncino, MassimoVinco, Sara | Model-Driven_Dataset_Generation_for_Data-Driven_Battery_SOH_Models.pdf; Model-Driven_Dataset_Generation_for_Data-Driven_Battery_SOH_Models.pdf |
| Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers / Daghero, F; Burrello, A; Xie, C; Benini, L; Calimera, A; Macii, E; Poncino, M; Jahier Pagliari, D. - STAMPA. - 661:(2022), pp. 25-47. (Intervento presentato al convegno 29th IFIP WG 10.5/IEEE International Conference on Very Large Scale Integration (VLSI-SoC 2021) tenutosi a Singapore nel October 4-8, 2021) [10.1007/978-3-031-16818-5_2]. | 1-gen-2022 | Daghero, FBurrello, AXie, CBenini, LCalimera, AMacii, EPoncino, MJahier Pagliari, D | postprint.pdf; vlsi-soc-chapter.pdf |
| Privacy-preserving Social Distance Monitoring on Microcontrollers with Low-Resolution Infrared Sensors and CNNs / Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - (2022), pp. 1332-1336. (Intervento presentato al convegno 2022 IEEE International Symposium on Circuits and Systems (ISCAS) tenutosi a Austin, TX (USA) nel 27 May 2022 - 01 June 2022) [10.1109/ISCAS48785.2022.9937837]. | 1-gen-2022 | Chen XieFrancesco DagheroYukai ChenAndrea CalimeraEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + | Privacy-preserving_Social_Distance_Monitoring_arxiv.pdf; Privacy-preserving_Social_Distance_Monitoring_on_Microcontrollers_with_Low-Resolution_Infrared_Sensors_and_CNNs.pdf |
| Two-stage Human Activity Recognition on Microcontrollers with Decision Trees and CNNs / Daghero, Francesco; Jahier Pagliari, Daniele; Poncino, Massimo. - ELETTRONICO. - (2022), pp. 173-176. (Intervento presentato al convegno 17th International Conference on Ph.D Research in Microelectronics and Electronics, PRIME 2022 tenutosi a Villasimius (ITA) nel 2022) [10.1109/PRIME55000.2022.9816745]. | 1-gen-2022 | Daghero, FrancescoJahier Pagliari, DanielePoncino, Massimo | Two-stage_Human_Activity_Recognition_on_Microcontrollers_with_Decision_Trees_and_CNNs.pdf; Two-stage_Human_Activity_Recognition_on_Microcontrollers_with_Decision_Trees_and_CNNs-POSTPRINT.pdf |
| Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers / Daghero, Francesco; Burrello, Alessio; Xie, Chen; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - ELETTRONICO. - (2021), pp. 1-6. (Intervento presentato al convegno 29th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2021 tenutosi a Virtual Conference nel 2021) [10.1109/VLSI-SoC53125.2021.9606986]. | 1-gen-2021 | Daghero, FrancescoBurrello, AlessioXie, ChenBenini, LucaCalimera, AndreaMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele | Adaptive_Random_Forests_for_Energy-Efficient_Inference_on_Microcontrollers.pdf; Adaptive_Random_Forests_for_Energy-Efficient_Inference_on_Microcontrollers-POSTPRINT.pdf.pdf |
| Ultra-compact binary neural networks for human activity recognition on RISC-V processors / Daghero, F.; Xie, C.; Jahier Pagliari, D.; Burrello, A.; Castellano, M.; Gandolfi, L.; Calimera, A.; Macii, E.; Poncino, M.. - ELETTRONICO. - (2021), pp. 3-11. (Intervento presentato al convegno 18th ACM International Conference on Computing Frontiers 2021, CF 2021 tenutosi a Virtual conference nel 2021) [10.1145/3457388.3458656]. | 1-gen-2021 | Daghero F.Xie C.Jahier Pagliari D.Burrello A.Calimera A.MacIi E.Poncino M. + | BNN_CF-post-print.pdf; Daghero et al. - 2021 - Ultra-Compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors.pdf |
| Energy-efficient adaptive machine learning on IoT end-nodes with class-dependent confidence / Daghero, F.; Burrello, A.; Jahier Pagliari, D.; Benini, L.; Macii, E.; Poncino, M.. - ELETTRONICO. - (2020), pp. 1-4. (Intervento presentato al convegno 27th IEEE International Conference on Electronics, Circuits and Systems, ICECS 2020 tenutosi a Virtual conference nel 2020) [10.1109/ICECS49266.2020.9294863]. | 1-gen-2020 | Daghero F.Burrello A.Jahier Pagliari D.Macii E.Poncino M. + | Daghero et al. - 2020 - Energy-Efficient Adaptive Machine Learning on IoT End-Nodes With Class-Dependent Confidence.pdf; class_score_margin.pdf |