DAGHERO, FRANCESCO
DAGHERO, FRANCESCO
Dipartimento Interateneo di Scienze, Progetto e Politiche del Territorio
058008
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.
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes
2024 Daghero, Francesco; Burrello, Alessio; Macii, Enrico; Montuschi, Paolo; Poncino, Massimo; JAHIER PAGLIARI, Daniele
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
Implementation of Machine Learning Algorithms on Ultra-Low-Power Hardware for In-Sensor Inference
2024 Daghero, Francesco
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays
2023 Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Pagliari, Daniele Jahier
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
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference
2023 Xie, Chen; Burrello, Alessio; Daghero, Francesco; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele
Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks
2022 Daghero, Francesco; Burrello, Alessio; Xie, Chen; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele
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
Energy-efficient deep learning inference on edge devices
2021 Daghero, F.; Jahier Pagliari, D.; Poncino, M.
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.
Sequence-To-Sequence Neural Networks Inference on Embedded Processors Using Dynamic Beam Search
2020 Jahier Pagliari, Daniele; Daghero, Francesco; Poncino, Massimo
Citazione | Data di pubblicazione | Autori | File |
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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 |
Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes / Daghero, Francesco; Burrello, Alessio; Macii, Enrico; Montuschi, Paolo; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - In: IEEE INTERNET OF THINGS JOURNAL. - ISSN 2327-4662. - 11:1(2024), pp. 742-757. [10.1109/JIOT.2023.3286276] | 1-gen-2024 | Francesco DagheroAlessio BurrelloEnrico MaciiPaolo MontuschiMassimo PoncinoDaniele Jahier Pagliari | dynamic_decision_tree_ensembles_for_energy_efficient_inference_on_iot_edge_nodes_post-print.pdf; Dynamic_Decision_Tree_Ensembles_for_Energy-Efficient_Inference_on_IoT_Edge_Nodes.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 |
Implementation of Machine Learning Algorithms on Ultra-Low-Power Hardware for In-Sensor Inference / Daghero, Francesco. - (2024 May 21), pp. 1-114. | 21-mag-2024 | DAGHERO, FRANCESCO | conv_tesi-final.pdf; abstract_tesi_daghero.pdf |
Efficient Deep Learning Models for Privacy-preserving People Counting on Low-resolution Infrared Arrays / Xie, Chen; Daghero, Francesco; Chen, Yukai; Castellano, Marco; Gandolfi, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Pagliari, Daniele Jahier. - In: IEEE INTERNET OF THINGS JOURNAL. - ISSN 2327-4662. - 10:15(2023), pp. 13895-13907. [10.1109/JIOT.2023.3263290] | 1-gen-2023 | Xie, ChenDaghero, FrancescoChen, YukaiCalimera, AndreaMacii, EnricoPoncino, MassimoPagliari, Daniele Jahier + | Efficient_Deep_Learning_Models_for_Privacy-preserving_People_Counting_on_Low-resolution_Infrared_Arrays.pdf; Efficient_Deep_Learning_Models_for_Privacy-Preserving_People_Counting_on_Low-Resolution_Infrared_Arrays.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 |
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference / Xie, Chen; Burrello, Alessio; Daghero, Francesco; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - In: SENSORS. - ISSN 1424-8220. - 23:4(2023), pp. 1-21. [10.3390/s23042065] | 1-gen-2023 | CHEN XIEAlessio BurrelloFrancesco DagheroLUCA BENINIANDREA CALIMERAEnrico MACIIMassimo PoncinoDANIELE PAGLIARI | Reducing the Energy Consumption of sEMG-Based-Gesture-Recognition-at-the Edge-Using-Transformers-and-Dynamic-Inference.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.pdf; Human-Activity-Recognition-on-Microcontrollers-with-Quantized-and-Adaptive-Deep-Neural-Networks.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 |
Energy-efficient deep learning inference on edge devices / Daghero, F.; Jahier Pagliari, D.; Poncino, M. (ADVANCES IN COMPUTERS). - In: Hardware Accelerator Systems for Artificial Intelligence and Machine Learning / Shiho K., Ganesh C. D.. - ELETTRONICO. - [s.l] : Elsevier, 2021. - ISBN 978-0-12-823123-4. - pp. 247-301 [10.1016/bs.adcom.2020.07.002] | 1-gen-2021 | Daghero F.Jahier Pagliari D.Poncino M. | preprint.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 |
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 |