DAGHERO, FRANCESCO

DAGHERO, FRANCESCO  

Dipartimento di Automatica e Informatica  

058008  

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Citazione Data di pubblicazione Autori File
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.pdfAdaptive_Random_Forests_for_Energy-Efficient_Inference_on_Microcontrollers-POSTPRINT.pdf.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.pdfclass_score_margin.pdf
Energy-efficient deep learning inference on edge devices / Daghero, F.; Jahier Pagliari, D.; Poncino, M.. - ELETTRONICO. - 122:(2021), pp. 247-301. [10.1016/bs.adcom.2020.07.002] 1-gen-2021 Daghero F.Jahier Pagliari D.Poncino M. preprint.pdf
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks / Daghero, Francesco; Burrello, Alessio; Xie, Chen; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - In: ACM TRANSACTIONS ON EMBEDDED COMPUTING SYSTEMS. - ISSN 1539-9087. - ELETTRONICO. - 21:4(2022), pp. 1-28. [10.1145/3542819] 1-gen-2022 Daghero, FrancescoBurrello, AlessioXie, ChenCalimera, AndreaMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele + Human-Activity-Recognition-on-Microcontrollers-with-Quantized-and-Adaptive-Deep-Neural-Networks-POSTPRINT.pdfHuman-Activity-Recognition-on-Microcontrollers-with-Quantized-and-Adaptive-Deep-Neural-Networks.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). ((Intervento presentato al convegno 2022 IEEE International Symposium on Circuits and Systems (ISCAS). 1-gen-2022 Chen XieFrancesco DagheroYukai ChenAndrea CalimeraEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + Privacy-preserving_Social_Distance_Monitoring_arxiv.pdf
Sequence-To-Sequence Neural Networks Inference on Embedded Processors Using Dynamic Beam Search / Jahier Pagliari, Daniele; Daghero, Francesco; Poncino, Massimo. - In: ELECTRONICS. - ISSN 2079-9292. - ELETTRONICO. - 9:2(2020), pp. 1-21. [10.3390/electronics9020337] 1-gen-2020 Jahier Pagliari, DanieleDaghero, FrancescoPoncino, Massimo electronics-09-00337-v2(1).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.pdfTwo-stage_Human_Activity_Recognition_on_Microcontrollers_with_Decision_Trees_and_CNNs-POSTPRINT.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.pdfDaghero et al. - 2021 - Ultra-Compact Binary Neural Networks for Human Activity Recognition on RISC-V Processors.pdf